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Trends and Applications



It was more than 10 years ago that Microsoft's Steve Ballmer famously chanted "Developers! Developers! Developers!" while on stage. He's taken a good deal of ribbing about it, but he was on to something. Since then, developers have become ever more critical to organizations of all kinds. Today, it doesn't matter what industry you are in; odds are your company is, at least in part, a software company. Developers rule.

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

New and emerging vendors offer fresh 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 16, 2017

A new era of computing is unfolding with big data, cloud, and cognitive all converging at once. This confluence will transform how we do business and it's impacting all industries.

Posted June 16, 2017

The world of data management is constantly changing. Each year, the DBTA 100 spotlights the companies that are dealing with evolving market demands through innovation in software, services, and hardware.

Posted June 15, 2017

There are two types of businesses in the world today: those that run on data and those that will run on data. Data security now sits at the top of nearly every organization's priority list. But with such a high volume of data coming into most businesses every day, how can information security professionals quickly identify which data is the highest priority for protection? After all, security costs time and money, and not all types of data are as sensitive or vulnerable as others.

Posted June 01, 2017

The days of looking at your data in the rearview mirror are coming to an end. Most organizations now realize that if they want to make better decisions faster, they need to understand and respond to what is happening in real time. Such an ability to analyze data at the "speed of thought" requires figuring out how to build a high-performance and effective streaming pipeline that is both affordable and scalable, and is also easy to implement and manage.

Posted June 01, 2017

With data increasingly recognized as a highly valuable enterprise asset, data protection is understandably becoming a higher priority. To explore the issues surrounding data protection, including the role of people, processes, and technology in creating a proactive security stance, Database Trends and Applications is introducing the Cybersecurity Sourcebook.

Posted June 01, 2017

Data management is going through a paradigm shift—again, said Joe Caserta, president of Caserta Concepts, who delivered a keynote titled, "Architecting Data for the Modern Enterprise," at Data Summit 2017 in NYC.

Posted May 25, 2017

The world demands us to be available 24/7 and businesses are asking the same of their analytics. Apache Hadoop, Spark, Kafka, Kudu, and others are modernizing the data platform, providing real-time analytics and insights. Shant Hovsepian, CTO and co-founder of Arcadia Data, discussed strategies for enabling a real-time enterprise during his session, titled "Four Ways to Scale Interactive Analytics and BI for Real-Time Insights" at Data Summit 2017.

Posted May 25, 2017

BI and analytics are at the top of corporate agendas. Competition is intense, and, more than ever, organizations are demanding faster access to insights about their customers, markets, and internal operations to make better decisions. However, they are also facing challenges in powering real-time business analytics and systems of engagement. Analytic applications and systems of engagement need to be fast and consistent, but traditional database approaches, including RDBMS and first-generation NoSQL solutions, can be challenging to maintain, and costly, according to Aerospike CTO and co-founder Brian Bulkowski in a presentation at Data Summit 2017.

Posted May 25, 2017

Self-service analytics has many benefits, but it's also caused the data landscape within many companies to become like the Wild West, said Jon Pilkington, chief products officer at Datawatch, during a presentation, titled "Revolutionizing Self-Service Data Preparation & Analysis," at Data Summit 2017. The secret to better data and analytics outcomes, he says, is "data socialization."

Posted May 25, 2017

As many organizations begin to look to the cloud to increase the efficiency and availability of their databases and applications while reducing costs and complexity, one of the reasons for pause is concern about security. This year at Data Summit 2017, Michael Corey, director, cloud computing evangelist, Spectrum Enterprise Navisite, and Don Sullivan, product line marketing manager for Business Critical Applications, VMware, engaged in an entertaining conversation on the topic of cloud security.

Posted May 25, 2017

Hadoop and NoSQL databases have emerged as leading choices to capture and analyze big data by bringing new capabilities to the field of data management and analysis. At the same time, the relational database, firmly entrenched in most enterprises, continues to advance in features and varieties to address new challenges.

Posted May 05, 2017

Data security has been the source of dramatic changes in the last 10 years, influencing technologies and the way businesses operate globally. Data Summit 2017 will take a deep dive into evolving enterprise security considerations during the Data Security Forum moderated by Michelle Malcher, security architect at Extreme Scale Solutions. Data Summit 2017 takes place May 16-17 at the New York Hilton Midtown, with pre-conference workshops on May 15.

Posted May 05, 2017

As data centers evolve and become more advanced, so too should the tools that are built for them. The traditional approach of monitoring data centers results in reactive problem solving and more alerts than anyone can handle. As we move from reactively monitoring to proactively managing data centers, there will be fewer disruptions, faster resolution, and higher efficiencies. But in order to achieve meaningful gains in these metrics, the new approach and tools must support a critical functionality: automation.

Posted May 05, 2017

Data security is making headlines more frequently these days as breaches become a common daily occurrence. The implications are wide-reaching and span the healthcare, financial services, government, manufacturing industries and more. At Data Summit 2017, Robert Pearl, president of Pearl Knowledge Solutions, will examine the types of emerging cyber threats and how enterprises can stay ahead of the game by using the right tools to secure data.

Posted April 18, 2017

One of the significant changes enterprises should expect to gain speed this year is the expanding role of business users in IT. Fences around the IT landscape are slowly coming down and business users are playing an active part in the digital transformation. It's uncharted territory, driving an increased demand for information governance initiatives to help companies use data to navigate the transformation. Here are trends to watch as data and business users' roles evolve within IT and across the enterprise.

Posted April 18, 2017

As mobile has pushed deeper into enterprises, there is a growing recognition that it may be possible to run significant parts of businesses from relatively small devices. While mobile devices may not be ready to run entire enterprises, in many cases, they certainly can run more limited functions.

Posted April 18, 2017

Today's enterprise database environments are growing in size and complexity, fueled by rising data volumes and new business demands. Many databases that have been at the heart of existing enterprises to power mission-critical applications are now being positioned to support new Digital Native businesses. As a result, 24x7 high availability is no longer a luxury for select applications; it's a necessity for the bulk of the business—many organizations can no longer afford downtime in their data environments—even for a minute.

Posted April 18, 2017

Today's products and services connect to the world around its users. In an effort to help people support more devices and understand the Internet of Things space, Verizon launched ThingSpace, an IoT development platform that allows its enterprise customers to build and connect their own IoT applications.

Posted April 18, 2017

The top reasons for implementing Internet of Things projects include increasing new business revenue sources, increasing customer and product knowledge, and reducing operating expenses. DBTA recently held a roundtable webinar on how best to derive business value from IoT featuring Kevin Petrie, senior director and technology evangelist at Attunity; Jamie Morgan senior solutions architect at HPE Security - Data Security; and Becky Hanenkrat consulting sales specialist at North America database and data warehousing at IBM.

Posted April 18, 2017

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 database management expert Craig S. Mullins, who will present a talk on "Ensuring Data Integrity in Operational Databases Systems" at Data Summit 2017. Mullins is president and principal consultant of Mullins Consulting, an IBM Gold Consultant, and a DBTA columnist.

Posted April 18, 2017

Voting has opened for the 2017 Database Trends and Applications Readers' Choice Awards. Unlike other awards programs that rely on our editorial staff's evaluations, the DBTA Readers' Choice Awards are unique in that the winning information management solutions are chosen by you - the people who actually use them.

Posted April 07, 2017

Over the past 5 years, the volume of data that businesses use to stay relevant and operational has exponentially increased, and shows no signs of slowing. Within this vast quantity of data, the answers to critical business questions lie dormant, waiting to be accessed. Who are the most valuable customers? What are they buying? How can I get them to purchase more from me, and how can I find more like them?

Posted April 07, 2017

While not the most media-hyped technology, databases are certainly one of the most crucial when it comes to our always-online, always-connected society. Databases power not just the applications and websites we use every day, but the businesses that generate revenue and fuel the economy. The internet relies on functioning and well-performing databases to operate.

Posted April 07, 2017

"Temporality" is a term that database managers know well, but it may be a new one for business managers. That has to change, as the temporality your database supports­—or, how it handles time—could be the difference between whether or not the business will increase revenue, pay a fine, or identify new opportunities. Especially important in this regard is "bitemporality," which is the ability to examine data across different points in time.

Posted April 07, 2017

There is just one event held each year that presents the full array of Oracle Applications and Technology education under one roof from three major Oracle users groups.

Posted March 17, 2017

The Independent Oracle Users Group (IOUG) has represented the voice of data technologists and professionals for more than 20 years, and we are excited about how our community continues to grow and focus on peer-to-peer education and know-how. With that focus we are excited for our premier yearly event: COLLABORATE 17 - IOUG Forum.

Posted March 17, 2017

COLLABORATE 17: Technology & Applications Forum for the Oracle Community is set for April 2-6 in Las Vegas and, for Oracle users, there is simply nothing like being there. Packed with user-focused education and networking, COLLABORATE creates a welcoming atmosphere where participants can candidly share their ideas, challenges and questions.

Posted March 17, 2017

The Simple Storage Service (S3) outage that took place on Feb. 28 prompted observations and reflections from industry experts about the need for proactive cloud services monitoring, the requirement to diversify with multi-cloud strategies, and even the possibility of "too-big-to-fail" safeguards for large cloud services providers.

Posted March 02, 2017

Registration is open and the program is available for review for DBTA's 2017 Data Summit conference, a unique event that brings together IT practitioners and business stakeholders alike. This year's conference will take place at the New York Hilton Midtown from Tuesday, May 16, to Wednesday, May 17, with preconference workshops on Monday, May 15.

Posted March 02, 2017

There is a lot of lot of buzz around IoT, with many companies today seeking to find ways that machine to machine data will affect their industries and their own organizations, according to John O'Brien, principal advisor and CEO, Radiant Advisors, who will present a talk at Data Summit 2017 on "IoT Adoption & Maturity Today."

Posted March 02, 2017

Apache Spark offers a solid foundation for machine learning. There are other tools and packages to help you dive into deep learning, but Spark offers a consistent approach to data access and, therefore, makes machine learning on Spark easier as you need less plumbing.

Posted February 21, 2017

No one solution can be all things to all enterprises, and as enterprises began to deploy vSAN across their environments, they noticed a big thing was missing. Despite its many benefits, vSAN lacks support for a file system. The importance of having a file system within a data center cannot be overstated. Without a file system, the guest VMs (virtual machines) cannot share files between them and are forced to use an external NAS (network attached storage) solution as shared storage. Without a file system overlaying this data, it becomes laborious and impossible to scale efficiently.

Posted February 21, 2017

Data centers are now designed to not only accommodate current regulations and standards but also predicted capacity requirements, while simultaneously reducing operating costs by incorporating aisle containment structures. One solution offered by many experts in the field is the use of scalable or modular designs. The aisle containment structure is gaining popularity because it meets these goals by providing an infrastructure that is repeatable and rapidly deployable.

Posted February 21, 2017

Today's successful organizations are data-driven, and many are building, maintaining, and accessing databases that scale well beyond the terabyte range. In fact, many have total data assets that now measure in the petabytes. But it's not just the size of databases that is expanding.

Posted February 21, 2017

The desire to compete on analytics is driving the adoption of new technologies such as NoSQL and Hadoop to store and process large volumes of data. Jamie Morgan, senior solutions architect at HPE Security - Data Security, and Kevin Petrie, senior director and technology evangelist at Attunity, recently discussed key technologies and best practices for data integration, data quality, and data security during a DBTA roundtable webinar.

Posted February 21, 2017

Are enterprises more or less secure than 5 years ago? That's the big question of the moment, especially with ongoing revelations about state-sponsored hacking, as well as an unending stream of reports about customer and employee data being compromised by even the most seemingly security-conscious organizations. Awareness of data security is running at a fever pitch at the highest levels of government and business organizations. There have been plenty of technology advances, and awareness has grown. Still, the wave of breaches and threats never seems to abate, and likely never will.

Posted February 08, 2017

As businesses realize the importance of big data, adoption is on the rise. But big data is still not in full-scale production everywhere, and many companies say operational challenges hold them back. So what are the operational challenges that big data presents? It's a confluence of three key features of big data.

Posted February 08, 2017

Much like "The Blob" in science-fiction, machine data is growing rapidly - so much that it may expand beyond organizations' control. This data comes from applications, servers, sensors, storage, security systems and networks, and IDC has projected that it will comprise 42% of all data by 2020.

Posted January 16, 2017

As the Hadoop ecosystem matures, the consensus in the industry has been that adoption of Hadoop technology is steady amid continuing disruptive innovation within the open-source framework. However, acquiring or developing skills is one of the most widely cited challenges of integrating Hadoop into the enterprise, as is solution complexity and system integration.

Posted January 16, 2017

Open data is on the rise and freely available, bringing huge value and new features to applications. However, the challenge for developers is to efficiently wrangle, store, and deliver open datasets without having to build complex data architectures.

Posted January 16, 2017

Big data is not the end-all, be-all of marketing strategies. It's not that big data is too simplistic, rather, it's that our standard way of using data is limiting. Typical big data analytics are incapable of painting the full picture of consumer behaviors and often fail to quickly provide complete insights. When this happens, marketers end up with broad insights that miss the mark when translated into real-world advertisements and campaigns.

Posted January 03, 2017

The past year was a blockbuster one for those working in the data space. Businesses have wrapped their fates around data analytics in an even tighter embrace as competition intensifies and the drive for greater innovation becomes a top priority. The year ahead promises to get even more interesting, especially for data managers and professionals. Leading experts in the field have witnessed a number of data trends emerge in 2016, and now see new developments coming into view for 2017.

Posted January 03, 2017

As enterprises accelerate their movement of data into the cloud, a slew of new challenges are presenting themselves on the security front. For users of external or public cloud services, the risks are well understood. However, private and hybrid clouds are not immune to security vulnerabilities either. Thanks to private clouds, data is proliferating across various parts of the enterprise, along with the potential for insider abuse, according to a new Unisphere Research report.

Posted January 03, 2017

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