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Why You Need Data Transformation in Machine Learning

Nov 8, 2019 |

Thanks to machine learning and the advancements in software and technology, enterprises can now process and understand their data much faster using modern tools with established algorithms. This effectively allows them to deliver more powerful marketing campaigns, deploy efficient logistics operations, and significantly outpace competitors. Read more…

Q&A: Appro gets ready for 16-core AMD “Interlagos” processors

Oct 24, 2011 |In the volatile high performance computing (HPC) market, vendor longevity is quite rare. However, Appro has not only endured, but continues to introduce innovative solutions. One of the company’s strengths is that while some vendors flashed into and out of existence by offering rigid solutions exclusively for the highest end of the market, Appro has tried to appeal to the medium to large-scale HPC market with a variety of workload configuration requirements. Read more…

News In Brief

This Just In

Cisco Cloud Security Deploys Matillion ETL for Snowflake Solution

Jul 28, 2020 |

DENVER, Colo. and MANCHESTER, England, July 28, 2020 – Matillion,  provider of data transformation for cloud data warehouses (CDWs), announced that Cisco Cloud Security deployed Matillion ETL for Snowflake.

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Matillion Exchange Enables Faster Data Innovation with Community Contributed Pre-Built ETL Workflows

Jul 8, 2020 |

DENVER, Colo. and MANCHESTER, England, July 8, 2020 — Matillion, provider of data transformation for cloud data warehouses (CDWs), launched Matillion Exchange, a marketplace for Matillion ETL users and partners to publish and download Shared Jobs to reduce development time and solve business challenges faster. Read more…

Matillion Launches Matillion ETL for Azure Synapse

May 13, 2020 |

DENVER and MANCHESTER, EnglandMay 13, 2020 — Matillion, a provider of data transformation software for cloud data warehouses (CDWs), announced the availability of Matillion ETL for Azure Synapse to enable data transformations in complex IT environments, at scale. Read more…

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