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Similar to server, storage, and network virtualization, data virtualization simplifies how data is presented and managed for users, while employing technologies - under the covers - for abstraction, decoupling, performance optimization and the efficient use/reuse of scalable resources.

Posted December 15, 2014

2015 is going to be a big year for big data in the enterprise, according to Oracle. Neil Mendelson, Oracle vice president of big data and advanced analytics, shared Oracle's "Top 7" big data predictions for 2015. "The technology is moving very quickly and it is gaining to the point where a broader set of people can get into it - not just because it is affordable - but because they no longer require specialized skills in order to take advantage of it," he said.

Posted December 15, 2014

2014 has been described as the year of the data breach. But 2015 will be the year of the regulator, says Suni Munshani, CEO of Protegrity, a provider of data security solutions. According to the Identity Theft Resource Center, there were 708 breaches that took place in the past year, grabbing headlines and sending warnings to retailers to prepare for the 2014 holiday shopping season that is now in full swing.

Posted December 15, 2014

Data has grown at an exponentially faster rate over the past 2 years than all of the previous years combined. "Ninety percent of data that exists today has been created in the past 2 years," said Bill Brunt, product manager of Dell SharePlex, during a recent DBTA webcast. This increase in data has caused companies to look for more efficient ways of moving data within their organizations. Dell SharePlex strives to offer the best overall customer experience when working with their software.

Posted December 15, 2014

Big data continues to have an impact on business, government, and society at large. Here's a look back at 10 noteworthy blog posts from 2014. These blog posts explore the benefits and downsides of advancements in big data technologies.

Posted December 15, 2014

The rise of digital platforms is spurring new innovation and new thinking within the data management world to an unprecedented degree, and it is recasting the look, feel, and functionality of solutions and approaches to data applications. There are many business opportunities arising from digital platforms that call for proactive leadership or engagement by data managers. A prime example is the emergence of the Internet of Things, which SMAC makes possible.

Posted December 03, 2014

Exploding data assets and the need for greater agility are helping to drive the move to virtualization. More than two-thirds of organizations in a recent Unisphere Research survey among members of the Independent Oracle Users Group indicate that the number of Oracle databases they manage is expanding. At the same time, many managers admit that their IT departments are sluggish when it comes to responding to new business requirements. For more than 50% of organizations, it takes their IT department 30 days or more to respond to new initiatives or deploy new solutions. For one-quarter of organizations, it takes 90 days or more.

Posted December 03, 2014

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Posted December 02, 2014

Data is increasingly being recognized as a rich resource flowing through organizations from a continually growing range of sources. But to realize its full potential, this data must be accessed by an array of users to support both real-time decision making and historical analysis, integrated with other information, and still kept safe from hackers and others with malicious intent. Fortunately, leading vendors are developing products and services to help. Here, DBTA presents the list of Trend-Setting Products in Data and Information Management for 2015.

Posted December 02, 2014

The increasing pressure of compliance regulations and security policies makes the deployment of high-level database protection a must-have for any organization. For those looking for ways to advance database security, here are 5 SQL Server best practices to maintain database security and streamline compliance.

Posted November 12, 2014

The Juno release of OpenStack, which made its debut on October 16, represents a significant milestone. The success of a cloud platform fundamentally depends on the ability to easily deploy applications on that platform, and the Juno release builds on Icehouse in making OpenStack a much more compelling option for customers wishing to operate a private cloud within their own enterprise, or for service providers who wish to provide a public cloud service.

Posted November 12, 2014

Business intelligence, analytics, and just-in-time reporting have exploded in recent years. The documentation manuals for older database software are filled with tips on shutting down access to data warehouses for the weekend while data loads are performed, dropping and recreating indexes along the way for a performance boost during the load. However, today's high-velocity world does not allow for that; instead, the data supply chain must constantly be flowing from source to ODS to warehouse to the rich dashboards of eager executives and business analysts at all times.

Posted November 12, 2014

The opportunity and imperative to optimize energy use in the data center industry is at an all-time high. In the modern digital era, data centers are as essential as power plants, a massive and critical infrastructure upon which our social, business, retail, healthcare, and government services are run. Gathering good data streams — metrics that matter to both business and IT — and correlating them through powerful analytics will amplify bottom line results. Here are 5 key ways more efficient power utilization can enable data centers to be more effective and efficient.

Posted October 22, 2014

We are in the midst of a business performance revolution, one where companies and customers alike expect instant access to the tools of commerce from anywhere at any time. Mobility is integral to this revolution, as the enterprise mobility phenomenon is quickly becoming a key driver of business innovation.

Posted October 22, 2014

At the most fundamental level, consider that at the end of the day NoSQL and SQL are essentially performing the same core task — storing data to a storage medium and providing a safe and efficient way to later retrieve said data. Sounds pretty simple — right? Well, it really is with a little planning and research. Here's a simple checklist of 5 steps to consider as you embark into the world of NoSQL databases.

Posted October 22, 2014

Apache Hadoop has been a great technology for storing large amounts of unstructured data, but to do analysis, users still need to reference data from existing RDBMS based systems. This topic was addressed in "From Oracle to Hadoop: Unlocking Hadoop for Your RDBMS with Apache Sqoop and Other Tools," a session at the Strata + Hadoop World conference, presented by Guy Harrison, executive director of Research and Development at Dell Software, David Robson, principal technologist at Dell Software, and Kathleen Ting, a technical account manager at Cloudera and a co-author of O'Reilly's Apache Sqoop Cookbook.

Posted October 22, 2014

In his presentation at the Strata + Hadoop World conference, titled "Unseating the Giants: How Big Data is Causing Big Problems for Traditional RDBMSs," Monte Zweben, CEO and co-founder of Splice Machine, addressed the topic of scale-up architectures as exemplified by traditional RDBMS technologies versus scale-out architectures, exemplified by SQL on Hadoop, NoSQL and NewSQL solutions.

Posted October 22, 2014

Today, many companies still have most of their transactional data in relational database management systems which support various business-critical applications, from order entry to financials. But in order to maintain processing performance, most companies limit the amount of data stored there, making it less useful for in-depth analysis. One alternative, according to a recent DBTA webcast presented by Bill Brunt, product manager, SharePlex, at Dell, and Unisphere Research analyst Elliot King, is moving the data to Hadoop to allow it to be inexpensively stored and analyzed for new business insight.

Posted October 22, 2014

Organizations have been collecting data for years, but never before has there been such urgency to have it immediately available. The business need is pressing—decision makers need up-to-the-minute situational awareness in a volatile global economy.

Posted October 08, 2014

The managers and professionals who dedicate their careers to fundamental database administration are a shrinking pool. Many are retiring, while others have career aspirations outside of the IT department. The data profession itself is splintering into an array of new specialties and tasks—away from database administration and programming and toward higher-level data science and business consulting tasks.

Posted October 08, 2014

Ron Bodkin founded Think Big Analytics to help organizations gain value from big data. Before that, he was vice president of engineering at Quantcast where he led the data science and engineering teams deploying Hadoop and NoSQL for batch and real-time decision making. In this interview, Bodkin who is CEO of Think Big, now a Teradata company, discusses the challenges organizations face in getting big data projects off the ground and what they need to consider when they embark on projects to leverage data from the Internet of Things and social media.

Posted September 25, 2014

In what is being heralded as an epic change at Oracle, Larry Ellison, the charismatic CEO of Oracle, is stepping down and will be succeeded by Safra Catz and Mark Hurd who will share the CEO position. Despite the widespread pronouncements that this is the end of an era and that Ellison is relinquishing his membership in the exclusive club of rock-star tech leaders that has included Apple's Steve Jobs and Microsoft's Bill Gates, some industry insiders believe that is simply not the case. Ellison, they say, will remain a force to be reckoned with at Oracle.

Posted September 25, 2014

In simpler times, businesses kept their data in one place. That made the data easy to access and control. Today, many large enterprises have a global component to daily business transactions, with customers, partners and employees located around the world. Given the distributed nature of an organization's users and increasing data location regulations, the traditional method of storing data on a central server to support worldwide stakeholders no longer meets business needs.

Posted September 25, 2014

The expectations for technology in business have never been higher—thanks to the consumerization of IT, disruptions across the tech stack, and the emergence of new technology-based business models. And the pressures facing corporate IT departments been greater. So, how can business leaders and CIOs maximize the value of their technology investments to drive competitive business advantage? By tackling three important areas.

Posted September 25, 2014

Many in the industry have begun to look to data lakes and Hadoop as the future for data storage. To help shed light on the data lake approach, the pros and cons of this data repository were considered in a recent Unisphere webcast presented by Peter Evans, BI and analytics product evangelist and product technologist consultant, Dell Software; and Elliot King, Unisphere Research analyst.

Posted September 25, 2014

A new survey of data managers and professionals who are subscribers to DBTA finds that, over the next 10 years, about two-fifths of respondents expect to leave the field - with about half of those people retiring and the other half moving on to other jobs in management or self-employment.

Posted September 25, 2014

It's not unusual to have different parts of your data system solving different problems. From utilizing partitioning in a relational database to user-facing in-memory caches to a Lambda architecture, it is important that pieces of the system are the "right tool for the job"; appropriate for the task at hand, and not duplicating the functionality of another piece of the system. While there are technical challenges, the root and the solutions to these challenges is largely non-technical.

Posted September 10, 2014

When should you scale your database? The short answer often is: Don't scale until you have to. It is important to understand—and exhaust—all of your options for improving database performance first. Here is a look at the common options available.

Posted September 10, 2014

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