In this special guest feature, Jamie Clark, Senior Developer at Dimensional Insight, discusses why columnar databases are the future of business intelligence as massive amounts of data continue to ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What are wide column stores? Wide column stores are database management systems ...

Columnar database technology burst on the data warehouse scene just a couple years ago with promises of faster query speeds on vast amounts of data. They delivered on that promise, but at a cost that ...

Analytical workloads differ from transactional workloads in that most queries read a small subset of columns for very large numbers of rows. To optimize for these demands, most analytical databases ...

DUBLIN--(BUSINESS WIRE)--Research and Markets (http://www.researchandmarkets.com/research/d8f5ad/evaluating_columna) has announced the addition of the "Evaluating ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

The enterprise world of SAP isn't just structured data: it's the fundamental infrastructure of countless international businesses. In business you follow the money to understand deal flow, and ...

The FDAP stack brings enhanced data processing capabilities to large volumes of data. Apache Arrow acts as a cross-language development platform for in-memory data, facilitating efficient data ...

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 ...