December 2013 - UPDATE

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Trends and Applications

It's time to look back at some of the most interesting big data blog posts of the past 12 months. These 12 posts provide warnings, tips and tricks, and often a touch of humor as well.

There are many ways that big data can help businesses make better decisions and succeed more quickly, ranging from product innovation to manufacturing to marketing. To help organizations get their big data projects off on the right foot, here are five essential truths about big data analytics.

More businesses are beginning to realize the value that big data analytics can provide, according to ParStream, which has compiled a list of five key trends that will impact the big data landscape in the next year. In 2014, "fast data" - which enables companies to make real-time, fact-based decisions by using historical and live data to improve the way they run their business, deliver solutions, and engage with customers - will become the factor that separates inexperienced big data solution providers from established ones, the company says.

Big data can be a Siren, whose beautiful call lures unsuspecting sailors to a rocky destruction. The potential value of big data analysis to increase income (or lower expenses) for the company tends to drown out the calls for risk oversight. Understanding the legal and regulatory consequences will help keep your company safe from those dangerous rocks.

Oracle has announced the fifth generation database machine, the Oracle Exadata Database Machine X4, which adds enhancements to improve performance and quality of service for OLTP, DBaaS (database as a service), and data warehousing. Tim Shetler, vice president of product management, Oracle, shared his views on the update in an interview. "There is no price change with this generation. It is the same price as before. We are just giving customers more capacity and more performance," said Shetler.

Database technology has gone through somewhat of a renaissance in recent years, given new goals and requirements for storage, processing and analytics and new database vendors have emerged. When evaluating modern data management technologies, there are five key characteristics to consider.

The latest release of CA ERwin Data Modeler, a solution for collaboratively visualizing and managing business data, addresses two major objectives - the need for organizations to manage more data across more platforms, and to easily share that data with an expanding number of users with a range of roles and skill sets.

As unstructured data overtakes structured data within enterprises, the coming year will see the start of a reassessment of how data is architected, stored, and queried in enterprises. To meet this challenge, new technologies and solutions have already begun to transform data management within enterprises.

Serena Software, a provider of orchestrated application development and release management solutions, has announced Serena Release Manager v5. The new release automates application deployments, provides visibility, control and standardization of the release process, and supports coordination and collaboration for release teams.