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Developer news items we found relating to analytic queries
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MemSQL is simplifying machine learning in their v6 update
Friday, September 29, 2017 by Austin Harris
MemSQL showcased at the Strata Data Conference the ability to run machine learning (ML) algorithms in a distributed SQL environment. In the newest release of MemSQL 6, the company added new extensibility features to enable ML, massive performance improvements for analytical queries, and a broader set of online operations.Previously, the path to implement ML meant workin...
Indatabase machine learning coming in Vertica 9
Thursday, September 21, 2017 by Richard Harris
Micro Focus has announced a major release of its Vertica Analytics Platform. Vertica 9 introduces an extended list of in-database Machine Learning capabilities - including new algorithms, model replication, data preparation functions, and continuous end-to-end workflow - to simplify the production and deployment of machine learning models. In addition, Vertica 9 will be...
MapR Ecosystem Pack program gets an update
Tuesday, December 6, 2016 by Richard Harris
MapR Technologies, Inc. has announced the next major release of the MapR Ecosystem Pack program, a broad set of open source ecosystem projects that enable big data applications running on the MapR Converged Data Platform while ensuring inter-project compatibility. These latest enhancements also add flexible access and provide new capabilities for streaming applications....
Spice Machines' Hadoop RDBMS Scales RealTime Applications
Saturday, October 31, 2015 by Richard Harris
Splice Machine has released version 1.5 of its Hadoop RDBMS, adding multiple features that allow companies to replace their traditional RDBMSs, such as Oracle & MySQL, to power real-time applications, run operational data lakes and accelerate their ETL pipelines.Splice Machine’s Hadoop RDBMS is designed to scale real-time applications using commodity hardware withou...
How to Escape the MPP Database Schema Management Hell
Tuesday, March 10, 2015 by Stuart Parkerson
Today’s massively parallel processing (MPP) databases’ ability to run large-scale analytic queries very quickly make them great tools for iterative data exploration. And Cloud offerings like Redshift are causing MPP databases to enjoy increasing adoption outside of enterprise IT.However, schema management and data loading are two areas where MPP databases require an eno...
