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As a known fact, the retail scene globally has been in a slump ever since the rise of e-commerce and digital devices. The pandemic-stricken year has pushed the sector further into the gloom, with experts predicting sales to be declining by at least 10% year-over-year in the Southeast Asia region. On top of that, businesses are grappling with the challenge of engaging increasingly distracted customers in the digital space. With the tighter squeeze, brands are also re-looking at innovative yet cost-effective ways to enhance customer service experience in order to build loyalty. Recognising these challenges that companies are facing, has launched an online hackathon, the iHack Alpha, to tackle the aforementioned problems through AI-enabled solutions. The hackathon, which concluded on January 5th, saw over . Developers could work either individually or form a team (with a maximum of four members) to work on any of the four stipulated themes: Retail, Customer Service, Media, and Accessibility. Sentient.io 1,000 participating developers In each of these themes, a problem statement is provided, and developers are free to identify opportunity areas they would like to explore and ideate upon. To illustrate, the problem statement given under the theme of retail is: How can you use AI to help retail evolve and stay relevant? With this, developers could, for instance, identify how more retailers are adopting the online-to-offline (O2O) strategy to drive foot traffic to physical stores. Developers can then propose and design tools that will help businesses overcome the digital blind spot in marketing when going from O2O. Contrary to the common “job-stealing” notion that has been assigned to AI advances, the many innovations that stem from this hackathon alone, have proven that . AI can serve as an enabler Among the eight shortlisted ideas to the prototype phase, is the GeoFencing project. The project aims to help market the small local businesses or mom-and-pop stores that are overshadowed by giant corporations and do not have an online presence. The solution is to develop extensions or mobile apps that will help consumers to locate products that they are keen on purchasing, nearby. The idea is to help people get to know the shops in their vicinity. This provides the smaller businesses the opportunity to be considered as an alternative, without having to spend exorbitant dollars on advertising. To set the idea in motion, the team had employed various microservices from Sentient.io, including the Object Detection Microservice, Web Scraping API, as well as the Base 64 Encoding and Decoding Service. Empowering the Disabled at the Heart of iHackAlpha With a large proportion of the submissions targeting the accessibility theme, the single socially related theme is seen to have gained the most traction among contestants. An 80% unemployment rate in Southeast Asia for persons of disabilities is indeed a note of concern. Many teams of developers have expressed with full conviction in their presentation that this societal group has just as much to contribute as the general population if they were provided with proper assistive technologies. “Even with valuable skills and experiences, visually impaired people often find great difficulty in securing employment. After so many technological advancements in the last few decades, we still fail miserably at disability inclusion in the workplace. One of the main reasons for this lies in the fact that organizations fail to deploy assistive technologies for the visually impaired at the workplace. The most sustainable way to include the visually impaired population in the workforce is by considering it as a value-add transaction instead of going from a social responsibility perspective. Considering disability inclusion as a value-add transaction means that we want to bring in a disabled person into the workforce not because it is a social responsibility but because they have the necessary skills and resources to bring value to the organization. Therefore, in order to solve this problem of blind inclusion in the workplace, we must focus on making assistive technologies more accessible to this population,” said one of the finalists. The group then went on to propose a smart glass, which they named , to help visually impaired persons perform more productively at the workplace. iGlass “In this device, we attempt to integrate features from different assistive technologies like screen readers, canes, etc into a single device using recent technological advancements in artificial intelligence and embedded systems. The visual data from the surrounding is captured using a camera mounted on the smart glass. This visual data is then fed into a pipeline running on Raspberry Pi to generate auditory data using different sentient.io microservices and AI models,” the group explained. In other words, the necessary information captured through features such as image captioning, face recognition, emotion recognition, optical character recognition is then conveyed to the person seamlessly in audio format, through the bone transducer. It simulates the voices in one’s head that relay information regarding the immediate surrounding. “I was impressed with iGlass, though Google Glass had attempted this and failed, at least for now.  It was amazing how much the team accomplished in a short period of time,” said one of the six judges, . Ms. Christy Davies, Executive Director of Lien Centre at Singapore Management University When asked what she was looking out for in the submissions, Ms. Davies said: “First and foremost, did the invention or solution meet the needs of their defined client?  I looked for a clear problem statement and a systematic thought process which then used data or AI as the tool and vehicle to tackle their problem. I was also curious to a clear motivation of why they chose the issue they did because a solution is often more effective when it is emotionally or very practically connected to the heart and passion of the entrepreneur or coder”. It was certainly heartening that despite it being a hackathon contest, many teams bore the common goal of empowering and improving lives through their innovative ideas and skillful application of AI technologies. Winning Concepts and Prototypes The project which clinched was titled the , a two-way chatting app for blind-deaf people to communicate with others. To send a message, the blind-deaf person can simply tap the screen, using either short tap (representing dots) or long taps (representing dashes). The Morse code written by them is then converted into English text for the other party to read. On the flipside, incoming messages from the other party are converted into vibrations of dot & dash for blind-deaf people to understand. first place Artificial Voice “The idea for the project is inspired by the Helen Keller story we studied in school days, where Anne Sullivan used to write on Helen Keller’s palm to communicate with her. So, we thought why can't we replace Annie with a mobile phone, which can communicate with the deaf-blind by sending a message with haptic feedback,” said Mr. Harsha Satya Vardhan, the team leader of project . Artificial Voice Taking into consideration that subjects could be together at the same place or communicating across different locations, the team behind the project has also included the ‘near’ and ‘far’ features. The ‘near’ feature can be activated when both parties are at the same place. When the person without a disability speaks, it is converted into vibrations via Morse code in real-time for the blind-deaf person to understand the message. The blind-deaf person will also be able to give a reply in real-time by tapping on the screen of the app. Using Sentient.io Text to Speech and Automatic Speech Recognition services, the Morse Code is converted to speech that is heard audibly by the other party. “I like the Artificial Voice submission because it is something which can really benefit a group of very marginalized people and bridge some of the communication gaps with others.” said one of the internal judges, Eddie Leong, VP Operations of Sentient.io The team behind was overjoyed when they were announced as the winner of iHack Alpha Challenge. Artificial Voice “Mahesh and I have been working very hard for three months on this project and had many iterations. We look forward to improving the current prototype and the lives of the visually impaired individuals through our project,” said Mr. Vardhan. The were awarded to project and respectively. The former is a website that allows people with hearing impairment to take voice notes during a meeting. Meanwhile, the latter is a mobile app that resembles a virtual mentor or friend for people with neurodevelopmental disorders, including Autism spectrum disorder and dyslexia. It works as a translator that translates pictorial representations to normal text and vice-versa to fill the communication gap in a virtual working environment. second and third places MeetDocs Buddy With regards to the concept behind Buddy, the team explained that people with neurodevelopmental disorder often face difficulty comprehending long paragraphs, along with the tone. The app can help users to identify a variety of tones present in a sentence, including the emotional aspects and language style. It also provides a visualisation of words, as well as some related content (Wikipedia article) for better understanding. The project is intended to provide these employees with greater ease of communication and in turn, efficiency at work. “The biggest challenge we face while working on our project is managing our time since we have limited time developing, planning, and testing the products. The other challenges we face were creating an impactful solution that addresses the problem and attempting to solve it to a more considerable extent. “But our desire to make people's lives better using technologies and the support of Sentient.io mentors helped in the successful completion of the product,” said Mr. Ashutosh Gupta, the team leader of project Buddy. Among the judges was , who expressed that he was looking out for solution level, business scalability, and profitability. He noted that the submissions contained unique ideas and concepts, which completely matches the frame of open innovation and intent of a hackathon as such. Mr. Etsushi Tsuru, Managing Director of Asahi Shimbun Asia Other criteria include, but are not limited to code quality, the technology used, the overall usability, and the user experience. About Sentient.io empowers developers and enterprises by enabling easy integration of AI capabilities into their solutions and software through the Sentient.io AI & Data platform. Sentient.io Our platform allows developers with no AI experience to easily find and use powerful pre-trained AI models as well as data sets through API calls, allowing you to rapidly and effortlessly add AI capabilities to projects. Also published at https://mark-at-sentientio.medium.com/ihack-alpha-by-sentient-io-unveils-ai-powered-solutions-for-business-social-challenges-2209d0ae3716

iHack Alpha Inspires AI-Powered Solutions to Address Social Challenges

The Results Are In - Public Testing of the Solutions for Privacy and Scalability in Ethereum

Let's learn about via these 44 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Bots /Learn Repo There's no such thing as bad bots. It's just people using bots to do bad things. 1. How Did We Bypass the Sweeper Bot and Saved $26K Tokens in the Dark Forest of Blockchain ? How did we bypass the sweeper bot and saved $26K tokens in the Dark Forest of Blockchain ? 2. Top Chatbot Trends That Will Dominate Businesses in 2023 Chatbots are a type of artificial intelligence that is programmed to simulate human communication. They are able to understand the context of a conversation and provide answers in a natural-sounding way. 3. Politics in Social Media: Bots, IDM and Decentralized Moderation The internet has become the agora of modern times. The question is not whether we are discussing politics over the internet or not (we obviously are) but if... 4. How to Create a Telegram Bot Using Ruby I was tasked with creating a telegram bot using ruby a while back. I had no idea where to start and just like any other programmer out there I turned to the internet for clues. I did not find a good article and hence experienced a lot of problems creating the bot. I have decided to write an article to explain how to create a telegram bot from scratch. 5. Artificial Intelligence: The Future Of Travel Industry Machines may not have taken over the world yet, but they are seeping into our lives and making it better. AI is changing every aspect of our lives. From self-driving cars to talking bots, there are so many examples of AI in use today. The technology is disrupting so many industries, and the travel industry isn’t exempt from this. Gone are the days when you had to count on a travel agent to plan your next vacation. You no longer need to engage yourself in that tiresome chain of conversations with your agent for your travel arrangements. AI now infiltrates every aspect of the travel industry. With the help of this technology, you can get personalized and intelligent travel solution tailored according to your needs. 6. Trading Bots What are Trading Bots in general? Are trading bots useful? 7. 4 Reasons Why Email Is Obsolete, and You Should Move On Chances are, your business’ primary mode of internal communication is email. And you’re using instant messaging (IM) apps for virtual meetups and updates from the team, thanks to the coronavirus. Don’t get me wrong, email is great and all for internal communication (if you lived in the 20th century that is). But did you know your email to your teammates gets lost in a sea of unimportant emails? And irrelevant emails account for about 62% of the total emails in an average inbox! 8. Top 17 Instagram Bots To Get More Followers It can be a real challenge getting your footing on Instagram. Over the last few years it’s become a highly competitive platform for marketers, brands, and influencers. 9. Creating Telegram Bots with n8n, a No-Code Platform I am a big fan of Telegram because of its great bot-ecosystem. I have been planning to make a bot for a while and have been looking for some nice workflow tools that can help me accomplish handling the back-end workflow of the bots visually. Recently, I started working with n8n, a fair-code licensed tool that helps you automate tasks, sync data between various sources and react to events all via a visual workflow editor. 10. An In-depth Guide to Depop Bots Here’s everything you need to know about depop bots. 11. Top 10 Questions Managers are asking in REAL Team Meetings to 🚀 productivity My team meeting is crucial. I get everyone in a room and get everything I need out of them — with the added bonus of the team getting in sync, right? Wrong. Turns out, managers are blind to how crucial that meeting is to others. Only 4–9% of problems are known to managers... gulp 12. Trading Bots vs Humans · Everything you need to know Over the past 10 years we've seen the rise and rise of trading bots and Quantitative Funds and we've seen the fall and fall of traditional Asset Managers and Hedge Funds. 13. How To Make A Chatbot From Scratch How To Make A Great Chatbot From Scratch Expert tips to create a highly functional chatbot. 14. 5 Chatbot Ideas Businesses Should Consider in 2019 If you are looking to add the most advanced chatbot to your website, you would have probably noticed that there are many things required to develop a chatbot. 15. How to Build a Bitcoin Telegram Bot I created a simple Telegram bot that could retrieve Bitcoin's Price to convince my friends that Telegram is far superior to Whatsapp. 16. Telegram Bots Have Helped Pave The Way for dApps 2020 is shaping up to be the year of dApps! New communities are forming around cryptocurrency and they are asking for just one thing: decentralization. All the services and platforms you are accessing online right now can be decentralized in one way or another. 17. How to Build Telegram Chats with a Crypto-trading Bot Perhaps a sign of the times: my most active Telegram chat is with a crypto-trading bot that constantly listens for opportunities to trade on my behalf. I used an open-source library to develop some strategies and configure the bot to execute them using my Binance account. The bot communicates all of its trades through Telegram and can reply to my requests to take action or share live updates. 18. Bot Strategies: Manipulating Democratic Discourse Two-thirds of Americans know what bots are, from a strictly negative perspective—and not without good reason. Malicious bot activity has evolved over time, from hackers using bots to infect millions of devices with malware to the more modern usage as spreaders of propaganda, fake news, and false social media accounts. 19. Build a WhatsApp Chatbot With Python, Flask, and Messagebird Tutorial, about building a chatbot using the Messagebird API for WhatsApp and the Flask framework for Python. 20. Let's Build a Telegram Bot in Rust. Part 1 Building telegram bot using Rust. 21. 7 AI-powered Chatbots If you’re a millennial, you’ll know SmarterChild, the first-ever instant messaging bot with natural language comprehension ability. It was developed in 2000 and demonstrated exceptional wit, which most of today’s bot cannot. SmarterChild used to chat with about 2,50,000 humans every day with funny, sad, and sarcastic emotions. Today, we’ve traveled a distance with technologies like AI, ML, NLP, etc. and bots like Xiaocle have passed Turing tests of 10 minutes (i.e. users couldn’t identify that they’re talking to a bot for about 10 minutes). 22. IEO and Trading Bots to Help You Win Each Battle Post by Tim Kozak, Head of Technology at Intellectsoft Blockchain Lab 23. 7 Reasons to Start Automating Business with Bots (Original: Unsplash) 24. Introduction to Chatbot Development Now-a- Days chatbots are playing an essential role in the day to day activities of humans {personals and organizations}. According to the survey done, 27% of the people are using the AI-powered chatbots such as Google Assistant, Amazon Alexa, Cortana, Apple Siri etc. for simple task or commands. 25. 5 Case Studies that Prove Bots Are Here to Help Businesses Scale It was about three years ago that Microsoft CEO, Satya Nadella, was quoted stating “Bots are the new apps,” during a 3-hour keynote to kick off the company’s Build conference. That statement has probably never been truer, especially since NLP bots Enterprise bots have appeared on the scene. 26. Wordpress Security Tutorial: How to Defend Against Bots With reCAPTCHA How To Increase Your Wordpress Security And Defend Your Applications From Automated Bots. Learn how to integrate reCAPTCHAs into Wordpress. 27. What Are The Different Types of  Malware? A walkthrough the different types of malware - from viruses to botnets, ransomware and phishing. Learn more and get protected! 28. Creating a Telegram Bot for my Friend's Business Last week my friend asked for help with coding a Telegram bot for the VIP 😏 customers of his herbs shop. 29. Saying No to Bots is Saying No to Automation Why You Should Start Using Bots Today 30. Spam Bots and Why They Matter in Elon Musk's Twitter Deal 31. Creating Sustainable Web3 Games: Existing Challenges and Potential Solutions Check the obstacles currently standing in the way of sustainability in Web3 gaming and the solutions that can drive the next wave of game development in GameFi 32. How To Convert PDFs Into AudioBooks It's about How To Convert PDFs Into AudioBooks With 2 Lines of Python Code. It'll make life easy for many lazy people . 33. 6 Popular Software Testing Trends Everyone Should Follow 34. Building Your Own Discord Bot With Python Is Easy Create your own Discord Server in just Four Lines of Code with Python 35. The 6 Best Platforms To Create Chatbots Without Additional Programming Today I want to share a small review of simple platforms for creating bots without any knowledge of programming languages 36. From Zero to 45k Users: How We Created a Chatbot To Track Airfares Everything started when my mate was going on a vacation to Spain. Every single day, he checked the airlines’ websites to find the cheapest ticket and manually monitored prices of a certain flight. All these attempts were tedious, humdrum, and time-consuming for him. 37. Crypto-Trading Bots: An Overview As the mainstream popularity of cryptocurrency trading grows, more and more people are looking for a way to casually get into it. Many realize the difficulties, as well as the risks of trading, thus trying to ease into the process without putting too much on the line right away. 38. CI/CD Isn't Just About Efficiency I’d like to talk about something we don’t bring up quite as often. Put simply, CI/CD makes us happy. 39. How to Add a Voice Assistant to your Mobile App? Don’t you think that a great many mobile apps would be a lot more convenient if they had voice control? And I don’t mean chatting with a banking bot. In most cases, voice navigation or a conversational form-filling is just enough. 40. Enterprise Chatbot: Do You Really Need It? This Will Help You Decide 41. Data Privacy In Social Media Matters and Here's Why In the past few years, privacy fears amongst social media users have augmented tremendously. Many users are reconsidering their interactions on social media and protecting their personal information due to the ever-increasing data infringement cases. 42. Journey to the Center of the Unseen World of Discord Bots If you've used Discord for any amount of time, I'm sure that you've come across at least a few Discord bots. Given MEE6 or Groovy, they all do the same thing and that's add functionality as well as a new way to interact with the platform. This is a fascinating idea as not many other platforms allow you to implement your own modifications. If you look at the Bots job postings on Discord's careers website, you'll see a big part of what they are trying to do with bots is “empower developers” and “give their dev community more ways to express their creativity and build exciting apps”. Let me be the first to tell you, this is exactly what they are doing. By giving people a way to interact with a piece of software that they use every day, it can inspire new and experience developers alike to share and develop their creativity. 43. Depop Bot - The Ultimate Guide (2020) Introduction 44. 20 Tips for Selling on Depop App: 2021 Edition Selling on Depop can be your full-time job and produce fairly good money if you take it seriously. Thank you for checking out the 44 most read stories about Bots on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

44 Stories To Learn About Bots

is a fully managed tool that offers a cloud-based solution for integrating data from various sources. It serves as a fully managed and serverless solution that enables ingesting, preparing, and transforming data at scale. Azure Data Factory (ADF) Extract-Transform-Load (ETL) data integration Its power lies in its user-friendly interface, cost-effectiveness, and code-free service. As the world is experiencing exponential growth of data, ADF stands out among other ETL tools due to its scalability and ability to accommodate businesses of all sizes. ADF allows users to build and orchestrate ETL/ELT pipelines without the need for extensive coding. The visual interface enables users to drag and drop components onto a canvas, simplifying the development process. Linked Services Linked services are crucial in ADF as they establish connections between ADF and various data sources, including cloud services and on-premises services. They act as a bridge, holding the connection strings necessary to establish communication between ADF and external systems for data ingestion, transformation, and loading. To illustrate this, imagine a production line in a factory. The linked services are like the suppliers who deliver the raw materials required for the manufacturing process. Similarly, in ADF, linked services are responsible for delivering the data from various sources to enable the data integration workflows. Though a Dataset in ADF can be associated with multiple linked services, it's common to have a one-to-one relationship between a Dataset and a Linked Service. linked services in Azure Data Factory facilitate seamless connectivity between ADF and diverse data sources, ensuring a smooth and efficient data integration process. Datasets Datasets in ADF serve as reference points or views of the actual data to be used in data integration activities. They provide the structure and metadata for the data within ADF. However, to populate a dataset with actual data, a connection to the corresponding data storage is required using a linked service. In terms of our factory analogy, datasets can be compared to the specifications of a product being manufactured. They define the structure and attributes of the data we want to process. Linked services, on the other hand, can be seen as the suppliers who provide the raw data or materials according to the specifications defined by the datasets. Activities Activities in ADF are operations or actions performed on data. They can include data transformations, data movement, data processing, or specific computations. Each activity represents a step in a data workflow that consumes datasets or accesses data directly from storage, performs a specific operation, and generates output data. Activities can include data transformations, data movement, data processing, or running specific computations on the data. Pipelines Activities are logically grouped into pipelines to organize and manage them. A pipeline in ADF represents an end-to-end data workflow, orchestrating the execution of activities in a defined sequence or parallelism. Just like a production line in a factory, a pipeline encompasses the flow of data from its source, through processing stages or transformations, to the final destination. They provide a logical structure to manage and monitor the execution of activities, ensuring the reliable and efficient execution of data workflows. Linked services can be compared to connection strings in SQL Server Integration Services (SSIS), as they serve a similar purpose of establishing connections to data sources. Packages in SSIS are equivalent to pipelines in ADF. Connection Manager in SSIS is like the linked service in ADF. Source and Destination in SSIS are the same in ADF, although the destination is sometimes referred to as "sink" in ADF. Control Flow tasks in SSIS are activities in ADF. Data Flow in SSIS has a similar component in ADF. In summary, ADF combines linked services, datasets, activities, and pipelines to create efficient and scalable data integration workflows. Linked services establish connectivity to data sources, datasets define the structure of data, activities perform operations on this data, and pipelines organize these activities into cohesive workflows. Together, these components of ADF ensure seamless and efficient data operations from start to finish. The lead image for this article was generated by HackerNoon's AI Image Generator via the prompt "data factory"

Azure Data Factory - Datasets and Linked Services

Azure provides four levels of management scope, which are designed to provide flexibility and control in managing resources: Think of management groups as containers that help you organize and manage things in Azure. They make it easier to control who can access what, set rules for how things should be done, and make sure everyone follows the same guidelines. When you create a management group, all the things inside it automatically follow the same rules. Management Groups: Management groups is like the school district. The school district oversees several schools (which in our case would be 'subscriptions'). It sets some rules and guidelines that all its schools have to follow. Example: An Azure subscription is like a big box where you can put different things, such as virtual machines, databases, and more. It helps you keep track of all these resources and manage how much they cost. Subscriptions are useful for organizing resources based on who is using them or what projects they're for. Subscriptions: Think of a subscription as an individual school. The school is a part of the school district (management group). It has its own resources like classrooms, labs, libraries (which would be 'resource groups' in Azure), and each of these contains things like books, computers, etc. (the 'resources'). The school follows the district's rules, but it can also set its own rules for its resources. Example: Imagine a resource group as a special folder that holds all the things you need for a particular project or solution in Azure. For example, if you're building a website, the resource group can contain the web server, the database, and other related resources. It helps you keep things organized and manage them as a group. You can also set specific rules for the entire resource group. Resource Groups: These can be thought of as specific areas within the school like classrooms or labs. For example, a computer lab would have computers, projectors, chairs, etc. (which would be 'resources' in Azure). All items in this lab are managed together, and rules can be set for this lab, like 'only students with computer science subjects can use this lab'. Example: Resources are like individual parts or tools that you can use to build something in Azure. They can be virtual machines (which are like computers in the cloud), storage spaces, databases, and more. Each resource can have its own specific rules and settings. Resources: resources are individual items, like a book in the library or a computer in the lab. Each of these items is a part of a resource group (like the lab or library). And we can set rules for these items as well, like 'this book can only be checked out for one week'. Example: So, these four levels of management scope in Azure provide a way for you to organize and control your resources. You can set rules and conditions at different levels, and those rules will apply to everything below them. For example, if you set a rule at the subscription level, it will apply to all the resource groups and resources within that subscription. It helps keep things organized and makes it easier to manage everything in Azure. Think of tags as those little sticky notes you use in your school books. Let's say you're studying for a test, and you use different color sticky notes for different subjects. Maybe you use green for science, yellow for Math, and red for English. This helps you quickly find and review topics you've marked in each subject. In the same way, tags in Azure are used to organize all the different things (called resources) that are part of your project. They can help you quickly find related resources or even help to understand how much money you're spending on different parts of your project. Tags: This is all about who gets to do what. Think about the roles in your school. Students, teachers, and principals all have different responsibilities and access to different things. For example, only teachers can grade papers and only principals can make certain decisions. Similarly, in Azure, there are different roles, and each role has access to different resources. This ensures that people can only do what they're supposed to and helps keep everything secure. Identity and Access Management: the roles for managing a storage account may be different from the roles for managing virtual machines. These roles are part of a system called RBAC (Role-Based Access Control). You can apply these roles to different scopes, which determine where the roles apply. For example, Management groups are used to organize multiple Azure subscriptions. If you apply a rule or role at the subscription level, it will automatically apply to all the resource groups and resources within that subscription. It's like setting rules for a whole bunch of things at once. But if you want more control over specific resource groups, you can use role assignments at the resource group level. This gives you a more granular way to assign roles to different users or groups for specific resource groups.

Azure's Four Levels of Management Explained in a Simple Way

As a data engineer, your job involves handling lots of information (we call it data). You need to think about where all this information is coming from, what it looks like, and how it might need to be changed or fixed up. You also need to think about where it's going and what questions it can help answer. The main task of a data engineer is to ensure that all this information moves smoothly from one place to another, like a well-oiled machine, so that it can be used by data scientists. Data scientists are like detectives, they use this data to solve business mysteries by examining it, understanding it, and then suggesting solutions. Data engineers are like the kitchen helpers who prepare all the ingredients for a chef to cook with. They make sure that the data is all set and ready for the data scientists to use. This helps the data scientists to work more efficiently and focus on their main job. Data engineering is a very crucial job because it helps businesses to understand and make decisions based on the data they have. It's like having a good roadmap that guides you to make the right decisions. As a data engineer, your primary responsibility is to manage and prepare data for analysis by data scientists. You need to consider various aspects of the data: You have to identify where the data is coming from. It could be databases, files, external systems, APIs, or sensors. Data Sources: Different tools available in Azure that allow you to store and retrieve data from For Example: Azure SQL Database, Blob Storage, Azure Data Lake Storage, Cosmos DB Azure Event Hubs, Azure IoT Hub. You need to understand the structure and format of the data. This includes the organization of the data, such as tables, fields, and relationships. Data Structure: SQL (Structured Query Language), JSON (JavaScript Object Notation), XML (eXtensible Markup Language), Avro, Parquet, CSV (Comma-Separated Values) Example: Sometimes, the raw data you collect may need to be modified or cleaned before it can be used effectively. You perform tasks like data cleaning, filtering, merging, or reshaping to ensure the data is accurate and consistent. Data Transformation: The tools available for data transformation are Azure Data Factory, Azure Databricks (with languages like Python, Scala, or R) Azure Functions, SQL Server Integration Services (SSIS), Apache Spark, Azure Logic Apps. Example: In many cases, data comes from multiple sources, and it needs to be combined or integrated to provide a complete picture. You merge data from different systems or databases to create a unified dataset. Data Integration: The tools available for integration are Azure Data Factory, Azure Logic Apps, Azure Databricks, Apache Kafka, Azure Event Grid Example: You determine the appropriate storage solution for the data, considering factors such as scalability, performance, and security. This could involve using databases, data warehouses, or big data platforms. Data Storage and Management: Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Blob Storage, Azure Synapse Analytics, Azure HDInsight (for big data processing) Example: Data engineers build and maintain data pipelines, which are automated processes that move and transform data from source to destination. These pipelines ensure a smooth flow of data and enable real-time or batch processing. Data Pipeline Development: In Azure, there are various storage options available for data storage and management - Azure Data Factory, Apache Airflow, Azure Logic Apps, Apache NiFi, Azure Databricks. Example: Ensuring the quality of data is critical. You implement data quality checks, validation processes, and data governance policies to ensure data integrity and compliance. Data Quality and Governance: In Azure, there are various tools and services available to help maintain data quality and enforce data governance policies- Azure Data Factory (data validation activities), Azure Purview (data cataloging and governance), Azure Monitor (for monitoring data pipelines and quality), Azure Data Share (for data collaboration and governance). Example: Data engineers work closely with data scientists to understand their requirements and provide them with the necessary data. You assist in setting up the data infrastructure and optimize data access for efficient analysis. Collaboration with Data Scientists: In summary, as a data engineer, your role is to manage the data pipeline, transform and integrate data, and ensure its quality and availability for data scientists. This helps businesses make informed decisions based on reliable and well-prepared data.

Who is a Data Engineer and What Do They Do

What differentiates one hosting plan from another? Hosting plans are differentiated mainly through hardware configurations offered within them. The type of storage is a major component of this configuration, presented mainly by more traditional VPS HDD and drives as well as newer and more advanced NVMe, each having specific features and usage cases. VPS SSD hosting Today, we want to guide you through the specificity of each storage device and its implementation to help you choose the optimal solution for your web project. HDD vs. SSD vs. NVMe HDD or Hard Disk Drives are the oldest storage type that is based on rotating magnetic disks accompanied by a reading device. They have been the main way of storing information on both servers and home PCs until SSD drives became widespread. SSD or Solid State Drives can be considered a more advanced solution that is based on a different technical approach: instead of a mechanical device with lots of moving parts, there is a solid-state device that stores information in microchips in the form of electric charges. The abandoning of the moving mechanism solved a range of problems associated with HDD: writing and reading the information is much faster being independent of a moving mechanism – it’s intuitively clear that charges can reach higher speed rates than a rotating thing; on the other hand, SSD is not subject to wearing out that fast. In addition to that, SSD produces less noise, less heat, and consumes less electricity. Although nowadays, in most hosting offers, it hasn’t completely substituted HDD for the sake of price: HDD drives are offered for a lower price for larger amounts of storage, thus having still a range of actual usage cases. SSD drives are the primary storage device NVMe drives (from Non-Volativel Memory Express) are SSD drives with a newer high-speed interface. The thing is that SSD drives were originally based on the interface originally developed for HDD, namely SATA and SAS, which had certain limitations in speed. The problem was solved by a consortium of different storage device producents that decided to create a new standard. As an “SSD on steroids”, NVMe cost more while offering increased performance and speed. Usage Cases of the Storage Types Now that we have a general idea of what each storage type is, let’s see when it’s recommended to use each of them. HDD Drives With SSD drives becoming omnipresent, HDD drives are still useful in many cases, generally in ones where high storage performance is secondary with respect to such factors as cost and the volume of storage. This can be: SSD drives are perfect when there is not so much to store, but the website is, in turn, accessed very frequently. HDD drives present an opposite case: the website is not intended for hundreds of visitors a day, but it’s important to put there as much as possible – bit files, multimedia, etc. A niche website with heavy content: There are lots of cases where the , whereas important is the mere availability of the data, while it’s not going to be accessed too often. This can include data warehousing, cold storage, or bulk storage of large datasets for working with big data. Storing archives: main purpose of a server is to store data Backups are a perfect example of a server storing data that is not accessed intensively, whereas the more data can be stored, the better. Backups are essential for ensuring that your precious data will be lost no matter circumstances, and HDD drives can help you build a powerful backup solution. Backups: SSD drives SSD drives are a good solution for most modern websites. When you have a website that corresponds to modern website criteria, runs some complex applications, and is accessed by dozens of users a day, an SSD drive will be a wise capital investment. NVMe Drives that is enhanced through an advanced high-speed interface. This is an optimal solution when the performance of the storage is crucial to reach the optimal performance of the project. NVMe drives are a newer version of SSD NVMe drives are a good choice when for this or that reason a standard SSD cannot cover the performance need of your website anymore. This can be the case in the development of technologically advanced applications and in the areas of machine learning and artificial intelligence. Conclusion Although storage can seem to perform a rather passive and static role, it is indeed a critical component of your server being able to significantly affect the performance of your project. It’s essential to choose it with an eye on the specificity of your project and your budget to get the most out of your server. We hope that the information above was helpful to you and wish you success in your web undertakings.

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SATVA SOLUTION

satvasolutions.com

11-50 employees

Since 2013

COMPANY RANKING

SATVA SOLUTION

EVERGREEN INDEX #396

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