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
Best Data Storage Solution
Posted August 02, 2017
At the core of big data lie the three Vs - volume, velocity, and variety. What's required are solutions that can extract valuable insights from new sources such as social networks email, sensors, connected devices as sensors, the web, and smartphones. Addressing the three Vs are the combined forces of open source, with its rapid crowd-sourced innovation, cloud, with its unlimited capacity and on-demand deployment options, and NoSQL database technologies, with their ability to handle unstructured, or schema-less, data.
Posted August 02, 2017
If there is a "bottom line" to measuring the effectiveness of your big-data applications, it's arguably performance, or how quickly those apps can finish the jobs they run. Let's consider Spark. Spark is designed for in-memory processing in a vast range of data processing scenarios. Data scientists use Spark to build and verify models. Data engineers use Spark to build data pipelines. In both of these scenarios, Spark achieves performance gains by caching the results of operations that repeat over and over again, then discards these caches once it is done with the computation.
Posted July 14, 2017
Microsoft's SQL Server platform has been on a roll lately, with its smooth and feature-rich SQL 2016 release gaining accolades across the industry, including the DBMS of the Year award from db-engines.com. The company's increased focus on cloud, strong BI tool set, impressive functionality and emerging cross-platform capability with SQL on Linux has made this RDBMS a staple of database shops around the world.
Posted July 14, 2017
Software audits are becoming a major risk to organizations. Microsoft, Oracle, SAP and other leading software vendors keep close tabs on their customers for potential license violations and true-up costs. A common occurrence is deploying more copies of software than the license agreement allows. But taking software inventory is a time-consuming and laborious process. A better approach is an integrated ITAM and asset information source.
Posted July 14, 2017
DevOps—the close working alliance between development and operations teams—is catching hold in enterprises dependent on continuously and frequently delivering new versions of software, whether for internal consumption or external services.
Posted July 05, 2017
It's been long acknowledged that data is the most precious commodity of the 21st-century business, and that all efforts and resources need to be dedicated to the acquisition and care of this resource. Lately, however, executives have become enamored with the vision of transforming their organizations into "data-driven" enterprises, which move forward into the future on data-supported insights. So, what, exactly, does the ideal "data-driven enterprise" look like?
Posted July 05, 2017
Big data has been in vogue for years, but many businesses are having a lot of difficulty harnessing value and gaining insights from the voluminous amounts of data they collect. However, there is an often-ignored set of data in the enterprise that is truly actionable, data that can be described as "active" data.
Posted July 05, 2017
Gone are the days of 2-year software development projects. Now organizations are striving for code updates that drop monthly, weekly, even daily. A developer will say, "I need a workable copy of Oracle today." And IT responds, "OK, we'll have that in about 2 weeks." What's a developer to do? Sometimes this leads to the use of synthetic datasets (one might also refer to this simply as "fake data"). These never work as well as real data, and the result is more bugs and slower software development. Other times the Dev/Test side of the house will expense spinning up a bunch of systems in the cloud, so-called "shadow IT."
Posted June 16, 2017
"Platforms" are all the rage in software positioning and messaging. And recently, a new platform has become the "platform du jour" - driven by the urgency felt by enterprises as they struggle to manage an increasing amount of data and an increasing number of data formats all generated from an increasingly number of applications on an increasingly diverse mix of infrastructure - the "data platform."
Posted June 16, 2017