Ingesting large volumes of disparate data can yield a rich source of information — but it’s also a recipe for data chaos. Use these tips to improve data quality as your data lake grows. For as long as ...

AI and data analytics company Databricks today announced the launch of SQL Analytics, a new service that makes it easier for data analysts to run their standard SQL queries directly on data lakes. And ...

Databricks is open sourcing Delta Lake to counter criticism from rivals and take on Apache Iceberg as well as data warehouse products from Snowflake, Starburst, Dremio, Google Cloud, AWS, Oracle and ...

Having a unified data platform not only minimizes costs, but also enhances scalability, governance, security and performance, because data engineers, analysts and scientists — using different ...

At the Databricks Data + AI Summit this week the company expanded its contributions to the Delta Lake initiative, as well as unleashing a wave of new data lakehouse, machine learning and data ...

Generative AI is playing an outsized role in a slew of new technology unveilings, including LakehouseIQ and Lakehouse AI, at the Databricks’ Data + AI Summit this week. Databricks co-founder and CEO ...

Data lakes have become a critical solution for enterprises to store and analyze data. A cloud data lake solution offers a number of benefits that make it an ideal tool for managing and processing data ...

See whether Databricks or Snowflake is the better ETL tool for you using our comprehensive guide to compare their features, pricing and more. With more and more solutions entering the enterprise ...

Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...