February 22, 2018


News Flashes

BMC, a provider of digital enterprise solutions,has integrated AWS Service Catalog into the BMC service catalog, part of the BMC Digital Workplace solution, delivering one-click self-service to its products and services.

Cambridge Semantics, provider of a universal semantic layer for big data management and connected data analytics solutions, is previewing AnzoGraph, a native graph-based parallel query engine available for analyzing data from Amazon Neptune, the new graph database service from Amazon Web Services (AWS).

Reltio, provider of the Reltio Self-Learning Data Platform, has announced Reltio Cloud 2018.1, the newest version of its native cloud platform that organizes enterprise data for continuous self-learning. The new release includes the next evolution of Reltio IQ (formerly Reltio Insights) which takes advantage of advanced analytics and machine learning for day-to-day operations and applications. A key feature of Reltio IQ is the ability to derive IQ scores or recommendations for efficient data organization (e.g., data quality) and for business insight (e.g., churn risk), and to embed them back into customer, account or product profiles for easy segmentation and operational execution. 

Oracle says it plans to significantly expand its modern cloud infrastructure footprint with 12 new data center regions and to increase the breadth and depth of Oracle Cloud services available across Asia, Europe, and the Americas.

Qubole, which provides cloud big data-as-a-service, and Snowflake Computing, which provides a data warehouse built for the cloud, are partnering to enable customers to use Apache Spark in Qubole with data stored in Snowflake.

Veritas Technologies, a provider of multi-cloud data management, is releasing Veritas CloudPoint 2.0, which is now certified by Veritas for the Google Cloud Platform and adds enhancements for Google Cloud native snapshot capabilities.  Veritas CloudPoint 2.0 is an enterprise-grade solution built natively for the cloud that automates discovery and protection of Google cloud workloads.


Think About It

It's no secret that data management has changed dramatically in the nearly 10 years since the onslaught of "big data." A decade ago, the relational database management system (RDBMS) ruled the enterprise.  Today, polyglot persistence is the mandate, and innovative NoSQL and NewSQL databases, cloud services, and data processing technologies have arisen alongside stalwart RDBMSs, data warehouses, and traditional on-premise deployments. However, despite the increasingly challenging data environment, experts agree, opportunities for DBAs abound—provided they are willing to continue learning and growing and to step in to fill gaps where they open up.

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