Data Warehousing | News, how-tos, features, reviews, and videos
The integration of its existing products such as Synapse and Power BI will help enterprises combine workloads while reducing IT integration overhead, complexity and costs.
Empowering data-driven organizations requires the right tools and practices—and a boss who gets it. Here's how to explain critical data concepts to your CEO.
The new industry-specific lakehouse could help Databricks increase lakehouse adoption, according to analysts.
The cloud data warehouse firm has launched yet another industry-specific product, this time aimed at helping companies in the telecom sector to manage their data.
The data warehousing company wants to help enterprises apply time series forecasting to their data to generate future predictions as an aid to strategic decision making.
The San Francisco-based startup has released a SQL-based, self-orchestrating data pipeline platform, claiming it will go to go toe-to-toe with Databricks’ Delta Live Tables.
The new lakehouse service, designed to quickly load and query up to 400TB of data, will compete with offerings from Oracle rivals that have also jumped on the lakehouse concept, including Snowflake, Google, AWS and Microsoft Azure.
What you need to know about Google Cloud Next data announcements: BigLake support for Apache Iceberg, Hudi and Delta Lake; BigQuery adds unstructured data, Apache Spark and DataStream support; Looker Studio unifies business intelligence products; 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 HPE.
Snowflake's updates include support for Python on the Snowpark application development system , data access capabilities, and external tables for on-premises storage.