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Big Data Management
Hewlett Packard Enterprise | March 19, 2021
Hewlett Packard Enterprise has refreshed its Ezmeral data and analytics programming portfolio adding another item and an ISV and open source solutions marketplace. Ezmeral Data Fabric is currently accessible independently as a product characterized, scale-out data store streamlined for data analytics abilities, just as a piece of the Container Platform and ML Ops contributions. It gives a data stockpiling layer across on-reason, private or public cloud, and edge conditions. ...
Data Science
Tetra Tech | March 09, 2022
Tetra Tech, Inc. , a leading provider of high-end consulting and engineering services, announced today that it has acquired Axiom Data Science, an industry leader in the management and analysis of oceanic and ecological data associated with climate change. Headquartered in Anchorage, Alaska, Axiom conducts climate science modeling to help clients manage, integrate, and visualize large-scale complex data sets that are essential to addressing climate change. “Tet...
BigID | December 03, 2021
BigID, the leader in data discovery and intelligence for privacy, protection, and perspective, today introduced the first-of-its-kind data catalog integration app for Tableau, the world's leading analytics platform. Joint customers can get more value from their data through powerful analytics fueled with the highest quality and security and privacy vetted data. BigID provides Tableau users ML-based capabilities for finding high-value, correct, and meaningful data that simplify...
Data Architecture
Protegrity | March 15, 2022
Protegrity, a pioneer in data-centric security, recently launched version 9.0 of the Protegrity Data Protection Platform, which includes enhanced security and data-sharing capabilities to help organizations unleash the full potential of their data in increasingly complex technological contexts. Companies compete on data results, but data security and privacy concerns frequently hinder their ability to compete. New data anonymization features for delivering privacy-enhanced datasets for AI/ML and...
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