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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

Data centers occupy a unique corporate position. From IT and finance, to sales and marketing, they enable every aspect of a modern business. As a result, enterprises have to allocate massive amounts of energy and budget to maintain a reliable data center service.

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

While the influx of data provides many benefits to an organization, it can come with some challenges as well. The cost and lack of elasticity due to the volume and multiple data sources have become difficult issues for businesses to deal with.

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

The world of information technology is often described as an ecosystem. And just like an ecosystem that exists in nature, IT is affected by internal and external factors. In this issue of Database Trends and Applications magazine, we introduce the third annual list of companies that matter in data, a reflection of the IT ecosystem as it exists now.

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.

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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

The Internet of Things (IoT) is a network in which devices and machinery will be embedded and connected with software and sensors in order to achieve greater value for manufacturers and users. With the increase in technology, IoT is becoming more prevalent. Many within the data industry have been knowledgeable about IoT, but now people outside of the industry are becoming familiar with it as well as it becomes part of their everyday lives.

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

Data has changed and, with this change, cracks in the armor of traditional data warehousing approaches are forming. The concept of the data warehouse is still sound. However, businesses can be more successful by acknowledging that the traditional enterprise data warehouse cannot solve all problems today.

Posted May 14, 2015

These days, managing a data center can be like working inside a pressure cooker. Virtualization, dynamic computing, cloud computing, big data, the Internet of Things—each major development turns up the heat, but budgets, staff, and skills often lag behind explosive growth in data center scale and complexity.

Posted May 14, 2015

Microsoft SQL Server has become a business-critical database for a growing number of enterprises that rely on it to run a wide range of essential business processes. As enterprises look to continuously improve the efficiency of their data centers, they face the challenges involved in improving their ability to provide high availability and disaster protection for SQL Server.

Posted May 14, 2015

The future will flourish with machines. We've been told this in pop culture for decades, from the helpful robots of the Jetsons, to the infamous Skynet of the Terminator movies, to the omniscient "computer" of Star Trek. Smart, connected devices will be ubiquitous and it's up to us, the humans, to decide what's next. But the Internet of Things (IoT) is about more than devices and data.

Posted April 23, 2015

As database administrators (DBAs) undertake more responsibilities than ever before, Janis Griffin, database performance evangelist and senior DBA, SolarWinds, with 26 years of experience under her belt, is looking to calm worries over increased workloads. As the benefits of cloud becomes more apparent, virtualization is going to be the wave of the future, Griffin noted. Virtualizating data or databases abstracts the technical environment, Griffin said, making it more flexible.

Posted April 23, 2015

There are many factors contributing to data environment changes, including users, technology, economics, and data itself. These four sources of change are creating opportunities to deliver competitive advantage but also new management, administration and optimization challenges.

Posted April 23, 2015

SUSE and Veristorm are partnering to provide certified high-performance Hadoop solutions that run directly on Linux on IBM z Systems, IBM Power Systems, and x86-64. Customers with IBM z Systems can team SUSE Linux Enterprise Server for System z with Veristorm zDoop, a commercial distribution of Hadoop supported on mainframes.

Posted April 23, 2015

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