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Privacera | October 15, 2020
Privacera, the cloud data governance and security leader founded by the creators of Apache Ranger™, today announced the general availability of version 4.0 of the Privacera Platform, an enterprise data governance and security solution for machine learning and analytic workloads in the public cloud. Driven by increasing customer demand, Privacera 4.0's new features include: access workflows for faster on-boarding and customized data access; expanded discovery for seamless data tagging i...
Big Data Management, Business Strategy, Data Science
Prnewswire | April 12, 2023
CloudFabrix, the inventor of Robotic Data Automation Fabric (RDAF) and the "Data-centric AIOps" leader today announced the availability of its Observability Data Modernization Service for its RDA platform. This service transforms, enriches, and maps Non-OTel signals to OTel signals which can be used by CloudFabix AIOPs as well as any other OTel-compliant backend platforms. This enables several operational domains' MELT signals to be ingested with full-stack service maps, enri...
Big Data Management
Business Wire | November 01, 2023
NICE Actimize, (Nasdaq: NICE) was named a winner in A-Team Group's Data Management Insight Awards USA 2023 in the category for Best Data Solution for Regulatory Compliance. NICE Actimize’s X-Sight DataIQ ClarityKYC was the recipient of the most online votes in its category derived from reader/online nominations from within the data management community and verified by A-Team Group editors a...
Data Science
Oracle | October 27, 2020
Oracle has been named a pioneer among the significant cloud data analytics stage suppliers in the Asia-Pacific area by IDC in its most recent investigation report; MarketScape: APEJ Cloud Data Analytics Platform 2020 Vendor Assessment – Gen D Tribes Gather to Build the Intelligent Enterprise. Oracle is perceived for its capacity to quicken clients' development to a cloud data analytic platform and capacity to unite data into a confided in source, accelerating their chang...
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