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Transform Your Apps by Embracing SwiftUI and Modern Development Practices Today The technology evolves, so must we. Let me share with you the journey of replacing these 10 legacy libraries with cutting-edge solutions that have revitalized my development process. 1. Alamofire ➡️ URLSession with async/await Letting Go of Alamofire I used to swear by Alamofire for all my networking needs. It simplified HTTP requests and made handling responses a breeze. But with the introduction of Swift’s async/await and the powerful capabilities of URLSession, I've found that I can achieve the same results with cleaner, more efficient code. Embracing URLSession has reduced dependencies and made my networking layer feel more native and integrated. 2. RxSwift (UIKit) ➡️ Combine Moving Beyond RxSwift to Combine RxSwift opened my eyes to the possibilities of reactive programming. However, integrating it with SwiftUI felt like forcing two puzzle pieces that didn’t quite fit. Transitioning to Combine, Apple’s native reactive framework, has been a revelation. The seamless integration with SwiftUI has made my codebase more cohesive and has significantly reduced complexity. 3. Realm ➡️ Core Data with SwiftUI Replacing Realm with Core Data and SwiftUI Realm was my trusted companion for data persistence. Its simplicity and performance were unmatched — until SwiftUI enhanced its integration with Core Data. With features like @FetchRequest and better managedObjectContext support, Core Data has become more approachable and efficient. Making the switch has unified my data management and improved app stability. 4. SDWebImage ➡️ AsyncImage or Nuke Evolving from SDWebImage to AsyncImage and Nuke Loading images asynchronously was a challenge that SDWebImage elegantly solved. But with SwiftUI’s AsyncImage component introduced in iOS 15, I've found a native solution that fits perfectly into my apps. For those times when I need more advanced image processing, Nuke has been a fantastic library that offers SwiftUI support and powerful features. 5. Kingfisher ➡️ Kingfisher for SwiftUI Upgrading Kingfisher for SwiftUI Kingfisher has been a staple for image downloading and caching. The good news is that it’s kept up with the times. Its latest versions fully support SwiftUI, making the integration smoother than ever. Continuing with Kingfisher feels like working with an old friend who’s learned new tricks — it’s familiar yet refreshingly modern. 6. Lottie ➡️ Lottie for SwiftUI Enhancing Animations with Lottie in SwiftUI Animations add that magical touch to our apps, and Lottie has been instrumental in bringing animations to life. Now that Lottie supports SwiftUI, incorporating those delightful animations has become even more seamless. It’s reignited my passion for creating engaging user experiences. 7. SwiftyJSON ➡️ Codable Embracing Codable over SwiftyJSON SwiftyJSON was once my go-to for parsing JSON data. It simplified a complex process and saved me countless hours. But with Swift’s native Codable protocol, I've discovered a more streamlined and type-safe way to handle JSON. This shift has made my networking code cleaner and more reliable. 8. Charts ➡️ Apple Charts Framework Utilizing Apple’s Native Charts Framework Creating visually appealing charts was a daunting task that often required bulky third-party libraries. With Apple’s introduction of the native Charts framework, building data visualizations has become an integrated and enjoyable part of development. It’s allowed me to present data in engaging ways without the overhead of external dependencies. 9. SnapKit ➡️ SwiftUI’s Layout System Transitioning from SnapKit to SwiftUI’s Layout System SnapKit made Auto Layout less of a headache, and I was grateful for it. However, SwiftUI’s declarative layout approach has revolutionized how I design interfaces. Using stacks and alignment guides, I’ve been able to create complex layouts with less code and greater flexibility. It’s made UI development a joy again. 10. MBProgressHUD ➡️ ProgressView Modernizing with ProgressView over MBProgressHUD MBProgressHUD was the standard for indicating progress and loading states. But SwiftUI’s ProgressView has provided a native, customizable alternative that fits naturally within my apps. It's simplified my code and enhanced the user experience by providing smooth and responsive feedback. Looking Ahead: The Future of iOS Development Making these changes hasn’t just updated my projects — it’s revitalized my passion for development. Here’s what I see on the horizon: SwiftUI Becoming the Norm: By the end of 2025, I anticipate that SwiftUI will be the foundation of most new iOS projects.
Reduced Reliance on External Libraries: As native solutions continue to improve, the need for third-party libraries will diminish, leading to more stable and maintainable codebases.
Adoption of Native Reactive Programming: Combine will likely become the standard for reactive programming in Swift, offering seamless integration and performance benefits. What about you? Have you started transitioning away from these legacy libraries? I’d love to hear your experiences, challenges, or any tips you might have. Let’s start a conversation and help each other grow in this ever-evolving field! Swift - SwiftUI - iOS - Mobile Development Transform Your Apps by Embracing SwiftUI and Modern Development Practices Today The technology evolves, so must we. Let me share with you the journey of replacing these 10 legacy libraries with cutting-edge solutions that have revitalized my development process. 1. Alamofire ➡️ URLSession with async/await Alamofire ➡️ URLSession with async/await Letting Go of Alamofire I used to swear by Alamofire for all my networking needs. It simplified HTTP requests and made handling responses a breeze. But with the introduction of Swift’s async/await and the powerful capabilities of URLSession , I've found that I can achieve the same results with cleaner, more efficient code. Embracing URLSession has reduced dependencies and made my networking layer feel more native and integrated. async/await URLSession URLSession 2. RxSwift (UIKit) ➡️ Combine RxSwift (UIKit) ➡️ Combine Moving Beyond RxSwift to Combine RxSwift opened my eyes to the possibilities of reactive programming. However, integrating it with SwiftUI felt like forcing two puzzle pieces that didn’t quite fit. Transitioning to Combine, Apple’s native reactive framework, has been a revelation. The seamless integration with SwiftUI has made my codebase more cohesive and has significantly reduced complexity. 3. Realm ➡️ Core Data with SwiftUI Realm ➡️ Core Data with SwiftUI Replacing Realm with Core Data and SwiftUI Realm was my trusted companion for data persistence. Its simplicity and performance were unmatched — until SwiftUI enhanced its integration with Core Data. With features like @FetchRequest and better managedObjectContext support, Core Data has become more approachable and efficient. Making the switch has unified my data management and improved app stability. @FetchRequest managedObjectContext 4. SDWebImage ➡️ AsyncImage or Nuke SDWebImage ➡️ AsyncImage or Nuke Evolving from SDWebImage to AsyncImage and Nuke Loading images asynchronously was a challenge that SDWebImage elegantly solved. But with SwiftUI’s AsyncImage component introduced in iOS 15, I've found a native solution that fits perfectly into my apps. For those times when I need more advanced image processing, Nuke has been a fantastic library that offers SwiftUI support and powerful features. AsyncImage 5. Kingfisher ➡️ Kingfisher for SwiftUI Kingfisher ➡️ Kingfisher for SwiftUI Upgrading Kingfisher for SwiftUI Kingfisher has been a staple for image downloading and caching. The good news is that it’s kept up with the times. Its latest versions fully support SwiftUI, making the integration smoother than ever. Continuing with Kingfisher feels like working with an old friend who’s learned new tricks — it’s familiar yet refreshingly modern. 6. Lottie ➡️ Lottie for SwiftUI Lottie ➡️ Lottie for SwiftUI Enhancing Animations with Lottie in SwiftUI Animations add that magical touch to our apps, and Lottie has been instrumental in bringing animations to life. Now that Lottie supports SwiftUI, incorporating those delightful animations has become even more seamless. It’s reignited my passion for creating engaging user experiences. 7. SwiftyJSON ➡️ Codable SwiftyJSON ➡️ Codable Embracing Codable over SwiftyJSON SwiftyJSON was once my go-to for parsing JSON data. It simplified a complex process and saved me countless hours. But with Swift’s native Codable protocol, I've discovered a more streamlined and type-safe way to handle JSON. This shift has made my networking code cleaner and more reliable. Codable 8. Charts ➡️ Apple Charts Framework Charts ➡️ Apple Charts Utilizing Apple’s Native Charts Framework Creating visually appealing charts was a daunting task that often required bulky third-party libraries. With Apple’s introduction of the native Charts framework, building data visualizations has become an integrated and enjoyable part of development. It’s allowed me to present data in engaging ways without the overhead of external dependencies. 9. SnapKit ➡️ SwiftUI’s Layout System SnapKit ➡️ Transitioning from SnapKit to SwiftUI’s Layout System SnapKit made Auto Layout less of a headache, and I was grateful for it. However, SwiftUI’s declarative layout approach has revolutionized how I design interfaces. Using stacks and alignment guides, I’ve been able to create complex layouts with less code and greater flexibility. It’s made UI development a joy again. 10. MBProgressHUD ➡️ ProgressView MBProgressHUD ➡️ ProgressView Modernizing with ProgressView over MBProgressHUD MBProgressHUD was the standard for indicating progress and loading states. But SwiftUI’s ProgressView has provided a native, customizable alternative that fits naturally within my apps. It's simplified my code and enhanced the user experience by providing smooth and responsive feedback. ProgressView Looking Ahead: The Future of iOS Development Making these changes hasn’t just updated my projects — it’s revitalized my passion for development. Here’s what I see on the horizon: SwiftUI Becoming the Norm: By the end of 2025, I anticipate that SwiftUI will be the foundation of most new iOS projects. Reduced Reliance on External Libraries: As native solutions continue to improve, the need for third-party libraries will diminish, leading to more stable and maintainable codebases. Adoption of Native Reactive Programming: Combine will likely become the standard for reactive programming in Swift, offering seamless integration and performance benefits. SwiftUI Becoming the Norm: By the end of 2025, I anticipate that SwiftUI will be the foundation of most new iOS projects. SwiftUI Becoming the Norm: Reduced Reliance on External Libraries: As native solutions continue to improve, the need for third-party libraries will diminish, leading to more stable and maintainable codebases. Reduced Reliance on External Libraries: Adoption of Native Reactive Programming: Combine will likely become the standard for reactive programming in Swift, offering seamless integration and performance benefits. Adoption of Native Reactive Programming: What about you? Have you started transitioning away from these legacy libraries? I’d love to hear your experiences, challenges, or any tips you might have. Let’s start a conversation and help each other grow in this ever-evolving field! Swift - SwiftUI - iOS - Mobile Development

Top 10 Open Source iOS Libraries Every Developer Should Replace in 2024

Top 10 Greatest Games of All Time 
According to the Hackernoon Team

Top 10 najboljih igara svih vremena 
Prema Hackernoon timu

Els 10 millors jocs de tots els temps 
Segons l'equip Hackernoon

Top 10 nejlepších her všech dob 
Podle Hackernoon Teamu

Die 10 besten Spiele aller Zeiten
Laut dem Hackernoon-Team

Los 10 mejores juegos de todos los tiempos
según el equipo de Hackernoon

हैकरनून टीम के अनुसार अब तक के 10 सबसे महान खेल

史上最高のゲームトップ10 
Hackernoonチームによる

Бардык убакыттардын эң мыкты 10 оюндары 
Hackernoon командасынын айтымында

د هر وخت غوره 10 غوره لوبې 
د هیکرنون ټیم په وینا

Топ 10 најбољих игара свих времена 
Према Хацкерноон тиму

Top 10 Бузургтарин бозиҳои ҳама вақт 
Бино ба маълумоти Hackernoon Team

Top 10 Greatest Games of All Time 
Ngokutsho kweQela leHackernoon

We can't just show 'em programmatic ADs - can we? That's where HackerNoon's Targeted ADs have the traditional AD models beat by over 5x. Some of that is our innovative AD strategy (delivers ~0.40% CTR), but a lot also depends on your AD copies. Without further ado, here are the 10 AD copies that devs clicked the most: Join the Gen-AI revolution
Let Engineers & PMs focus on Product
Secure your critical AI workloads
Start API security testing for free
Apply now and work #LikeABosch
Learn JS Clean Code Magic from Sonar
SEGMENT your Customer Data For Free!
Drag & Drop Auth For Any App
Call me, text me with Plivo APIs
Never build a CSV importer again Y'all are smart folks, so you'd have already noticed it, but it took my sales-brain more than a bit to decipher :/ All of the top-performing ADs followed the <Action> <Personalize> <Value> structure to achieve the best results!! Do your ads get you 0.40% CTR OR Are you still advertising on social media and getting ripped off by bot clicks? Book a meeting with us to discuss your winning AD copy - for FREE! We can't just show 'em programmatic ADs - can we? That's where HackerNoon's Targeted ADs have the traditional AD models beat by over 5x. Some of that is our innovative AD strategy (delivers ~0.40% CTR), but a lot also depends on your AD copies. Without further ado, here are the 10 AD copies that devs clicked the most: Join the Gen-AI revolution Let Engineers & PMs focus on Product Secure your critical AI workloads Start API security testing for free Apply now and work #LikeABosch Learn JS Clean Code Magic from Sonar SEGMENT your Customer Data For Free! Drag & Drop Auth For Any App Call me, text me with Plivo APIs Never build a CSV importer again Join the Gen-AI revolution Let Engineers & PMs focus on Product Secure your critical AI workloads Start API security testing for free Apply now and work #LikeABosch Learn JS Clean Code Magic from Sonar SEGMENT your Customer Data For Free! Drag & Drop Auth For Any App Call me, text me with Plivo APIs Never build a CSV importer again Y'all are smart folks, so you'd have already noticed it, but it took my sales-brain more than a bit to decipher :/ All of the top-performing ADs followed the <Action> <Personalize> <Value> structure to achieve the best results!! All of the top-performing ADs followed the <Action> <Personalize> <Value> structure to achieve the best results!! <Action> <Personalize> <Value> Do your ads get you 0.40% CTR OR Are you still advertising on social media and getting ripped off by bot clicks? Book a meeting with us to discuss your winning AD copy - for FREE! Book a meeting with us to discuss your winning AD copy - for FREE! Book a meeting with us to discuss your winning AD copy - for FREE!

Top 10 AD Copies That Programmers Loved on HackerNoon

Las 10 mejores copias de AD que los programadores adoraron en HackerNoon

10 نسخه برتر AD که برنامه نویسان در HackerNoon دوست داشتند

10 parasta mainoskopiota, joista ohjelmoijat rakastivat HackerNoonissa

AD 10 լավագույն օրինակները, որոնք ծրագրավորողները սիրում էին HackerNoon-ում

HackerNoon でプログラマーが愛したトップ 10 の AD コピー

10 populiariausių reklaminių kopijų, kurias programuotojai pamėgo „HackerNoon“.

As 10 principais cópias de AD que os programadores adoraram no HackerNoon

HackerNoon හි ක්‍රමලේඛකයින් ආදරය කරන AD පිටපත් 10 ක්

Topp 10 AD-kopior som programmerare älskade på HackerNoon

Nakala 10 Bora za AD Ambazo Waandaaji wa Programu Walipenda kwenye HackerNoon

ፕሮግራመርስ ዝፈትውዎም ብሉጻት 10 ቅዳሓት ኤዲ ኣብ HackerNoon

Top 10 bản sao quảng cáo được các lập trình viên yêu thích trên HackerNoon

An Architect’s Guide to the Top 10 Tools Needed to Build the Modern Data Lake

আধুনিক ডেটা লেক তৈরির জন্য প্রয়োজনীয় শীর্ষ 10টি সরঞ্জামের জন্য একজন স্থপতির গাইড

Ein Architektenhandbuch zu den 10 wichtigsten Tools zum Aufbau eines modernen Data Lake

Guía para arquitectos sobre las 10 herramientas principales necesarias para crear un lago de datos moderno

Guide de l’architecte sur les 10 principaux outils nécessaires à la création du lac de données moderne

आधुनिक डेटा लेक के निर्माण के लिए आवश्यक शीर्ष 10 उपकरणों के लिए एक आर्किटेक्ट गाइड

現代のデータレイクを構築するために必要なトップ 10 ツールに関するアーキテクト ガイド

Um guia de arquiteto para as 10 principais ferramentas necessárias para construir o moderno Data Lake

Руководство архитектора по 10 лучшим инструментам, необходимым для создания современного озера данных

Modern Veri Gölünü Oluşturmak İçin Gereken En İyi 10 Araca Yönelik Bir Mimarın Rehberi

Hướng dẫn của Kiến trúc sư về 10 Công cụ hàng đầu cần thiết để Xây dựng Hồ dữ liệu hiện đại

架构师指南：构建现代数据湖所需的十大工具

The hype for Gen AI has settled as organizations have begun to lay the groundwork for seamless adoption. But there are decisions that must be made, dilemmas to be solved, and questions to be answered. We list the top 10 Enterprise Gen AI dilemmas facing the C-suite leaders. Open or Closed Gen AI models The world came to know about Gen AI only through licensed models such as Open AI’s GPT or Google’s Bard. These systems shared very little details about the underlying code or how their systems were trained. But the Geminis and ChatGPTs indeed helped end-users understand Gen AI’s immense possibilities for the larger public. But soon came the emergence of open-source models such as Meta’s Llama. These models are built on a shared architecture, reveal the underlying codebases, and are pretty much transparent about the data being trained. So which way Enterprises would sway when it comes to embracing these foundation models? Open-sourced or licensed - which would really benefit enterprises in the long run. Various aspects related to performance, accuracy, ethics, explainability, and IP protection would enable stakeholders to decide whether to go with closed or open-sourced models. LLM or LMs Large language models (LLMs) are known for their high performance, comprehensive understanding, and versatility. However, they are lavish energy spenders, which means only the largest companies have the funds to train and maintain energy-hungry models with billions of parameters. Could it be that these enterprises are better off adopting smaller language models that are comparatively energy-efficient,  cost-effective, and even privacy-friendly? Among these smaller models, domain-specific LM is fast getting traction because of the obvious advantages - you can run your small model on modest hardware yet build powerful customized models trained on proprietary data. Industries such as healthcare, legal, and finance could immensely benefit from these domain-specific smaller language models. Explainable AI or Black Box AI Have you ever asked ChatGPT as to how it arrived at a decision? While the outputs of ChatGPT can be evaluated for their relevance and accuracy, the inner workings of how specific responses were generated were never transparent. This could be a challenge for enterprises when they work with LLMs as these models given their vast architecture with several layers of neurons, make it hard to trace the decision path. For any input, the model may not be able to tell how it arrived at a particular output.  This is what we call a Black Box AI. Again on this front, smaller language models (SLMs) are better poised to allow human users to comprehend and trust the results created by their algorithms. This explain ability provided by smaller language models can help developers ensure that the system is working as expected. SLMs may go even further to help enterprises meet regulatory standards. Don’t overlook the Enterprise layer The enterprise layer is crucial to building successful Gen AI applications. Remember one can’t take the-box foundation models such as Open AI’s GPT or Anthopic’s Claude, and instantly create Gen AI applications for their enterprise. They have to manually build an enterprise orchestration layer that enables the infusion of Gen AI into their normal applications. Would organizations invest considerable resources into building this layer? This is where Enterprises must work with effective partners to create a customized business layer that truly connects enterprise applications with Gen AI models. ROI dilemma Enterprise leaders emphasize that Gen AI offerings must demonstrate a clear business value proposition. But for a technology that is in its nascent stages, yet with tremendous transformative potential - how can enterprises measure value? Should organizations overlook ROI in the initial stages and instead focus on how Gen AI infuses innovation and helps them in strategic positioning and differentiation? Or should enterprises be shrewd enough to prioritize investing in areas that can bring easy wins, and gradually get into complex projects? Garbage in Garbage out The adage cannot be truer in the age of generative AI where the reliability of Gen AI output majorly depends on the quality of data being sent as input. How can organizations ensure the highest data quality standards when training Gen AI models? How seamless/difficult would it be for organizations to ensure that their custom AI abides and operates based on their internal data? This situation is further compounded when we realize that on average, organizations only capture 56% of the data they create. Even more alluding is that about 77% of the data collected is either obsolete or trivial. So, Organizations, if at all, if they wish for seamless large-scale Gen AI deployments, must thoroughly capture, classify, and clean data before feeding into their AI systems. Trust issues On one side, enterprises are concerned about the accuracy of Gen AI outputs. On the other side, employees have an inherent fear of technology potentially replacing them or making their jobs obsolete. Together, this cumulative mistrust could pose a barrier to Gen AI enterprise adoption. But fortunately, these concerns have not stopped organizations from embracing Gen AI in their Pilots or small-scale experiments. But if these pilots are to be scaled, then organizations have to build trust in numerous dimensions across worker empathy, transparency, input/output quality, etc. Sophisticated Virtual Agents Can Chatbots go all the way to completing the task apart from making sensible conversations? The ChatGPTs and Geminis have shown us how their question-and-answer systems can give rich contextualized answers. But can the chatbot help us complete a task altogether? For example, can it make reservations for us? Can it plan a trip or even book a ticket? The dawn of sophisticated virtual agents is not far and that would transform customer experience in ways never seen before. Ambiguous regulations The ambiguity in the regulatory environment continues to prevail. However, the EU has taken a more conservative approach to AI-generated content. In Dec 2023, a provisional agreement on the Artificial Intelligence Act was reached, prohibiting indiscriminate scraping of images to create facial recognition databases, biometric categorization systems (with potential for discriminatory bias), "social scoring" systems, and the use of AI for social or economic manipulation. Because of the impending election, there is still time for America to decide on AI governance and security, but that could only do little to stop the stellar developments continuing to happen in the country. Yet organizations cannot afford to be complacent when it comes to implementing guardrails for trust and security. Shadow AI Shadow AI typically arises when a seemingly enthusiastic employee, in the desire to learn or complete an action through an AI application, feeds sensitive information to a public-facing model and thus exposes business secrets. In another case, the employee could train the model with copyrighted material, potentially exposing the company to legal consequences. Conclusion In conclusion, the potential benefits of Gen AI are immense, but realizing them requires a delicate balance of technological innovation, ethical considerations, and strategic foresight. As the technology matures, organizations must navigate these challenges proactively to harness Gen AI's power while mitigating risks. The road ahead is undoubtedly complex, but with careful planning and execution, enterprises can position themselves at the forefront of this transformative era. The hype for Gen AI has settled as organizations have begun to lay the groundwork for seamless adoption. But there are decisions that must be made, dilemmas to be solved, and questions to be answered. We list the top 10 Enterprise Gen AI dilemmas facing the C-suite leaders. Open or Closed Gen AI models Open or Closed Gen AI models The world came to know about Gen AI only through licensed models such as Open AI’s GPT or Google’s Bard. These systems shared very little details about the underlying code or how their systems were trained. But the Geminis and ChatGPTs indeed helped end-users understand Gen AI’s immense possibilities for the larger public. But soon came the emergence of open-source models such as Meta’s Llama. These models are built on a shared architecture, reveal the underlying codebases, and are pretty much transparent about the data being trained. So which way Enterprises would sway when it comes to embracing these foundation models? Open-sourced or licensed - which would really benefit enterprises in the long run. Various aspects related to performance, accuracy, ethics, explainability, and IP protection would enable stakeholders to decide whether to go with closed or open-sourced models. LLM or LMs LLM or LMs Large language models (LLMs) are known for their high performance, comprehensive understanding, and versatility. However, they are lavish energy spenders, which means only the largest companies have the funds to train and maintain energy-hungry models with billions of parameters. Could it be that these enterprises are better off adopting smaller language models that are comparatively energy-efficient,  cost-effective, and even privacy-friendly? Among these smaller models, domain-specific LM is fast getting traction because of the obvious advantages - you can run your small model on modest hardware yet build powerful customized models trained on proprietary data. Industries such as healthcare, legal, and finance could immensely benefit from these domain-specific smaller language models. Explainable AI or Black Box AI Explainable AI or Black Box AI Have you ever asked ChatGPT as to how it arrived at a decision? While the outputs of ChatGPT can be evaluated for their relevance and accuracy, the inner workings of how specific responses were generated were never transparent. This could be a challenge for enterprises when they work with LLMs as these models given their vast architecture with several layers of neurons, make it hard to trace the decision path. For any input, the model may not be able to tell how it arrived at a particular output.  This is what we call a Black Box AI. Again on this front, smaller language models (SLMs) are better poised to allow human users to comprehend and trust the results created by their algorithms. This explain ability provided by smaller language models can help developers ensure that the system is working as expected. SLMs may go even further to help enterprises meet regulatory standards. Don’t overlook the Enterprise layer Don’t overlook the Enterprise layer The enterprise layer is crucial to building successful Gen AI applications. Remember one can’t take the-box foundation models such as Open AI’s GPT or Anthopic’s Claude, and instantly create Gen AI applications for their enterprise. They have to manually build an enterprise orchestration layer that enables the infusion of Gen AI into their normal applications. Would organizations invest considerable resources into building this layer? This is where Enterprises must work with effective partners to create a customized business layer that truly connects enterprise applications with Gen AI models. ROI dilemma ROI dilemma Enterprise leaders emphasize that Gen AI offerings must demonstrate a clear business value proposition. But for a technology that is in its nascent stages, yet with tremendous transformative potential - how can enterprises measure value? Should organizations overlook ROI in the initial stages and instead focus on how Gen AI infuses innovation and helps them in strategic positioning and differentiation? Or should enterprises be shrewd enough to prioritize investing in areas that can bring easy wins, and gradually get into complex projects? Garbage in Garbage out Garbage in Garbage out The adage cannot be truer in the age of generative AI where the reliability of Gen AI output majorly depends on the quality of data being sent as input. How can organizations ensure the highest data quality standards when training Gen AI models? How seamless/difficult would it be for organizations to ensure that their custom AI abides and operates based on their internal data? generative AI This situation is further compounded when we realize that on average, organizations only capture 56% of the data they create. Even more alluding is that about 77% of the data collected is either obsolete or trivial. So, Organizations, if at all, if they wish for seamless large-scale Gen AI deployments, must thoroughly capture, classify, and clean data before feeding into their AI systems. Trust issues Trust issues On one side, enterprises are concerned about the accuracy of Gen AI outputs. On the other side, employees have an inherent fear of technology potentially replacing them or making their jobs obsolete. Together, this cumulative mistrust could pose a barrier to Gen AI enterprise adoption. But fortunately, these concerns have not stopped organizations from embracing Gen AI in their Pilots or small-scale experiments. But if these pilots are to be scaled, then organizations have to build trust in numerous dimensions across worker empathy, transparency, input/output quality, etc. Sophisticated Virtual Agents Sophisticated Virtual Agents Can Chatbots go all the way to completing the task apart from making sensible conversations? The ChatGPTs and Geminis have shown us how their question-and-answer systems can give rich contextualized answers. But can the chatbot help us complete a task altogether? For example, can it make reservations for us? Can it plan a trip or even book a ticket? The dawn of sophisticated virtual agents is not far and that would transform customer experience in ways never seen before. Ambiguous regulations Ambiguous regulations The ambiguity in the regulatory environment continues to prevail. However, the EU has taken a more conservative approach to AI-generated content. In Dec 2023, a provisional agreement on the Artificial Intelligence Act was reached, prohibiting indiscriminate scraping of images to create facial recognition databases, biometric categorization systems (with potential for discriminatory bias), "social scoring" systems, and the use of AI for social or economic manipulation. Because of the impending election, there is still time for America to decide on AI governance and security, but that could only do little to stop the stellar developments continuing to happen in the country. Yet organizations cannot afford to be complacent when it comes to implementing guardrails for trust and security. Shadow AI Shadow AI Shadow AI typically arises when a seemingly enthusiastic employee, in the desire to learn or complete an action through an AI application, feeds sensitive information to a public-facing model and thus exposes business secrets. In another case, the employee could train the model with copyrighted material, potentially exposing the company to legal consequences. Conclusion In conclusion, the potential benefits of Gen AI are immense, but realizing them requires a delicate balance of technological innovation, ethical considerations, and strategic foresight. As the technology matures, organizations must navigate these challenges proactively to harness Gen AI's power while mitigating risks. The road ahead is undoubtedly complex, but with careful planning and execution, enterprises can position themselves at the forefront of this transformative era.

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It's been a while since my last appearance, but I'm excited to be back and to share something truly special with you. In this article, we'll explore my top 10 Google Sheets features that are guaranteed to boost your productivity, speed up your workflow, and make your data handling more efficient. So, without further ado, let's dive into these game-changing tools! https://youtu.be/iHAvhGO0Df0?si=j6ePVf_Y5814jupV&embedable=true Autofill One of the simplest yet most effective features in Google Sheets is Autofill. Imagine you need to input numbers from 1 to 100—instead of typing each one, simply start the sequence, grab the blue dot at the corner of the cell, and drag down. Google Sheets will fill the rest for you. This works not just with numbers, but with days of the week and months of the year too, saving you a significant amount of time. Removing Whitespace and Duplicates When working with large datasets, cleaning up data is crucial. Google Sheets makes this easy with tools to eliminate unwanted whitespace and duplicates. Just select your range, use the "Trim whitespace" option under Data Cleanup, and voilà—clean, tidy cells. Similarly, the "Remove duplicates" feature ensures that only unique values remain, streamlining your data for better analysis. Alternating Colors Enhancing readability can significantly improve the way you interact with your data. The "Alternating colors" feature applies different colors to alternating rows, making your spreadsheet easier to read and reducing errors when reviewing large blocks of data. Embedding Sheets in Web Pages For those who wish to integrate Google Sheets with their websites, the ability to embed sheets is invaluable. Simply choose to embed your document, copy the provided HTML code, and paste it into your website. This allows you to display live, interactive data directly on your web pages. Data Validation for Dates Data integrity can be maintained by restricting input to certain types of data. For example, you can set a cell to only accept dates. This is done through data validation, where you select "Date" as the criteria, and Google Sheets will provide a handy date picker to ensure accuracy. Importing HTML Need to pull data from a webpage into your spreadsheet? The "ImportHTML" function is your friend. Just write the formula, specify the URL, and choose the table you wish to import. This feature not only saves time but also ensures you can quickly update your spreadsheet with the latest web data. Extracting Unique Values To identify unique entries from a range, the "Unique" function is perfect. It extracts distinct values from your selected range, allowing you to see just the unique information without any repeats. Quick Sheet Creation If you need to create a new spreadsheet quickly, just type "sheets.new" in your Chrome address bar. This shortcut instantly opens a new Google Sheet, helping you get to work right away without navigating through menus. Import Range Sometimes, you might need to share data from a spreadsheet without giving access to the entire file. "Import Range" allows you to import specific ranges from one Google Sheet to another, keeping the data synchronized without manual intervention. Google Translate in Sheets Google Sheets can even translate text directly within cells using the "Google Translate" function. Simply specify the cell, the source language, and the target language, and the translation updates in real-time. Bonus Tip Column Stats For data analysts, the "Column Stats" add-on provides quick statistical insights into data columns without needing to apply complex formulas. This tool is excellent for a high-level overview of data characteristics. Inserting Images in Cells A lesser-known but handy feature is the ability to insert images directly into cells. This functionality allows for a more organized display of visual data, which can be particularly useful for inventory lists, directories, and catalogs. I hope you find these tips helpful for making the most out of Google Sheets. If you enjoyed this article, please consider liking and sharing it. Your feedback is always welcome, so feel free to drop a comment below. Don't forget to subscribe for more useful content, and I look forward to seeing you in future articles! Thank you for your support and happy sheeting! It's been a while since my last appearance, but I'm excited to be back and to share something truly special with you. In this article, we'll explore my top 10 Google Sheets features that are guaranteed to boost your productivity, speed up your workflow, and make your data handling more efficient. So, without further ado, let's dive into these game-changing tools! https://youtu.be/iHAvhGO0Df0?si=j6ePVf_Y5814jupV&embedable=true https://youtu.be/iHAvhGO0Df0?si=j6ePVf_Y5814jupV&embedable=true Autofill One of the simplest yet most effective features in Google Sheets is Autofill. Imagine you need to input numbers from 1 to 100—instead of typing each one, simply start the sequence, grab the blue dot at the corner of the cell, and drag down. Google Sheets will fill the rest for you. This works not just with numbers, but with days of the week and months of the year too, saving you a significant amount of time. Removing Whitespace and Duplicates When working with large datasets, cleaning up data is crucial. Google Sheets makes this easy with tools to eliminate unwanted whitespace and duplicates. Just select your range, use the "Trim whitespace" option under Data Cleanup, and voilà—clean, tidy cells. Similarly, the "Remove duplicates" feature ensures that only unique values remain, streamlining your data for better analysis. Alternating Colors Enhancing readability can significantly improve the way you interact with your data. The "Alternating colors" feature applies different colors to alternating rows, making your spreadsheet easier to read and reducing errors when reviewing large blocks of data. Embedding Sheets in Web Pages For those who wish to integrate Google Sheets with their websites, the ability to embed sheets is invaluable. Simply choose to embed your document, copy the provided HTML code, and paste it into your website. This allows you to display live, interactive data directly on your web pages. Data Validation for Dates Data integrity can be maintained by restricting input to certain types of data. For example, you can set a cell to only accept dates. This is done through data validation, where you select "Date" as the criteria, and Google Sheets will provide a handy date picker to ensure accuracy. Importing HTML Need to pull data from a webpage into your spreadsheet? The "ImportHTML" function is your friend. Just write the formula, specify the URL, and choose the table you wish to import. This feature not only saves time but also ensures you can quickly update your spreadsheet with the latest web data. Extracting Unique Values To identify unique entries from a range, the "Unique" function is perfect. It extracts distinct values from your selected range, allowing you to see just the unique information without any repeats. Quick Sheet Creation If you need to create a new spreadsheet quickly, just type "sheets.new" in your Chrome address bar. This shortcut instantly opens a new Google Sheet, helping you get to work right away without navigating through menus. Import Range Sometimes, you might need to share data from a spreadsheet without giving access to the entire file. "Import Range" allows you to import specific ranges from one Google Sheet to another, keeping the data synchronized without manual intervention. Google Translate in Sheets Google Sheets can even translate text directly within cells using the "Google Translate" function. Simply specify the cell, the source language, and the target language, and the translation updates in real-time. Bonus Tip Column Stats For data analysts, the "Column Stats" add-on provides quick statistical insights into data columns without needing to apply complex formulas. This tool is excellent for a high-level overview of data characteristics. Inserting Images in Cells A lesser-known but handy feature is the ability to insert images directly into cells. This functionality allows for a more organized display of visual data, which can be particularly useful for inventory lists, directories, and catalogs. I hope you find these tips helpful for making the most out of Google Sheets. If you enjoyed this article, please consider liking and sharing it. Your feedback is always welcome, so feel free to drop a comment below. Don't forget to subscribe for more useful content, and I look forward to seeing you in future articles! Thank you for your support and happy sheeting!

Top 10 Favorite Google Sheets Features for Everyday Work

After an April full of exciting game releases like The Crew Motorfest, Stellar Blade, and No Rest for the Wicked, May isn’t staying even a bit behind. In this story, we are going to check out the 10 best games to be released this month. Personally, I can’t wait to play them, and you shouldn’t miss out too. Endless Ocean Luminous - May 2 https://www.youtube.com/watch?v=tKXjoA_Gai4&embedable=true Release Date: May 2
Platforms: Switch
Publisher: Arika Following the steps of his predecessors, Endless Ocean Luminous puts you in control of a scuba diver to explore the fictional Velled Sea, with over 500 species for you to discover. Team up with folks all over the world, because now, the matches allow groups of up to 30 people to explore sunk temples and shipwrecks. Crow Country - May 9 https://www.youtube.com/watch?v=iy1cICMVSTk&embedable=true Release Date: May 9
Platforms: PC, PS5
Studio: SFB Games With a retro style, Cow Country tries to bring to life the golden era of horror games; using a tank camera, its art style and mechanics resemble a lot of the classic Resident Evil games in all its glory. In this game, you’re gonna explore an abandoned park to understand why Edward has closed it while solving many puzzles and mysteries. A demo for Crow Country is available here. Little Kitty, Big City - May 9 https://www.youtube.com/watch?v=LWUdu2q88K4&embedable=true Release Date: May 9
Platforms: PC, Switch, Xbox One, Xbox Series X/S
Studio: Double Dagger Studio With a cutesy art style, Little Kitty, Big City lets you take control of a cat who is trying to go back home; you can mainly focus on finding your way back, or explore as a true cat would. Climb on people’s furniture, break their glasses, steal their objects, find collectibles, and interact with other animals before going home. Homeworld 3 - May 13 https://www.youtube.com/watch?v=oVCUI70kF7o&embedable=true Release Date: May 13
Platforms: PC
Studio: Blackbird Interactive Homeworld 3 is a galactic real-time strategy game where you can play solo, PvP, and Coop. It continues the award-winning story of Homeworld 2, with massive battles among the stars and nebulas. Now, the game also includes a coop mode for up to 3 players, in a battle on the molds of roguelike. Team up with your friends in random fleet battles while obtaining artifacts to improve your ships. The Rogue Prince of Persia - May 14 https://www.youtube.com/watch?v=XZzOxEK7hXo&embedable=true Release Date: May 14
Platforms: PC
Studio: Evil Empire The Rogue Prince of Persia is a new take on the franchise. This time, in the hands of Evil Empire, the creators of Dead Cells, this new entry will get a different art style from its predecessor and will have a roguelike gameplay, which the team at Evil Empire are professionals doing. The game will also feature a procedurally generated map, set place around the city of Ctesiphon. You will battle the Hun army that was sent to destroy the city, and it is your job to prevent it. Ghost of Tsushima: Directors Cut - May 16 https://www.youtube.com/watch?v=EzWBNwhb870&embedable=true Release Date: May 16
Platforms: PC
Studio: Sucker Punch Productions The once-Playstation exclusive is making its way to PC this month. This version includes everything from the original version and some extra functionalities due to the power of the PC. Enjoy the Tsushima island with unlocked FPS and multiple graphic customizations, support to super ultra-wide monitors, increase the performance using the functionalities of your GPU, like DLSS, FSR, and XeSS, and enjoy high-quality sync with Japanese, due to real-time cutscene rendering. Senua’s Saga: Hellblade 2 - May 21 https://www.youtube.com/watch?v=3VYGOkMnGCE&embedable=true Release Date: May 21
Platforms: PC, Xbox Series X/S
Studio: Ninja Theory In the sequel Hellblade: Senua’s Sacrifice, we follow again the story of Senua while she battles for survival on the Viking Island. There, you will fight to save the victims of the tyranny while dealing with her own darkness. System Shock: Remake - May 21 https://www.youtube.com/watch?v=mNDdQ6_pYgk&embedable=true Release Date: May 21
Platforms: PS4, PS5, Xbox One, Xbox Series X/S
Studio: Nightdive Studio The complete remake of the 1994 cult System Shock that was released for PC in 2023 is now making its way to consoles. In this game, you live in Cidadela Station, but everything gets out of hand when the most advanced AI takes control of everything, turning its people into cyborgs and mutants looking for blood. Fight for survival and destroy SHODAN before it destroys you. Paper Mario: The Thousand-Year Door - May 23 https://www.youtube.com/watch?v=gCV-uTRULn8&embedable=true Release Date: May 23
Platforms: Switch
Studio: Intelligent Systems Initially released for the GameCube in 2004, Super Paper Mario The Thousand-Year Door is an RPG praised by critics and won the RPG of the Year award in 2005. In this entry, you will take the role of Mario, while he tries to save Princess Peach from the hands of Grodus, collecting all the Crystal Stars and making new friends along the way. F1 24 - May 31 https://www.youtube.com/watch?v=NnyCWsA6KSI&embedable=true Release Date: May 31
Platforms: PC, PS4, PS5, Xbox One and Xbox Series X/S
Studio: Codemasters That is the newest entry in the F1 yearly franchise; it includes more refined graphics, a revamped campaign, a new physics system that impacts the performance of your car, crossplay, and a VR mode. Those were the games I’m keeping an eye on this month; let me know what games you are interested in this month or if I missed an important game in the comments below. After an April full of exciting game releases like The Crew Motorfest, Stellar Blade, and No Rest for the Wicked, May isn’t staying even a bit behind. In this story, we are going to check out the 10 best games to be released this month. Personally, I can’t wait to play them, and you shouldn’t miss out too. Endless Ocean Luminous - May 2 https://www.youtube.com/watch?v=tKXjoA_Gai4&embedable=true https://www.youtube.com/watch?v=tKXjoA_Gai4&embedable=true Release Date: May 2 Platforms: Switch Publisher: Arika Release Date: May 2 Release Date: Platforms: Switch Platforms: Publisher: Arika Publisher: Following the steps of his predecessors, Endless Ocean Luminous puts you in control of a scuba diver to explore the fictional Velled Sea, with over 500 species for you to discover. Team up with folks all over the world, because now, the matches allow groups of up to 30 people to explore sunk temples and shipwrecks. Crow Country - May 9 https://www.youtube.com/watch?v=iy1cICMVSTk&embedable=true https://www.youtube.com/watch?v=iy1cICMVSTk&embedable=true Release Date: May 9 Platforms: PC, PS5 Studio: SFB Games Release Date: May 9 Release Date: Platforms: PC, PS5 Platforms: Studio: SFB Games Studio: With a retro style, Cow Country tries to bring to life the golden era of horror games; using a tank camera, its art style and mechanics resemble a lot of the classic Resident Evil games in all its glory. In this game, you’re gonna explore an abandoned park to understand why Edward has closed it while solving many puzzles and mysteries. A demo for Crow Country is available here . here Little Kitty, Big City - May 9 https://www.youtube.com/watch?v=LWUdu2q88K4&embedable=true https://www.youtube.com/watch?v=LWUdu2q88K4&embedable=true Release Date: May 9 Platforms: PC, Switch, Xbox One, Xbox Series X/S Studio: Double Dagger Studio Release Date: May 9 Release Date: Platforms: PC, Switch, Xbox One, Xbox Series X/S Platforms: Studio: Double Dagger Studio Studio: With a cutesy art style, Little Kitty, Big City lets you take control of a cat who is trying to go back home; you can mainly focus on finding your way back, or explore as a true cat would. Climb on people’s furniture, break their glasses, steal their objects, find collectibles, and interact with other animals before going home. Homeworld 3 - May 13 https://www.youtube.com/watch?v=oVCUI70kF7o&embedable=true https://www.youtube.com/watch?v=oVCUI70kF7o&embedable=true Release Date: May 13 Platforms: PC Studio: Blackbird Interactive Release Date: May 13 Release Date: Platforms: PC Platforms: Studio: Blackbird Interactive Studio: Homeworld 3 is a galactic real-time strategy game where you can play solo, PvP, and Coop. It continues the award-winning story of Homeworld 2, with massive battles among the stars and nebulas. Now, the game also includes a coop mode for up to 3 players, in a battle on the molds of roguelike. Team up with your friends in random fleet battles while obtaining artifacts to improve your ships. The Rogue Prince of Persia - May 14 https://www.youtube.com/watch?v=XZzOxEK7hXo&embedable=true https://www.youtube.com/watch?v=XZzOxEK7hXo&embedable=true Release Date: May 14 Platforms: PC Studio: Evil Empire Release Date: May 14 Release Date: Platforms: PC Platforms: Studio: Evil Empire Studio: The Rogue Prince of Persia is a new take on the franchise. This time, in the hands of Evil Empire, the creators of Dead Cells, this new entry will get a different art style from its predecessor and will have a roguelike gameplay, which the team at Evil Empire are professionals doing. The game will also feature a procedurally generated map, set place around the city of Ctesiphon. You will battle the Hun army that was sent to destroy the city, and it is your job to prevent it. Ghost of Tsushima: Directors Cut - May 16 https://www.youtube.com/watch?v=EzWBNwhb870&embedable=true https://www.youtube.com/watch?v=EzWBNwhb870&embedable=true Release Date: May 16 Platforms: PC Studio: Sucker Punch Productions Release Date: May 16 Release Date: Platforms: PC Platforms: Studio: Sucker Punch Productions Studio: The once-Playstation exclusive is making its way to PC this month. This version includes everything from the original version and some extra functionalities due to the power of the PC. Enjoy the Tsushima island with unlocked FPS and multiple graphic customizations, support to super ultra-wide monitors, increase the performance using the functionalities of your GPU, like DLSS, FSR, and XeSS, and enjoy high-quality sync with Japanese, due to real-time cutscene rendering. Senua’s Saga: Hellblade 2 - May 21 https://www.youtube.com/watch?v=3VYGOkMnGCE&embedable=true https://www.youtube.com/watch?v=3VYGOkMnGCE&embedable=true Release Date: May 21 Platforms: PC, Xbox Series X/S Studio: Ninja Theory Release Date: May 21 Release Date: Platforms: PC, Xbox Series X/S Platforms: Studio: Ninja Theory Studio: In the sequel Hellblade: Senua’s Sacrifice, we follow again the story of Senua while she battles for survival on the Viking Island. There, you will fight to save the victims of the tyranny while dealing with her own darkness. System Shock: Remake - May 21 https://www.youtube.com/watch?v=mNDdQ6_pYgk&embedable=true https://www.youtube.com/watch?v=mNDdQ6_pYgk&embedable=true Release Date: May 21 Platforms: PS4, PS5, Xbox One, Xbox Series X/S Studio: Nightdive Studio Release Date: May 21 Release Date: Platforms: PS4, PS5, Xbox One, Xbox Series X/S Platforms: Studio: Nightdive Studio Studio: The complete remake of the 1994 cult System Shock that was released for PC in 2023 is now making its way to consoles. In this game, you live in Cidadela Station, but everything gets out of hand when the most advanced AI takes control of everything, turning its people into cyborgs and mutants looking for blood. Fight for survival and destroy SHODAN before it destroys you. Paper Mario: The Thousand-Year Door - May 23 https://www.youtube.com/watch?v=gCV-uTRULn8&embedable=true https://www.youtube.com/watch?v=gCV-uTRULn8&embedable=true Release Date: May 23 Platforms: Switch Studio: Intelligent Systems Release Date: May 23 Release Date: Platforms: Switch Platforms: Studio: Intelligent Systems Studio: Initially released for the GameCube in 2004, Super Paper Mario The Thousand-Year Door is an RPG praised by critics and won the RPG of the Year award in 2005. In this entry, you will take the role of Mario, while he tries to save Princess Peach from the hands of Grodus, collecting all the Crystal Stars and making new friends along the way. F1 24 - May 31 https://www.youtube.com/watch?v=NnyCWsA6KSI&embedable=true https://www.youtube.com/watch?v=NnyCWsA6KSI&embedable=true Release Date: May 31 Platforms: PC, PS4, PS5, Xbox One and Xbox Series X/S Studio: Codemasters Release Date: May 31 Release Date: Platforms: PC, PS4, PS5, Xbox One and Xbox Series X/S Platforms: Studio: Codemasters Studio: That is the newest entry in the F1 yearly franchise; it includes more refined graphics, a revamped campaign, a new physics system that impacts the performance of your car, crossplay, and a VR mode. Those were the games I’m keeping an eye on this month; let me know what games you are interested in this month or if I missed an important game in the comments below.

May 2024's Must-Play List: The Top 10 Game Releases You Can't Miss

Top 10 Websites to Learn SQL and Database Online

Hello friends, if you have attended technical interviews then may know that the part is one of the toughest to crack. I’ve asked myself why this happens and I found that most developers are not familiar with essential System design topics or concepts. Earlier I shared which are also great for system design interviews. Today I’ll discuss key topics you must know to be prepared for system design interviews. System Design software architecture books As I have said before, System design interviews are a crucial part of the hiring process for software engineers and developers and you must prepare for it, leaving it to chance is not a good idea. These interviews assess your ability to design scalable and efficient systems to solve real-world problems. To excel in system design interviews, it's essential to have a strong grasp of the fundamental concepts and principles. This is the first part of the series and in this part, we will see the top 5 system interview topics. By the way, if you are and want to learn System Design in-depth then you can also refer to sites like , and , which have many great System design courses and tutorials. preparing for System design interviews ByteByteGo DesignGuru Here is a nice system design cheat sheet from DesignGuru for quick revision: 5 Essential System Design Topics for Interviews To stand out from the competition in system design interviews, it's crucial to have a solid understanding of key concepts that set you apart from other candidates. By mastering these ten system design concepts, you can position yourself ahead of 99% of candidates and impress interviewers with your expertise. 1. Scalability Scalability is crucial in system design as it ensures a system can handle increasing loads and maintain performance. To design scalable architectures, you should understand concepts like horizontal and vertical scaling, load balancing, and distributed systems. Those will help you with tech interviews. 2. Availability and Fault Tolerance Designing fault-tolerant systems is essential to maintain availability even in the face of failures. As a candidate, you should learn about replication, redundancy, failover mechanisms, and fault tolerance techniques like backups, checkpoints, and error handling. For high availability many companies create active-active or active-passive architecture as shown below, The best example is companies like AWS and Azure which have data centers in different parts of the world, and if one goes down then server clients from others. cloud computing 3. Data Storage and Databases Different applications require different types of data storage. You should familiarize yourself with different types of databases like relational databases, NoSQL databases, key-value stores, and columnar databases. You should understand their strengths, weaknesses, and use cases. One of the common questions and concepts to understand here is SQL vs NoSQL as they often come during different questions, here is a nice diagram that highlights the difference between SQL and NoSQL 4. Caching Caching helps improve performance by storing frequently accessed data closer to the users. In this topic, you should learn about caching techniques, caching strategies, cache eviction policies, and cache coherence to design efficient caching systems. You should also get yourself familiar with things like cache hit and cache miss and here is a nice diagram for quick reference: 5. Message Queues and Event-driven Architecture Message queues enable asynchronous communication between different components of a system. While preparing for this topic you should understand concepts like pub-sub (publish-subscribe) patterns, message brokers, event-driven architecture, and their applications in building scalable and loosely coupled systems. In the past, I wrote about Apache Kafka vs ActiveMQ vs RabbitMQ which is a good starting point for learning about message brokers and queues. Here is a nice diagram showing Event Driven Architecture using the pub-sub model and point-to-point model : Conclusion That's all about Mastering these ten essential system design concepts will significantly enhance your performance in system design interviews. 5 System design topics you must prepare for tech interviews. By understanding scalability, fault tolerance, data storage, caching, message queues, microservices, security, performance optimization, design patterns, and trade-offs, you'll be well-prepared to tackle complex design problems and impress interviewers with your comprehensive knowledge. Remember, practice and hands-on experience in designing real-world systems are equally important, so apply these concepts in practical scenarios to solidify your understanding. Good luck with your interviews and your future endeavors as a skilled system designer! By the way, if you are and want to learn System Design in-depth then you can also check out sites like , , and , which have many great System design courses. preparing for System design interviews ByteByteGo DesignGuru Exponent In the next part, we will take a look at 5 more topics that are important for system design interviews. Stay tuned!

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