Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

Katherine Haan, MBA, is a Senior Staff Writer for Forbes Advisor and a former financial advisor turned international bestselling author and business coach. For more than a decade, she’s helped small ...

With its ability to convert natural language questions into SQL queries, the addition of ChatGPT to the high-performance, real-time Kinetica database makes it possible for business users to obtain ...

Vertica, a column-oriented analytic database technology provider, has announced a new release of its Analytic Database product with new features for performance gains, increases in scale, and advanced ...

Accounting combines three things many people enjoy: problem-solving, money, and working with people. And thanks to the use of data analytics in accounting, these parts of the job are more exciting, ...

Saint Mary Capital announced the launch of a tiered analytical access service designed for financial research users operating ...

Big data startup Imply, founded by the original developers of open-source Apache Druid, is offering a fully-managed cloud service and query engine to help programmers build high-performance analytical ...

Calpont Corporation is a database software company that provides column-oriented technology optimized to handle analytics, business intelligence and read-intensive application deployments. Recently, ...

Most distributors track internal performance — but lack a clear view of market opportunity. As the first in a three-part ...

PlanGuru, a provider of budgeting, forecasting, and performance review software, announced the launch of PlanGuru Analytics, ...

LSU has joined forces with Fullstack Academy to offer a Data Analytics Bootcamp that builds job-ready skills in as little as 10 weeks full-time or 26 weeks part-time. Students receive live online ...

With increased mergers and acquisitions, hospitals, hospital systems and Integrated Delivery Networks face significant challenges to aggregate and compare colossal datasets, identify problems, and ...