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Trends and Applications



Data centers are now designed to not only accommodate current regulations and standards but also predicted capacity requirements, while simultaneously reducing operating costs by incorporating aisle containment structures. One solution offered by many experts in the field is the use of scalable or modular designs. The aisle containment structure is gaining popularity because it meets these goals by providing an infrastructure that is repeatable and rapidly deployable.

Posted February 21, 2017

Today's successful organizations are data-driven, and many are building, maintaining, and accessing databases that scale well beyond the terabyte range. In fact, many have total data assets that now measure in the petabytes. But it's not just the size of databases that is expanding.

Posted February 21, 2017

The desire to compete on analytics is driving the adoption of new technologies such as NoSQL and Hadoop to store and process large volumes of data. Jamie Morgan, senior solutions architect at HPE Security - Data Security, and Kevin Petrie, senior director and technology evangelist at Attunity, recently discussed key technologies and best practices for data integration, data quality, and data security during a DBTA roundtable webinar.

Posted February 21, 2017

Are enterprises more or less secure than 5 years ago? That's the big question of the moment, especially with ongoing revelations about state-sponsored hacking, as well as an unending stream of reports about customer and employee data being compromised by even the most seemingly security-conscious organizations. Awareness of data security is running at a fever pitch at the highest levels of government and business organizations. There have been plenty of technology advances, and awareness has grown. Still, the wave of breaches and threats never seems to abate, and likely never will.

Posted February 08, 2017

As businesses realize the importance of big data, adoption is on the rise. But big data is still not in full-scale production everywhere, and many companies say operational challenges hold them back. So what are the operational challenges that big data presents? It's a confluence of three key features of big data.

Posted February 08, 2017

Much like "The Blob" in science-fiction, machine data is growing rapidly - so much that it may expand beyond organizations' control. This data comes from applications, servers, sensors, storage, security systems and networks, and IDC has projected that it will comprise 42% of all data by 2020.

Posted January 16, 2017

As the Hadoop ecosystem matures, the consensus in the industry has been that adoption of Hadoop technology is steady amid continuing disruptive innovation within the open-source framework. However, acquiring or developing skills is one of the most widely cited challenges of integrating Hadoop into the enterprise, as is solution complexity and system integration.

Posted January 16, 2017

Open data is on the rise and freely available, bringing huge value and new features to applications. However, the challenge for developers is to efficiently wrangle, store, and deliver open datasets without having to build complex data architectures.

Posted January 16, 2017

Big data is not the end-all, be-all of marketing strategies. It's not that big data is too simplistic, rather, it's that our standard way of using data is limiting. Typical big data analytics are incapable of painting the full picture of consumer behaviors and often fail to quickly provide complete insights. When this happens, marketers end up with broad insights that miss the mark when translated into real-world advertisements and campaigns.

Posted January 03, 2017

The past year was a blockbuster one for those working in the data space. Businesses have wrapped their fates around data analytics in an even tighter embrace as competition intensifies and the drive for greater innovation becomes a top priority. The year ahead promises to get even more interesting, especially for data managers and professionals. Leading experts in the field have witnessed a number of data trends emerge in 2016, and now see new developments coming into view for 2017.

Posted January 03, 2017

As enterprises accelerate their movement of data into the cloud, a slew of new challenges are presenting themselves on the security front. For users of external or public cloud services, the risks are well understood. However, private and hybrid clouds are not immune to security vulnerabilities either. Thanks to private clouds, data is proliferating across various parts of the enterprise, along with the potential for insider abuse, according to a new Unisphere Research report.

Posted January 03, 2017

Over the past 10 years, a wealth of products and services has emerged to help companies wring more value from the large quantities of data they are amassing. To help bring new resources into sharper focus, each year, Database Trends and Applications magazine looks for offerings that promise to help organizations derive greater benefit from their data, make decisions faster, and work smarter and more securely.

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To shed light on the enterprise and technology issues IT professionals will be facing in 2017 as business or organizational leadership seeks strategies to leverage the "big data" phenomenon, the fourth annual edition of the Big Data Sourcebook is now available for download.

Posted December 01, 2016

IT operations teams have been furiously preparing for this year's holiday season - the retail industry's busiest time of the year for web traffic. Here is a checklist of the key factors IT operations teams need to consider to ensure their IT infrastructure is ready now - and stays that way throughout the shopping season.

Posted December 01, 2016

It is not uncommon for a medium-to-large company to have 50 or more different security technologies in place. While fiscally inefficient, this approach has been somewhat effective up to this point in dealing with the types of attacks launched against it. But the threat landscape is currently changing more rapidly than ever, forcing businesses to shift to a more forward-thinking security model.

Posted December 01, 2016

By now it's well documented that employees will take IT tasks into their own hands when IT cannot give them the support they need, and when they need it. The phenomenon is ubiquitous and persistent, even to the point that it's been dubbed "shadow IT." Gartner recently noted that by 2020, a third of successful attacks experienced by enterprises will be on their shadow IT resources.

Posted December 01, 2016

The Cloud Security Alliance (CSA) calls it "The Treacherous Twelve." Others have called it the Dirty Dozen. But by whatever name, this is the list to know if you have concerns about security in the public cloud. To be honest, much is being done to address the items on this list. In fact, some predict that in a few years' time the public cloud may be more secure than private ones—and certainly more than traditional networks. Imagine, even, the possibility of security being the reason to go to—rather than shun—the public cloud.

Posted November 02, 2016

In the age of big data, efficiently managing relational databases, particularly SQL Server, may be the single most important issue facing a growing number of CIOs and data center managers. Throughout the enterprise IT community, and in the world of big data in particular, SQL Server is on a tear. Gartner projects that the market for relational database management systems will grow to $40 billion by 2018, with expanding instances of SQL Server growing nearly as fast as the big data opportunities they are expected to manage.

Posted November 02, 2016

Running databases both on premises and in a public cloud is increasingly becoming the answer to many of the headaches that database administrators and developers alike run into when working on their organization's databases. Most organizations originally favored private clouds, allowing their staff members to spin up private instances whenever needed, but public cloud providers and cloud database vendors now offer serious alternatives that make a good case for DBaaS.

Posted November 02, 2016

Driven by the demands of an always-on global economy, the widespread proliferation of data is combining with an expectation to leverage seamlessly-integrated data in near-real time. However, data integration methods aren't keeping up.

Posted November 02, 2016

One hundred-fifty million people use Snapchat every day. Moreover, the playing field for mobile apps is much broader than MapQuest or Pokémon GO, the free-to-play, location-based augmented reality game for iOS and Android devices, which became so wildly popular this summer that there were reports of it causing some players to walk blindly off a cliff and others into traffic. To adequately manage this unprecedented level of capacity, data centers need to up their compute, storage, and memory capabilities.

Posted October 24, 2016

Business intelligence (BI) and analytics are at the top of corporate agendas this year, and with good reason. The competitive environment is intense, and business leaders are demanding they have access to greater insights about their customers, markets, and internal operations to make better and faster decisions—often in real time. There have also been dramatic changes with BI and analytics tools and platforms. The three Cs—cloud, consolidation, and collaboration—are elevating BI and analytics to new heights within enterprises and gaining newfound respect at the highest levels.

Posted October 24, 2016

Almost all database workloads are now (or eventually will be) virtualized. High availability (HA) clusters using virtual servers provide the application protection needed to satisfy even the most demanding service-level agreements (SLAs). Configuring the shared storage needed for HA in VMware can present challenges to creating these clusters and therefore satisfying SLAs.

Posted October 07, 2016

Organizational issues such as governance and skills—not technology requirements—are the greatest challenges that IT and corporate managers are facing in the emerging world of big data. To get a better handle on the complex new world big data is catalyzing, executives and professionals recognize they must reimagine and re-architect the concept of the "data center"—and what ultimately is coming out of may be a surprise to everyone. These are some key takeaways from a recent survey of 319 corporate and IT managers, conducted by Unisphere Research, a division of Information Today, Inc., in partnership with Cloudera and Intel.

Posted October 07, 2016

Internet of Things (IoT) devices are revolutionizing the way we share data and carry a huge charter to improve our banking, shopping, transportation, patient, and individual care and safety, to name a just a few. The mission is admirable, but with thousands of devices flooding the market, the lack of standards and multitude of security deficiencies are creating an on-ramp to corporate, government, and private networks that is wide open to cyberattacks.

Posted October 07, 2016

Cyberattacks happen. How can you recover quickly? If you are in IT management, everywhere you turn, you see warnings of malicious forces working diligently with the one aim of compromising your security and eating your data for lunch. It's not a question of if anymore but rather of when. Many times, the cybersecurity tools will not prevent the break-in, but only alert you of the compromise.

Posted October 07, 2016

There is a tug-of-war of sorts going on in organizations today. On one hand, there is pressure on IT staff to maintain systems' uptime and availability along with a growing focus on data security, while dealing with the multitude of maintenance-level tasks, such as applying upgrades, fixes, and patches. But on the other hand, there is a growing requirement for IT to support the business as it seeks to use data in new ways for strategic benefit.

Posted October 07, 2016

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