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Unify is a Mitel company headquartered in Munich, Germany and is present in over 100 countries. It provides software-based enterprise unified communications including voice, Web collaboration, video conferencing and contact center, networking product and services.

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The office is located in the heart of the capital and the team currently numbers around 500 young professionals. Starting as a Financial Shared Services Center 5 years ago supporting Unify, a Siemens company, it is now a multifunctional Global Business Services…

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Unify Technologies | 15,793 followers on LinkedIn. A Digital Engineering Company. | A leading Digital Engineering company with a mission to help global clients build quality software products rapidly and cost-effectively. Our extensive experience in software product engineering practices helps ...

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Unify Corporation, one of the early developers of database management systems and tools for database development, was founded in 1980

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UNIFY brings local credit union banking to members anytime, anywhere. From flexible terms to innovative banking technology, better banking begins with U.

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Unify RCM is one of the best and leading medical billing company located in Ohio, providing comprehensive services for healthcare businesses throughout the USA.

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Welcome to Uniify! 🚀 We're on a mission to transform workplace dynamics through our all-in-one platform, uniting Employee Engagement, Wellbeing, and Internal Communication. 🌟 With Uniify, experience: Tailored Engagement Solutions: Recognition, Feedback, Learning Goals, Coffee with Colleague, Survey, Polls, Company Wall, Reward Points. Holistic Wellbeing: Physical, Mental & Emotional. Streamlined Internal Comms: Alerts, Scheduling, Location-based Communication. Join us in fostering a culture of connection and empowerment! Explore Uniify today.

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By Demetrios Skalkotos, CEO & Co-Founder of expand.network In the decentralized finance (DeFi) space, each blockchain or protocol can be compared to a unique stall in a bustling marketplace. However, there's a twist: each trader (blockchain) communicates using their own set of rules and language. While this diversity fosters a hotbed of innovation, it simultaneously presents a formidable challenge — the absence of seamless and secure interoperability. Universal connectors are the technical linguists of our time, fostering communication across different systems. They act as a middleware layer, translating the information from one language to another, much like Google Translate. Let's consider this concept within the context of blockchain and decentralized finance. Today, the blockchain and DeFi ecosystem reflects a vibrant marketplace where each stall is a unique blockchain or protocol. It's a hotbed for innovation but with a catch. Each blockchain and protocol operates under its own rules, speaking unique languages that lead to a web of intricate interactions. The lack of seamless and secure blockchain interoperability means developers working with multiple blockchains and protocols face a labyrinthine process, obstructing the path to seamless interoperability. Digital Tower of Babel These fractured blockchains and DeFi protocols form a puzzle that developers must solve. Every piece of the puzzle represents a different blockchain with its unique set of rules, smart contracts, and communication protocols. This fractured environment makes it challenging to build applications that can interact seamlessly with multiple blockchains. Now, consider the arrival of a Rosetta Stone for blockchain: universal connectors. They act as the bridge between disparate blockchains and DeFi protocols, interpreting the unique languages of each system, thus allowing developers to work with multiple systems effortlessly. In the blockchain world, interoperability is the capacity of diverse blockchain networks to share information and conduct transactions with each other. Here, universal connectors become invaluable interpreters in the tower of blockchain languages, allowing different systems to understand and communicate with each other. Translating Blockchain Sending information from one blockchain to another without a translator or connector would be like trying to mail a package without knowing the recipient's language. The message, or the “package,” wouldn't be delivered correctly because it's not written in the correct language for that particular system. Universal connectors resolve this issue, acting as interpreters, translating the information from one blockchain's language to another's, facilitating communication and transactions across different blockchains. They can support both EVM and non-EVM compatible blockchains and a variety of DeFi protocols including swapping, lending, borrowing, yield aggregation, bridges, and other banking capabilities. Challenges and Opportunities As DeFi continues to grow and more blockchains and protocols emerge, the need for efficient communication across these diverse systems becomes paramount. But blockchain interoperability has been plagued by challenges. Many have tried and failed to solve the complex issue of blockchain interoperability, often falling victim to expensive hacks and security breaches. Traditional approaches like notary schemes, hashed time-lock contracts, and sidechains have been deployed with varying degrees of success. These methods have faced challenges ranging from security vulnerabilities to performance limitations. For instance, notary schemes often require a trusted third party, creating a single point of failure. Hashed time-lock contracts, while innovative, are limited by the need for participants to be online simultaneously for transactions to occur. Sidechains and relay chains have come closer to achieving seamless interoperability but are often constrained by complex setups and high operational costs. Importantly, some of these traditional approaches can also introduce single points of failure and attack vectors, exacerbating the security risks. The real-world implications of blockchain interoperability — or the lack thereof — are far from theoretical. Take, for example, the in August 2021, which saw US $600 million compromised across Ethereum, BSC, and Polygon Chains. s Poly Network exploit Or consider the in February 2022, resulting in the loss of 120,000 Wrapped Ether (wETH) tokens valued at US$326 million. Most recently, the , the makers of the popular game Axie Infinity, was exploited for a staggering US$625 million in Ethereum and USDC. Wormhole token bridge incident Ronin Network's bridge to Sky Mavis These incidents underscore the urgent need for more secure and efficient solutions. Unlike traditional blockchain bridges, which have shown vulnerabilities, universal connectors are engineered to offer a more advanced and secure solution. They act as intermediaries that can translate and verify transactions, thereby reducing the risk of security breaches. Trustless blockchain bridges are also in development to eliminate the need for a "man-in-the-middle," enhancing security even further. Universal connectors not only promise to mitigate the risks associated with previous technologies but also aim to solve the "interoperability trilemma," offering a solution that is trustless, extensible, and data agnostic. In doing so, they lay the groundwork for a future where the interoperability problem becomes a relic of the past, opening up new avenues for innovation and collaboration across diverse blockchain networks. Charting New Paths Blockchain connectors have come a long way since their inception. While they may have started as rudimentary "bridges," today's connectors offer a far more advanced and secure solution for blockchain interoperability. At the same time, it's important to acknowledge that no technology is without its challenges. For instance, like any other technology aiming for widespread adoption, universal connectors must navigate issues like security protocols and integration complexities. The advent of the internet was a tale of isolated islands, each computer system using its own coded language. The arrival of TCP/IP, an assortment of communication protocols, acted as the digital interpreter, creating a universal language that allowed these systems to converse. It reshaped the digital landscape, laying the groundwork for the modern internet. In a similar vein, universal blockchain connectors could serve as the TCP/IP of the crypto world, unifying disparate systems and enabling seamless communication. Blockchain connectors have the potential to be a catalyst for change, opening up new possibilities in the Web3 space where blockchain bridges in the past have failed. Imagine an ecosystem where diverse systems interact seamlessly, where the interoperability problem is a thing of the past, addressing the inefficiencies that have long been a hurdle in the blockchain landscape — without the gaping security gaps. Looking ahead, widespread adoption of universal connectors could also open the floodgates to new developments. For developers, this means the capacity to build versatile applications that can interact with a multitude of blockchains and protocols. For traders, this implies seamless transactions across different systems. Universal connectors could lead to a more interconnected and collaborative blockchain and DeFi ecosystem, fostering further innovation in the space. They provide a solution to the fragmentation in the blockchain landscape, promising a future where diverse systems can coexist and collaborate. About the Author , is the CEO and Co-founder of Demetrios Skalkotos expand.network a connector API service that offers one common gateway for the various queries (read) and transactions (write) functions for major blockchains and smart contract-based protocols. expand.network offers a single integration point for access to all of DeFi, simplifying the process of working across multiple blockchains for any and all blockchain foundations, investors, traders, wallet providers, developers, and more. Also published here

How to Unify the Blockchain Babel With Universal Connectors

ইউনিভার্সাল সংযোগকারীর সাথে ব্লকচেইন ব্যাবেলকে কীভাবে একীভূত করবেন

So vereinheitlichen Sie das Blockchain-Babel mit universellen Konnektoren

Cómo unificar Blockchain Babel con conectores universales

Comment unifier la Blockchain Babel avec des connecteurs universels

यूनिवर्सल कनेक्टर्स के साथ ब्लॉकचेन बैबल को कैसे एकीकृत करें

ブロックチェーン バベルをユニバーサル コネクタで統合する方法

범용 커넥터로 블록체인 바벨을 통합하는 방법

Como unificar o Blockchain Babel com conectores universais

Как унифицировать Blockchain Babel с помощью универсальных коннекторов

Blockchain Babel'i Evrensel Konektörlerle Nasıl Birleştiririz?

Cách hợp nhất Babel Blockchain với các trình kết nối phổ quát

如何将区块链 Babel 与通用连接器统一起来

Understanding What are Decentralized Trading Protocols and Why Does it Matter for Web3 Decentralized trading protocols to offer an alternative to traditional centralized exchanges (CEX) in the trading of cryptocurrencies. The main vision behind decentralization is to eliminate the need for intermediaries and provide a more secure and transparent platform for trading digital assets. aim With no central authority controlling the exchange, users have complete control over their assets, reducing the risk of theft or loss in the event of a hack. Decentralized trading protocols offer numerous , including increased security, reduced fees, and improved privacy. They also provide a level of transparency that is not possible with centralized exchanges, as all transactions are publicly recorded on a blockchain. This allows for greater accountability and reduces the possibility of fraud. In addition, decentralized trading protocols enable cross-border trading and enable users to trade assets that may not be available on centralized exchanges. benefits What is a Dual-Chain System in DeFi? A dual-chain system in blockchain refers to a system where two chains are utilized to achieve a specific goal. The dual-system in DeFi refers to the use of two different protocols, one for settlement and the other for communication, in a decentralized finance system. This setup allows for faster and more efficient transactions while still maintaining the security and decentralization provided by the underlying blockchain technology. The communication protocol is responsible for transmitting information and executing transactions, while the settlement protocol ensures that the actual transfer of funds takes place in a secure and transparent manner. This approach allows DeFi systems to handle high volumes of transactions while still providing the necessary security and trust for users to participate in financial activities. The use of a dual-system in DeFi provides a balance between speed, efficiency, and security, making it a key component of the growing DeFi ecosystem. Innovative Dual-Chain System Unifies User Experience and Decentralization on Dexalot Subnet Launch Decentralized cryptocurrency exchange, Dexalot, has launched its new trading platform, the Dexalot Subnet, on the Avalanche network. This marks a significant milestone in the advancement of decentralized trading protocols and offers a user experience similar to centralized exchanges (CEX) while maintaining decentralization and transparency. : Vested Interest Disclosure The author is an independent contributor publishing via our . Be it through direct compensation, media partnerships, or networking, the author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. brand-as-author program In the case of Dexalot, the dual-chain system consists of the main chain (Avalanche C-Chain) and the exchange chain (Dexalot Subnet). The main chain is responsible for the deposit and withdrawal of assets, while the exchange chain facilitates the actual trading of assets. By utilizing both chains, Dexalot is able to offer a user experience that is similar to centralized exchanges (CEX) without sacrificing decentralization and transparency. The exchange chain, or Subnet, is built on an Avalanche Subnet and has been optimized for speed, safety, and user experience through the use of an on-chain central limit order book (CLOB) and low transaction fees. The communication between the main chain and the exchange chain is facilitated through cross-chain communication protocols, which enables DeFi users to trade with confidence without having to surrender control over their assets. The innovative dual-chain design sets the stage for further mass adoption of DeFi by establishing a foundation for multiple ecosystem interoperabilities to be created on top of and around it. According to Cengiz Dincoglu, Co-Founder and CTO of Dexalot, the Subnet is optimized for speed, safety, and user experience. The team behind Dexalot is looking forward to introducing DeFi traders to the platform and setting itself apart from other centralized and decentralized exchanges in the market. The innovative design of the Subnet lays a foundation for expanding to other host chains, furthering the mass adoption of DeFi. The implementation is said to create opportunities for multiple ecosystem interoperabilities to be built on top of and around Dexalot. Don’t forget to like and share the story! Image credits: . Aditya Vyas

Unifying User Experience and Decentralization: The Innovative Dual-Chain System on Dexalot Subnet

Although there are a few altcoins that have caught some attention in the media and have seen peaks of significant investment, there is no denying that Bitcoin dominates the industry by a landslide. According to , 36% of all US crypto owners have Bitcoin in their wallets. Influencer Marketing Hub Furthermore, the overall value of the currency has climbed from just $500 in 2016 to a whopping $17,000 per coin in 2022, which speaks to its incredible capacity for exponential growth. For software developer, Nikita Chashchinskii, Bitcoin, as the leading digital currency, has the potential to become a stable foundation for a market that has seen far too much volatility within the last few years. While many people are still naive and overwhelmed by this new sector of the financial market, Nikita is a part of a forward-thinking team spearheading the technology. The project is being developed with Drivechain and is positioned to make the world of cryptocurrency more transparent, and more secure at the same time. The Makings of a Blockchain Software Development Expert From a very young age, Chashchinskii was enthralled by science fiction and imagined himself as a protagonist in the novels that he would read, using technology to solve problems and make the world a better place. Video games allowed him to indulge in those fantasies and also presented a potential career path for his future. He was eager to learn, as his interest in software development grew, and he spent many hours of his childhood reading books about basic programming language and mathematical systems used in game design. By the time he was in secondary school, Nikita was experimenting with simple game design to begin putting the acquired knowledge into practice. At the same time, he continued to expand his studies and moved beyond basic C++ to learn more complex and professional programming languages like Rust, Haskell, and Python. Highly motivated and eager to jump into the industry, he even contributed to an open-source game engine through his last year of high school and the first year of college. Chashchinskii continued to do some freelance work during his college years. Then, while in his final year of his bachelor’s program, he came across an exciting opportunity to participate in an international competition where contestants were required to build Zcash sidechain software, to help enable privacy with Bitcoin, for the Drivechain project. He was familiar with the project and was enticed by its potential to create a distributed prediction market for cryptocurrency. Although he was very busy juggling school and a day job as a full-stack engineer, he used any free time he could find to work on the task and, in the end, was the only competitor who developed a functional solution. Hitting the Nail on the Head With Drivechain Nikita clearly had an affinity for Drivechain development and, as a result, he was brought onto the team to continue working on the project. After completing his bachelor’s program, he was accepted into a master’s program in software engineering. He pursued his studies, worked his day job, and continued to build more prototypes of the Zcash sidechain in his spare time. By the end of 2021, he let go of his job to focus on his studies and Drivechain-related work – which was particularly important, as he had received an offer for full-time employment on the project for after graduation. Unfortunately, Chashchinskii did not have the chance to complete his master’s degree due to the volatile circumstances in Russia. After leaving the country and relocating to Istanbul, he had much more time on his hands which he spent mostly on the development of  Drivechain, and during that time, Nikita really found his stride. Most significantly, he built a software library that makes it much easier to build sidechains of altcoins – enabling their unique features – within the Bitcoin framework. Nikita explains that “Right now, adopting new technology in the cryptocurrency world is usually accompanied by creating a new 'token' or 'monetary unit', fragmenting the network, making the cryptocurrency industry something lesser than the sum of its parts, creating internal conflict, and legitimizing ponzi schemes and other con-artist [techniques].” In contrast, the two-way-pegged Bitcoin sidechains that he is developing have the potential to unite the entire cryptocurrency industry. By enabling the adoption of a variety of new technologies, without creating any new monetary units, BTC could easily be moved from one technological platform to another. Furthermore, it could do so at a 1-to-1 exchange rate. This would allow individual users to independently make decisions about the risks and features that they want to explore, without affecting the foundation of the currency at all. As this project gains momentum, it is likely going to lead to Bitcoin absorbing the market share of all useful altcoins by converting them into sidechains. Chashchinskii has already built solid sidechain versions of both Zcash and Ethereum, and his innovative work has been featured in Bitcoin Magazine. He is very excited about this unification, as it will lead to a more trustworthy and predictable market. Currently, the hope of hitting it big with a new monetary unit is exactly the type of promise that schemers use to target investors, especially those who are inexperienced and easy to take advantage of. Of course, the project not only benefits the users within their massive network, but it is also a huge level-up for Bitcoin. Until now, Bitcoin has not been able to explore new technologies without bringing risk to its entire community, as well as to its own foundational software. With sidechains, they create an avenue for freedom and flexibility while protecting their core technology. The Drivechain project, created by , aims to improve Bitcoin to the point where all the other digital currencies become obsolete. LayerTwo Labs To achieve this, the cryptocurrency must combine privacy, scale, and versatility. It also has to function in every use case and include a more intuitive UX. LayerTwo Labs was founded by veterans of the cryptocurrency industry, and Nikita’s unique skills and aligned goals made him a perfect addition to the team. In conclusion, Nikita says “With Drivechain it is possible to copy any altcoin’s technology 1-to-1, creating a sidechain that is strictly superior to the copied altcoin, because it has the exact same features, as well as Bitcoin’s greater network effect… Drivechain [also] enables distributed censorship resistant prediction markets on Bitcoin, [which] would let us direct the predictive power of financial speculation towards forecasting the future – as well as potentially enabling other applications like financial derivatives, insurance, funding public goods, and governance.]”

Nikita Chashchinskii Is Unifying the Cryptocurrency Industry
With Drivechain

Unifying Random Generation and Shrinking (Property-based Testing Part 4)

Today, consumers use a wide variety of devices, browsers, and channels during their buying journey. Although the advent of online shopping has opened big opportunities for brands, at the same time, the disparity in customer data has drastically increased. Companies capture, track, and store customer data at various sources. This gives birth to serious data quality issues, including format variations, incorrect patterns, missing information, and record duplication. In this blog, we will look at why unifying mailing lists and linking rows is detrimental to enabling customer personalization, and how you can ensure clean, standardized, and matched data. Why is Unifying Mailing Lists Important? A consumer uses about 20 marketing channels when making a buying decision. Most businesses do not have any unifying technology implemented for customer data. This causes problems when they want to understand their customers better – in terms of behavior and preferences. Some common channels used by customers include emails, websites, social media platforms, digital magazines, chatbots, etc. When customer data is generated at multiple ends, there must be some way to consolidate and unify it to get a single, comprehensive view. Businesses that use clean, matched mailing lists avoid serious complications, such as: Hard bounce rate or failed email deliveries, indicating that most email addresses in your mailing list are invalid or do not exist. Decreased customer engagement since the brand fails to understand their customer’s preferences and buying intentions. Failed mail deliveries since customer addresses stored in the database are not standardized or verified, and do not point to a valid mailable location. Duplicate marketing efforts incurred due to the presence of multiple records for the same individual can cause you to waste a lot of time and resources. Inaccurate business intelligence which causes business leaders to base critical decisions on inaccurate customer information. How to Unify Customer Lists? Unifying customer lists is a systematic process that consists of the following steps: Import lists The first step is to get all lists that need to be unified at one place. This can include connecting to different databases, local files, third-party applications, etc. You may have to review and consider the structural differences between databases, as well as the variation in column titles. To fix such issues, you need to import selected columns, rename columns, as well as map columns from one list to another to define which ones contain the same information. Profile lists When the lists are imported, you need to run data profiling algorithms that will statistically analyze each list and highlight possible data cleansing opportunities. This includes finding out: Blank or empty values, Incomplete records, Incorrect formats and data types, Invalid pattern, Irrelevant or garbage values, etc. Standardize data values Now it's time to fix issues that were identified during the data profiling stage, including specifying missing information, transforming patterns, formats, and data types, and more. This step also includes column parsing or merging – you need to divide one column into multiples or merge multiple columns into one. This is done to get more accurate results when you are matching lists to identify records belonging to the same customer. For example, parsing Full Name column into First Name, Middle Name, and Last Name columns. Similarly, you can merge City and Country columns into one. Match rows in lists In this step, you will match and link records that belong to the same customer. This can be done in two ways depending on whether your lists have uniquely-identifying attributes. With unique attributes: Presence of unique attributes such as Social Security Number or an IP Address can help you to perform exact matches on lists and find out which belong to the same customer. Without unique attributes: In absence of unique identifiers, you need to perform advanced . This process includes selecting a combination of attributes, comparing them across records, and computing the likelihood of them belonging to the same customer. matching techniques such as fuzzy matching Deduplicate and merge matching results Once you have identified records that possibly belong to the same individual, now it’s time to deduplicate and merge them to get the golden record. To avoid data loss, you need to merge or overwrite information from duplicate records onto the main one. Once done, you can delete the duplicates and mark the main one for export. Last Word This is how you can attain a clean, unified mailing list that shows a comprehensive view of your consumers. Ideally, you would want to get the most accurate matching results to prevent data loss. For this reason, employing advanced tools such as can help implement the entire process with speed and efficiency. record linkage software Interactions and experiences designed using unified datasets can help you to build more valuable relationships with your customers – something that is impossible without understanding their behavior and preferences. This is why it is imperative to use advanced tools that allow you to get the most out of your data.

Unifying Mailing Lists to Enable Customer Personalization

This blog is the first in a series introducing Alluxio as the data platform to unify data silos across heterogeneous environments. The next blog will include insights from PrestoDB committer Beinan Wang to uncover the value for analytics use cases, specifically with PrestoDB as the compute engine. Alluxio started as a virtual distributed file system, a research project out of the AMPLab at U.C. Berkeley. Alluxio foresaw the need for agility when accessing large data stores separated from compute engines like Hadoop or Spark. Fast forward several years and over a thousand committers later, and Alluxio has blossomed into the industry’s leading platform for analytics and AI/ML. But as with any new type of technology, figuring out the best ways to use it depends on your data environment, computational workloads, issues, and goals. data orchestration So, after working with hundreds of organizations and fielding numerous inquiries, we thought it would be good to offer up a fresh take on the most popular use cases for Alluxio data orchestration. Data Orchestration: Bringing Data Closer to Compute The ability to quickly and easily access data and extract insights is increasingly important to any organization. With the explosion of data sources, the trends of cloud migration, and the fragmentation of technology stacks and vendors, there has been a huge demand for data infrastructure to achieve agility, cost-effectiveness, and desired performance. To meet the demand, provides a data abstraction layer that bridges computation frameworks and underlying storage systems. Alluxio is the only platform in the market today that brings together data locality with a distributed cache, API compatibility with popular data analytics and AI/ML frameworks, and a global namespace to federate data silos. Alluxio Alluxio is designed to help any framework access any data from any storage at high performance regardless of your environment, which enables your organization to remain agile and competitive in adopting and experimenting with new and existing technologies. The first use case is to run data-intensive workloads in a single cloud. Although more organizations are choosing cloud object storage for cost-effectiveness, scalability, and ease of use, they can hardly enjoy the same capabilities as a file system like HDFS. Thousands of companies leverage Alluxio at a large scale in production for modern data services. We have seen five common use cases to begin. With this overview, you will be able to tie this to your architecture and workloads and start using Alluxio. The first two use cases are single cloud or solely on-prem, while the following three use cases are for hybrid cloud environments. Cloud: achieve consistent SLAs and cost savings in a single cloud On-prem: speed-up analytics on on-prem object stores Hybrid cloud with compute in the cloud, data on-prem: burst compute to a public cloud and gradually migrate Hybrid cloud with data in the cloud and compute on-prem: gateway to utilize on-prem compute for data in the cloud Multi-datacenter: cross datacenter access without changing ingest pipeline across regions Use Case 1: Achieve Consistent SLAs and Cost Savings in a Single Cloud The first use case is to run data-intensive workloads in a single cloud. Although more organizations are choosing cloud object storage for cost-effectiveness, scalability, and ease of use, they can hardly enjoy the same capabilities as a file system like HDFS. For example, if you are running TensorFlow on top of AWS S3, one of the biggest challenges is the data access performance mismatch between the training frameworks on GPUs and cloud storage. Also, metadata operations are inefficient and expensive because of a pricing model based on the amount of access. Furthermore, when you are using ephemeral instances, the embedded caching solutions are not valid. As a data orchestration platform, Alluxio addresses these challenges by providing intelligent caching and metadata management. When deploying Alluxio with the compute node, you can see significant performance gains while accessing data ( , ) and cost savings ( ). 2-7x for analytics engines 1.7-2.3x for model training cut storage access cost up to 50% Alluxio not only handles the caching but also manages the corresponding metadata to avoid particular inefficient metadata operations and expensive metadata service costs. In addition, off-cluster caching for on-demand ephemeral workloads further makes consistent performance possible. Overall, with Alluxio as a data orchestration platform, you can achieve consistent SLAs and cost savings on cloud object stores. Alluxio can integrate with major cloud object stores, including AWS S3, Azure Blob Store, Google Cloud Storage. Electronic Arts, a leading company in the gaming industry, used Alluxio to achieve a high-performance platform on AWS to support real-time gaming services. Check out the case study . here Use Case 2: Speed-up Analytics on On-prem Object Stores The second use case is to run data-driven applications on top of an object store deployed on-premise. Similarly, it is hard to achieve the desired performance for analytics and AI, and metadata operations lack performance. In addition, on-prem object storage does not provide as many native APIs for popular frameworks as cloud object stores do. As a result, applications have to use less optimal connectors to access on-prem object stores. Alluxio, as a data orchestration platform, can improve the performance and handle the API translation, which will make onboarding to on-prem object storage seamless with a familiar security model. To access the underlying object storage, the applications only need to talk to Alluxio using conventional  APIs, and Alluxio handles the API translations behind the scenes. Thus, you can migrate workloads to the object store at your own pace without changing applications that affect the end-user experience. Furthermore, because Alluxio brings data closer to the compute frameworks, it will dramatically speed up Spark, Presto, Tensorflow, and other analytics frameworks on your object store with the flexibility of segregated storage. Alluxio supports any commercial object storage platform, including Ceph, MINIO, Cleversafe, Dell EMC ECS, and more. DBS, a top bank in Singapore, uses Alluxio to orchestrate data locally and makes numerous data applications accessible to the object storage. Check out the presentation . here If you are working in a large organization, you are likely to face more complex data infrastructure in a hybrid cloud environment with disaggregated compute and storage over a network connection. Use Case 3: Burst Compute to a Public Cloud and Gradually Migrate The third use case is to leverage the flexible compute resources on the public cloud so that you can migrate analytics or AI to the cloud and leave your data on-prem. This migration is not easy because of the limitation of network latency and bandwidth while running analytic workloads in the cloud with the data on-prem. The common solution is copying data into the cloud environment and maintaining the duplicate data on-prem (also called “lift and shift”). However, this solution is not only error-prone and also leads to issues in data consistency. Furthermore, some organizations may face compliance and data sovereignty requirements, preventing them from copying data into the cloud. The performance concern makes it difficult to progress with cloud migration. Alluxio tackles these challenges by providing the “Zero-Copy” burst feature – this is one of the most powerful features that organizations benefit from Alluxio on their journey to the cloud. Zero-copy burst enables compute engines in the cloud to access data on-prem without a persistent data copy or synchronization. You can scale analytics workloads with no change in the end-user experience or the security model. In terms of performance, by bringing the data close to data analytics and machine learning applications on-demand, the performance is much better than directly accessing the remote data ( ). Also, the on-prem data stores will have offloaded the computation and minimized the additional I/O overhead. an average of 3x improvement In summary, Alluxio, as a data orchestration platform in the middle, handles data movement for high efficiency so that workloads can be migrated to the public cloud on-demand without moving data between computing environments first. Alluxio takes charge of connecting to multiple stores so that you can gradually migrate the data using Alluxio to smooth your cloud migration journey. Walmart leverages Alluxio for this use case. They used Presto in the cloud to handle more capacity for data analytics and offload previously on-prem Hive workloads, which wouldn’t be as seamless, high-performing, and cost-effective without Alluxio’s zero-copy burst. Check out Walmart’s presentation . here Use Case 4: Hybrid Cloud Gateway to Utilize On-prem Compute for Data in the Cloud The fourth use case is to access cloud storage from a private data center, which is also a hybrid cloud architecture with decoupled object storage systems and compute nodes. Since the data is remote to the compute nodes, when running analytics directly on the object store, you will have to repeatedly pull the data from the storage nodes over the network, leading to inadequate performance and a high network egress cost. Alluxio remedies these performance and cost issues by acting as a hybrid cloud storage gateway that utilizes on-prem compute for data in the cloud. When deployed with the compute on-prem, Alluxio manages the compute cluster’s storage and provides data locality to the applications. Alluxio also helps by caching data, which avoids repeatedly fetching data directly from the cloud storage. Now you can keep the single source of truth in the cloud without sacrificing good performance or suffering from high egress costs by using Alluxio to fully leverage your existing compute-side resource deployments. reduce a large amount of network egress costs Comcast uses Alluxio to logically decouple compute and storage to enable rapid innovation in the storage and application layers. Check out the presentation . here Use Case 5: Cross Datacenter Access Without Changing Ingest Pipeline Across Regions The fifth use case is in multiple data centers where compute is in one data center, and the primary data lake is in another data center. Many organizations maintain satellite compute clusters that are independent of their main data cluster for the purposes of performance, security, or resource isolation. These satellite clusters need to access data remotely from the main cluster, which would become overloaded and dramatically impact the performance of existing workloads. Alluxio’s data orchestration platform makes the multi-datacenter architecture more manageable. When deployed on the compute nodes in the satellite cluster and configured to connect to the main data cluster, Alluxio serves as one logical copy of data that provides the unified namespace as the main data cluster. Alluxio can accelerate the remote data read from the main data cluster without adding extra ETL steps. Intelligent data caching eliminates the performance bottlenecks, decreasing the overall load of the main data cluster. Thus, data platforms can be self-service across business units without changes to the applications. At a leading SaaS company, the data application team used Alluxio to improve performance by ~3x and achieve self-service when adding satellite clusters to offload their central storage cluster. Summary With Alluxio, you can finally realize the technical and business benefits no matter if you are all on-prem, in the cloud, multi-cloud, or in a hybrid environment. Alluxio can help you achieve better agility, cost-effectiveness, and desired performance, which leads to faster time to insight to make better-informed decisions that provide a crucial competitive advantage. This is the reason why thousands of organizations choose Alluxio as the data orchestration platform to modernize their data infrastructure. If you are interested in learning more about how Alluxio can help solve your challenges, and . You can also join our community to engage with our users or developers. And, of course, you can download a copy of the free or a trial of the full to discover the benefits of data orchestration for your own use cases. contact us request a demo today slack channel Alluxio Community Edition Alluxio Enterprise Edition Also Published Here

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uniifyapp.com

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Uniify

uniifyapp.com

11-50 employees

Since 2018

COMPANY RANKING

UNIIFY

EVERGREEN INDEX #11949

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