DBTA E-EDITION
July 2014 - UPDATE
Subscribe to the online version of Database Trends and Applications magazine. DBTA will send occasional notices about new and/or updated DBTA.com content.
Trends and Applications
Many database administrators now feel that the best way to preserve database reliability may be to take over the job of backing up their own databases. Just as end users are happier when they can do their own password resets or restore an accidentally deleted file, DBAs want greater control over their backups, restores and recoveries, and also the peace of mind of knowing that it is done to their standards. The key to making this work is integrating database applications with purpose built backup appliances (PBBAs).
The Exadata Database Machine X4-8 has been designed to deliver extreme compute and data throughput for large database workloads using 8-socket database servers, intelligent storage, PCI flash cards, and unified InfiniBand connectivity. The Exadata Database Machine X4-8 expecially suited for a number of large scale enterprise scenarios, said Tim Shetler, vice president of product management, Oracle. "It is an ideal platform for hosting memory-intensive workloads such as the Oracle Database In-Memory option."
Considered a landmark partnership by industry observers, the new joint effort by IBM and Apple, to bring IBM MobileFirst for iOS Solutions to market is actually just one more step in a long line of innovative and sometimes surprising initiatives from IBM, the venerable IT powerhouse. Big Blue's extensive line of businesses range from mainframes to cloud software to ground-breaking partnerships in the open source space, including its commitment to Linux and the opening of the technology surrounding its Power Architecture offerings
Databricks and SAP have collaborated on a Databricks-certified Apache Spark distribution offering for the SAP HANA platform. This production-ready distribution offering is the first result of a new partnership between Databricks and SAP.
The industry hype would have you believe that the key word in the phrase "big data" is big, a reference to datasets so large and complex that they cannot be managed within the confines of traditional IT systems and that the many opportunities for operational improvement that come from better analysis of data and information are reserved for those in the enterprise. Understandable, but completely wrong.
How do you catch the next big wave - not the wave everyone's already riding, but the one on the horizon? When it comes to big data, the next big wave is in-memory technologies, which accelerate data processing for faster, more accurate decisions.