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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

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.

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

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Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

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

Many DBAs are now tasked with managing multi-vendor environments, and handling a variety of data types. Increasingly, DBAs are turning to strategies such as database automation to be able to concentrate more on the big picture of moving their enterprises forward.

Posted April 23, 2015

A host of questions surround the implementation of data virtualization and, as the concept becomes commonplace, more businesses need answers and assistance with adapting this method. To address these issues, Lindy Ryan, research director for Radiant Advisors' Data Discovery and Visualization Practice, will present Data Summit 2015 attendees with a toolkit for adopting data virtualization.

Posted April 06, 2015

There are actually many advantages to adopting or subscribing to a cloud-based data services infrastructure. For starters—and this may be the only reason companies need to make the move—there's the simplicity cloud and data as a service can offer. In many ways, cloud and data as a service free enterprises and their data teams from the technical intricacies of deploying systems and solutions.

Posted April 06, 2015

Software licensing can be a tricky issue, especially with all of the different software policies and the high number of moving parts involved in a licensing agreement. To help customers correctly license their Oracle environments while optimizing their architecture, a recent DBTA webcast provided a frank and direct conversation about how to properly adhere to a customer's existing contract in order to correctly license virtualized infrastructure for Oracle.

Posted April 06, 2015

With the advent of big data, the scope of business intelligence and analytics is expanding. To shed light on the changes taking place within BI as a result of big data, Ian Abramson, author, principal senior consultant at SWI, and a past president of the IOUG, will present a session at Data Summit 2015 titled "The New Analytic Paradigm: The Big Evolution of BI." Abramson will present his session at 10:45 am on Wednesday, May 13, as part of the IOUG Track.

Posted April 06, 2015

Many people love the NCAA's March Madness, where 68 teams vie for the championship title. A similar situation is occurring in the database world, where innovation is spurring exciting new competition and new solutions. There aren't 68 companies in the mix, but quite a few that are competing for the championship prize, which is a slice of the huge database market that could reach over $45B by 2018, according to Gartner.

Posted March 26, 2015

We are increasingly living in a "sensors world," where data is constantly gathered by smartphones, smart watches, sport trackers, smart devices, and even smart houses. Service providers collect this data for research, marketing campaign effectiveness analysis, proactive solutions, and more. All these "sensors" generate a constant flow that needs to be stored, processed and analyzed in order to bring value.

Posted March 26, 2015

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