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Hands-on with Apache Iceberg on Your Laptop: Deep Dive with Apache Spark, Nessie, Minio and more!

Many of us have made changes to data based on requirements that later evolve. By the time we realize it, it becomes impossible to roll back. Change isn't just a constant; it's an essential part of managing data that demands a sophisticated approach. Enter the Git-like functionality of Dremio's data catalog Nessie. Just as Git has become fundamental to software development, data engineers need similar tools to work in parallel, compare data versions, promote changes to production and roll back data when needed. Nessie provides data engineers with a Git-like version control system for managing data versions, branches, merges, and commits. This can be very helpful when multiple data engineers are working with and transforming data at the same time. Nessie allows each engineer to work in separate branches while maintaining a single source of truth in the form of the main branch. This functionality empowers data engineering teams to maintain data quality collaboratively in the face of unrelenting change. This article provides a step-by-step guide demonstrating how Nessie, Dremio and MinIO work together to enhance data quality and collaboration in your data engineering workflows. Whether you're a data engineer, ML engineer, or just a modern data lake enthusiast, this blog equips you with the knowledge and tools needed to effectively enhance your data versioning practices. Understanding the Basics: Nessie Workloads Nessie allows for Git-like workloads that let you test, develop and push to production. Let's break down some key concepts: Just like in Git, branches in Nessie allow you to work on different data engineering tasks concurrently. For example, you might have a branch for feature development, data cleaning and data transformation. Each branch can have its own set of data changes. Branches: In Nessie, a commit represents a snapshot of the data at a specific point in time. When you make changes to your data, you create a new commit, which records those changes. Commits are linked to a specific branch. When you need to revert your data to a stable or known-good state, Nessie makes it easy to select a specific commit and roll back to that data version. This ensures data quality and consistency. Commits: : Nessie allows you to merge the changes from one branch into another. This is similar to merging code changes in Git. When you merge a branch, the data changes made in that branch become part of the target branch. Merges The Components is a distributed analytics engine that operates as an open-source platform, offering an intuitive self-service interface for data exploration, transformation and collaborative work. Its design is grounded in a high-speed columnar memory format. Dremio Apache Arrow, We’ve already explored how to deploy Dremio with Kubernetes, and also how to . For additional information about Dremio, consult . query Iceberg tables on MinIO with Dremio Dremio Resources is high-performance object storage. Renowned for its exceptional and , MinIO serves as a pivotal component in building and maintaining modern data lake infrastructures. MinIO empowers architects to efficiently manage and store massive volumes of data on-prem, on bare metal, on the edge, or on any of the public clouds. MinIO speed scalability is an open table format suited for managing large volumes of data in data lakes. Unique features like time travel, dynamic schema evolution, and Partition Evolution make it a game-changer, allowing query engines to work concurrently on the same data safely and efficiently. See for more information about Iceberg features. Apache Iceberg MinIO The Definitive Guide to Lakehouse Architecture with Iceberg and Getting Started You’ll need the and for this tutorial. The easiest way to get both if you don’t already have them is to install Docker Desktop. Docker Engine Docker Compose This part of the tutorial is based on Dremio’s . You can get the repo for this project . blog post here To begin, open a terminal and navigate to the folder where you cloned/downloaded the repo, and run the command below to start up Dremio. docker-compose up dremio Wait a few moments and then navigate to to access Dremio. Update the requested fields and then click Next. http://localhost:9047 Next, run the following command to start MinIO. docker-compose up minio The final command below will start up Nessie. docker-compose up docker-compose up nessie Navigate to to log in to MinIO with the username and password of . You’ll be prompted to create a bucket. http://localhost:9001 minioadmin:minioadmin Make one named . iceberg-datalake Then head back over to Dremio at and click on Add Source and select Nessie. http://localhost:9047 Set the Name to nessie Set the endpoint URL to http://nessie:19120/api/v2 Set the authentication to none Don’t click Save yet. Instead, in the navigation panel on the left, click Storage. MinIO is S3-API compatible object storage and can use the same connection pathways as AWS S3. For your access key, set minioadmin For your secret key, set minioadmin Set root path to /iceberg-datalake Scroll down for the next set of instructions. Click on the button under to create and configure the following properties. Add Property Connection Properties to fs.s3a.path.style.access true to fs.s3a.endpoint minio:9000 to dremio.s3.compat true Uncheck Encrypt connection Then click Save. You should now see Nessie Catalogs in your data sources. Create a Data Source In Dremio navigate to SQL Runner on the left-hand side. Make sure that in the upper right area of the text editor is set to our Nessie source. Otherwise, you will have to reference the context like instead of just to run this query. Copy and paste the SQL below and run. Context nessie.SalesData SalesData CREATE TABLE SalesData (
    id INT,
    product_name VARCHAR,
    sales_amount DECIMAL,
    transaction_date DATE
) PARTITION BY (transaction_date); Run the query below to insert data into the table you just created. INSERT INTO SalesData (id, product_name, sales_amount, transaction_date)
VALUES
    (1, 'ProductA', 1500.00, '2023-10-15'),
    (2, 'ProductB', 2000.00, '2023-10-15'),
    (3, 'ProductA', 1200.00, '2023-10-16'),
    (4, 'ProductC', 1800.00, '2023-10-16'),
    (5, 'ProductB', 2200.00, '2023-10-17'); Navigate back to MinIO to see that your data lake has been populated with the Iceberg tables. Branching and Merging with Nessie Return to Dremio at . Begin by querying a table on the main branch using the syntax: http://localhost:9047 AT BRANCH SELECT * FROM  nessie.SalesData AT BRANCH main; Create an ETL (Extract Transform and Load) branch to allow you to play around with and transform data without impacting production. CREATE BRANCH etl_06092023 in nessie Within the ETL branch, insert new data into the table: USE BRANCH etl_06092023 in nessie;
INSERT INTO nessie.SalesData (id, product_name, sales_amount, transaction_date) VALUES
(6, 'ProductC', 1400.00, '2023-10-18'); Confirm the immediate availability of the new data within the ETL branch: SELECT * FROM nessie.SalesData AT BRANCH etl_06092023; Note the isolation of changes from users on the main branch: SELECT * FROM nessie.SalesData AT BRANCH main; Merge the changes from the ETL branch back into the main branch: MERGE BRANCH etl_06092023 INTO main in nessie; Select the main branch again to see that the changes have indeed been merged. SELECT * FROM nessie.SalesData AT BRANCH main This branching strategy enables data engineers to independently handle numerous transactions across multiple tables. When they are ready, data engineers can merge these transactions into a single, comprehensive multi-table transaction within the main branch. Conclusion This blog post delved into the power of Git-like version control in data engineering, emphasizing how seamlessly manages data versions, branches and merges. This step-by-step guide demonstrates how Nessie, in collaboration with Dremio and MinIO, as the object storage foundation, enhances data quality and collaboration in data engineering workflows. Nessie Let us know what your data lakehouse looks like at or on . hello@minio.io our Slack channel Also appears . here

Data Lake Mysteries Revealed: Nessie, Dremio, and MinIO Make Waves

ডেটা লেক রহস্য প্রকাশিত হয়েছে: নেসি, ড্রেমিও এবং মিনিও মেক ওয়েভস

Data-Lake-Rätsel aufgedeckt: Nessie, Dremio und MinIO sorgen für Aufsehen

Misterios del lago de datos revelados: Nessie, Dremio y MinIO hacen olas

Les mystères du Data Lake révélés : Nessie, Dremio et MinIO font des vagues

डेटा लेक रहस्य का खुलासा: नेस्सी, ड्रेमियो और मिनिओ मेक वेव्स

データレイクの謎が明らかに: Nessie、Dremio、MinIO が波紋を起こす

데이터 레이크의 미스터리 공개: Nessie, Dremio 및 MinIO가 물결을 일으키다

Mistérios do Data Lake revelados: Nessie, Dremio e MinIO fazem ondas

Тайны озера данных раскрыты: Несси, Дремио и MinIO вызывают фурор

Data Lake'in Gizemleri Ortaya Çıktı: Nessie, Dremio ve MinIO Dalga Yaratıyor

Những bí ẩn về hồ dữ liệu được tiết lộ: Nessie, Dremio và MinIO tạo nên làn sóng

数据湖谜团揭开：Nessie、Dremio 和 MinIO 掀起波澜

FTC v. Amazon Court Filing, retrieved on Sep 26, 2023, is part of . You can jump to any part in this filing . This is part 60 of 80. HackerNoon’s Legal PDF Series here COUNT IV: UNFAIR METHOD OF COMPETITION (15 U.S.C. § 45(a)) 457. Plaintiff FTC re-alleges and incorporates by reference the allegations in paragraphs 1-456 above. 458. Amazon has engaged in an unfair method of competition, called Project Nessie, that (redacted) 459. Amazon designed and used its Project Nessie pricing system (redacted) 460. Amazon’s Project Nessie pricing system (redacted) 461 (Redacted) 462. Amazon’s use of its Project Nessie pricing system is an unfair method of competition in violation of Section 5(a) of the FTC Act, 15 U.S.C. § 45(a). 463. There is no valid and cognizable justification for Amazon’s use of Project Nessie. Continue Reading . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case 2:23-cv-01495 retrieved on October 2, 2023, from is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. ftc.gov

How Amazon's Project Nessie Supports Its Anti-Competitive Tactics

What to Do While I Wait for Claude

Numerous economists in history have believed that money works best when it arises naturally through trade—not when it’s forced on people by governments. Also, fiat money (paper money) would be something to be suspicious of, according to them. Does it sound a bit cryptocurrency-like? You wouldn’t be wrong about that. Many of those economists belong to Austrian Economics: a school of thought that highlights personal freedom, market-driven decision-making, and the risks of too much government interference in the economy. It started in the late 1800s with the works of several economists, including Carl Menger, Eugen von Böhm-Bawerk, and Friedrich von Wieser. However, it gained momentum through well-known figures like Ludwig von Mises and Friedrich Hayek. These tinkers promoted free markets, individual choice, sound money, subjective value, and minimal government in shaping economies and monetary systems. Fast forward to today, and we see similar themes popping up in the world of cryptocurrency. These tinkers promoted free markets, individual choice, sound money, subjective value, and minimal government in shaping economies and monetary systems. Digital currencies like Bitcoin and Obyte challenge the idea of central control, support free-market rules, and give users more autonomy. Some crypto enthusiasts embrace Austrian principles, while many professional economists from that school remain cautious. Common points are too many to ignore, though. Against Inflation & Central Banks One big overlap between Austrian Economics and crypto is their shared concern about inflation and central banks. Austrian economists argue that central banks—like the U.S. Federal Reserve or the European Central Bank—distort the economy by printing money and manipulating interest rates, creating unsustainable booms and painful busts. This idea comes from thinkers like Mises and Murray Rothbard, who were critical of fiat money and fractional-reserve banking. were critical were critical Fiat money is currency created and controlled by governments, with no backing from physical goods like gold. It can lead to hidden wealth loss through inflation, benefit those who get the new money first, and encourage reckless spending and borrowing. Over time, this can cause financial crises, widen inequality, and weaken economic freedom, since the system depends on trust rather than real value. It can lead to hidden wealth loss through inflation, benefit those who get the new money first, and encourage reckless spending and borrowing. One of those financial crises prompted the creation of Bitcoin, by the way. This currency was born in response to the 2008 financial calamity and has a hard cap of 21 million coins. That fixed supply makes it resistant to inflation and gives it a kind of "digital gold" status. People who worry about the long-term value of government currencies are drawn to this scarcity. And their concerns aren’t just academic—hyperinflation in places like Venezuela and Zimbabwe shows how badly things can go when governments mismanage money. In this context, cryptocurrencies look like a safety net against monetary chaos. hyperinflation hyperinflation Self-Sovereignty & Free Market This financial school of thought also emphasizes the idea that individuals—not governments—should make economic decisions. Said concept, called methodological individualism, values personal choice and decentralization, which are also key features of most cryptocurrencies. They let people hold and transfer money without relying on banks or government permission —if you own your private keys, nobody can take away your coins, at least not remotely, like freezing or blocking your accounts. private keys private keys Besides, Austrian economists emphasize voluntary exchange and minimal interference in trade. According to this view, when people are free to make decisions without central planning, markets naturally organize and balance themselves over time. This belief in spontaneous order rejects the idea that governments or central banks should control economic activity. Instead, Austrians argue that innovation, pricing, and investment work best when driven by individual choices in a competitive environment. This belief in spontaneous order rejects the idea that governments or central banks should control economic activity. Similarly, many cryptocurrency platforms—especially in decentralized finance (DeFi)—run on open-access systems. These networks allow anyone with an Internet connection to participate, without asking for approval from banks or regulators. This openness mirrors the Austrian preference for economic freedom and individual action. Denationalization of Money In 1976, Friedrich Hayek published The Denationalisation of Money, where he imagined a future with private, competing currencies. He argued that taking money out of the government's hands would improve its quality through market competition. This idea rings true for many in the crypto space and has been an inspiration in the industry since the beginning. The Denationalisation of Money He argued He argued Bitcoin and similar projects are digital currencies created outside state control, competing in the free market just like Hayek imagined. Hayek and Mises both supported the idea that order in markets emerges naturally when people are free to choose. You can see this in the world of decentralized finance (DeFi), where platforms like Ethereum or Obyte let users experiment with new financial tools and currencies. Bitcoin and similar projects are digital currencies created outside state control, competing in the free market just like Hayek imagined. These platforms make it possible to code your own financial rules and create new kinds of digital value—no need for central banks or regulators to step in. This do-it-yourself spirit lines up nicely with Austrian ideas of spontaneous order and innovation through competition. Objections by Austrian Economists Still, not everyone in the Austrian camp is sold on crypto. A big concern comes from Mises’ “regression theorem,” which says that money has to start as a widely used commodity. Some Austrian economists argue that cryptocurrencies don’t fit the bill—they didn’t grow out of barter or have any previous real-world use, so they wouldn’t meet the historical criteria for money. The Mises Institute has published several critiques, including “The Money-ness of Bitcoins” and “Bitcoin: Money of the Future or Old-Fashioned Bubble?.” More recently, in 2024, they accepted that “Bitcoin has also become much more widely used as a medium of exchange, but it is not yet money.”  They claim Bitcoin (or cryptos, by extension) isn’t money because it’s not yet widely or universally accepted for everyday exchanges. People often need to convert it to traditional currencies to buy things, and using it still involves finding others who accept it. That’s broadly debatable, though. The Money-ness of Bitcoins The Money-ness of Bitcoins Bitcoin: Money of the Future or Old-Fashioned Bubble? Bitcoin: Money of the Future or Old-Fashioned Bubble? they accepted they accepted They claim Bitcoin (or cryptos, by extension) isn’t money because it’s not yet widely or universally accepted for everyday exchanges. We can perfectly argue that you can’t use gold to pay for a coffee, or Indian rupees outside India —not without exchanging them. These mediums of exchange need to be accepted by others, too, and it’s highly unlikely that a Starbucks cashier will receive a gram of gold or a banknote from India outside India. Indeed, it’s more probable that they accept some kind of crypto, instead. Moreover, if Austrians believe that value is subjective, then early Bitcoin users valuing it for its security, scarcity, or utility might be enough to explain its rise. Also, today’s fiat money isn’t commodity-backed either—it’s valuable because people accept it, not because it’s tied to gold or any other commodity. We can see some mixed opinions here, then. Moreover, if Austrians believe that value is subjective, then early Bitcoin users valuing it for its security, scarcity, or utility might be enough to explain its rise. A Way to Create Free Money Bitcoin, specifically, may appeal to many supporters of Austrian Economics, but it's not without its critics. Some Austrians point out that Bitcoin mining uses large amounts of energy, potentially distorting the market through subsidies or unsustainable practices. Others note its growing reliance on centralized actors—like large mining pools and exchanges—which can clash with the Austrian focus on decentralized, individual action. Plus, since Bitcoin isn’t backed by a physical commodity, it doesn’t fully satisfy traditional Austrian preferences for hard money. point out point out That said, other crypto networks offer alternative approaches that more clearly align with Austrian ideas. Obyte could be one of them. This is a decentralized, open platform without middlemen (miners or “validators”), structured as a Directed Acyclic Graph (DAG), in which transactions are added to the DAG only by its users. Obyte Obyte Besides its native currency (GBYTE), anyone can create and exchange custom digital assets here. Unlike Bitcoin, Obyte supports tokenized commodities—meaning you can back your digital money with real-world goods. A great case in point is Aufort, a European company that uses Obyte to tokenize gold, bringing back the idea of commodity-backed currency in a digital form. custom digital assets custom digital assets Unlike Bitcoin, Obyte supports tokenized commodities—meaning you can back your digital money with real-world goods. Aufort Aufort Obyte also offers a high degree of flexibility. It doesn’t lock users into one model—instead, it lets people and markets decide what counts as money. Because Obyte allows anyone to design tokens for specific uses, it embraces the Austrian view that economic activity begins with human action. In a world that’s increasingly skeptical of fiat money, platforms like this one may offer a more welcoming and Austrian-style path forward for crypto enthusiasts. Featured Vector Image by pikisuperstar / Freepik Featured Vector Image by pikisuperstar / Freepik Freepik Freepik

Austrian Economics and Cryptocurrencies: Against Fiat and Centralization

অস্ট্রিয়ার অর্থনীতি এবং ক্রিপ্টোকারেন্সি: ফাইটি এবং কেন্দ্রীয়তার বিরুদ্ধে

Economía y criptomonedas austriacas: contra la fiat y la centralización

Austrijska ekonomija i kriptovalute: protiv fiata i centralizacije

Otrich Ekonomik ak Cryptocurrencies: Contre fiat ak santralizasyon

オーストリア経済と暗号通貨:フィアットと集中化に反対

Ekolali ya Austria na Cryptocurrencies: Ekolali ya Fiat na Centralization

Ny toekarena Aostralia sy ny Cryptocurrencies: Manohitra ny fiat sy ny centralization

Austriacka gospodarka i kryptowaluty: przeciwko fiatowi i centralizacji

د استرالیا اقتصاد او Cryptocurrencies: د فایټ او مرکزي ضد

ඔස්ට් රේලියාවේ ආර්ථිකය සහ ක් රිප්ටොක්රොයිට්: FIAT සහ මධ්යස්ථානය විරුද්ධව

Австрійська економіка і криптовалюти: проти Fiat і централізації

I-Austria Economy ne-Cryptocurrencies: Ngaphandle kwe-Fiat ne-Centralization

Expert Insight on How AI Cloud-Native MFT Platforms Are Empowering Businesses

AI-powered financial risk models have prevented over $1 billion in fraud, but do AI models match human expertise? AI-powered financial risk models have prevented over $1 billion in fraud, but do AI models match human expertise? Financial crime and banking fraud are always evolving, with fraudsters constantly finding new ways to outsmart financial institutions and slip past regulations. Traditional investigating methods to mitigate crime require sifting through endless spreadsheets and transaction records—a labor-intensive process that is often prone to human error. Now, with the rise of agentic artificial intelligence (AI), banks are looking to turn the tide, using smart automation to detect threats more accurately than ever before. In addition to adding a more personalized service, the ability to predict trends, and an overall flashy customer experience, AI and machine learning (ML) are also a “prime application” for fraud detection. “AI algorithms can identify suspicious activities with unparalleled accuracy and speed,” according to a blog post by William Harmony, financial practice lead at compliance and risk management company Founder Shield. Unlike conventional AI chatbots that require investigators to ask the right questions, AI agents autonomously collect evidence and recommend decisions. For instance, Oracle’s agentic AI solutions have enabled a 40% increase in the detection of suspicious activity. Likewise, Bayern-based Hawk AI’s technology claims it has allowed financial institutions to lower false positive rates by 70 percent, enabling investigators to focus on genuine threats rather than unnecessary alerts. agentic AI solutions agentic AI solutions false positive rates by 70 percent false positive rates by 70 percent Yet, while AI has become an indispensable tool in fraud detection and anti-money laundering (AML) efforts, it is only as effective as the data it’s trained on. Joe Biddle, UK market director at Trapets, cautions that an over-reliance on AI could lead to a dangerous false sense of security. The company operates at a midway point between traditional manual processes and only AI. “We don’t (currently) have AI models that can detect novel threats that aren’t part of their training data. Criminals would inevitably develop new tactics that fall outside its scope,” Biddle told me. “If we were to rely solely on AI for financial crime prevention, we’d have to constantly retrain these systems just to keep up. Even then, AI models operate based on patterns, meaning they might miss outlier cases or subtle threats that a human investigator would catch.” The Good and Bad of AI in Financial Crime Prevention Between 2023 and 2024, the U.S. Treasury successfully prevented over $1 billion in check fraud by utilizing AI-powered risk models. AI is also providing efficiency gains, as Oracle promises between $600 million to $1 billion in investigative cost savings, with robust risk mitigation. U.S. Treasury U.S. Treasury $600 million to $1 billion $600 million to $1 billion However, many AI models lack transparency and operate as "black boxes," making it difficult for institutions to explain to regulatory bodies or audit how compliance-related decisions were made. “Financial crime experts can look closely at things like criminal motives, global economic shifts, geopolitical risks, and so on, to analyze trends and predict emerging threats. AI doesn’t have this level of insight,” argues Biddle. “If banks become over reliant on AI, it can create huge issues when it comes to compliance, since regulators need to see clear reasoning for every action a bank takes.” Additionally, as AI-driven frameworks become more prevalent, human investigators could lose their ability to independently recognize fraudulent behavior, creating a long-term knowledge gap. “A sensible starting point lies with high-performing employees with a strong mastery of cross-functional processes. These individuals can use these to create pilot projects that allow AI agents to learn how to handle complex organizational workflows and the tasks within that deliver toward the set goals,” explained Mahesh Raja, Chief Growth Officer at Ness Digital Engineering. explained explained “AI simply follows pre-established 'rules’ based on the data it was trained on, so it is unable to explain each factor that led to its ultimate decision, which is important for regulators. So if an AI flags a transaction as suspicious, a human reviewer might not always be able to see the full logic chain behind it,” Biddle told me. “It's critical to have humans in the loop at every stage of the process.” Financial Institutions Must Stay Smarter Than Their AI Biddle emphasizes that AI should serve as an enhancement to human expertise rather than a complete replacement. "Institutions should have the expertise to be able to critically evaluate the AI’s decisions instead of being satisfied by its confident responses. Ultimately, AI should be an extra layer of protection in the fight against financial crime, not the entire defense," Biddle emphasized. "It’s ensuring that institutions don’t become so reliant on it that they lose sight of the bigger picture." Keeping a close eye on compliance in a fast-evolving sector is also important, according to Ruban Phukan, CEO at GoodGist, a no-code platform that uses Agentic AI for workplace productivity. “AI is here, and it’s evolving fast. With the rise of generative AI (genAI), it’s critical that financial institutions continually update their compliance frameworks—not only to stay ahead of regulatory shifts but to clearly track and explain how their AI systems operate," Phukan told me. "For example, ensuring chatbot responses are accurate and legally sound means banks must review the language models being trained, and implement guidelines on how AI-generated content is communicated to clients." For his part, Biddle asserts that financial institutions need to stay one step ahead by continuously updating AI defenses and ensuring human oversight remains in place. “The best approach is to adopt a hybrid model that combines traditional rules-based systems with AI tools – and always with strong human oversight. Any AI model used by banks should be continuously tested, refined, and most importantly, guided by human input,” Biddle added.  “Bank’s risk and compliance teams should be trained in AI, or better yet, have AI experts embedded within them, so they understand how these models work and where they might fail.”

AI Agents in Finance: Game-Changer or a Risky Gamble?

Mindeye2: References You Should Check Out

Analyzing the Impact of Model Scaling on Long-Form Factuality

The Holonym Foundation has acquired Gitcoin Passport, a widely adopted digital identity verification tool, in a move that aims to establish the world’s largest Proof of Humanity system. The acquisition will integrate Gitcoin Passport’s existing two million users with Holonym’s Human Network and Human Key technology, creating a platform that is expected to generate over 34.5 million zero-knowledge (ZK) credentials. The deal includes a rebranding of Gitcoin Passport as Human Passport, a transition intended to align with Holonym’s broader vision of privacy-preserving digital identity. The combined system will operate as a Proof of Humanity protocol designed to verify identities while protecting users' personal data. Implications for Digital Identity and Web3 The acquisition highlights the growing importance of decentralized identity verification in Web3. Digital identity has become a critical issue in blockchain-based applications, particularly in areas such as Sybil resistance, fair token distributions, and online authentication. Gitcoin Passport has been instrumental in verifying users’ “human-ness” in a privacy-conscious manner, securing over $200 million in airdrops and serving as an identity provider for more than 110 partners across various blockchain ecosystems. Holonym’s decision to integrate Gitcoin Passport into its ecosystem is part of a broader push to establish identity solutions that do not rely on traditional, centralized institutions. The incorporation of zero-knowledge proofs into Human Passport enhances user privacy by enabling authentication without exposing sensitive personal information. A Competitive Landscape The acquisition positions Holonym as a direct competitor to existing identity verification projects such as Worldcoin. While Worldcoin has sought to establish a global identity solution through biometric scanning, Holonym’s approach emphasizes cryptographic proofs and privacy-focused mechanisms. The scale of the planned Human Passport system—aiming to generate three times more identity proofs than Worldcoin—suggests an alternative vision for the future of digital identity. Kevin Owocki, the founder of Gitcoin Passport, noted that the transition to Human Passport aligns with the original mission of enabling individuals to control and verify their online identity while maintaining privacy. Shady El Damaty, CEO of Holonym Foundation, framed the integration as a significant step toward advancing digital human rights and self-sovereign identity. Challenges and Considerations Despite the advantages of cryptographic identity solutions, challenges remain. Adoption of decentralized identity tools often depends on network effects, regulatory acceptance, and ease of integration with existing platforms. Privacy-focused identity solutions also face scrutiny regarding their resilience against fraudulent claims and their ability to scale securely. Additionally, the balance between verifiable identity and anonymity presents ongoing technical and ethical considerations. While zero-knowledge proofs offer privacy advantages, widespread reliance on cryptographic identity tools raises concerns about access barriers and user education. Future Outlook The integration of Gitcoin Passport into Holonym’s ecosystem reflects a broader trend in blockchain toward privacy-centric identity verification. The success of the initiative will depend on the adoption of Human Passport within the Web3 community and its ability to provide a scalable, secure, and efficient Proof of Humanity framework. With decentralized identity becoming an increasingly important component of Web3 infrastructure, the competition between different Proof of Humanity solutions will likely shape the direction of digital identity standards in the coming years. Whether Holonym’s approach gains traction over alternatives such as biometric-based verification remains to be seen, but the acquisition marks a notable development in the evolving landscape of online identity verification. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR The Holonym Foundation has acquired Gitcoin Passport, a widely adopted digital identity verification tool, in a move that aims to establish the world’s largest Proof of Humanity system. The acquisition will integrate Gitcoin Passport’s existing two million users with Holonym’s Human Network and Human Key technology, creating a platform that is expected to generate over 34.5 million zero-knowledge (ZK) credentials. Holonym Foundation The deal includes a rebranding of Gitcoin Passport as Human Passport, a transition intended to align with Holonym’s broader vision of privacy-preserving digital identity. The combined system will operate as a Proof of Humanity protocol designed to verify identities while protecting users' personal data. Implications for Digital Identity and Web3 Implications for Digital Identity and Web3 The acquisition highlights the growing importance of decentralized identity verification in Web3. Digital identity has become a critical issue in blockchain-based applications, particularly in areas such as Sybil resistance, fair token distributions, and online authentication. Gitcoin Passport has been instrumental in verifying users’ “human-ness” in a privacy-conscious manner, securing over $200 million in airdrops and serving as an identity provider for more than 110 partners across various blockchain ecosystems. Holonym’s decision to integrate Gitcoin Passport into its ecosystem is part of a broader push to establish identity solutions that do not rely on traditional, centralized institutions. The incorporation of zero-knowledge proofs into Human Passport enhances user privacy by enabling authentication without exposing sensitive personal information. A Competitive Landscape A Competitive Landscape The acquisition positions Holonym as a direct competitor to existing identity verification projects such as Worldcoin. While Worldcoin has sought to establish a global identity solution through biometric scanning, Holonym’s approach emphasizes cryptographic proofs and privacy-focused mechanisms. The scale of the planned Human Passport system—aiming to generate three times more identity proofs than Worldcoin—suggests an alternative vision for the future of digital identity. Kevin Owocki, the founder of Gitcoin Passport, noted that the transition to Human Passport aligns with the original mission of enabling individuals to control and verify their online identity while maintaining privacy. Shady El Damaty, CEO of Holonym Foundation, framed the integration as a significant step toward advancing digital human rights and self-sovereign identity. Challenges and Considerations Challenges and Considerations Despite the advantages of cryptographic identity solutions, challenges remain. Adoption of decentralized identity tools often depends on network effects, regulatory acceptance, and ease of integration with existing platforms. Privacy-focused identity solutions also face scrutiny regarding their resilience against fraudulent claims and their ability to scale securely. Additionally, the balance between verifiable identity and anonymity presents ongoing technical and ethical considerations. While zero-knowledge proofs offer privacy advantages, widespread reliance on cryptographic identity tools raises concerns about access barriers and user education. Future Outlook Future Outlook The integration of Gitcoin Passport into Holonym’s ecosystem reflects a broader trend in blockchain toward privacy-centric identity verification. The success of the initiative will depend on the adoption of Human Passport within the Web3 community and its ability to provide a scalable, secure, and efficient Proof of Humanity framework. With decentralized identity becoming an increasingly important component of Web3 infrastructure, the competition between different Proof of Humanity solutions will likely shape the direction of digital identity standards in the coming years. Whether Holonym’s approach gains traction over alternatives such as biometric-based verification remains to be seen, but the acquisition marks a notable development in the evolving landscape of online identity verification. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: business blogging program business blogging program

Holonym Acquires Gitcoin Passport to Build the World’s Largest Proof of Humanity Network

Holonym, dünyanın ən böyük bəşəriyyət sübutu şəbəkəsini qurmaq üçün Gitcoin pasportunu alır

Holonym adquiere Gitcoin Passport para construir la red de prueba de humanidad más grande del mundo

Holonym hankki Gitcoin-passin rakentaakseen maailman suurimman ihmisyyden todisteverkoston

ホロニムがGitcoin Passportを買収し、世界最大のProof of Humanityネットワークを構築

Holonym әлемдегі ең үлкен адамзат желісін құру үшін Gitcoin төлқұжатын алады

Nahazo pasipaoro Gitcoin ny Holonym mba hananganana tambajotra porofo lehibe indrindra eran-tany momba ny maha-olombelona

هولونم د نړۍ ترټولو لوی د انسانیت ثبوت شبکې جوړولو لپاره د ګیټ کوین پاسپورټ ترلاسه کړ

ලොව විශාලතම මනුෂ්‍යත්වය පිළිබඳ සාක්ෂි ජාලය ගොඩනැගීම සඳහා හොලොනිම් Gitcoin විදේශ ගමන් බලපත්‍රය ලබා ගනී.

Holonym merr pasaportën Gitcoin për të ndërtuar rrjetin më të madh të provës njerëzore në botë

உலகின் மிகப்பெரிய மனிதநேயச் சான்று வலையமைப்பை உருவாக்க ஹோலோனிம் கிட்காயின் பாஸ்போர்ட்டைப் பெறுகிறது.

Holonym барои сохтани бузургтарин далели шабакаи башарият дар ҷаҳон шиносномаи Gitcoin-ро ба даст меорад

Nakuha ng Holonym ang Gitcoin Passport para Buuin ang Pinakamalaking Patunay ng Humanity Network sa Mundo

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