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Trends and Applications



The ability to quickly act on information to solve problems or create value has long been the goal of many businesses. But with the combination of greater volume, variety, and velocity, the situation is becoming more vexing. Fortunately, there are business intelligence solutions today with capabilities to support strong data strategies.

Posted August 14, 2019

Each year, Database Trends and Applications presents the Readers' Choice Awards, providing a unique opportunity to recognize companies whose products are selected by experts whose opinions carry more weight than any others—you, the readers. Here we present the top three vote-getters in each category. Congratulations to all and thanks to everyone who submitted nominations and voted!

Posted August 14, 2019

While IT has evolved significantly in the past decade as hardware and software innovations accelerate and customers seek solutions that increase efficiencies and lower costs, one aspect has remained the same: backup. And as the dependence on data grows for business insights and analytics, backup will only become more important in IT.

Posted August 07, 2019

As access to data and data sources continues to explode, businesses are being forced to rethink their data strategies to consider more information and power real-time intelligent decisions. That is, however, easier said than done. With the amount of data available that is pouring in from a myriad of sources, it can be difficult to identify what provides value, and what is just noise. Increased data and cloud growth has led to data integration challenges.

Posted August 07, 2019

We've reached the point where hybrid cloud arrangements have become commonplace in enterprises, and with this trend come implications for databases and data management. The rise of both hybrid and multi-cloud platforms means data needs to be managed in new ways, industry experts point out. And, there are lingering questions about which data should go into the cloud, and which should stay on-premise.

Posted August 07, 2019

With the emergence of data-intensive activities such AI and the Internet of Things, workloads are getting heavier for data managers. Data managers have seen increases in data volume over the last 3 years and expect this trend to continue. They are also finding it difficult to keep up with this growth. Many DBAs manage more than 10 databases, with some handling hundreds.

Posted August 07, 2019

No single tool can ensure perfect security. That's why layering multiple tools and approaches is considered a best practice to reduce vulnerability to attacks. It has become more apparent in recent years that management tools form a vital security layer. Think of it this way: A window lock is a security tool. Closing the windows is management. Neither is enough by itself.

Posted August 07, 2019

"Hey Google, what's the cost of noncompliance?" Failing to comply can cost you $56.8 million—the dollar figure Google owes for breaking the EU's General Data Protection Regulation (GDPR). While this multi-million dollar mistake delivers a hit to the tech giant's reputation and checkbook, it has far-reaching implications for any organization with an online presence.

Posted August 07, 2019

Earlier this year, Google became the first major tech giant to be hit with a General Data Protection Regulation (GDPR) fine—approximately $56.8 million. The stated reason: not giving users enough information about consent policies and sufficient control over how their personal data was being used. However, according to a recent report, 86% of businesses use live customer data for application testing because testers believe this provides the most realistic assessment of how an application will perform "in the wild" for real people. This poses significant risk to organizations.

Posted July 18, 2019

Data Summit 2019 in Boston drew industry experts with deep knowledge spanning all areas of enterprise IT, including AI and machine learning, analytics, cloud, data warehousing, and software licensing who presented 3 days of thought-provoking sessions, keynotes, panel discussions, and hands-on workshops. Here are some key takeaways from the Data Summit 2019.

Posted July 18, 2019

Considering the importance that applications play in operating and/or driving commerce in many organizations, it is no wonder that DevOps is the crucible for these businesses' long-term health and realization of their roadmap.s In some enterprises—such as Amazon, Airbnb, Netflix, and Uber—the application set is the business. In others, there is more to the business than just the app—but the app plays a critical role to an initiative or process. The monumental significance of apps in either case has required the DevOps team to work with ingenuity, clarity, speed, and deep pragmatism in turning thoughts, ideas, and intended experiences into reality.

Posted July 18, 2019

Everyone leaves an employer at some point. Better opportunities, reduction in workforce actions, termination, or management issues can all result in an employee departure. No matter the reason, everyone eventually leaves the company they work for.

Posted July 18, 2019

Nearly every week of 2018 featured headlines of a new cyberattack on companies that people trust with their data, such as Marriott and Facebook. In years past, the biggest concern for companies was being hit with hefty fines, but now, they risk reputation damage if they breach compliance mandates and regulations when they are attacked.

Posted July 18, 2019

Many enterprises started migrating to the cloud sooner (or migrated faster) than they even realized—through a rogue marketing department deploying a cloud lead tracking application, a finance group that stood up a cloud-based accounting service—or others that IT may not have vetted, secured, procured, and continuously monitored. Most enterprises have scores of these "shadow cloud" applications deployed with little-to-no planning, strategy, or skilled technical staff involved, posing risk to the organization.

Posted July 18, 2019

Ransomware attacks faded from the headlines after the notorious WannaCry outbreak in 2017 and the frequency of attacks declined in 2018. And yet, with ransomware threats seemingly in the rearview mirror, cybersecurity experts and the Information Security Forum's 2018 Global Security Threat Outlook are suddenly forecasting a major resurgence of ransomware this year.

Posted July 18, 2019

The stakes for expert data management continue to escalate. Data volumes are expanding rapidly and it is well-understood today that companies that harness the value of this precious commodity will be the winners. With a growing appreciation for data's value, spending on data management and analytics products and services is also on the rise. IDC forecasts revenues for big data and business analytics solutions will reach $189.1 billion in 2019 with double-digit annual growth projected through 2022, according to its "Worldwide Semiannual Big Data and Analytics Spending Guide."

Posted June 12, 2019

AI, machine learning, and predictive analytics are used synonymously by even the most data-intensive organizations, but there are subtle, yet important, differences between them. Machine learning is a type of AI that enables machines to process data and learn on their own, without constant human supervision. Predictive analytics uses collected data to predict future outcomes based on historical data.

Posted June 10, 2019

With deep learning so much praised, you've probably read a lot about its positive side. Let's skip the positives and instead concentrate on the things that can go wrong with deep learning-based demand forecasts as well as offer some ways to overcome these problems. 

Posted June 10, 2019

An organizational shift is necessary to adapt to constantly changing regulatory requirements and satisfy new ethical concerns. Google's stiff fine for non-compliance with the EU's General Data Protection Regulation (GDPR) has demonstrated the potential impact on a company's bottom line in a way that has made GDPR a topic of discussion in many corporate boardrooms. Yet, a recent study by IT Governance revealed that only 29% of European-based organizations are GDPR-compliant.

Posted June 10, 2019

As the volume of digital information being produced across industries grows at record rates, databases are becoming more integral to organizations than ever before. These data stores contain the lifeblood of an organization and the sensitive information within them must be protected from improper access and breaches, which continue to rise in frequency. In 2017, there were more than 1,500 data breaches reported in the U.S. alone—nearly a 45% increase year-over-year—and according to the Ponemon Institute, the average cost of a data breach rose to $3.86 million.

Posted June 10, 2019

Over the past several years, we have seen a tremendous amount of pressure from consumers (and now regulators) regarding how organizations manage content, especially when that content contains information about employees, consumers, and any number of other individuals whose data has made its way into enterprise data stores. Although the enactment of the EU's General Data Protection Regulation (GDPR) in May 2018 seemed to monopolize public discussion, we have seen a multitude of other newsworthy moments since then.

Posted June 10, 2019

Quantum computing will bring unprecedented advances in medicine, science, and mathematics—knowledge currently out of reach. Many secrets of the universe are on the verge of discovery. But, are we ready for everything to be unlocked? Are we prepared to manage what comes with quantum computing's limitless architecture?

Posted June 10, 2019

While change has always been a part of the database credo, the growing emphasis on data-driven decision making in today's economy has resulted in a dizzying plethora of technologies and methodologies entering the market. The number and scope of game-changing technologies are too numerous to mention, and one thing is certain: Database management will never be the same. We have identified some of the most promising technology initiatives, based on discussions with and input from data experts from across the industry spectrum, gathering their views on the key technologies—well-known or under the radar—that are worth watching.

Posted June 10, 2019

IT executives and their business counterparts understand the importance of a strong data strategy and its value to their businesses, and most are starting to get the key pieces in place to drive transformation through next-generation technologies and processes. One in four enterprises now regards real-time data as critical to their ongoing operations—and another one in four is actively preparing to introduce real-time data capabilities into their infrastructures, according to a new Unisphere Research survey.

Posted June 10, 2019

Web data is the world's largest untapped source of data. And now, web data in large volumes can be captured quickly, efficiently and cost-effectively with the introduction of web data integration, a practice that identifies, extracts, prepares, and integrates data for consumption by business applications, analytics, and processes.

Posted June 10, 2019

When it comes to cloud technology, more and more businesses are realizing the benefits that cloud can provide them and are beginning to seek more cloud computing options to conduct their business activities. And obviously, Amazon, Microsoft, Google, Alibaba, IBM, and Oracle plan to capture this spend by providing a dizzying array of IaaS and PaaS offerings to help enterprises build and run their services.

Posted May 01, 2019

At its Think 2019 conference in San Francisco, IBM emphasized approaches for enterprises beginning the next chapter of their cloud journeys. Hybrid cloud—which IBM CEO Ginny Rometty recently estimated will become a $1 trillion market by 2020—is viewed as a key approach for migrating and managing more difficult scenarios. IBM's GM of GTS Cloud Services Jim Comfort recently reflected on why hybrid cloud and open source are becoming a strategic part of today's business environment.

Posted May 01, 2019

Data pipelines speed IoT, predictive analytics, and machine learning projects to their final destination. The new generation of data pipelines also supports governance, which is sure to be in the spotlight during 2019. Enterprises will need to be much more stringent about their data usage and lineage, based on new regulations such as GDPR and consumers' higher expectations of security and privacy.

Posted May 01, 2019

Enterprise agility isn't a single initiative but rather a collection of activities and technologies that lead toward that goal. This includes adoption of microservices, containers, and Kubernetes to increase the flexibility of systems, applications, and data by releasing them from underlying hardware. In addition, practices such as DevOps are helping to increase the level of collaboration possible for fast-moving enterprises.

Posted April 09, 2019

Many companies and government organizations have jumped on the data bandwagon and are hoping to analyze as much data as possible to discover something that might give them a competitive edge or change their operations. Instead of big insights, they have petabytes of big data. They've become compulsive data hoarders while struggling to develop an actionable plan for that data.

Posted April 09, 2019

There's not a business out there that wouldn't want to defend itself against fraudulent activities, hacking attempts, and operations disruptions. And with cases of fraud and cyberattacks on the rise—$16 billion was stolen from 15.4 million U.S. consumers in 2017—businesses need to pay attention to solutions that can help them identify this kind of behavior. Here's where anomaly detection comes in.

Posted April 09, 2019

According to David Weinberger, a senior researcher at Harvard's Berkman Klein Center for Internet & Society, machine learning's importance is not only in the benefits its use brings, but also in how it is transforming our understanding of how the world works and our most basic strategies for dealing with the future. At Data Summit 2019 in Boston, Weinberger will consider the implications of machine learning and explore what it means for society and our moral sense of the world.

Posted April 09, 2019

Data-driven attributes that businesses are relying on for growth in the digital economy—AI, machine leading, and the Internet of Things—require databases that are robust and flexible. However, many enterprises are encumbered by the licensing and support issues that typically accompany database systems, resulting in potentially high and unexpected costs, as well as skills shortages.

Posted April 09, 2019

From AI and machine learning to data discovery and real-time analytics, creating a strong data architecture strategy is critical to supporting an organization's data-driven goals. DBTA recently held a roundtable webinar with Michael Coburn, product manager, PMM, Percona; Tyler Mitchell, senior product marketing manager, Couchbase; and Max Neunhöffer, senior developer and architect, ArangoDB, who discussed the top trends in modern data architecture for 2019.

Posted April 03, 2019

The IT landscape is constantly being reshaped and contoured as organizations mature, and others merge or are acquired. Startups that seek to address new challenges are also on the horizon. Many of these companies have fresh approaches that tap into blockchain, advanced analytics, AI, DevOps, and data security advances.

Posted April 01, 2019

COLLABORATE is where Oracle users and IT decision makers find practical solutions for today and create strategies for tomorrow. This conference empowers users of Oracle business applications and database software to gain greater value from their Oracle investments through real-world education and networking.

Posted March 12, 2019

Every day, more technology surrounds us.  Things that were once fiction, are now everyday occurrences.  None of this is by accident or happenstance, this is only through the work of many professionals and even amateurs in the fields of engineering, electronics, and computer science.

Posted March 12, 2019

From April 7-11th, Oracle users from across the world will gather in San Antonio for the largest user-led, user-focused event where they'll get the real story about Oracle products and experience in-depth education and networking to take their Oracle product impact to the next level.

Posted March 12, 2019

One week is all you need. One week at COLLABORATE 19: Technology and Applications Forum for the Oracle Community equips Oracle users with expertise and insight to accelerate performance and maximize Oracle investments. At COLLABORATE 19, April 7-11 in San Antonio, Texas, the OAUG delivers expert on-prem Oracle Applications knowledge and the latest guidance for the Cloud so users can innovate with their current Oracle solutions and strategically plan for the future. Users share lessons learned from real-life implementations, and solutions providers offer a look at the latest, greatest new products.

Posted March 12, 2019

From AI and machine learning to data discovery and real-time analytics, creating a strong data architecture strategy is critical to supporting an organization's data-driven goals. DBTA recently held a roundtable webinar with Michael Coburn, product manager, PMM, Percona; Tyler Mitchell, senior product marketing manager, Couchbase; and Max Neunhöffer, senior developer and architect, ArangoDB, who discussed the top trends in modern data architecture for 2019.

Posted March 04, 2019

Competitive business strategy increasingly relies on data analytics. The core techniques of data analysis are increasingly accessible thanks to commodity Business Intelligence packages, modern open source AI tools, and cloud services. Given this level playing field for software and algorithms, competitive advantage typically lies in the unique data that a business can gather and feed into its analytics pipelines.

Posted March 04, 2019

In recent years, an unprecedented numbers of companies have moved to the cloud, which is a trend that shows no sign of slowing. Most companies have moved at least part of their data holdings to the cloud, and many more will follow suit in the next few years, effectively shifting data's center-of-gravity from the data center to the cloud. Many are also leveraging multiple vendors, such as Amazon and Microsoft, as part of a multi-cloud strategy that leverages the best features of multiple offerings. Unfortunately, many of the gains realized by cloud technologies will be lost to downtime during the migration.

Posted March 04, 2019

The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR. By improving how they pursue machine learning, Scott contends, organizations can attain benefits in both long-term costs and maintenance.

Posted March 04, 2019

At the Cloud Economic Summit in San Francisco, a new consortium called the FinOps Foundation was announced to share best practices for managing the cost of cloud computing. According to the foundation, cloud spending is now a material amount of total IT spend. Similar to the way DevOps ushered in a new way of thinking about development and operations, the foundation says, the FinOps operating model is a combination of systems, best practices, and culture that aims to bring financial accountability to the variable spend model of cloud.

Posted March 04, 2019

In a post-GDPR world, the attention rests on which companies will be impacted by data breaches, what the total fines will be, and what the public scrutiny will entail. Though the impact of the fines—4% of a company's annual worldwide revenue or €20 million ($22.9 million) (whichever is greater)—is certainly eye-catching, a data  breach could leave a company destabilized for years afterwards.

Posted February 08, 2019

In the days of cloud computing and agile development, it might seem that being a DBA is somewhat less appealing as a career choice. However, the role of DBA is changing; it is not going away. In fact, it is becoming even more important.

Posted February 08, 2019

Every enterprise, regardless of industry or even size, is attempting to manage and draw insights from large volumes of data surging through and between their systems and applications, both within clouds and on-premise data centers. This all needs to be managed appropriately and securely, as well as backed up and made highly available. The key is having the right tools and processes to automate as much as possible.

Posted February 08, 2019

Increasingly, cloud services are seen as a vital resource in the data manager's toolkit. There's good reason why cloud is a preferred option: There are simply not enough on-premise resources to keep up with the growth of data management requirements. Organizations keep evolving, business priorities keep shifting, data compliance requirements keep expanding, and user demands keep growing. Already, one-fourth of corporate data is being maintained by cloud providers, and data managers intend to move as much of their data environments into the cloud as soon as they can. 

Posted February 08, 2019

As the tech world continues to change, so too is the evolution of data warehousing. Enterprises today need flexibility, agility and scalability. The goal of modern data warehousing is to not only deliver insights faster to more users, but provide a richer picture of your operations afforded by a greater volume and variety of data for analysis.

Posted January 02, 2019

The past year brought many data breaches and incidents of PII mishandling. With confidential information being compromised routinely, data privacy regulations are also on the rise. Here, top IT executives reflect on the current data security landscape and what we can expect in 2019.

Posted January 02, 2019

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