Newsletters




Trends and Applications



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

Best Data Replication Solution

Posted August 08, 2018

Cyberattacks are becoming the number-one risk to businesses, brands, operations, and financials, according to recent "SonicWall Cyber Threat Report" (March 2018).  There were 9.32 billion malware attacks in total in 2017, representing an 18.4% increase over 2016. On the other hand, Verizon's Data Breach Investigations Report (DBIR) shows that more a quarter of the time, data breaches across the world originated from an organization's "insiders." But the report notes, malicious employees looking aren't the only insider threat you face. Errors were at the heart of almost one in five (17%) breaches.

Posted August 08, 2018

Best Data Storage Solution

Posted August 08, 2018

Best Data Virtualization Solution

Posted August 08, 2018

Today's data visualization tools go beyond the standard charts and graphs used in Excel spreadsheets, displaying data in more sophisticated ways such as infographics, dials and gauges, geographic maps, sparklines, heat maps, and detailed bar, pie and fever charts. The images may include interactive capabilities, enabling users to manipulate them or drill into the data for querying and analysis.

Posted August 08, 2018

Companies are increasingly looking for the right database for the data storage need at hand. That might mean NoSQL, NewSQL, in-memory databases, and cloud databases—also known as database as a service—approaches. 

Posted August 08, 2018

Best DBA Solution

Posted August 08, 2018

Database downtime can inflict a fatal wound on the life of a business and having a trusted backup solution that can ensure that databases can be back up and running quickly in the event of an outage is critical. With long downtimes simply unacceptable, organizations seek solutions with capabilities such as the ability to manage backups seamlessly, manage and monitor backups, ensure data integrity, scale efficiently restore quickly to any point in time, and provide security features to stay in compliance with local geographic and industry mandates.

Posted August 08, 2018

Best Database Development Solution

Posted August 08, 2018

Best Database Performance Solution

Posted August 08, 2018

After more than 10 years, there is no technology more aligned with advent of big data than Hadoop. The Apache Hadoop framework allows for the distributed processing of large datasets across compute clusters, enabling scale up from single commodity servers to thousands of machines for local computing and storage. Designed to detect and handle failures at the application layer, the framework supports high availability.

Posted August 08, 2018

In-memory technology has become a relied-upon part of the data world, now available through most major database vendors. In-memory can process workloads up to 100 times faster than disk-to-memory configurations, which enables business at the speed of thought.

Posted August 08, 2018

Best IoT Solution

Posted August 08, 2018

MultiValue database technology continues to boost a strong following of loyal supporters. This NoSQL database technology is found in many industry verticals, including retail, travel industry, oil & gas, healthcare, government, banking, and education. Highly customized, mission-critical applications have been built on MultiValue database technology, which is sometimes called the fifth NoSQL database technology. The MultiValue database dates back to the mid-1960s, with Don Nelson and Dick Pick widely credited as the founding fathers of the technology. Also referred to as Pick or MultiDimensional, a key advantage of MultiValue, is the database structure's use of attributes that can have multiple values, rather than one single value as with relational technology.

Posted August 08, 2018

Addressing the need to store and manage increasingly large amounts of data that does not fit neatly in rows and columns, NoSQL databases can run on commodity hardware, support the unstructured, non-relational data flowing into organizations from the proliferation of new sources, and are available in a variety of structures that open up new types of data sources, providing ways to tap into the institutional knowledge locked in PCs and departmental silos.

Posted August 08, 2018

A relational database is a set of formally described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. The standard user and application programming interface (API) of a relational database is the Structured Query Language (SQL). SQL statements are used both for interactive queries for information from a relational database and for gathering data for reports.

Posted August 08, 2018

Still a relatively new solution coming into its own streaming platforms allow individuals to see data in real-time batches. Streaming solutions can help businesses analyze data in motion, simplify the development of applications, and extend the value of existing systems by integrating with already implemented applications along with supporting both structured and unstructured data.

Posted August 08, 2018

Connecting Business in a Decentralized IT World: Q&A with Dell Boomi's Steve Wood

Posted July 02, 2018

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

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
28

Sponsors