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Trends and Applications



Mullins Consulting's Craig Mullins discusses the current crop of DBMSs, how organizations are using them, and how they factor into the changing requirements of DBAs in this clip from Data Summit Connect Fall 2020.

Posted November 04, 2020

Videos of presentations from Data Summit Connect Fall 2020, a 3-day series of data management and analytics webinars presented last week by DBTA and Big Data Quarterly, are now available for on-demand viewing on the DBTA YouTube channel. Use this opportunity to take another look, catch up on a session you missed, or share with a colleague!

Posted November 04, 2020

The prospect of managing data across the data center and public cloud platforms can be daunting to enterprises. There are concerns about hybrid latency affecting analytic workloads and many companies can't store data in a public cloud due to a variety of legal and regulatory concerns. However, the cloud offers flexibility, elasticity, and scalability benefits that are hard to beat, making migration of at least some workloads highly desirable. Recently, Haoyuan Li, founder, chairman, and CEO at Alluxio, Inc., shared his views on what's at stake now and how organizations can overcome hybrid and multi-cloud challenges to take advantage of cloud migration for cost benefits and agility.

Posted November 04, 2020

Now more than ever, a strong data strategy is essential to every enterprise's success. As many leaders have realized, a large part of this responsibility requires them to implement new strategies that empower citizen and specialist users with self-service capabilities. To make this possible and accelerate digital transformation, enterprises need to adopt a modern data platform and approach.

Posted November 04, 2020

While the cloud can offer an organization a wide array of benefits—including a reduction in infrastructure costs, greater flexibility to deploy regionally, and more—it's not always an organization's first choice when it comes to building out an SAP landscape, where high availability (HA) is essential. If you're invested in real-time analytics or building out AI services that depend on uninterrupted access to your SAP landscape, you don't want to find yourself unable to access the data and services you need.

Posted October 08, 2020

At the heart of the latest wave of tool consolidation in enterprise software delivery is data—and getting all that precious information into one place. By creating a single platform experience to help software delivery teams at largescale organizations plan and track all work from ideation to operation, tool vendors hope to support customers in this goal by providing faster, more accurate knowledge- sharing between teams and tools in real time to accelerate the planning, building, and delivering of products. Obtaining one source of truth to create business-centric IT reports helps organizations understand whether investments are paying off and improve decision making.

Posted October 08, 2020

This may be the era of the data-driven enterprise, but only a handful of organizations report they are ready for it. There is a growing volume of "dark data" that remains obscure to IT managers and decision makers. This period unfolding before us will be driven by several technology initiatives, from 5G wireless and IoT to AI.

Posted October 08, 2020

Both data warehouses and data lakes offer robust options for ensuring that data is well-managed and prepped for today's analytics requirements. However, the two environments have distinctly different roles, and data managers need to understand how to leverage the strengths of each to make the most of the data feeding into analytics systems.

Posted October 08, 2020

"It's yours, free. Just pay shipping and handling!" claims the infomercial host. We've all seen them, the advertisements for home maintenance, gardening equipment, or even cooking products that promise the world but end up costing a lot of money. Whether it's through shipping fees or the need to sign up for long contracts that are hard to break, unfortunately, most deals that seem "too good to be true" usually are not what they seem.

Posted October 08, 2020

COVID-19 is far from over, and consequently, many people find themselves facing extended work-from-home (WFH) timelines. Tech companies, such as Twitter and Square, which in May announced the "work from home forever" option—and Facebook, which CEO Mark Zuckerberg has stated may have as many as half of the company's employees working remotely in the next 5-10 years—are leading the WFH charge.

Posted October 08, 2020

For several years, digital sales have been steadily expanding year over year by 12%-15% and gradually taking more and more of the overall share of retail sales, but that expansion was quickly accelerated this year by the COVID-19 pandemic. Historical sales data is inconsequential this year, and there is not a handbook for the types of challenges we've faced so far. In times of uncertainty, a business's greatest asset is the flexibility to be ready for whatever may happen. The truth is, no one knows what the future of this market will bring.

Posted October 08, 2020

As technologies evolve and become more sophisticated each year, the world is becoming increasingly data-driven. Large volumes of data inject macro- and micro-level insights into our behaviors, opinions, and preferences, which in turn power business opportunities for revenue growth, cost reduction, and customer satisfaction.

Posted October 08, 2020

October is National Cyber Security Awareness Month (NCSAM). Started by the National Cyber Security Division within the Department of Homeland Security and the non-profit National Cyber Security Alliance, the goal of this designation is to raise awareness of the importance of cyber security. Find out what data governance and security leaders think about the state of data security today.

Posted October 08, 2020

For skeptics of the "putting all your eggs in one basket" strategy, history shows that building fewer, sturdier baskets can create strategic advantage. Take a look at the construction of airplanes. Bigger planes create economies of scale that make flying safer, faster, and more efficient. Oil shipments also move more safely and cost-effectively in double-hulled, automation-packed tankers than on large fleets of small craft. Data storage is simply another successful application of this consolidation strategy.

Posted September 09, 2020

LicenseFortress, provider of an Oracle software license compliance solution, has announced the addition of services by specialized legal advisors to its licensing and technology teams. LicenseFortress is partnering with Beeman & Muchmore, LLP, a law firm delivering software auditing and licensing counseling, with the goal of helping customers to stay in compliance with software licensing.

Posted September 09, 2020

Even the best DevOps initiatives can fall victim to data bottlenecks, from challenges provisioning data quickly and easily, to synchronizing application and database changes and, in some cases, a serious lack of cooperation between developers and database administrators.

Posted September 09, 2020

At Data Summit Connect 2020, The AI-Powered Enterprise author and CEO of Earley Information Science, Seth Earley explained how to look at data initiatives as CEOs see them—in terms of revenue increases and measurable business outcomes.

Posted September 09, 2020

Major trends in technology are reshaping the role of the DBA at many organizations. The size and complexity of database systems continues to grow with higher data volumes, more workloads and an increasing rate of database deployments that need to be managed. DBAs are under constant pressure in a constantly evolving environment—fighting fires to keep the lights on while navigating the impact of cloud and automation on their daily jobs.

Posted September 09, 2020

The mainframe is the most important IT asset for many organizations today, keeping operations up and running and providing the performance and number crunching required by essential technologies like machine learning and artificial intelligence. Yet, the security of the mainframe is often taken for granted, especially by modern CIOs or CISOs who typically cut their teeth in the world of distributed networking.

Posted August 11, 2020

The role of cloud computing in today's enterprises continues to accelerate, fueled by both market pressures to compete more aggressively against digital-savvy competitors and, more recently, by the COVID-19 crisis, which has prompted a massive shift to digital work and consumer engagement. While it's clear that cloud computing has a vital role to play in supporting new and existing applications, it presents difficult choices for data managers.

Posted August 11, 2020

Enterprises with forward-looking and well-honed data strategies will be able to navigate, and recover more quickly from, today's turbulent economy than their less data-savvy counterparts. However, even leading tech-forward companies are struggling with ways to employ data resources to better reach their customers and markets.

Posted August 11, 2020

In the future, the year 2020 may be seen as the critical turning point for digital transformation. The COVID-19 crisis has prompted individuals and organizations to reevaluate how they function, increasing reliance on online transactions, new strategies for collaboration and management, and innovative work-from-home approaches. The result has been a dramatic spike in data, which, of course, is the lifeblood of business today. To help companies make their data-driven goals a reality, each year, Database Trends and Applications presents the Readers' Choice Awards, providing an opportunity to recognize companies whose products are selected by experts—you, the readers.

Posted August 06, 2020

It has never been easier for businesses to collect significant amounts of data about their customers, their business, and their operations. However, there must be proper processes and systems in place to streamline the approach of making sense of all this data. Otherwise, it can be a needle in a haystack type of situation, limited by time and bandwidth even though the answer is in there.

Posted July 01, 2020

As hybrid cloud models evolve into the new standard for enterprise storage and the ability to quickly and easily extract value from digital assets becomes ever-more important, storage expertise remains critical. According to Gartner, by 2025, 40% of workloads will reside in the public cloud, 30% at the edge and 30% on-premise—compared to the 80% on-premise in 2019. However, storage managers must move beyond their traditional roles in response to this changing landscape—a challenge that many are embracing.

Posted July 01, 2020

The outbreak of the coronavirus, and the global pandemic that has ensued, has pushed millions of workers across the globe to work from home. This sudden sea-change in connectivity models and workforce management has left some businesses facing technical difficulties, as IT teams struggle to support hundreds or even thousands of workers on existing network capacity.

Posted July 01, 2020

At Data Summit Connect 2020, DataStax VP Bryan Kirschner discussed how to create value with data. Citing an article from The Economist, Kirschner noted that data is the world's most valuable resource, and data creates new rules for competition. This reality is changing how technologists and strategists think about orchestrating processes and tools as well as the priorities for all companies.

Posted July 01, 2020

Whether their strategy is acquiring new customers or building the profitability of existing customers, marketers need that holistic customer view. Since they are on the front line, making them an afterthought in the centralized data process will under-serve the enterprise.

Posted July 01, 2020

From data quality issues to architecting and optimizing models and data pipelines, there are many considerations to keep in mind with regard to machine learning. At Data Summit Connect, a free 3-day series of data-focused webinars, a session, titled "Unlocking the Power of Machine Learning," provided a close look at the challenges involved in using machine learning, as well as the enabling technologies, techniques, and applications required to achieve your goals. As part of the session, Rashmi Gupta, director data architecture, KPMG LLC, explained how to use tools for orchestration and version control to streamline datasets in a presentation, titled "Operationalizing of Machine Learning Data." Adding to the discussion, Andy Thurai, thought leader, blogger, and chief strategist at the Field CTO (thefieldcto.com), shared how infusing AI into operations can lead to improvements with his presentation, "AIOps the Savior for Digital Business Unplanned Outages."

Posted July 01, 2020

DataOps has emerged as an agile methodology to improve the speed and accuracy of analytics through new data management practices and processes—from data quality and integration to model deployment and management. Traditional methodologies for handling data projects are too slow to handle the teams working with the technology. The DataOps Manifesto was created as a response, borrowing from the Agile Manifesto.

Posted July 01, 2020

As part of Data Summit Connect 2020, Joe Hilger, COO and co-founder of Enterprise Knowledge, LLC, and Sara Nash, a technical analyst with the consultancy, presented a presented a pre-conference workshop on knowledge graphs, which are becoming an increasingly valuable tool that organizations are using to leverage the vast amounts of data they collect, store, and analyze.

Posted July 01, 2020

This year more than ever before, customers are turning to online transactions in response to decreased physical mobility due to the COVID-19 crisis, employees are working from home, and an uncertain economy is demanding smarter ways to compete. At the root of all these capabilities is data and the ability to analyze and act on data-driven insights. What technologies are coming to the forefront to enhance enterprises' ability to compete on data? We asked a number of leading industry experts and solution providers to describe what they see as the most impactful technologies shaping today's data environments.

Posted June 29, 2020

Modernization is driving many of today's enterprise data strategies—and cloud stands out as the primary vehicle for attaining this modernization. However, many enterprises are struggling with data quality issues, as well as integrating cloud-based and on-premise data.

Posted June 10, 2020

Organizations are increasingly turning to cloud data warehouses for advanced analytics and data visualizations. Solutions like Snowflake, Amazon Redshift, Google BigQuery, and more provide immediate value with secure and easy access to any data with near-infinite scalability. However, the convenience of having all of that data accessible from one platform makes full transparency and control essential.

Posted June 10, 2020

This year more than ever before, customers are turning to online transactions in response to decreased physical mobility due to the COVID-19 crisis, employees are working from home, and an uncertain economy is demanding smarter ways to compete. At the root of all these capabilities is data and the ability to analyze and act on data-driven insights. What technologies are coming to the forefront to enhance enterprises' ability to compete on data? We asked a number of leading industry experts and solution providers to describe what they see as the most impactful technologies shaping today's data environments.

Posted June 10, 2020

Database technologies are constantly changing and adding new options for enterprises. At Data Summit Connect, a free 3-day series of data-focused webinars, a session titled "The New World of Database Technologies," looked at two key NoSQL databases, MongoDB, a cross-platform document oriented database, and AnzoGraph DB, an MPP (massively parallel processing) graph database designed to accelerate data integration and scalable analytics.

Posted June 10, 2020

Today, there is a constantly evolving list of data management issues that organizations are contending with. In addition to pressures of exploding data volumes, there is urgent demand for real-time data-driven insights as well as more widespread data access. Expanding regulatory mandates also demand greater data quality and governance, as do cybersecurity threats. Whether cloud-based or on-premise and open source or proprietary, there are many options for data management and analytics. Spanning the spectrum of well-established and cutting edge, the DBTA 100 list recognizes companies that are innovating and preparing for the future.

Posted June 10, 2020

Today, there is a constantly evolving list of data management issues that organizations are contending with. In addition to pressures of exploding data volumes, there is urgent demand for real-time data-driven insights as well as more widespread data access. Expanding regulatory mandates also demand greater data quality and governance, as do cybersecurity threats. Whether cloud-based or on-premise and open source or proprietary, there are many options for data management and analytics. Spanning the spectrum of well-established and cutting edge, the DBTA 100 list recognizes companies that are innovating and preparing for the future.

Posted June 10, 2020

What more companies need today is a "data lab" to create ideas from data and a "data factory" to turn those ideas into products. Google, Amazon, and other data-driven giants already work like this. So should companies outside of technology. 

Posted May 13, 2020

Informed business decisions are backed by data and the actionable insights workers are able to glean from various datasets.  However, if you're a data steward, data engineer, data scientist, analyst, or anyone else requesting data to answer important business questions, the easy access to people with data and data context is suddenly and indefinitely gone.

Posted May 13, 2020

Business and IT have, in the past, used times of crisis to adapt and transform themselves for the better. While the COVID-19 pandemic has undeniably had a devastating effect on business, and life itself, it may also be a catalyst for change, compelling organizations to rethink their long-term operations and spending amidst the short-term crisis brought on by the health emergency. Industry leaders recently discussed what "the new normal" may look like.

Posted May 13, 2020

In almost every organization, databases are where the most valuable information resides. Databases have lots of sensitive data in a concentrated form that is specifically designed to be easy to search and analyze. That makes databases a high-value target for bad actors and increases the priority for most organizations to secure the database.

Posted May 13, 2020

We live in a business world that craves instantaneous response times, especially in terms of the responsiveness of modern transactional applications. Customers expect to make a money transfer, pay a bill, or buy a product online in a matter of seconds. This insatiable desire for speed to customer parallels the need to increase speed to market for these modern apps. With development activity accelerating through DevOps, do we ever stop to consider the increased demands this is putting on batch processing?

Posted April 08, 2020

To get a full appreciation for the incredible pace of change in business technology, look at the past 6 years. In 2014, IDC published a report that said that, by 2020, the digital universe would contain nearly as many digital bits as there are stars in the universe, and the data we create and copy annually would reach 44 zettabytes, or 44 trillion gigabytes. Guess what? It's 2020. And it turns out IDC was correct in assuming that we were about to endure a data deluge.

Posted April 08, 2020

With $3.6 trillion in mergers and acquisitions completed in 2019 alone, M&A activity has been booming. However, a merger or acquisition isn't just a business decision and a business process. It's also a massive undertaking on the IT side, as you figure out how to migrate and integrate business applications and business data.

Posted April 08, 2020

The hype around DevOps and its potential to drive greater ROI across a wide range of enterprise operations increased substantially in the last decade. However, as these expectations carry into 2020, organizations will start to take a more sober approach to DevOps implementations. While DevOps was initially seen as a widespread solution to all sorts of enterprise IT issues, the implementation of DevOps approaches is now shaping up to become more strategic and focused, with much of the emphasis on how to maximize the ultimate return on investment.

Posted April 08, 2020

DevOps, DataOps, AI, and containers all lead to one important innovation for enterprises seeking to be more data-driven—and that is greater automation. Data-driven enterprises cannot function if data resources and applications are in any way being manually administered, deployed, remediated, or upgraded.

Posted April 08, 2020

When it comes to DevOps, developers increasingly recognize databases to be code sets that require ongoing integration and deployment. They are "another code deployment which can and should be managed, tested, automated, and improved with the same robust, reliable methodologies applied to application code," according to the authors of a recent survey of 2,000 developers.

Posted April 08, 2020

Cutting-edge startups are constantly emerging to address new challenges and problems in ways never thought possible. Many of these young, innovative companies have fresh approaches that tap into blockchain, quantum computing, advanced analytics, AI, DevOps methodologies, containerization, and data security advancements. To shine a spotlight on some of the ways innovation in IT is being reflected today, here, DBTA presents 28 companies we think are worth watching in 2020.

Posted April 08, 2020

2020 DBTA Readers' Choice Awards: Vote NOW!

Posted March 05, 2020

One of the primary objectives of any high-availability architecture is to ensure that any single points of failure are eliminated, such as cluster nodes connecting to a single SAN. If you are running SAP in the cloud, you can take advantage of your cloud provider's availability zones, which may exist in different geographic regions. Although a high-availability cluster can be deployed within a single zone, the zone itself is a single-point-of-failure. If the zone becomes unavailable, end users may lose access to the entire cluster.

Posted March 05, 2020

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