Everything around us today is an outcome of the Industrial Age. The 250-plus years of changes allow a toaster in every house, a car in every driveway, and a computer in every pocket. It's hard to imagine the amount of change that workers have gone through during this period. We are now on the journey through the Information Age, and it continues to change our world every day. The future is not written, but I know who will create it: Those that seek out the change.
Posted March 14, 2018
Citizen Developers Are Encouraged and Are Delivering Value
Posted February 01, 2018
An astounding array of new technologies and approaches have emerged on the database scene over the past few years that promise to turn the next 12 months into a time of unprecedented transformation for the database landscape. There are new developments, along with reinforcement of tried-and-true technologies, some of which may help make the jobs of data managers just a bit easier.
Posted February 01, 2018
As we get deeper into winter, temperatures may be dropping, but data science in the enterprise will remain red hot as more organizations look to harness the power of data. Data science gives organizations the insights needed to improve business outcomes across industries. With "data scientist" topping the list of best jobs in the U.S. and the number of data science positions skyrocketing, every company needs to get onboard the data train or risk getting run over by the competition. In particular, there are a few industries that are turning up the heat on data science in the coming year: aviation, cybersecurity, law enforcement, retail, and human resources. An eclectic list for sure, but all areas that are ripe for data science.
Posted February 01, 2018
Large enterprises are facing a debt crisis. Not financial debt, but "data debt." It's a form of technical debt, and it can hamstring an organization's capacity to tackle new challenges and stifle its ability to innovate. For most large enterprises, the root of this problem lies in years of treating the data generated by their operational systems as a form of exhaust rather than as a fuel to deliver great services, build better products, and create competitive advantage.
Posted February 01, 2018
Download any app onto a smartphone these days and you'll be prompted by the same question: Do you want to turn location services on? For consumers, letting Google Maps or Waze know exactly where you are is a must — it's the essence of why those apps exist. But have you ever wondered why other types of businesses, from grocery stores to social media platforms, want to know where their patrons are at all times?
Posted February 01, 2018
Data lakes are often viewed as the ultimate silo breakers, integrating mountains of data frompoint solutions for ERP, CRM, enterprise data warehouse, cloud and on-premises applications.However, if the enterprise data lake is not leveraged appropriately, it often ends up being just adata dump or worse still a "data swamp."
Posted January 02, 2018
Self-service data discovery has been the buzz word in the BI industry for the past 3 years and is touted as the solution to many problems. Yet, the BI industry has a dismal adoption rate of only 22%, which has plagued the industry for several years. In response to this grim number, we must look around for a solution in other sectors that provides self-service to millions of people without any IT support. In essence, we are looking for a self-service paradigm that can give us insights about how to solve the adoption challenge and learn from it.
Posted January 02, 2018
The deadline looms on the horizon. On May 25, 2018, the European Union will enact some of the most stringent data privacy regulations the world has ever seen. These regulations will impact thousands of companies around the world, not only EU-based organizations but any company that collects or processes personal data on EU residents. The General Data Protection Regulation (GDPR) recognizes the "fundamental right" of people to control what data is stored about them and how it is used.
Posted January 02, 2018
Robotic process automation (RPA) is gaining enterprise acceptance, as the C-suite welcomes the concept of reduced costs and improved productivity through automation. RPA's foundational technology consists of an army of intelligent software robots that mimic the actions of real people and eliminate manual, repetitive work by humans—cascading positive impact on the bottom line. By leveraging the automation power of a robot, organizations not only make their processes run more efficiently but also enable business groups to monitor processes over time and learn where further improvements can be made.
Posted January 02, 2018
There are two prevailing views when it comes to blockchain and enterprise data. One is that it's the most secure solution ever to come along. The other is that it is the fad of the moment that puts essential data in the unregulated wilds of the global internet.
Posted January 02, 2018
To sustain and drive viable businesses now, and into the rapidly changing future, IT needs to stop firefighting. Reacting when things go wrong—after an incident has caused damage—incurs costs. Taking a proactive, preventative approach using predictive knowhow moves IT out of the proverbial hot seat and gives them much-needed control to keep critical business systems up and running.
Posted January 02, 2018
Trend-Setting Products in Data and Information Management for 2018
Posted December 07, 2017
There never has been a more interesting time to be involved in the data management field. Data not only has become "the new oil" but is also the catalyst that is powering organizations to new heights of success. The past year has seen the rise of powerful analytics and an embrace of new tools and platforms emerging to more effectively tap into the power that data offers. DBTA reached out to industry experts to document the most important trends shaping data management in 2018.
Posted December 01, 2017
Data is a powerful tool, but it's all too often out of reach of the very people who need it most. That is changing as the model for consuming technology and the technology itself evolves to better support the needs of companies working at the speed of digital.
Posted December 01, 2017
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