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Trends and Applications



As storage requirements continue to spiral upward, more organizations are relying on the cloud to help them do data management, backup, data warehousing, development/test and archive, according to a new research report, based on a survey among members of the IOUG that was conducted by Unisphere Research, a division of Information Today, Inc.

Posted June 17, 2016

With the increase in data sources, data types, and data management platforms, new obstacles can also appear, creating difficulties in combining data for important insights. During educational presentations on industry trends and technologies, keynotes, discussions, and hands-on workshops at Data Summit 2016, the philosophies and technical approaches that can help organizations be successful at putting their data to work were addressed.

Posted June 17, 2016

As the growing size and complexity of database environments strain resources at most IT departments, many are looking for ways to standardize infrastructure and automate routine tasks to free up assets. Joe McKendrick, lead research analyst at Unisphere Research, and Sam Lucido, director for technical applications marketing at EMC Corp., recently discussed strategies for Oracle users and IT, including the results of a new survey conducted in partnership with the IOUG, VMware, and EMC regarding obstacles data managers face while managing networks and delivering reliable information.

Posted June 17, 2016

What's on the horizon for big data, analytics, and business intelligence as technology evolves faster and faster? In Data Summit's 2016 closing keynote John O'Brien, principal analyst and CEO, at Radiant Advisors, discussed how technology will evolve and grow in the future.

Posted June 17, 2016

Here we go again - yet another world changing innovation. Billions of dollars are being invested to develop and deploy this next-generation industry. Many existing methods of doing business, and businesses themselves, will be disrupted and replaced by this new wave of technology. What is this wondrous new innovation? Why it is the Internet of Things (IoT) of course.

Posted June 17, 2016

It's rare now to read about breaches that resulted from direct attacks on the data center, as organizations have done a great job at securing their network infrastructures. But, with business applications moving to the cloud and mobile users connected all the time, traditional appliance-based security measures can no longer protect the modern business. The glass box is broken, the perimeter has vanished, and attacks have shifted to the weakest link: the user.

Posted June 09, 2016

The data manager now sits in the center of a revolution swirling about enterprises. In today's up-and-down global economy, opportunities and threats are coming in from a number of directions. Business leaders recognize that the key to success in hyper-competitive markets is the ability to leverage data to draw insights that predict and provide prescriptive action to stay ahead of markets and customer preferences. For that, they need to keep up with the latest solutions and approaches in data management. Here are 12 of the key technologies turning heads—or potentially opening enterprise wallets—in today's data centers.

Posted June 09, 2016

The IT landscape is always shifting and being contoured by external market forces and internal industry initiatives. Against this changing backdrop, each year, DBTA presents a list of 100 companies that matter in data, compelling us to pause and reflect on the market changes taking place.

Posted June 06, 2016

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Emerging and newer vendors can offer fresh, innovative ways of dealing with data management and analytics challenges. Here, DBTA looks at the 10 companies whose approaches we think are worth watching.

Posted June 06, 2016

With newer and newer big data sources exploding onto the scene, traditional data warehouses are being challenged. Satya Bhamidipati, director of business development of big data and advanced analytics at Oracle, discussed data mining and advanced analytics techniques that will enable the monetization of data during a session at Data Summit 2016.

Posted May 25, 2016

Thanks to the cloud and other empowering technologies such as Hadoop and Apache Spark, we're at the tipping point for big data. These technologies now provide a path to big data success for companies who otherwise lack the specialized big data skills or heretofore proprietary (and expensive) infrastructure to do it themselves. As 2016 progresses, we'll see the broader market put big data capabilities to work and the benefits of big data will, in turn, spread beyond the privileged few companies that were early big data adopters.

Posted May 25, 2016

Utilizing data lakes are an alluring option for users with an enormous amount of information, yet questions remain regarding data accuracy, security, and relevancy. Three experts in the big data space, including Anne Buff, business solutions manager for SAS best practices at the SAS Institute, Abhik Roy, database solution engineer at Experion, and Tassos Sarbanes, data architect at Credit Suisse, participated in a roundtable discussion at Data Summit 2016 that focuses on these questions and more regarding data lakes.

Posted May 25, 2016

The OpenStack Trove database as a service (DBaaS) project has come a long way since incubation in Grizzly and Havana, and integration in the Icehouse release in April 2014. At that time, it supported single instances of MongoDB, MySQL and a few other databases. Today, Trove supports Cassandra, Couchbase, CouchDB, DataStax Enterprise, DB2 Express, MariaDB, MongoDB, MySQL Percona, Percona XtraDB Cluster, Redis, and Vertica.

Posted May 25, 2016

COLLABORATE, the annual conference presented each year by the OAUG, IOUG and Quest, provides the opportunity to reflect on key changes in the Oracle ecosystem and allows the users groups to engage with their constituents about the areas of greatest importance. With the COLLABORATE 16 conference now behind her, Dr. Patricia Dues, the new president of the OAUG, talked with DBTA about what OAUG members are concerned with now and how the OAUG is helping them address emerging challenges.

Posted May 25, 2016

Big data represents an enormous shift for IT, said Craig S. Mullins in a presentation at Data Summit 2016 in NYC that looked at what relational database professionals need to know about big data technologies. Mullins, a principal of Mullins Consulting, and the author of the DBA Corner column for DBTA, provided an overview of the changes that have taken place in the DBTA arena in recent years, and the key technologies that are having high impact.

Posted May 25, 2016

The world's data has doubled in 18 months' time. The industry estimates that the global amount of storage will reach 40 ZB by 2020. Historically, storage architectures were built on solutions that could only scale vertically. This legacy approach to storage presents significant challenges to being able to store the tremendous quantities of data being created today in a way that is cost-effective and maintains high levels of performance. Today, most of the world's data centers are still using vertical scaling solutions for storage, which means that organizations are seeking alternatives that allow them to scale cheaply and efficiently in order to remain competitive. And now, with software defined storage moving forward, we see the use of more scale-out storage solutions in data centers.

Posted May 04, 2016

The elastic and distributed technologies used to run modern applications require a new approach to operations — one that learns about your infrastructure and assists IT operators with maintenance and problem-solving. The inter-dependencies between new applications are creating chaos in existing systems and surfacing the operational challenges of modern systems. Solutions like micro services architectures alleviate the scalability pains of centralized proprietary services but at a tremendous cost in complexity.

Posted May 04, 2016

The latest release of Oracle Database (12.1.0.2) offers a unique set of features that portend increases in application workload execution, especially for analytics and data warehousing queries. This release, debuts Oracle Database In-Memory which provides a new columnar format - the In-Memory Column Store (IMCS) - for data that is likely to be accessed regularly for aggregation or analysis, as well as other features such as In-Memory Aggregation and In-Memory Joins that potentially offer several orders of magnitude of performance improvement. Finally, the new In-Memory Advisor makes short work of determining exactly which database objects are most likely able to take advantage of the IMCS.

Posted May 04, 2016

With the speed of business constantly increasing, the demand for real-time data has grown along with it. As business-driven demands on data speed heighten, however, some organizations are still inhibited by slow moving data that can't keep up. New strategies must be created to process data at the speed that is expected from today.

Posted April 25, 2016

Along with an increasing flow of big data that needs to be captured and analyzed, IT departments today also have more solution choices than ever before. However, before making a solution selection, organizations need to understand their requirements and also evaluate the attributes of the possible tools.

Posted April 25, 2016

The COLLABORATE 16 conference for Oracle users kicked off with a presentation by Unisphere Research analyst Joe McKendrick who shared insights from a ground-breaking study that examined future trends and technology among 690 members of three major Oracle users groups.

Posted April 25, 2016

The greatest power in using IoT-derived insights is the ability respond to opportunities or threats immediately. However, enterprises largely have focused on historical reporting and will need to significantly modernize their analytics capabilities—both in understanding current events and predicting future outcomes—to take advantage of the new insights that IoT data can bring.

Posted April 25, 2016

The need for data integration has never been more intense than it has been recently. The Internet of Things and its muscular sibling, the Industrial Internet of Things, are now being embraced as a way to better understand the status and working order of products, services, partners, and customers. Mobile technology is ubiquitous, pouring in a treasure trove of geolocation and usage data. Analytics has become the only way to compete, and with it comes a need for terabytes—and gigabytes—worth of data. The organization of 2016, in essence, has become a data machine, with an insatiable appetite for all the data that can be ingested.

Posted April 25, 2016

Database as a service, also known as DBaaS, offers a solution to some key issues that have vexed enterprise database shops for years. That is, how to maintain and update back-end technologies; how to integrate data from multiple, changeable sources without the need to rewrite the applications that depend on them; and how to make data readily accessible to end users who need it regardless of the device they are using.

Posted April 25, 2016

Ever wonder what happened to artificial intelligence? It's gotten easier and more accessible. In fact, AI's been embedded into some of the most fundamental aspects of data management, making those critical data-driven processes more celeritous and manageable. Best of all, AI is directly responsible for producing this effect for end users—those who rely on data most to do their jobs.

Posted March 31, 2016

Virtualized Oracle databases, just like all virtual machines, share physical server resources with other virtual machines running on the same hypervisor. We'll call virtual machines that reside on the same hypervisor "siblings." VM sibling rivalries occur due to resource shortages caused by improper virtual machine placement. Databases generally have more severe ramifications when resource shortages occur than other virtualized applications, making good sibling behavior crucial for your Oracle databases.

Posted March 31, 2016

With well over a hundred open source projects now part of the Hadoop ecosystem, it can be hard to know which technologies are best for which requirements. To help users get started with Hadoop and understand their technology choices, James Casaletto will present "Harnessing the Hadoop Ecosystem" at Data Summit 2016 in NYC. Casaletto is a solutions architect for MapR, where he develops and deploys big data solutions with Apache Hadoop.

Posted March 31, 2016

Successful data-driven organizations are differentiated by the fact that they recognize the need for new tools and technologies that support data visualization, and enable a visual culture of data discovery in its people, processes, and technologies.

Posted March 31, 2016

From POODLE, Heartbleed, and Shellshock in 2014, to the Hacking Team breach, OpenSSL's FREAK, and a variety of zero-day vulnerabilities in 2015, we have seen a consistent ramp-up in security threats and successful data breaches. 2016 is the time for businesses to take their collective managerial and accounting heads out of the sand and build security into every level of their products and processes.

Posted March 22, 2016

Many businesses have implemented new enterprise resource planning (ERP) systems, expecting business benefits to magically fall into place, only to be disappointed. According to recent studies, 25% of ERP implementations fail, and at least 80% exceed budget or take longer than the originally planned development time. This is not good for business in more way than one.

Posted March 22, 2016

In recent years there has been an explosion of innovation in the database market. A popular rating report recently included more than 30 vendors in its 2015 report. And, organizations today are realizing how specific and complex their evolving needs are, and that they cannot solely rely on the "big three."

Posted March 22, 2016

For those whose brackets took a blow after just the first several games of the 2016 NCAA men's basketball championships, this year's tournament may provide a case in point on the value of analytics over sentiment.

Posted March 22, 2016

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