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 ...

To succeed today, organizations need to become analytics-focused enterprises. To support that effort, the spectrum of database choices has never been larger, providing an array of options to manage ...

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 ...

Seeking to improve access to data stored in columnar tables and, with it, speed up query performance, big data and marketing applications specialist Teradata Corp. rolled out a hybrid row and column ...

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

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 ...

A new Rust-based database engine, InfluxDB IOx, brings an in-memory columnar store, unlimited cardinality, and SQL language support to the open source time series database, raising the bar for ...

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 ...

Apache Parquet, which provides columnar storage in Hadoop, is now a top-level Apache Software Foundation (ASF)-sponsored project, paving the way for its more advanced use in the Hadoop ecosystem.