Data warehouse software is essential for companies looking to streamline their data centers or implement business intelligence software. Business intelligence software stores and analyzes huge volumes ...

The extraction of meaningful information from Big Data is a key driver of business growth. For example, the analysis of current and past product and customer data can help organizations anticipate ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Core Integration Partners Inc. on Monday rolled out its ...

Continuing a deluge of announcements clustered around making it easier for enterprises to build artificial intelligence-based agents and applications, Databricks Inc. today is wrapping up its Data+AI ...

Palantir and Snowflake are data warehousing tools that offer unique methods of interacting with large, non-relational data sets. While Palantir uses private operating system models, Snowflake offers a ...

Part 4 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the data warehouse technology and service space. In-House Analytics While some promote data lakes as the ...

AI-enabled analytics are transforming healthcare from static data to real-time insights. A driving force behind this shift, Kiran Veernapu is modernizing systems to improve patient outcomes and ...

Oracle on Wednesday unveiled the latest version of its Autonomous Data Warehouse, equipped with drag-and-drop UIs and AutoML capabilities that make it dramatically easier to use. With no SQL needed, ...

It’s felt obvious for some time that, as an industry, we’ve been trying to shove square data warehousing tools into round, data-driven application holes. But it wasn’t until I read Decodeable CEO Eric ...