Big Data Quarterly Articles



The way that many organizations approach the backup process has failed them, as evidenced by the hundreds of millions of dollars they have spent on ransomware to retrieve their data.

Posted August 02, 2018

For organizations dealing with critical infrastructure and systems, as well as governmental agencies and operators, there are several solutions that can help with IT network security.

Posted July 26, 2018

By automating the centralization process, organizations can ensure that data is up-to-date and accurate, improving their customer experience and paving the road for GDPR compliance.

Posted July 23, 2018

Better cybersecurity requires a mindset that looks beyond the technology itself and focuses on having the technology, processes, and people working together in tandem to ensure a secure infrastructure.

Posted July 18, 2018

Today, there is a resurgence in the power of data visualization—alongside a virtual gold rush of bigger, more diverse, and more dynamic data—is providing new tools and innovative techniques to help us transform raw data into compelling visual data narratives. Propelled by this newfound horsepower in data visualization, we are recreating the entire analytic process. We're also making it increasingly more visual—from how we explore data to discover new insights all the way to how we curate dashboards, storyboards, and interactive visualizations to share the fruits of our labor.

Posted July 16, 2018

With so many layers that may be vulnerable to attack, securing an ERP system involves much more than just one piece of cybersecurity software.

Posted July 16, 2018

Organizations need dynamic data mapping capabilities for a precise view of their data and to provide transparency around "the rights of the data subject," such as the rights to be forgotten, rights of accessibility, and rights of rectification.

Posted July 13, 2018

Organizations can significantly reduce threats with basic security hygiene and education for proper user habits since studies show that more than 90% of ransomware attacks start with employees interacting with email.

Posted July 13, 2018

The role of the CDO is growing—as are data-based threats to businesses.

Posted July 12, 2018

Blockchain has been one of the most loudly trumpeted new technologies on the enterprise database scene in recent history. However, the concept of a blockchain is not really a new notion. It is more of a repackaging of existing constructs to deliver a new set of benefits to any organization leveraging it for their use cases. It provides the benefit of irrevocable proof, and it reduces friction with information exchange.

Posted May 11, 2018

In the past few years, IoT has been greatly overhyped; hence, many IoT vendors had to convince the market of their pedigrees by touting use cases and customer success stories. In reality, IoT was only getting traction in very few markets—manufacturing being one—with the rest trailing behind.

Posted May 11, 2018

Silicon Valley has achieved an almost mythical status in both modern American popular culture as well as the annals of world economic history. Located south of San Francisco, the name "Silicon Valley" was coined in the early 1970s due to the volume of silicon chip innovators and manufacturers in the area. Today, the valley is synonymous with technology innovation and venture capital: two mighty forces of change.

Posted May 11, 2018

Across industry and academia, the past several years have seen a proverbial explosion of new business analytics education programs.If you're new to the analytics labor market—or looking to advance your credentials—academia has likewise undergone a period of massive innovation as educators work diligently to keep pace with market demands and produce a new breed of business analytics education. The change has been nothing short of astonishing

Posted May 11, 2018

Aside from data, "governance" is the most used term in data governance. Duh! It's in the name, right? But not only is it the most used, it is also the most misused and misinterpreted. The general perception of the term "governance" generates a widespread misunderstanding of the purpose of data governance. With excitement and fear rapidly growing around the use of data in businesses across all industries, data governance is becoming a hotter-than-hot topic! But, as with many corporate buzzwords, the more viral the term and concepts of data governance become, the more inappropriately used and abused they are.

Posted May 11, 2018

Although security is often related to privacy, they are not synonymous. Data security can be defined as the set of policies and techniques to ensure the confidentiality, availability, and integrity of data at all times. Data privacy refers to the fact that the parties accessing and using the data do so only in ways that comply with the agreed-upon purposes of data use in their roles. These purposes can be expressed as part of a company's policy, but are also subject to legislation. In this way, several aspects of security can be considered as necessary instruments to guarantee data privacy.

Posted May 11, 2018

Write this down: Converged transactional and analytical data platforms stand for digital business. None of us has been alive long enough to remember a time without the printing press, but such a time did once exist. The printing press revolutionized the world of books, journalism, scientific research, and countless other areas by automating a process that was once tedious and time consuming.

Posted May 11, 2018

Architecting the Modern Enterprise: 10 Key Technologies for a Strong Foundation

Posted May 11, 2018

As the old saying goes, the more things change, the more they stay the same. Many companies have been in a frenzy the past 2 years preparing for regulations that are either turning or about to turn the corporate world upside down. Financial services firms have been scrambling to deliver the transparency required by the second Markets in Financial Instruments Directive (MiFID II), while everyone else serving EU residents has been lining their ducks in a row to comply with the General Data Protection Regulation (GDPR).

Posted May 11, 2018

If blockchain could only be described in one word, that word would be "trust." It is an ideal mechanism to establish trust among multiple parties, demonstrated by its seminal use case as an abstraction for currency. The currency paradigm is instructive because it demonstrates the core concepts that could be leveraged in other use cases.

Posted May 11, 2018

Enterprise architects are making major waves. In fact, a recent KPMG study spotlighted enterprise architecture (EA) as today's most in-demand tech skill, as companies recognize EA's critical role in cutting both costs and complexities. But while enterprise architecture is one of the fastest-growing skillsets, it's also undergoing a major evolution. Where the role previously involved exhaustive plans consisting of excessive amounts of analysis, slow timelines, and rigid conceptual models, the agility and DevOps movement has forced old EA mentalities into obsolescence.

Posted May 11, 2018

The Next Wave of Big Data Technologies

Posted May 11, 2018

We're all familiar with the IT "war room" scenario. When there's an issue, members of the IT team come together to troubleshoot and find a solution. For organizations with important applications, such as SQL Server running in virtual infrastructures, these IT teams are no strangers to the IT war room environment. In this case, input from the SQL Server system administrators and DBAs isn't considered (or even requested) when the infrastructure team implements it virtualization plan.

Posted May 07, 2018

GDPR has gone into effect. Rex Ahlstrom, chief strategy and technology officer at BackOffice Associates, a provider of information governance and data stewardship solutions, discussed what's at stake.

Posted May 01, 2018

Recently, the revised Markets in Financial Instruments Directions (MiFID II) launched in the EU. The sweeping regulatory changes will impact transaction reporting on all financial instruments traded in Europe and affect all U.S. firms that do business with European counterparts or customers. Firms will face new requirements in tracking data—including emails, texts, and documents related to every transaction—and will need to be able to quickly reconstruct trades and search across data silos,  presenting a significant challenge. Here, Ken Krupa, CTO at enterprise database company MarkLogic, discusses the impact to U.S. firms, and how new regulations underscore the importance of increasing transparency, consumer protection, and data integrity.

Posted April 30, 2018

DataStax is making enhancements to its DataStax Enterprise platform, making upgrades to deliver twice the responsiveness and the ability to handle twice the throughput on the same infrastructure. DataStax Enterprise (DSE) 6 allows customers to maintain hybrid cloud flexibility with all the benefits of a distributed cloud database on any public cloud or on-premises.  DSE 6 includes all the advantages of Apache Cassandra and much more.

Posted April 18, 2018

As the volume and complexity around data grows, it has become more critical than ever for organizations to develop a deep knowledge of their business context and to understand and quantify the value of that data.

Posted April 18, 2018

The key to understanding AI's current and future impact is its transformation of business processes. A widespread misconception is that AI systems, including advanced robotics and digital bots, will gradually replace humans in one industry after another. Self-driving vehicles, for example, will one day replace taxi, delivery, and truck drivers. That may be true for certain jobs, but what we've found in our research is that, although AI can be deployed to automate certain functions, the technology's greater power is in complementing and augmenting human capabilities.

Posted April 13, 2018

Turning Data into Insights: Q&A with Snowflake Computing's Christian Kleinerman

Posted April 09, 2018

What Will It Take to Be a DBA in the Future?

Posted March 28, 2018

You are one of the few and the brave—you have not only established a successful data governance program, you have done so and lived to tell the tale. But, while your brow is still wet and your sleeves are rolled up, your program could be crumbling and you might not even see the warning signs.

Posted March 27, 2018

Data, data, data. With the exponential data growth that has occurred in the last 15 years, a need has arisen to sift through that data to find answers to questions.

Posted March 26, 2018

On any given day, organizations can collect hundreds of different pieces of data on every person they interact with. Managing and protecting this data, often referred to as personal data, is becoming mission-critical for organizations—particularly since enforcement of the European Union's General Data Protection Regulation (GDPR) begins on May 25, 2018.

Posted March 26, 2018

There is a data revolution happening across the globe. From academics to politics, and everywhere in between, the world's stories are being told through their datapoints. And, while using visualization to tell stories about data is by no means new, we are now telling them in more influential and impactful ways than ever before. Charts and graphs created 5 years ago in Excel are far different than the incredible visuals we are now producing with best-of-breed tools such as Tableau, or scripting with dynamic JavaScript libraries such as D3.js

Posted March 26, 2018

We live in a new world today, with unique challenges heretofore unseen in information technology. To remain at the expected technological apex, organizations should ask themselves these questions.

Posted March 26, 2018

Many organizations nowadays are struggling with the quality of their data. Data quality (DQ) problems can arise in various ways. Common causes of bad data quality include multiple data sources; limited computing resources: Lack of sufficient computing resources; changing data needs; and different processes using and updating the same data.

Posted March 26, 2018

In the IoT world, devices are moving from smart to intelligent due to the advent of artificial intelligence and machine learning. However, this is now hindered due to the natural limitations of the cloud. In order to progress, devices need lower latency, a higher level of independence, and better connectivity.

Posted March 26, 2018

The rise of DevOps, which promises to bring development and operations teams into alignment, is bringing database managers and administrators ever closer to the key touchpoints of their businesses. DevOps seeks to ensure the continuous delivery and consistent cadence of software releases and means that data professionals will have a key role to play in their organizations' information technology strategy. It's not happening a moment too soon—nimble, tech-savvy competitors have learned to leverage data as strategic business assets and are biting ever deeper into just about every existing market.

Posted March 22, 2018

Does this sound familiar? You have a backlog of apps that your workforce is craving, and you simply don't have the team (or the time) to build them. In fact, the demand for apps is growing five times faster than IT's capacity to deliver them. This crunch is probably all too familiar for many, and it's forcing IT teams to find new ways to accelerate app development. The age-old question is, do you build, do you buy, or do you do something in between?

Posted March 13, 2018

Big data can help drive decisions in almost every aspect of our lives—from the way financial products are underwritten, learning programs are designed, energy is used, healthcare diagnoses are made, insurance rates are assessed, commerce is conducted, and fraud is prevented—the list is infinite. As these decisions can affect individuals and society as a whole, it is compulsory that data experts apply integrity, transparency, and due diligence into the analytics that mine information and the algorithms that inform our decision making and problem solving.

Posted March 13, 2018

With data lakes being so new to organizations, an early failure can significantly set back the opportunity to fundamentally transform analytics. However, while the potential for big data innovation is significant, organizations are mired with slow, manual, and time-consuming processes for managing the tasks that turn raw big data into relevant business assets and insights. Without addressing these challenges in a systematic way, organizations find that data lake projects turn into labor-intensive, complex endeavors.

Posted March 08, 2018

Websites and the servers that host them are vulnerable to attack, and so too are the networks that are connected to them. Security holes in sites created by human error or application vulnerabilities are a source of trouble for the entire enterprise.

Posted March 08, 2018

Graph databases are increasingly popular. In fact, according to DB-Engines graphs are the fastest growing of any database category since 2013. This growth is fueled in part because many organizations are realizing the value of understanding connections in their data. For companies looking to use a graph database to build behavior and decision-making applications based on real-time evaluation of connected data, there are several key attributes, including integrity, performance, efficiency and scalability.

Posted March 07, 2018

The Changing Role of the Modern DBA: Cloud, NoSQL, and Automation

Posted March 05, 2018

Private equity firm Parallax Capital Partners acquired erwin Data Modeler software from CA Technologies in April 2016. Since then, operating as erwin, Inc. and led by IT industry veteran Adam Famularo, the company has rebranded itself as "the data governance company," launched new products, and made a number of strategic acquisitions—including most recently Rome-based A&P Consulting. Famularo spoke with BDQ about the changes at erwin over the past 2 years and shared his views on where the IT market overall is headed.

Posted February 28, 2018

Good News: Your Database is About to be Autonomous!

Posted February 21, 2018

Qubole, the cloud big data-as-a-service company, is teaming up with Snowflake Computing, a data warehouse built for the cloud, enabling organizations to use Apache Spark in Qubole with data stored in Snowflake. With the new integration between cloud services, data teams are able to build, train, and put in production machine learning (ML) and artificial intelligence (AI) models in Spark using information stored in Snowflake.

Posted February 14, 2018

CloudJumper, provider of a workspace as a service platform for agile business IT, has acquired privately held IndependenceIT (IIT), a provider of WaaS enablement software for automating the deployment of applications, data, and complete workspaces in the cloud.

Posted February 13, 2018

The Changing Role of the Modern DBA in a Big Data World

Posted February 05, 2018

MongoDB 3.6 is now Generally Available (GA), and ready for production deployment. In this short blog series, I'll be taking you on a whirlwind tour of what's new in this latest release:

Posted January 31, 2018

The Changing Role of the Modern DBA - New Skills for Security

Posted January 22, 2018

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