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 ...

In 2014, Jason Frantz and Rob Woollen co-founded Sigma Computing, a platform that overlays data stored in data platforms such as Snowflake and Google BigQuery with a spreadsheet-like interface for ...

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 ...

Managing, moving, transforming and governing data for business applications and data analytics purposes has always been an important part of IT operations. But those chores have taken on a new level ...

SXT $0.05658, a blockchain-native data warehouse that incorporates artificial intelligence (AI) tools to build applications using its data, has raised $20 million in Series A funding. The funding ...

Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists. Here ‘s ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

I talk to a lot of different businesses about their data, and, without fail, some form of the same question always comes up: “What is the most common reason you see data warehouse projects failing?” ...

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...

Data security posture management (DSPM) tools help security teams to look at the entire data environment and find shadow data, reducing the risk of data loss. Tracking down sensitive data across your ...