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Efficient, secure storage plays a critical role in the enterprise. Tech companies are beginning to offer smarter storage solutions, enabling greater efficiency through data compression, information lifecycle management, and tiered storage strategies.

Posted August 04, 2015

In the age of big data, organizations require solutions that can help manage the three Vs, volume, velocity, and variety. Addressing the three Vs are the converging forces of open source, with its rapid crowd-sourced innovation, cloud, with its unlimited capacity and on-demand deployment options, and NoSQL database technologies, with their ability to handle unstructured, or schema-less, data.

Posted August 04, 2015

No matter what the causes, a series of unfortunate events added up to a lot of bad news for data security and availability during one week in early July. In addition to an outage at the New York Stock Exchange, IT issues resulted in the grounding of United Airlines planes for 2 hours on the same day, and new revelations surfaced about a data breach at the U.S. Office of Personnel Management.

Posted July 21, 2015

If you read the headlines, downtime is a real and material risk to your business. Whether it's international hackers, massive power outages or just hardware and software that reaches its end of life, IT organizations continue to be challenged by unplanned downtime and data loss. And it's costing them as much as $1.7 trillion a year.

Posted July 21, 2015

The Ins and Outs of Data Modeling in NoSQL

Posted July 21, 2015

Data integration requirements are growing more demanding. In today's computing environments, data must often be moved between on-premises systems and public clouds, between private and public clouds, between different hybrid clouds, or between different public clouds. A new report based on a survey conducted by Unisphere Research among 342 IOUG members looks at the current state of data integration in the cloud era, including the key issues, priorities and solutions being adopted by organizations. The "2015 IOUG Data Integration for Cloud Survey" was sponsored by Oracle.

Posted July 21, 2015

Amazon CEO Jeff Bezos is quoted as saying, "What's dangerous is to not evolve." His company has followed this mantra to the point where you can't tell any more if Amazon is a retail, media, or tech company. Organizations must follow Bezos' advice when it comes to evolving their digital analytics efforts or choose to live dangerously in an increasingly data-driven world.

Posted July 08, 2015

Midstate Mutual Insurance Company provides property and casualty insurance in New York State, through insurance products that are sold exclusively through independent agencies located throughout upstate New York. To meet escalating information technology requirements and stay successful, Midstate, a longtime Revelation Software customer, has evolved to offer online access at any time, and from any device through separate, dedicated portals for agents and customers.

Posted July 08, 2015

What matters most in data management in 2015? There are a lot of moving parts that data managers and professionals need to attend to in today's enterprises. Databases need to be wide open and accessible to all parts of the business, but at the same time, secure and free of tampering. Unstructured forms of data—such as log data, documents, graphics, video, and social data—need to be prepared and ready for analysis in the same way structured files have been ready for years.

Posted June 25, 2015

Nowadays, data moves well beyond the data center—as well as beyond corporate walls. The challenge is to support data as it moves from data center to cloud, from cloud to cloud, and from cloud to data center. This issue was explored in a recent survey conducted by Unisphere Research among the members of the Independent Oracle Users Group (IOUG).

Posted June 25, 2015

Software is "eating the world," as Marc Andreessen famously said in The Wall Street Journal. Companies such as Amazon, Netflix and Pandora have upended the retail, video, and music industries by operating, at their heart, as software-based companies. A software-defined approach to enterprise storage has begun to infiltrate the enterprise data center as well.

Posted June 25, 2015

Numerous studies over the past few years characterize generally poor performance in the success rate of business intelligence projects. Now is the time to move business intelligence practices into the 21st century, or risk a continued cycle of overspending and underperformance. Here are five new strategies to improve alignment between unique problem characteristics and specific strengths.

Posted June 25, 2015

If a data center fails, so could the business. It is hardly surprising then, to see the results of a recent survey which named the top management issue as availability. To allay this concern, and to meet customer expectations of an always-available data center, operators are deploying technologies that marry availability with optimized efficiency. Central to this outcome are database and software integrations.

Posted June 25, 2015

An ever increasing number organizations are implementing DevOps using continuous delivery process. They are fueled by reports of the benefits, which include quicker time to market, reduced costs and higher quality products. DevOps is mostly about organizational culture, while continuous delivery and continuous integrations are mainly about automation and tests, which of course require a trustworthy source control.

Posted June 09, 2015

Rackspace is launching a dedicated option for MongoDB customers called ObjectRocket for MongoDB databases. The solution, which combines the speed and scalability of the ObjectRocket platform with dedicated hardware and networking for compliance-dependent use cases is aimed at providing the the performance, security and compliance required in high-risk industries such as healthcare, financial services and insurance. "Today we're announcing a fully dedicated cabinet solution to provide a high level of isolation for our customers," said Chris Lalonde, co-founder of ObjectRocket. "On top of that, we are also announcing an on disk encryption for MongoDB."

Posted June 09, 2015

One day, corporations awoke to the fact that having data was not the same thing as having believable data. They awoke to discover the meaning of "data integrity." That was the day the enterprise data warehouse (EDW) was born. With an EDW, corporations had the bedrock data on which to make important and trustworthy decisions. Prior to the EDW, corporations had plenty of data, but the data was not believable.

Posted June 09, 2015

Posted June 01, 2015

DBTA 100 2015 - The Companies That Matter Most in Data

Posted June 01, 2015

New and emerging companies are taking aim at data management challenges to help customers get more value from their data. Here, DBTA showcases the approaches of 10 companies we think are worth watching.

Posted June 01, 2015

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Today, it's not enough for companies to collect as much data as possible in the hope of gleaning insight. Much of this information is useless and only serves to bog down corporate networks. Instead, companies need to focus on data integration and the ability to make the right data available to the right users, regardless of origin or platform. Here are 6 technologies to improve data integration.

Posted May 26, 2015

The end of life date for Windows Server 2003 is July 14, 2015. While the latest version of the operating system is now 10 years old, as of last summer more than 22 million servers around the world were still running production applications. Within the next few weeks, millions of enterprise IT professionals will be forced to decide if they are going to migrate off the OS or secure a custom support contract with Microsoft to manage the end-of-life OS.

Posted May 26, 2015

OpenStack turns five this year, and the project has come a long way in its short life so far. Last year brought major improvements in areas such as upgradeability between versions and overall usability, which upped the appeal of OpenStack to enterprises while also netting important backers such as HP (acquired private cloud vendor and one-time OpenStack competitor Eucalyptus) and VMware (OpenStack was a recurring theme at VMworld 2014).

Posted May 26, 2015

At Data Summit 2015 in New York City, Tony Shan, chief architect, Wipro, gave a talk on the key components of a successful big data methodology and shared lessons learned from real world big data implementations. According to Shan, there is an 8-step process for a big data framework with specific techniques and methods.

Posted May 26, 2015

To transform data into value, IT must move from thinking about what it does to data, and instead focus on business outcomes and what can be done with the data to advance the business, according to Edd Dumbill, vice president, strategy, Silicon Valley Data Science, who gave the welcome keynote at Data Summit 2015.

Posted May 14, 2015

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