Massively parallel processing databases News
July 21, 2016
As Azure SQL Data Warehouse reaches general availability, it brings massively parallel processing to a wider audience, and augers more competition in the cloud data space.
August 31, 2015
IBM has added massively parallel processing and R language support to its dashDB software -- important steps for a data warehouse database tailored for distributed cloud computing.
July 09, 2015
Microsoft opened the preview of Azure SQL Data Warehouse, a petabyte-scale, distributed columnar data warehouse service with massively parallel processing.
June 30, 2015
SonarW is a columnar data warehouse built especially to handle JSON data. It can support data warehousing for MongoDB systems and some data lakes.
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An MPP database is a database that is optimized to be processed in parallel for many operations to be performed by many processing units at a time. Continue Reading
A need for data warehouses designed for large-volume data loading and complex analytical workloads led to Microsoft's Analytics Platform System. Continue Reading
Microsoft SQL Server Parallel Data Warehouse (SQL Server PDW) is a pre-built data warehouse appliance that includes Microsoft SQL Server database software, third-party server hardware and networking components. Continue Reading
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The Teradata Aster Analytics platform includes the Aster Database, Aster SNAP Framework, Aster R, SQL-MapReduce framework, SQL-GR and the Aster Analytics Portfolio. Continue Reading
In order to choose the right big data analysis tools, it’s important to understand the transactional and analytical data processing requirements of your systems and choose accordingly. Continue Reading
How big is your company, and what resources does it have? What are your performance needs? Answering these questions and others can help you select the right data warehouse platform. Continue Reading
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