The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Download Delta Lake to add reliable ACID transactions, scalable metadata handling, and unified batch and streaming workflows to your data lake. Build versioned tables, enforce schemas, and power ...

Data & MLOps Engineer building scalable ML systems. Passionate about cloud, data platforms, and responsible AI. I have deployed Kafka pipelines that ran cleanly in staging for two weeks. No lag. No ...

Sr Data Engineer with our 17 years of experience. Provided ETL solutions for Media , Banking , Healthcare clients. Every day, media use is growing at an unimaginable rate and generating huge amounts ...

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data faster. The Indexing and retrievals are way faster 10-40X faster in most ...

Managing a modern enterprise data landscape in 2026 is a lot like running a high-speed, global railway network. You have massive freight trains of legacy data leaving on-premise servers in Mumbai, ...

Data lakes are essential parts of AI infrastructure, allowing companies to manage and store data on a scale necessary to fuel data-intensive AI models This week's list shines a light on the companies ...

This is a multi-part (free) workshop featuring Azure Databricks. It covers basics of working with Azure Data Services from Spark on Databricks with Chicago crimes public dataset, followed by an end-to ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

The data industry has arrived at a pivotal juncture that echoes the themes we’ve charted in previous Breaking Analysis episodes, from The Sixth Data Platform through The Yellow Brick Road to Agentic ...

Apache Iceberg's table format is ideal for large data lakes and integrates easily with Spark, Flink, Hive, Presto, and more. Utilize Apache Iceberg to efficiently manage large data lakes at Netflix.