June 28, 2018
News Flashes
Actian, the hybrid data management, analytics, and integration company, is releasing Actian Vector 5.1 and Actian Vector on Microsoft Azure to bring better security measures to analytics in the cloud. This edition of the analytic database boosts performance and adds new security features, providing customers with fine-grained control and customized protection capabilities to strengthen compliance with core General Data Protection Regulation (GDPR) requirements.
Attunity, a provider of data integration and big data management software solutions, is improving the data governance capabilities in its data integration platform to support organizations moving data to clouds and data lakes. Attunity's enhanced metadata and data lineage capabilities are designed to help users understand what the source of the data is, and highlight any modifications or transformations within the Attunity platform that have been applied.
BlueData, provider of a Big-Data-as-a-Service (BDaaS) software platform, is releasing updates for its BlueData EPIC platform, building upon innovations for large-scale distributed analytics and machine learning (ML) workloads on Docker containers. This summer release is the result of collaboration with BlueData's enterprise customers to develop new functionality in each of these areas to support their Big Data and AI initiatives - as they extend well beyond Hadoop and Spark to a range of different ML / DL and data science workloads, and beyond on-premises infrastructure to public cloud and hybrid architectures.
Hitachi Vantara has announced the expansion of the Hitachi Enterprise Cloud family of managed private and hybrid cloud "as-a-service" offerings, including new options for deploying cloud-native application environments. In addition, Hitach is introducing storage-as-a-service offerings that are pre-engineered for on-premises. These new as-a-service offerings are aimed at data center modernization and ensuring that customers realize the greatest value with Hitachi technology through outcome-based services.
Big data has changed in the way it is collected, stored, processed, and analyzed—spanning Hadoop MapReduce, cloud—and increasingly multi-cloud—Spark, streaming analytics, the use of AI, the growing importance of edge, and the expanding use of containerization, said Anoop Dawar, senior vice president product management and marketing, MapR. MapR's goal, he said, is to provide a platform that survives and thrives amidst the transitions in technology and deployment going on now and in the future.
Think About It
If you've used Azure in the past, you probably know that there are two main ways to deploy SQL Server on Microsoft's cloud—Azure SQL Database, the PaaS offering; and Azure VMs running SQL Server. Microsoft is now offering a third deployment option in preview which provides full SQL Server engine capability, including SQL Agent, along with native VNet support.