With the new release, Oracle is expanding the appeal of the autonomous data warehouse to add end-to-end self-service experiences geared for business users.

At Ignite, Microsoft enhances its cloud database, warehouse and lake services Microsoft unveils new capabilities within Azure Synapse Analytics, Cosmos DB, and its stable of open source databases.

Database virtualization should be viewed as a critical weapon in the IT leader’s quiver to attack migration challenges when an efficient way to migrate data to the cloud is called for.

Databricks, a San Francisco-based company that combines data warehouse and data lake technology for enterprises, said yesterday it set a world record for data warehouse performance.

To build a data warehouse, data must first be extracted and transformed from an organization’s various sources. Then, the data must be loaded into the database in a structured format. Finally, an ETL ...

Here, we've split the most important discrepancies between database and data warehouse so you can highlight all aspects and select the one that meets the requirements of your data structure situation.

Data warehousing is alive, but perhaps not alive and well. Legacy data warehouses must modernize to fit gracefully into modern analytics ecosystems. They play an important role in data management as ...

Oracle Data Warehouse and Amazon Redshift are popular data warehousing solutions. Read this feature comparison.

Data lakehouse architecture combines the best of cloud data lake and warehousing architectures to give teams the most recent data.

As companies embrace digital trans­formation across the enterprise, it is data and the effective use of it that determines whether new technologies such as AI, auto­mation, and analytics will be ...

Data quality is paramount in data warehouses, but data quality practices are often overlooked during the development process.