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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

How rapidly digital transformations have occurred since 2007. A decade ago organizations had not yet turned en masse to leverage social platforms such as Facebook. Consumer technology and its potential went largely ignored and companies were mainly focused on data mining, search technology, and virtual collaboration. Surely it is time for a new generation of intelligent data modeling to step up and enable advertisers and marketers to target consumers more accurately.

Posted October 06, 2017

Apache Cassandra is a popular open source, distributed, key-value store columnar NoSQL database used by companies such as Netflix, eBay, and Expedia for strategic parts of their business. When combined with Apache Ignite, Apache Cassandra becomes even more powerful, allowing it to be used for today's most demanding web and cloud applications.

Posted October 06, 2017

Regardless of industry, the ability to collect, manage, and intelligently leverage data will clearly be a differentiator for the foreseeable future. Executives in healthcare are acutely aware of the disruption being driven by this new paradigm and understand that this trend is impacting every sector, from banking to farming to manufacturing. Ultimately, investing time and resources in data collection and analysis is only valuable if it provides insight for making proactive, tactical decisions. Innovative companies today are using big data and analytics to drive attributable revenue and compete more effectively.

Posted September 20, 2017

Linear scaling with legacy storage appliances is no longer an option. The burden that traditional architecture feels from today's tsunami of data is surpassed only by the cost required to meet current and future demands. Aside from the huge expense, this method of increasing storage capacity would take too long. Even adding multiple servers could not accommodate storage demands. Vertical storage architecture contains bottlenecks that slow performance to an unacceptable level. Software-defined storage (SDS) scales horizontally instead, making it a popular option.

Posted September 20, 2017

It's still months away, but it is never too early to start thinking about the holiday shopping season, especially since most Americans are already anticipating outages and system failures from their favorite online retailers. According to a survey, 52% of shoppers expect to experience an outage on days like Black Friday and Cyber Monday. When web and mobile sites buckle under huge volumes of traffic and experience outages, retailers lose revenue, and their brands suffer significantly. To prepare for the busiest online shopping season, companies need to ensure their systems are ready for extreme scalability and continuous IT operations, year-round.

Posted September 20, 2017

Cybersecurity is a top of mind concern for CIOs, as the number of companies who fall victim to cyber attacks and data breaches increases every year. Attacks are becoming more common, sophisticated, and costly. Executives and IT professionals alike know the importance of enterprise security, yet companies' security policies frequently fail to address one key area of vulnerability to organizations—employee mobile devices.

Posted September 07, 2017

What's Ahead at Oracle OpenWorld 2017

Posted August 24, 2017

On Sunday at Oracle OpenWorld, several Oracle user groups, including the IOUG, will bring the experiences of our users and experts to San Francisco and share with thousands of our peers. If you're coming to OpenWorld, I can't say enough about how important it is to participate in the Sunday Program.

Posted August 24, 2017

An education, networking and advocacy forum for users of Oracle Applications, the Oracle Applications Users Group (OAUG) helps members connect to find the solutions they need to do their jobs better and to improve their organizations' ROI in Oracle Applications. Each year during Oracle OpenWorld, the group hosts geographic (Geo) and special interest group (SIG) meetings as well as additional opportunities for networking and education.

Posted August 24, 2017

We've heard the term "digital transformation" used almost to the point of exhaustion in the past couple of years—but it's not just a lot of hot air: It's the future. Organizations must update their legacy architecture to remain current in the new enterprise landscape, and mainframe rehosting offers 10 key advantages

Posted August 18, 2017

At the SHARE summer 2017 event in Providence, RI, Harry Williams, SHARE's president, reflected on the changes taking place in the enterprise technology ecosystem, and what's ahead for the IBM users group and the industry overall.

Posted August 18, 2017

We're still very much in the early days of artificial intelligence (AI). However, money is pouring into AI initiatives at astounding rates, and enterprises need to move at a deliberate speed to adopt and leverage AI across their systems, applications, and data.

Posted August 09, 2017

The future value of hybrid cloud computing is to empower customers to embrace a cloud strategy of their own, versus being dictated by a vendor. A hybrid cloud environment is defined by the customer—a hybrid cloud solution should not dictate where or which cloud the customer must use with their on-premise installation. Although this may seem obvious, large vendors often ignore this critical point, as they dictate choices based on their (lack of) capabilities.

Posted August 09, 2017

Hackers are rarely far from the news these days, whether they're perpetrating cyber-intrusions into political campaigns or take-downs of major retail websites, social media sites, movie studios, or entertainment conglomerates. But some of the "hacking" headlines can be deceiving. In fact, a significant number of cybersecurity breaches around the digital world actually represent a kind of all-too-familiar crime that is as old as the abacus.

Posted August 09, 2017

Best Data Modeling Solution

Posted August 02, 2017

The 2017 DBTA Readers' Choice Award Winners

Posted August 02, 2017

Coined over a decade ago, the term "polyglot persistence" has come to be seen as a shorthand phrase in the database world for using the best tool for the job, or in other words, the right database for the data storage need at hand. Today, that might mean NoSQL, NewSQL, in-memory databases, and cloud databases—also known as database as a service—approaches.

Posted August 02, 2017

The rise of new data types is leading to new ways of thinking about data, and newer data storage and management technologies, such as Hadoop, Spark, and NoSQL, are disruptive forces that may eventually result in what has been described as a post-structured world. But while Hadoop and NoSQL are undoubtedly growing in use, and a wider array of database management technologies in general is being adopted, the reality is that at least for now the relational database management system is still reigns supreme and is responsible for storing the great majority of enterprise data.

Posted August 02, 2017

Best Cloud Database

Posted August 02, 2017

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 02, 2017

Best MultiValue Database

Posted August 02, 2017

As data stores grow larger and more diverse, and greater focus is placed on competing on analytics, processing data faster is becoming a critical requirement. 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 02, 2017

In the new world of big data and the data-driven enterprise, data has been likened to the new oil, a company's crown jewels, and the transformative effect of the advent of electricity. Whatever you liken it to, the message is clear that enterprise data is of high value. And, after more than 10 years, there is no technology more aligned with advent of big data than Hadoop.

Posted August 02, 2017

Best Database Administration Solution

Posted August 02, 2017

Geographically spread-out development teams with varied skill levels and different areas of proficiency, ever-faster software development cycles, multiple database platforms—all this translates to a challenging development environment that database development solutions providers seek to streamline.

Posted August 02, 2017

If data is the new oil, then getting that resource pumped out to more users faster with fewer bottlenecks is a capability that must be achieved. The issue of under-performing database systems cannot be seen as simply an IT problem. Remaining up and running, always available and functioning with lightning speed today is a business necessity.

Posted August 02, 2017

In today's always-on economy, database downtime can inflict a mortal wound on the life of a business. That's why 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. Today, close to one-fourth of organizations have SLAs of four nines of availability or greater, meaning they require less than 52 minutes of downtime per year, according to a recent Unisphere Research survey.

Posted August 02, 2017

The unending stream of bad news about data breaches shows no sign of abating, with a raft of breaches far and wide involving organizations such as health insurance companies, businesses, government agencies, and the military. The average consolidated cost of a data breach grew to $4 million in 2016, while the average cost for each lost or stolen record containing sensitive and confidential information reached $158, according to IBM's 2016 annual cost of a data breach study.

Posted August 02, 2017

With more data streaming in from more sources, in more varieties, and being used more broadly than ever by more constituents, ensuring high data quality is becoming an enterprise imperative. In fact, as data is increasingly appreciated as the most valuable asset a company can have, says DBTA columnist Craig S. Mullins, data integrity is not just an important thing; it's the only thing. If the data is wrong, then there is no reason to even keep it, says Mullins.

Posted August 02, 2017

Best Data Governance Solution

Posted August 02, 2017

Best Data Integration Solution (Overall)

Posted August 02, 2017

Best Data Replication Solution

Posted August 02, 2017

Change data capture (CDC) is a function within database management software that makes sure data is uniform throughout a database. CDC identifies and tracks changes to source data anywhere in the database, and then applies those changes to target data in the rest of the database.

Posted August 02, 2017

Best Data Virtualization Solution

Posted August 02, 2017

Best IoT Solution

Posted August 02, 2017

Streaming data solutions can evaluate data quickly and enable predictive analytics based on sources of rapidly changing data—including social media, sensors, and financial services data, to head off future problems, machine failures, natural disasters, and take advantage of unfolding opportunities.

Posted August 02, 2017

Business intelligence incorporates a variety of tools that enable organizations to collect data from internal systems and external sources, prepare it for analysis, develop, and run queries against the data, and create reports, dashboards and data visualizations.

Posted August 02, 2017

Big data analytics examines large amounts of data to uncover hidden patterns, correlations, and other insights. Organizations have an increasing number of concerns today with respect to big data. There is the challenge posed by the sheer volume of information that is being created and saved every day as well as the lack of understanding about the information in data stores and how best to leverage it.

Posted August 02, 2017

Data visualization allows enterprises to create and study the visual representation of data, empowering organizations to use a tool to "see" trends and patterns in data. A primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics.

Posted August 02, 2017

Best Cloud Solution

Posted August 02, 2017

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