Learn how to overcome outdated data challenges and build a data lake designed for the GenAI and machine learning era.| Git for Data - lakeFS
What is the difference between lakeFS and open table formats (OTF), namely Apache Iceberg, DeltaLake and Apache Hudi.| Git for Data - lakeFS
Explore 6 types of metadata with examples, tools, and frameworks to boost data discovery, governance, quality, and collaboration.| Git for Data - lakeFS
Explore how to achieve effective AI metadata management with lakeFS. Learn best practices and real-world use cases to simplify metadata handling.| Git for Data - lakeFS
Explore the top 12 data science tools in 2025, featuring Python, Power BI, TensorFlow and find out how these tools can help you expedite your AI/ML projects.| Git for Data - lakeFS
Learn what a data quality framework is, why it matters, and how to implement it to ensure accurate, reliable, and trustworthy data for your business.| Git for Data - lakeFS
In the annual State of Data Engineering 2024, we explore three defining trends in this space. Find out the results in this year's report.| Git for Data - lakeFS
Discover what data discovery is, how it works, its benefits, challenges, and best practices to turn raw data into strategic, actionable insights.| Git for Data - lakeFS
Explore 5 defining trends in the annual State of Data and AI Engineering 2025 report. Uncover what changed and what's trending this year.| Git for Data - lakeFS
Learn how to achieve lineage quickly at minimum cost, using data version control concepts you are already familiar with from managing code.| Git for Data - lakeFS
AI data storage solutions are a key component of the modern AI landscape. Discover benefits, common challenges, and best practices. Read more| Git for Data - lakeFS
What is metadata? Why is it so important? Keep reading to learn more about modern practices in metadata management.| Git for Data - lakeFS
Discover top Jupyter Notebook alternatives for 2025. Find the best tools for collaboration, data visualization, and seamless integration.| Git for Data - lakeFS
Explore the top data version control tools (DVC tools) that data practitioners use to solve their data challenges in 2025.| Git for Data - lakeFS
Explore data version control best practices, from picking the right data versioning tool to smart management of data and version expiration.| Git for Data - lakeFS
Learn how to get started with data lake implementation. Explore the essentials to enhance your data management strategies.| Git for Data - lakeFS
Discover the key elements of ML architecture and their representation in the form of a machine learning architecture diagram| Git for Data - lakeFS
Learn more about Databricks architecture and how it can help your team harness the potential of data in your organization.| Git for Data - lakeFS
Get a primer on machine learning architecture and see how it enables teams to build strong, efficient, and scalable ML systems.| Git for Data - lakeFS
Discover best practices for preparing machine learning data. Learn how to optimize your ML projects with effective data preparation techniques.| Git for Data - lakeFS
Databricks SQL: A tool for data analysis & collaboration. Explore its features, BI integrations, & optimization techniques.| Git for Data - lakeFS
Data scientist, ML engineer, or AI enthusiast? This guide teaches you to harness parallel ML effectively in 2025| Git for Data - lakeFS
Learn about lakeFS’s garbage collection capabilities, designed to handle large-scale data environments and keep your data lake clean and organized.| Git for Data - lakeFS
lakeFS now supports the ability to locally checkout paths from your repository for flexible and scalable data version control.| Git for Data - lakeFS