Head of data reliability engineering Dheeraj Puli told the Databricks Data+AI Summit in San Francisco that the bank is standardising on Spark Declarative Pipelines (SDP) across more than 1600 data ...

Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry workaround in a relatable way that acknowledges the pain points experienced ...

An emerging class of data fabrics promises to help automate data integration with and for AI. Bharath Thota, a partner in the Digital & Analytics Practice at Kearney, argues that it might help to ...

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Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

Your browser does not support the audio element. Setting Up the Unity Catalog for Medallion Architecture: We organized our data into bronze, silver, and gold layers ...

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats ...

A library for parsing and querying XML data with Apache Spark, for Spark SQL and DataFrames. The structure and test tools are mostly copied from CSV Data Source for Spark. This package supports to ...

Databricks CEO claims Snowflake is no longer a competitor, reflecting a shift in market dynamics. The company raised $10 billion and is poised for a public offering next year. Databricks’ recent ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...