Relational databases are well-suited to conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

SQL is neither the fastest nor the most elegant way to talk to databases, but it is the best way we have. Here’s why Today, Structured Query Language is the standard means of manipulating and ...

The 10 coolest big data tools of 2025 so far include Databricks Lakebase, SAP Business Data Cloud and Snowflake Intelligence.

Databricks adds new SQL Analytics Workspace and Endpoint features, consolidating its acquisition of Redash and bolstering its "data lakehouse" marketing push.

This new platform encompasses everything already in the Azure Data space (Azure Data Factory, Azure Data Explorer, SQL Server 2022, Azure SQL, Cosmos DB, etc.) to the Synapse Analytics products ...

OLAP explained. OLAP databases are designed to speed up multidimensional analysis on large volumes of data from a data warehouse or data mart.High-speed analysis can be accomplished by extracting ...

The combined analytics/transactional service is set to be first available in Fabric as a service based on the SQL Server engine, related to Microsoft's popular database product.

SlamData improves the efficiency of data analytics by utilizing SQL to perform ad hoc queries on data stored in NoSQL databases like MongoDB. And this efficiency is much needed, especially ...

The first lesson is how important data has become to how we run our organizations; according to Gartner, 79% of corporate strategists say AI and advanced analytics will be essential to them over ...