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 ...

Five Pitfalls to Avoid with Hadoop Conventional wisdom holds that as a batch-oriented platform, Hadoop is not well suited for running high-performance analytics applications. This week, however, ...

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 ...

Please follow this link to view the full social media version of this news release on Teradata.com Unlike relational database management systems which only store data ...

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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 ...

See how try and otherwise protect custom column math from type errors in Power Query, saving time and keeping your refresh ...