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February 2014 - UPDATE

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Trends and Applications

Database Trends and Applications (DBTA) and IBM have launched a Big Data Survey to provide a timely analysis of the key technologies, practices and strategies that businesses across different industries are using to improve confidence in their decision making. Respond with a completed survey by March 2nd, 2014, in order to be included in a drawing to win one of three $200 American Express gift cards to be awarded at the conclusion of the study.

The newest version of DataStax's eponymously named enterprise database platform adds a new in-memory option as well as enterprise search enhancements to support high performance. Along with the latest release of its enterprise NoSQL database, DataStax has also introduced version 4.1 of DataStax OpsCenter which supplies improved capacity management capabilities and visual monitoring of production database clusters.

In many ways, IT protection is like a game of poker. There are two things you need to win: a strong ability to play and the best hand you can get. With the former, a lot of it comes down to knowing what not to do.

Believing that its ability to do advanced customer analytics on an increasingly vast data set would be enhanced by a platform that would grow exponentially, the customer science company dunnhumby turned to Oracle Exadata Database Machine and Oracle Advanced Analytics. dunnhumby's global chief information officer Yael Cosset explains what the company gained with the implementation.

Enterprise data warehouses aren't going away anytime soon. Despite claims that Hadoop will usurp the role of data warehousing, Hadoop needs data warehouses, just as data warehouses need Hadoop. However, making the leap from established data warehouse environments—the kind most companies still have, based on extract, transform and load (ETL) inputs with a relational data store and query and analysis tools—to the big data realm isn't a quick hop.

While minimizing risk is important for financial services organizations, companies need to think beyond fraud detection and understand the wider benefits predictive analytics can provide in terms of better customer experience, driving opportunities and increasing revenue in a highly competitive market. Among other uses, a comprehensive customer database, combined with advanced analytics, will allow organizations to spot trends, identify cohorts, and micro-target discrete populations.

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