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Data engineering

Pipelines, lakehouses, warehouses, streaming and the platforms that move data

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  1. Still Batching Streaming Data into Files? Send Kafka Straight to the Lake with Kafka Connect [OSS Tables Deep Dive]
  2. What The Modern Data Report’s 5 Emerging Trends Mean for the Public Sector
  3. Data Engineering SQL Patterns Part 2: Running Totals
  4. PostgreSQL JSONB: The Feature That Can Save You From Creating 20 Tables
  5. Your DuckDB Flock Deserves A Mother: MotherDuck Now Offers Open Source DuckDB Support
  6. 2026/09/14 - Kaitlyn HenryYour DuckDB Flock Deserves A Mother: MotherDuck Now Offers Open Source DuckDB SupportWe're launching commercial support for open-source DuckDB, so every organization can get the power of a modern data engine, with direct access to database experts.
  7. AIBuilding a Scalable Lakehouse with Apache Iceberg and Snowflake Horizon Catalog
  8. Third-Party Risk Assessments | How Confluent Helps You Move Faster with Confidence
  9. Aiven, Confluent, Redpanda, StreamNative and Ververica Form Streamhouse Working Group
  10. How Brands Are Rethinking Customer Data, and What It Means for Marketers
  11. Snowflake DCM Projects Setup Guide: Database Change Management
  12. Databricks on AWS, Built From Scratch: What the Platform Gets Right
  13. Streamhouse Is Bigger Than Us: Why We're Building the Next Architecture Together
  14. Obsidian Security Named a Databricks Silver Partner — One of Only Two Security Vendors at Silver or Above
  15. Apache Iceberg Python 0.12.0 Release
  16. 9½ Core Skills Every Data Engineer Needs
  17. Databricks Now Has a Governed Semantic Layer. Should It Be Yours?
  18. Databricks Now Has a Governed Semantic Layer. Should It Be Yours?
  19. Coalesce 2.0: The Agentic Data Engineering Platform
  20. Designing a Shared Platform to Serve Competing Institutional Clients Without Cross-Contamination
  21. Sync Your Ometria Contacts Anywhere: Announcing the Integrate.io Ometria Connector
  22. 2026/09/15 - Dumky de WildeDatabase 101: when to choose which databaseSQLite, Postgres, DuckDB and 20 others: they all write, store and read data. The questions you ask every day tell you which one you need.
  23. Scaling ML Model Inference through architectural separation
  24. Apache Flink Kubernetes Operator 1.16.0 Release Announcement

Videos

Podcasts

Recent episodes

  1. The Future of Data Engineering in the Age of AI | Erfan Hesami
  2. Why Enterprise AI Agents Fail Beyond the Model With Databricks
  3. What Context Really Means in Data Engineering and AI
  4. Treat your data pipelines like code, because your agents already do | MotherDuck's Jordan Tigani
  5. #562: DuckLake: The Lakehouse That's Just SQL and Parquet
  6. Why AI Agents Will Break Modern Data Engineering (And How to Fix It) w/ Christophe Blefari (Nao)
  7. Building self-healing Airflow pipelines at ATC Drivetrain
  8. The Rise of Organized Retail Crime at Big Box Stores
  9. Big Tech Laid Him Off. He Realized He Didn’t Need a Job. — Asian Dad Energy
  10. The Return of Conceptual Data Modeling w/ Sami Hero (CEO of Ellie.ai)
  11. NVIDIA's $12.93B Hugging Face Deal, Anthropic's Compute Buildout, and a Blowout AI Earnings Week
  12. #376 Rethinking the Data Stack in the age of AI with Tristan Handy, President of Fivetran + dbt Labs

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