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Stop pasting CSVs into AI. In this video I show how to connect Claude to Databricks through the Databricks SQL MCP and Unity ...

AI agents are only as good as the data foundation underneath them. In this video, I'll show you how to build an Agentic Analytics ...

In this video we overview how you can bring your own custom Docker container to AI Runtime (AIR) for training ML models. This is ...

In this video we combine two exciting new features in Databricks: AI Runtime (AIR) and Custom LLM Serving. For use cases ...

Databricks job failed or taking too long? Learn how to investigate schema errors, driver and executor out-of-memory failures, and ...

Part 13 of the Data Engineering Architecture Tutorial, in the storage module. What is a data lake? We follow Microsoft's Azure ...

Learn how to load JSON data from a public AWS S3 bucket into Snowflake!** In this hands-on tutorial, I'll demonstrate how to work ...

Which cloud should you learn for data engineering—AWS, Azure, or GCP? In this video, I explain how to choose based on your ...

How Delta Lake works, explained from zero: Parquet files, the transaction log, commits, versions, snapshots and time travel, with a ...

We build one online store's warehouse as we go: a stock table you can't add up across days, a fulfillment row that gets updated in ...

Building real-time analytics is really hard. And not knowing the difference between OLTP and OLAP systems can break your ...

In this video, Mr. K explains the six AWS services that matter most in data engineering, in a simple and beginner-friendly way.

Why do tech giants shift from traditional databases like MySQL to Apache Hive on AWS EMR when handling petabyte-scale data?

You know Spark. You know SQL. You know Databricks and AWS. You answered the technical questions correctly… but you still ...

Part 19 of the Data Engineering Architecture Tutorial, in the storage module. Today we look at the medallion architecture, and at ...

Learn how to answer data engineering system design interview questions with an eight-step framework and a practical ...

Part 14 of the Data Engineering Architecture Tutorial, in the storage module. What does partitioning mean, and what is sharding?

Google Cloud's guide defines MLOps as applying DevOps principles to machine learning systems, adding data and model ...

Want to become a GCP Data Engineer? Join our Live Bootcamp! This is the enrollment link: ...

Your machine learning models are smarter than your customer experiences show. The problem? They are locked away in data ...