Newsletters




Trends and Applications



In recent years, an unprecedented numbers of companies have moved to the cloud, which is a trend that shows no sign of slowing. Most companies have moved at least part of their data holdings to the cloud, and many more will follow suit in the next few years, effectively shifting data's center-of-gravity from the data center to the cloud. Many are also leveraging multiple vendors, such as Amazon and Microsoft, as part of a multi-cloud strategy that leverages the best features of multiple offerings. Unfortunately, many of the gains realized by cloud technologies will be lost to downtime during the migration.

Posted March 04, 2019

The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR. By improving how they pursue machine learning, Scott contends, organizations can attain benefits in both long-term costs and maintenance.

Posted March 04, 2019

At the Cloud Economic Summit in San Francisco, a new consortium called the FinOps Foundation was announced to share best practices for managing the cost of cloud computing. According to the foundation, cloud spending is now a material amount of total IT spend. Similar to the way DevOps ushered in a new way of thinking about development and operations, the foundation says, the FinOps operating model is a combination of systems, best practices, and culture that aims to bring financial accountability to the variable spend model of cloud.

Posted March 04, 2019

In a post-GDPR world, the attention rests on which companies will be impacted by data breaches, what the total fines will be, and what the public scrutiny will entail. Though the impact of the fines—4% of a company's annual worldwide revenue or €20 million ($22.9 million) (whichever is greater)—is certainly eye-catching, a data  breach could leave a company destabilized for years afterwards.

Posted February 08, 2019

In the days of cloud computing and agile development, it might seem that being a DBA is somewhat less appealing as a career choice. However, the role of DBA is changing; it is not going away. In fact, it is becoming even more important.

Posted February 08, 2019

Increasingly, cloud services are seen as a vital resource in the data manager's toolkit. There's good reason why cloud is a preferred option: There are simply not enough on-premise resources to keep up with the growth of data management requirements. Organizations keep evolving, business priorities keep shifting, data compliance requirements keep expanding, and user demands keep growing. Already, one-fourth of corporate data is being maintained by cloud providers, and data managers intend to move as much of their data environments into the cloud as soon as they can. 

Posted February 08, 2019

The past year brought many data breaches and incidents of PII mishandling. With confidential information being compromised routinely, data privacy regulations are also on the rise. Here, top IT executives reflect on the current data security landscape and what we can expect in 2019.

Posted January 02, 2019

Although Windows and Linux were traditionally viewed as competitors, modern IT advancements have ensured much needed network availability between these ecosystems for redundancy, fault tolerance, and competitive advantage.

Posted January 02, 2019

It is the combination of Docker and Kubernetes that is creating a tipping point that will accelerate the industry toward a serverless world capable of powering business agility, lowering administration and management, and disrupting costs.

Posted January 02, 2019

In nearly every industry today, organizations are challenged with finding efficient, secure methods to manage and share data related to transactions, contracts, assets and more. From finance and real estate to healthcare and retail, information silos and disparate databases create operational inefficiencies and make true collaboration between business parties difficult to achieve. However, a new technology has emerged that allows companies to break down these data silos and digitally connect multiple systems, partners and customers: Blockchain.

Posted January 02, 2019

Big data continues to be top of mind while new technologies are also emerging to reel in and uncover important insights. In 2018, a variety of solutions came to the fore and 2019 is setting the stage for another data explosion. Here, several experts in the big data space offer their predictions for what's ahead in 2019.

Posted January 02, 2019

Trend-Setting Products in Data and Information Management for 2019

Posted December 05, 2018

Increasingly, DBAs are seeing artificial intelligence (AI), and machine learning applied to database management and optimization, taking self-healing and self-tuning to the next level. These solutions, from both database and third-party vendors, allow DBAs to spend less time searching for bottlenecks, and more time doing more productive and creative work in support of strategic business goals.

Posted December 04, 2018

Everything changes—especially when we seek to automate tasks. Automation is leading to amazing consumer benefits—from vehicles to clothing to voice-activated devices—and making our lives better. In the workplace, as automation becomes applied to repetitive tasks that are being handled manually, people become concerned about their livelihoods. Will they lose their jobs? How will they provide for themselves and their family? How will automation impact them personally?

Posted December 04, 2018

The year just ending has been an interesting one for data managers. Artificial intelligence (AI) and machine learning took center stage, which also meant an increasingly glaring spotlight on data sourcing, management, and viability. The continued rise of the Internet of Things (IoT) also meant no letting up on demands for data environments to deliver requirements fast and furiously. The year ahead will bring more of the same—as well as a continuation of the transformation of information management.

Posted December 04, 2018

How fast and far can databases grow, and how can such growth be sustained? That's the question faced by many data managers these days, who deal with growing demands from their businesses for real-time, analytical capabilities, incorporating data-driven initiatives such as the Internet of Things and artificial intelligence. They are responding and keeping up with these requirements through a combination of cloud resources and automation.

Posted December 04, 2018

In this new world where data is the coin of the realm, the winners will be enterprises who can quickly and effectively harness data—the right data—to reduce risk, improve business outcomes, and create new value for their customers, employees and other stakeholders. As they work to realize this goal, enterprises are increasingly finding that activating copy, backup, archived and other data located on secondary storage can be just as, if not more, useful for driving digital transformation as the production and original data located on their primary storage.

Posted November 01, 2018

While AI and machine learning cannot—yet—turn back time, cognitive technologies can analyze data in ways that were previously unattainable. Manual modeling on past failure patterns executed by "data scientists" is nothing new, but data analysis performed by AI-powered platforms builds cognitive learning which not only can learn from past failure patterns but more importantly learn to detect issues not known or seen before.

Posted November 01, 2018

There's no easy answer to the dilemma of infrastructure decline. But the obvious response, to attack the problems in piecemeal fashion, clearly doesn't work. That's what organizations have been doing all along: bringing in faster processors, adding databases, deploying more clouds. These may offer temporary relief, but eventually they'll just add to data complexity and congestion.

Posted November 01, 2018

There's a renaissance happening in organizations today. Process automation is now ‘in vogue' again. It's no doubt that robotic process intelligence and artificial intelligence are driving this renaissance, helping to transform the enterprise. But what that transformation looks like is another question entirely.

Posted October 10, 2018

Data lakes have helped organizations deal with the massive amounts of data generated daily. They are intended to serve as a central repository for raw data, a treasure trove for data scientists to analyze and gain actionable insight. They also serve as the foundation for many "self-service" analytics initiatives. While getting data into a lake is simple, getting insight and value from all of that data, however, has proven to be challenging for many organizations. A recent Forrester report found that 60%-73% of all enterprise data goes unused for analytics. This statistic exposes some of the harsh realities of data lakes.

Posted October 10, 2018

Shortly after contracting with a cloud service provider, a bill arrives that causes sticker shock. There are unexpected and seemingly excessive charges, and those responsible seem unable to explain how this could have happened. The situation is urgent because the amount threatens to bust the IT budget unless cost-saving changes are made immediately. But this cloud services sticker shock is often caused by mission-critical database applications, as these tend to be the most costly for a variety of reasons.

Posted October 10, 2018

To stay competitive in today's digitally driven market, the modern enterprise must keep pace with end users' expectations. Customers and employees alike want access to information anytime, anywhere, giving them the flexibility to work, shop, bank, and live on their own terms. While most forward-looking organizations are making strides to deliver this remote access—largely by moving to a hybrid IT model—many are still limited by the state of their back-end infrastructures.

Posted October 10, 2018

These days, clouds are everywhere, providing today's database managers with an impressive range of options to choose from—including public cloud, private cloud, and, for most, somewhere in between in the hybrid realm. There may be multiple variations within a single organization, and these distinct hybrid environments are constantly evolving as well. These may be "intentional" and "accidental" hybrid environments, but accidental or not, "variety" is the watchword for many hybrid projects.

Posted October 10, 2018

There is no shortage of content flowing through today's enterprises, including data, documents, graphics, videos, and more. This is raw material that provides a wealth of opportunities—many of which are untapped—to businesses. The catch is that this data and content is scattered across various systems inside and outside of enterprises. Plus, there is not enough understanding of who views which content, and what is motivating them to consume the content. As more organizations seek to embrace digital transformation, they are turning to content automation as a way to deliver information quickly and effectively to their customers.

Posted October 10, 2018

The Oracle Applications Users Group (OAUG) is committed to the education, networking, and advocacy of Oracle Applications users. Each year during Oracle OpenWorld, the group hosts special interest group (SIG) meetings as well as additional opportunities for networking and education. 

Posted September 20, 2018

Quest Oracle Community (formerly Quest International Users Group) just rebranded and launched a fully redesigned digital experience to better meet customer needs amidst the rapidly changing landscape of business technology and Oracle solutions. Quest offers Oracle users a wealth of resources through webinars, blogs, customer stories and more, along with support from a community of users with similar interests.

Posted September 20, 2018

2018 is an exciting year for Oracle OpenWorld, with as much change in the event format as there is in the technology. The Independent Oracle Users Group (IOUG) will be well represented in the Content Catalog, as over 20 members are scheduled to present on the hot topics for data professionals.

Posted September 20, 2018

What to Expect at Oracle OpenWorld 2018

Posted September 04, 2018

The Open Mainframe Project has announced Zowe, an open source software framework that bridges the divide between modern applications and the mainframe, intended to provide easier interoperability and scalability among products and solutions from multiple vendors. Zowe is the first open source project based on z/OS.

Posted September 04, 2018

As the industry embraces artificial intelligence and marches toward autonomous systems, some enterprises will still need to rely on traditional databases that must be managed, tuned, and secured to ensure the best performance. And while not all organizations will be able to make the autonomous transition quickly due to internal processes, there are a few tricks to optimize your old database with terabytes of data at speeds needed for everything from e-commerce to IoT and music streaming services on a global scale.

Posted September 04, 2018

Data integration aims to provide a unified and consistent view of all enterprise wide data. The goal is to logically (and sometimes also physically) unify different data sources or data silos to provide a single unified view which is as correct, complete, and consistent as possible.  

Posted September 04, 2018

There's been a lot of discussion recently about autonomous databases, which offer the promise of keeping database systems stable and performant while alleviating much of the tuning and configuration drudgery that DBAs must typically slog through. It is important to note that an autonomous database needs to strike a balance between giving administrators too much and too little control. Too much control takes the form of endless configuration and tuning parameters that place the burden of performance and stability on the operator. Too little control takes the form of automated behaviors that reduce the predictability of the system to an unacceptable level.

Posted September 04, 2018

One of the most important shifts in data warehousing in recent times has been the emergence of the cloud data warehouse. Previously, setting up a data warehouse required a huge investment in IT resources to build and manage a specially designed on-premise data center. Now, several cloud computing vendors offer data warehousing functions as a service (DWaaS), accessible via an Internet connection. This model negates the costly capital expenditure and management required for an on-premise data warehouse.

Posted September 04, 2018

Everyone wants to be part of a data-driven enterprise, and for good reason. Data analytics, when applied in a meaningful way, provides an enormous competitive advantage. There's a catch to this though that frequently gets overlooked amidst the glowing analyst projections and keynote speeches about a limitless future in which systems and machines do all the heavy lifting and thinking for businesses. Data—the right kind, in the right sequence, in the right context—doesn't just magically drop out of the cloud. It needs to be discovered, identified, transformed, and brought together for analysis, management, and eventual storage.

Posted September 04, 2018

Costly data breaches are on the rise—2017 was a record-setting year in terms of cybersecurity incidents, with more than 14.5 billion malware-infected emails sent and 1.9 billion data records stolen in the first 6 months of the year.

Posted August 08, 2018

This year is an expansive one for the database ecosystems that have evolved around the major platforms. Artificial intelligence (AI), machine learning, the Internet of Things (IoT), and cloud computing are now mainstream offerings seen within the constellations of database vendors, partners, and integrators.

Posted August 08, 2018

This may seem contradictory at first glance: Fresh data from the database user community finds that data lakes continue to increase within the enterprise space as big data flows get even bigger. Yet, at the same time, enterprises appear to have pulled back on Hadoop implementations.

Posted August 08, 2018

Cool Companies in Cognitive Computing for 2018

Posted August 08, 2018

The 2018 DBTA Readers' Choice Awards Winners

Posted August 08, 2018

Best Big Data Platform

Posted August 08, 2018

Best BI Solution

Posted August 08, 2018

Best Change Data Capture Solution

Posted August 08, 2018

Best Cloud Solution

Posted August 08, 2018

Best Cognitive Solution

Posted August 08, 2018

The big focus in analytics today is on access for all, and the ability to not only see what happened in the past but what is going on now or about to take place. A recent survey by Forbes Insights and Dun & Bradstreet of more than 300 senior executives across a broad range of industries confirmed that the goal of many organizations is to develop a data-driven culture, but also finds there is still plenty of work to be done to make that a reality.

Posted August 08, 2018

Best Data Governance Solution

Posted August 08, 2018

Today, data is both the output and the fuel of companies. For many however, the process of becoming a data-driven organization is hindered inflexible systems that were created years and even decades earlier.

Posted August 08, 2018

Best Data Modeling Solution

Posted August 08, 2018

Today, data quality solutions are available in the cloud as software as a service as well as on premise, and support the necessary data integrity for critical systems such as customer relationship management, master data management, data governance initiatives, and database management, as well as for regulatory compliance initiatives—including the E.U.'s new General Data Protection Regulation (GDPR).

Posted August 08, 2018

Pages
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27

Sponsors