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Trends and Applications



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

It's an opportunity that comes around only once a year. COLLABORATE is the single event that delivers the full range of Oracle applications and technology presented by three independent Oracle users groups: the Independent Oracle Users Group, the Oracle Applications Users Group, and the Quest International Users Group.

Posted March 21, 2016

The Independent Oracle Users Group (IOUG) has represented the voice of Oracle technologists and professionals for more than 20 years, and we are so proud of how our community has not just grown but maintained its adaptive approach that centers on peer-to-peer education and know-how. We hope that you share our sense of pride as we celebrate the technology community's marquee event: COLLABORATE 16-IOUG Forum.

Posted March 21, 2016

The OAUG volunteers planning COLLABORATE 16: Technology and Applications Forum for the Oracle Community (April 10-14 at Mandalay Bay in Las Vegas) are themselves Oracle users and technologists, understanding innately the myriad options and challenges faced by the wider user community in a period of rapid change and transformation. With participation and contributions from all corners of the user community, COLLABORATE offers the information and perspective to make sense of it all.

Posted March 21, 2016

Quest International Users Group supports customers using JD Edwards or PeopleSoft ERP, as well as related Oracle edge applications—products that are important to the success for many companies in today's challenging business environment. At COLLABORATE 16 and throughout the year, Quest is your top resource!

Posted March 21, 2016

MySQL is a popular open source database and one of the top relational databases—and with good reason. It is an extremely feature-rich and powerful database platform. With all its positives, however, MySQL has a number of challenges that can limit its ability to perform with the agility and performance businesses increasingly require. Here's a quick look at how to optimize MySQL for your ever-changing environment.

Posted March 03, 2016

As more businesses leverage applications that are hosted in the cloud, the lines between corporate networks and the internet become blurred. Accordingly, enterprises need to develop an effective strategy for ensuring security. The problem is, many of today's most common approaches simply don't work in this new cloud-based environment.

Posted March 03, 2016

The world of IT operations has always had a big data problem. Instrumentation of end users, servers, application components, logs, clickstreams, generated events and incidents, executed notifications and runbooks, CMDBs, Gantt charts—you name it, people in the IT operations area have had to cope with mountains of data. And yet the scope of the problem has been enlarged once again, thanks to industry-wide trends such as bring-your-own-device, the Internet of Things, microservices, cloud-native applications, and social/mobile interaction.

Posted March 03, 2016

With the holiday shopping season now behind us, it's interesting to note that 2015 marked the 10th anniversary of Cyber Monday, a term coined in 2005. Cyber Monday is still a big deal for retailers. In other words, it's game time for data centers. Now is the time to start thinking about how to improve availability and resilience in 2016. Look ahead to 2016 with a vision for bringing your IT service operations to a new level of maturity.

Posted February 24, 2016

The rapid change taking place in software-defined applications and infrastructure was one of the top 10 IT tech trends to watch last year. Certainly, some advancements have been made in this area over the past year. But how far does the industry still need to go? Here are 5 trends that will shape application and infrastructure availability in 2016.

Posted February 24, 2016

There is no denying the fact that cloud-based software and computing services are now accepted as the norm. This change has profound implications on how software applications are architected, delivered, and consumed. This change has ushered in a new generation of technology and an entirely new category in data integration. Today, there are 10 new requirements for an enterprise data integration technology:

Posted February 24, 2016

Storage requirements are growing by leaps and bounds, and more organizations are turning to cloud computing to manage the load. However, cloud isn't necessarily seen as the best approach to data storage bursting—rather, it's mainly being used for backup and for hosting development and test environments, according to a new survey.

Posted February 10, 2016

Cloud-borne data is becoming commonplace—at least at the edges of the enterprise. Organizations are relying, both formally and informally, on cloud-based services for supplemental storage, file sharing, and content management. The challenge now is to bring core enterprise data into the cloud, to render data ranging from financials to sales to performance analytics as services.

Posted February 10, 2016

The business world continues to shortchange a critical step between storing and analyzing the explosion of new data expected over the coming years. A business can quickly move from the old world of siloed, unusable data to a new one where stakeholders around the globe can find information in a few minutes from their local access points. The "findability" of data is particularly important for Global 1000 companies pursuing Industrial Internet-related innovation.

Posted January 27, 2016

As data continues to explode, DBAs must constantly stay a step ahead by finding new ways to improve database efficiency and performance. Managing data in today's complex IT environment requires creative approaches to a number of different DBA processes. Here are useful tips in five main categories that can help DBAs keep their heads above water and allow their companies to more effectively utilize their data to drive business value.

Posted January 27, 2016

As the largest ticketing agency in America, Ticketmaster is responsible for processing between 150,000 and 300,000 transactions a day, and 5,000 transactions a minute during peak times. To service its customers, Ticketmaster has used Dell's SharePlex for replication and high availability to support its online sales since 2002.

Posted January 27, 2016

When it comes to data protection, every business environment has a unique set of requirements and needs, whether they are looking to secure legacy applications, mobile data, cloud apps, virtualized environments, or any number of different workloads. Unique data requires a unique solution, and yet countless vendors are advertising one-stop solutions described as "one-size-fits-all." But buyer beware: When something seems too good to be true, it usually is, and an easy, one-size-fits-all solution may save you some short term time and money, but can result in major headaches and unforeseen costs in the long run.

Posted January 27, 2016

Recent shifts are driving the adoption of a number of technologies and tools, including containers, which are garnering big attention from investors. The primary advantage of containers is allowing applications to look uniform as they cross between non-production and production environments, and between on-premise and cloud. However, containers on their own, while critical to speeding adoption of DevOps and hybrid cloud deployment, are not sufficient.

Posted January 07, 2016

Exponential data growth is hitting organizations of all sizes hard. It's not enough to merely add more capacity; recovery point objectives must be met, and time is money when it comes to data recovery. The simple truth is that to be effectively managed, adequately protected and completely recovered, your data size must be shrunk.

Posted January 07, 2016

Today, the success of many startups hinges upon the ability to gain insights from rapidly growing data. Yet startups and smaller businesses often don't have the resources to hire a full-scale data science team, especially considering the painful data scientist shortage that's making it difficult for even large enterprises to find qualified candidates. Here are three approaches companies can adopt to deal with their big and complex data analytics challenges in 2016.

Posted January 07, 2016

What's ahead for 2016 in terms of cloud, IoT, big data, analytics, and open source technologies? IT executives gaze into their crystal balls, and weigh in on the upcoming challenges and opportunities ahead in the next year - and beyond.

Posted December 14, 2015

Traditionally, the cardinal rule has been to model data first and load it later. But with new technologies and repositories such as Hadoop, NoSQL, and data lakes, and big data itself, the rule is being flipped to load first and model later. And, with SQL remaining an effective and widely embraced query language, companies have to balance working with traditional methods against the need for some of the newer methods as well.

Posted December 14, 2015

The modern business landscape is a fast-moving, ever-changing, highly competitive environment. For companies to outpace the competition and build upon innovation, they must embrace a modern data architecture. It is necessary that this new architecture support today's new requirements such as mobile integration and advanced digital marketing.

Posted December 02, 2015

It is often said that the only constant is change. For data executives and professionals, the coming year will only bring a lot more of it. Developments as diverse as cloud, big data, real time, NoSQL, analytics, and the Internet of Things (IoT) will continue to reshape enterprise data operations and opportunities as we know them. Here are 16 trends that will shape the enterprise data landscape in 2016.

Posted December 02, 2015

There's no question that the pace of data movement has quickened dramatically in recent years. This calls for new strategies for integrating data at the speed of business. That is the challenge as companies increasingly rely on data analytics in their decision making. In a new survey, a majority of managers and professionals (57%) state their business leaders now rely heavily on analytics in their day-to-day decision making. The survey, covering 303 data managers and professionals and conducted by Unisphere Research, a division of Information Today, Inc., finds that organizations are employing a range of new strategies and approaches to improve the speed of data delivery and integration. The survey, among members of the Independent Oracle Users Group (IOUG), and sponsored by Oracle, included respondents from organizations of all sizes and across various industries.

Posted December 02, 2015

The pressure is on for organizations to react faster to changing opportunities and risks by leveraging data to improve decision making. In addition to well-established data management approaches such as relational, MultiValue, and the mainframe, there are now hybrid scenarios incorporating cloud, NoSQL, Hadoop, Spark, and other open source projects. Here, Database Trends and Applications magazine presents the list of Trend-Setting Products for 2016.

Posted December 02, 2015

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