GridGain Systems, provider of enterprise-grade In-Memory Computing solutions based on Apache® Ignite™, announced that they are now offering the GridGain In-Memory Data Fabric deployed on Microsoft Azure.
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GridGain Systems Introduces In-Memory Computing Solutions Deployed on Microsoft Azure to Address the Needs of the Financial Services Industry
With the continued upward trajectory of interest in getting on board with a data science career, our friends over at Simplilearn Solutions put together the compelling infographic below.
StreamSets announced StreamSets Dataflow Performance Manager (DPM™), a solution to manage operations of a company’s end-to-end dataflows within a single pane of glass.
Kinetica Unveils GPU-accelerated Database for Analyzing Streaming Data with Enhanced Performance, Visualization and High Availability
Kinetica announced the newest release of its distributed, in-memory database accelerated by GPUs that simultaneously ingests, explores, and visualizes streaming data.
In this contributed article, Aaron Auld, CEO of EXASOL takes a high-level view of the evolving big data ecosystem.
In this special guest feature, Dr. Ritu Chadha, IEEE Senior member, Executive Director at Vencore Labs, explains one commercial application of machine learning and information theoretics, among other techniques, to big data to reduce human suffering.
DrivenBI, provider of SRK, the 100% cloud-native self-service BI platform that empowers business professionals without IT’s constant support, announced a new on-boarding methodology to quicken the learning curve for new users, further redefining the meaning of self-service BI.
Last year, I wrote a review of a useful book that got students up to speed with a key mathematical ingredient of machine learning – linear algebra: The Manga Guide to Linear Algebra. No Starch Press (an excellent source of technical books) just came out with a follow-up title: The Manga Guide to Regression Analysis.
Jethro, provider of an index-based SQL acceleration engine that makes Business Intelligence (BI) work on Hadoop, is slated to release Jethro 2.0 featuring “auto-cubes.”
In this special guest feature, Alexander Khaytin, COO for Yandex Data Factory, explains how businesses can introduce “data democracy” and systematic testing and how agility can be introduced into even the most inflexible of organizations, overcoming the barriers prohibiting machine learning adoption and benefit.