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Trends and Applications



The Internet of things (IoT) is the inter-networking of physical devices, vehicles (also referred to as "connected devices" and "smart devices"), buildings, and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to collect and exchange data.

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

The cloud continues to transform computing, making it less expensive, easier and faster to create, deploy, and run applications as well as store enormous quantities of data. The cloud offers services of all types, including software as a service, database as a service, infrastructure as a service, platform as a service, cloud puts a range of technologies within users' easy reach—when they need it, where they need it, with the ability to scale elastically.

Posted August 02, 2017

Storage solutions run the gamut of assisting a variety of use cases including backup and archiving, content storage and distribution, big data analytics, static website hosting, could-native application data, and disaster recovery.

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

Data modelers are responsible for creating and maintaining the conceptual, logical, and physical data models for an organization. These data models are used to define the data requirements that support the business goals, but business stakeholders often have difficulty understanding how these technical documents correlate to their business processes.

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

New and emerging vendors offer fresh ways of dealing with data management and analytics challenges in areas such as data as a service, security as a service, cloud in a box, and data visualization. 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

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