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A distributed cloud database is a database in which operational data is spread across different physical locations—for example, across different data centers, across hybrid clouds (such as private and/or public clouds), different public cloud regions of a public cloud, or even different public clouds.

Posted July 02, 2018

"ECM is dead," proclaimed Michael Woodbridge in a Gartner blog post earlier this year. And, the fact is, today's legacy enterprise content management (ECM) systems and other traditional approaches to managing information are no longer feasible in a world where 2.5 quintillion bytes of data are created every day—resulting in general confusion when itcomes to document management.

Posted July 02, 2018

Today's business landscape is more dynamic than ever. Stringent regulations, new revenue models, and high customer expectations are forcing organizations to evolve or face being overrun by more nimble competitors. Chief data officers (CDOs) and chief information officers (CIOs) of established businesses are looking to digital transformation as a key initiative to drive organizational change.

Posted July 02, 2018

You are moving to the cloud. That means your data is moving to the cloud, too. But, are you prepared for the challenges that you will face when moving your databases to the cloud?

Posted July 02, 2018

The hype around blockchain technology as it relates to cryptocurrencies such as bitcoin is reaching an all-time high, but enterprise organizations are taking a longer-term, more measured approach.

Posted July 02, 2018

There's a new generation of technologies reshaping data management as we know it. To explore some of the game-changing technologies or approaches that are having the most profound impact on today's enterprises, DBTA asked industry experts and leaders to cite what they see as having the most positive impact. The following are eight areas effecting the most change.

Posted July 02, 2018

A shifting environment—from batch-oriented databases housed in server rooms to digital, software-defined data centers powering analytics-driven business decisions—has led to a dramatic expansion of the DBA or data management role.

Posted July 02, 2018

DBTA 100 2018 - The Companies That Matter Most in Data

Posted June 14, 2018

NVMe quickly gained a foothold in the client space as the storage interface of choice for higher end desktops, laptops, and even phones. In the enterprise space NVMe has been used as a direct-attached storage (DAS) option, where storage is accessed through a PCIe interface on the CPU within the server. The advent of NVMe over Fabrics (NVMe-oF) promises to expand the utility of NVMe in the datacenter beyond just a DAS replacement, which will push the demand for flash storage even higher.

Posted June 01, 2018

The unprecedented volumes of data now pouring forth from virtualization technologies and cloud-based infrastructure have taxed traditional storage architectures beyond their limits. Organizations want to store their data in an efficient and affordable way that is also flexible. Software-defined storage (SDS) meets these criteria and, therefore, is enjoying a surge in adoption.

Posted June 01, 2018

It's spring-cleaning season, meaning many diligent homeowners are busy trying to organize their closets and homes in preparation for the spring and summer. Organizations, both small and large, also must keep up with cleaning their virtual dust bunnies on a regular basis, just as one would do within their own home.

Posted June 01, 2018

Since the EU's General Data Protection Regulation (GDPR) took effect in May 2018, organizations have  hopefully already emerged from the strategy phase and are now well into implementation. However, the nuances of GDPR are something most of us are still trying to comprehend—and we probably won't truly understand all of it for a while. In the hustle to reach compliance, errors will likely have been made. In the process of GDPR planning and execution, there are four key areas that companies need to be wary of. If not managed carefully, they can slow down the process of achieving, and maintaining, compliance goals.

Posted June 01, 2018

Neural networks and deep learning are frequently recognized as the key to futuristic innovations like facial recognition, with consumers paying up for the novelty of using their visage to unlock their phones, and police squads partnering with AI startups to catch criminals. But the use cases for neural nets extend well beyond those flashy scenarios, and innovations in hardware are enhancing accessibility, signaling that it's time for more companies to find appropriate business cases for their industry.

Posted May 08, 2018

Organizations worldwide are grappling with the requirements of the European Union's General Data Protection Regulation (GDPR) and it's no secret that finding ways to remain compliant has become one of the most visible challenges, and one that has dominated the conversation. What's more pertinent; however, is the root of the problem: outdated systems which organizations use to track and understand where their data lives. This has grown more difficult day-by-day, as the amount of data collected by organizations grows exponentially. GDPR is a good forcing function to spur them to dig into this problem before it gets worse.

Posted May 08, 2018

Cybersecurity Sourcebook 2018 Looks at Evolving Data Threat Landscape

Posted May 08, 2018

Voting Ends Friday for the 2018 DBTA Readers' Choice Awards

Posted May 08, 2018

With the General Data Protection Regulation (GDPR) deadline quickly approaching in May, many organizations are scrambling to get their customer information systems in order to meet the requirements. Any company that collects and processes the personal data of European citizens and residents—whether it is names, IP addresses, photos, videos, health and biometric info, or other types of data—will be impacted.

Posted April 12, 2018

Today's global economy runs on data. Every day, individuals are providing data, while companies collect it. The rapid growth and volume of this data has been overwhelming and nearly impossible to manage. But, as the value of data increases, so does the interest from outside, including potentially nefarious sources. What's required are newer, specific safeguards that address the myriad of data challenges brought about by the digital age.

Posted April 12, 2018

Bitcoin was the hot topic in financial and tech circles in 2017. The decentralized digital currency jumped from just under $1,000 at the start of the year to a $20,000 all-time high in December. The real game-changer here isn't Bitcoin, though, but the technology that powers it, known as blockchain. Despite volatility and suspicion marking the crypto-market, the blockchain concept could be a truly revolutionary innovation.

Posted April 12, 2018

If you're looking for a popular database management system (DBMS) platform, Microsoft SQL Server is a solid choice. Research from Gartner shows it's among the most widely deployed platforms in the category—second only to Oracle—with more than 20% of the DBMS market's $34.4 billion total. SQL Server also is experiencing rapid growth. Industry data from 2016 shows that SQL Server revenue rose more than that of Oracle and even of the market overall, with 10.3% growth.

Posted April 12, 2018

Digitization is transforming business faster than ever before—with software and technology now deeply ingrained in the core of organizations' operations and business functions, rather than siloed in IT. While companies reap the benefits of digital transformation, not every organization is prepared for the double-edged sword that comes with the widespread implementation of software and technology: audits.

Posted April 12, 2018

"Digital transformation" is a term that can both unite and divide audiences in a single conversation. Delve into the topic at a conference or a cocktail party, and people within earshot will quickly agree that it's a good thing—an initiative that every organization should undertake if it wants to stay competitive. But just as quickly, the same people will start a debate about what digital transformation really is and what an organization should do to make it happen.

Posted April 12, 2018

The impact of cognitive computing technologies—including artificial intelligence (AI) and machine learning (ML)—is increasingly being felt in data centers and database operations of all sizes, across all industries. Research shows that AI and related cognitive technologies are no longer just experiments conducted by computer or data scientists—they are part of a real-world technology wave that is already showing tangible business results.

Posted April 12, 2018

Every organization is unique. So is every Oracle user. Enter COLLABORATE 18: Technology and Applications Forum for the Oracle Community (April 22-26 in Las Vegas). Designed to serve the evolving educational needs of today's users, COLLABORATE offers 12,00 informative sessions and events carefully selected by volunteers, Oracle pros themselves, from a global call for content. While there's no "one-size-fits-all," there is something for everyone.

Posted March 14, 2018

From April 22 to April 26, 2018, Oracle users from across the world will gather in Las Vegas to attend the largest, user-led, user-focused event where you can get the real story about Oracle products, while experiencing in-depth education and networking to take your Oracle products to the next level.

Posted March 14, 2018

Everything around us today is an outcome of the Industrial Age. The 250-plus years of changes allow a toaster in every house, a car in every driveway, and a computer in every pocket. It's hard to imagine the amount of change that workers have gone through during this period. We are now on the journey through the Information Age, and it continues to change our world every day. The future is not written, but I know who will create it: Those that seek out the change.

Posted March 14, 2018

Citizen Developers Are Encouraged and Are Delivering Value

Posted February 01, 2018

An astounding array of new technologies and approaches have emerged on the database scene over the past few years that promise to turn the next 12 months into a time of unprecedented transformation for the database landscape. There are new developments, along with reinforcement of tried-and-true technologies, some of which may help make the jobs of data managers just a bit easier.

Posted February 01, 2018

As we get deeper into winter, temperatures may be dropping, but data science in the enterprise will remain red hot as more organizations look to harness the power of data. Data science gives organizations the insights needed to improve business outcomes across industries. With "data scientist" topping the list of best jobs in the U.S. and the number of data science positions skyrocketing,  every company needs to get onboard the data train or risk getting run over by the competition. In particular, there are a few industries that are turning up the heat on data science in the coming year: aviation, cybersecurity, law enforcement, retail, and human resources. An eclectic list for sure, but all areas that are ripe for data science. 

Posted February 01, 2018

Large enterprises are facing a debt crisis. Not financial debt, but "data debt." It's a form of technical debt, and it can hamstring an organization's capacity to tackle new challenges and stifle its ability to innovate. For most large enterprises, the root of this problem lies in years of treating the data generated by their operational systems as a form of exhaust rather than as a fuel to deliver great services, build better products, and create competitive advantage.

Posted February 01, 2018

Download any app onto a smartphone these days and you'll be prompted by the same question: Do you want to turn location services on? For consumers, letting Google Maps or Waze know exactly where you are is a must — it's the essence of why those apps exist. But have you ever wondered why other types of businesses, from grocery stores to social media platforms, want to know where their patrons are at all times?

Posted February 01, 2018

Data lakes are often viewed as the ultimate silo breakers, integrating mountains of data frompoint solutions for ERP, CRM, enterprise data warehouse, cloud and on-premises applications.However, if the enterprise data lake is not leveraged appropriately, it often ends up being just adata dump or worse still a "data swamp."

Posted January 02, 2018

Self-service data discovery has been the buzz word in the BI industry for the past 3 years and is touted as the solution to many problems. Yet, the BI industry has a dismal adoption rate of only 22%, which has plagued the industry for several years. In response to this grim number, we must look around for a solution in other sectors that provides self-service to millions of people without any IT support. In essence, we are looking for a self-service paradigm that can give us insights about how to solve the adoption challenge and learn from it.

Posted January 02, 2018

The deadline looms on the horizon. On May 25, 2018, the European Union will enact some of the most stringent data privacy regulations the world has ever seen. These regulations will impact thousands of companies around the world, not only EU-based organizations but any company that collects or processes personal data on EU residents. The General Data Protection Regulation (GDPR) recognizes the "fundamental right" of people to control what data is stored about them and how it is used.

Posted January 02, 2018

Robotic process automation (RPA) is gaining enterprise acceptance, as the C-suite welcomes the concept of reduced costs and improved productivity through automation. RPA's foundational technology consists of an army of intelligent software robots that mimic the actions of real people and eliminate manual, repetitive work by humans—cascading positive impact on the bottom line. By leveraging the automation power of a robot, organizations not only make their processes run more efficiently but also enable business groups to monitor processes over time and learn where further improvements can be made.

Posted January 02, 2018

There are two prevailing views when it comes to blockchain and enterprise data. One is that it's the most secure solution ever to come along. The other is that it is the fad of the moment that puts essential data in the unregulated wilds of the global internet.

Posted January 02, 2018

To sustain and drive viable businesses now, and into the rapidly changing future, IT needs to stop firefighting. Reacting when things go wrong—after an incident has caused damage—incurs costs.  Taking a proactive, preventative approach using predictive knowhow moves IT out of the proverbial hot seat and gives them much-needed control to keep critical business systems up and running.

Posted January 02, 2018

Trend-Setting Products in Data and Information Management for 2018

Posted December 07, 2017

There never has been a more interesting time to be involved in the data management field. Data not only has become "the new oil" but is also the catalyst that is powering organizations to new heights of success. The past year has seen the rise of powerful analytics and an embrace of new tools and platforms emerging to more effectively tap into the power that data offers. DBTA reached out to industry experts to document the most important trends shaping data management in 2018.

Posted December 01, 2017

Data is a powerful tool, but it's all too often out of reach of the very people who need it most. That is changing as the model for consuming technology and the technology itself evolves to better support the needs of companies working at the speed of digital.

Posted December 01, 2017

In just a few months, HR departments will be flooded with a raft of new resumes from new graduates looking to enter the workforce. But next year's crop of new talent has some key differences from those in years past. They - and members of the class of 2017 before them - are widely considered to be among the first young people from Generation Z, the successor of Millennials, to enter the workforce. This generation is even more digitally savvy. In fact, they have never lived in a world without the internet, meaning not only are they comfortable with technology, they expect it at every turn.

Posted December 01, 2017

Breaches are becoming increasingly common as hackers gain more access to personal information such as social security numbers, credit cards, etc. Now another attack could be under way as researchers have discovered a key flaw in the WPA2 Wi-Fi encryption protocol. This flaw could allow hackers to intercept credit card numbers, passwords, photos, and other sensitive information.

Posted December 01, 2017

Over the past few years, the scale, speed, and power of analytics have been dramatically transformed. The amount of data available from the internet, combined with advances in software to make use of it, has created a practice called "big data analytics." It can provide types of information that were not available in the recent past and it has the potential to do so in real-time.

Posted December 01, 2017

The staid relational database has been under attack from all quarters—it's too inflexible, it's too siloed, it's too slow for today's real-time requirements. However, relational databases still power many of the most critical data environments across enterprises—both core legacy systems as well as new-age systems of engagement. In today's enterprises, then, the question becomes: How are new technologies—especially the cloud and NoSQL databases—affecting relational database adoption?

Posted November 01, 2017

Real-time data delivery represents the next frontier of intelligent enterprises, and there is great potential value in the ability to immediately sense and respond to opportunities and threats. At the same time, enterprises are encumbered by existing or legacy technologies and methodologies that may add latency to their data-delivery efforts. What will a real-time enterprise look like?

Posted November 01, 2017

According to our friends at Quest International Users Group, in parallel with its discussions about cloud applications, Oracle delivered many OpenWorld presentations and announcements about cloud platforms and infrastructure.

Posted November 01, 2017

In today's data-driven world, it's hard to find a company that doesn't take its data management and protection seriously. Google CEO Eric Schmidt has been quoted as saying that every 2 days, we create as much information as we did from the dawn of civilization up until 2003. This statistic alone highlights the importance and need for top notch database administrators (DBAs) to manage the fast-growing data landscape among today's modern heterogeneous database environment.

Posted October 18, 2017

Marketers, IT professionals, cloud experts, and regulatory teams all rely heavily on the availability of data on a near-daily basis. And while some of that data is within the walls of the organization, much of it is compiled from outside sources—which is often taken and used without permission. Enter GDPR.

Posted October 18, 2017

The way MarkLogic CEO Gary Bloom sees it, interest in artificial intelligence is soaring: Everyone wants to talk about it and everyone wants to apply intelligence for better insights and better decisions. But there is just one problem.

Posted October 06, 2017

Threats against personal, organizational and government data have spawned increasing security measures and legislation, a prime example being the European Union (EU) General Data Protection Regulation (GDPR). The GDPR's official site calls it "the most important change in data privacy regulation in 20 years."

Posted October 06, 2017

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