Big Data Quarterly Articles



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

Launched in 2012 after 2 years in stealth mode, cloud data warehousing company Snowflake Computing kicked off 2018 by announcing $263 million in additional growth funding. Since its founding 6 years ago, Snowflake has raised a total of $473 million in growth funding with the mission to combine the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud. Recently, Christian Kleinerman, the company's VP of product, reflected on how enterprise data architecture is changing and the growing role of cloud in analytics.

Posted April 09, 2018

DBAs can recover a database, tune SQL, and may even know how to write some PL/SQL when push comes to shove. And, yes, those are all great skills to have. But in 2018, DBAs need more, writes  Matt Malcheski in a new IOUG SELECT article.  DBAs today need to be able to work with the  tools and technologies of the future, asserts Malcheski who discusses many items that will help DBas increase their expertise, as well as support their long-term career goals.

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

A new Unisphere Research survey sponsored by Quest Software looks at the changing role of the DBA in light of new challenges in database administration ("DBAs Face New Challenges: Trends in Database Administration"). For years, DBAs' primary responsibilities have been aimed at ensuring that data is safely, securely, accurately, and appropriately stored, managed, and maintained. However, with the rise of new data types and increasing data volumes, data environments are changing, and so, too, are the roles of DBAs.

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

DBAs may think that machine learning cannot possibly perform all of their tasks and but it is entirely feasible and likely that the machine learning functionalities will perform all of the tasks of an operational DBA - or will very soon, writes Eric Mader in the fourth installment of a six-part article series by editors of IOUG SELECT and Big Data Quarterly on "The Changing Role of the Modern DBA."

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

It's no secret that data management has changed dramatically in the nearly 10 years since the onslaught of "big data." Nonetheless, experts agree, there has never been a better time to be a DBA—provided you are willing to continue learning and growing and to step in to fill gaps where they open up.

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

Data security is a growing concern in all enterprises, and since DBAs have been guardians of the data, their skillset can be utilized in moving forward to combat new risks and threats, writes Extreme Scale Solutions' Michelle Malcher in the latest article in a six-part series by editors of IOUG SELECT and Big Data Quarterly on the "The Changing Role of the Modern DBA."

Posted January 22, 2018

Cybersecurity and terms written about it, such as "ransomware," "malware," and "hacker" have become part of our regular vocabulary. Concerns about protecting our identities and personal data are on the rise in our day-to-day lives. With the onslaught of news reports about data breaches and various hacks, the awareness is more elevated now than it has been in the past few years.

Posted January 11, 2018

Emerging technologies are outpacing data governance at a rapid clip. Specifically, the rate of growth and development of emerging technologies in areas such as artificial intelligence (AI), the Internet of Things (IoT), and machine learning (ML) drastically exceeds the current speed and willingness of businesses to change their governance models to manage and protect their data and information assets. Unfortunately, the larger the delta becomes between the advancements in technology and the changes in governance, the greater the risks and losses for the business.

Posted January 09, 2018

As the use of cloud expands as a database platform and automated capabilities increase, there are new opportunities for DBAs to move beyond operations and emergency fire-fighting and instead get involved in more innovative, high-level tasks that bring additional value to their organizations. Experts weigh in on what's ahead.

Posted January 08, 2018

A lot has been written about why IoT is going to be absolutely essential to your company. If you are convinced as to the why but wonder about the how, pay attention. Based on all the lessons learned from my engagements around the globe, I am going to tell you how. It basically comes down to three basic phases: preparation, the "real stuff," and embedding it in the organization.

Posted January 08, 2018

In a world where new technologies are often presented to the industry as rainbows and unicorns, there is always someone in a cubicle trying to figure out how to solve business problems and just make these great new technologies work together. The truth is that all of these technologies take time to learn, and it also takes time to identify the problems that can be solved by each of them.

Posted January 05, 2018

As Paul Graham, founder of Y-Combinator, has put it: "Hacking and painting have a lot in common … [hackers and painters] they're both makers." And as modern-day artists, developers will help create the future of cognitive computing and AI. New technology has granted them more paints and more materials with which to paint and sculpt. It will allow them to create works of art never previously envisioned, that are powered by big datasets and cognitive systems. But they can't go it alone. Even da Vinci had his patrons. That leads to the next logical questions. How should organizations support their developers right now? And where should they place resources to ensure their developers reap the greatest benefits from cognitive technologies?

Posted January 04, 2018

The suddenness of the non-relational "breakout" created a lot of noise and confusion and—at least initially—an explosion of new database systems. However, the database landscape is settling down, and in the past few years, the biggest meta trend in database management has been a reduction in the number of leading vendors and consolidation of core technologies. Additionally, we're starting to see database as a service (DBaaS) offerings become increasingly credible alternatives to on-premise or do-it-yourself cloud database configuration.

Posted January 03, 2018

The expense to design and manufacture robots is rapidly declining. Big data, artificial intelligence (AI), machine learning, and deep learning, coupled with componentized software and near-unlimited processing power, are enabling new classes of robotics never possible before. The graphical processing unit has evolved far from its humble video game beginnings into a system of such processing power that a microsecond is considered to be unacceptably high latency. Large fortunes are being generated as these companies are developing into entities that resemble the great figures and even empires of antiquity. When considering the technology industry as a whole, it is understandable if we wonder if we are witnessing the inception of a new colossus.

Posted January 03, 2018

You're a large organization headquartered in the U.S. Your clients and customers live mainly in the U.S. You have no intention to expand beyond the U.S. What could you possibly need to know about new data rules in the EU? Everything, it turns out.

Posted January 02, 2018

With cyberattacks on the rise and the EU's new General Data Protection Regulation (GDPR) going into effect in 2018, there is a greater focus on data security and governance. Here six top IT leaders reflect on the changes taking place and offer their predictions for data security and compliance in 2018.

Posted December 13, 2017

Web scraping can be an invaluable skill to possess when working on data-related projects because many interesting analytics projects often start not with over-explored internal data, but with the treasure trove of information found on the web, according to authors, lecturers, and data scientists Seppe vanden Broucke and Bart Baesens. However, while the web holds a wealth of information, collecting and structuring web data can be a daunting prospect for many data practitioners, believes Baesens who has written a new book on the topic with vanden Broucke titled, Web Scraping for Data Science with Python. Here, Baesens expands on the techniques and uses for web scraping.

Posted December 04, 2017

Databricks, provider of a Unified Analytics Platform and founded by the team who created Apache Spark, has become a partner with Microsoft to expand the reach of its Unified Analytics Platform and address customer demand for Spark on Microsoft Azure.

Posted November 29, 2017

One of the biggest challenges IT professionals responsible for corporate data will face in 2017 comes from a law passed by the European Union due to take effect in 2018, the General Data Protection Regulation (GDPR). A metadata-driven approach is important for ensuring compliance with this new data privacy law.

Posted November 28, 2017

Protecting online systems has become an increasingly difficult job. By shifting your mindset from "if" to "when" a cyberattack happens, certain activities which may appear burdensome, tedious, and sometimes are even ignored, will become relevant and important.

Posted November 28, 2017

Data integration can seem like a never-ending quest as organizations try to combine and access data from disparate applications and sources. But as we move beyond relational as the only DBMS type that matters and embrace NoSQL and Hadoop data platforms, data integration can become more challenging and require new tools and approaches to achieve success.

Posted November 28, 2017

No longer the stuff of science fiction, the business uses for cognitive computing, artificial intelligence, and machine learning today include fields as diverse as medicine, marketing, defense, energy, and agriculture. Enabling these applications is the vast amount of data that companies are collecting from machine sensors, instruments, and websites and the ability to support smarter solutions with faster data processing.

Posted November 13, 2017

AtScale is releasing a universal semantic platform for business intelligence (BI) with Microsoft Azure HDInsight, providing enterprises with faster time to insight. AtScale's new offer helps enhance Azure HDInsight customers' ability to quickly turn their Big Data lake into a highly available and performant analytical database.

Posted November 02, 2017

There's a surprising trick for greatly increasing the chances of real impact, true success with many types of machine learning systems, and that is "do the logistics correctly and efficiently."   That sounds like simple advice - it is - but the impact can be enormous. If the logistics are not handled well, machine learning projects generally fail to deliver practical value. In fact, they may fail to deliver at all. But carrying out this advice may not seem simple at all.

Posted October 26, 2017

After years of ambiguous expectations about data governance, organizations now have a better handle on how these programs can help them manage the exponential growth of the data they generate. More importantly, there is an understanding about how the integration, organization, and alignment of that data can help meet or exceed business and technology goals.

Posted October 18, 2017

As companies grow increasingly data-centric in their decision making, product and services development, and their overall understanding of the world they work in, speed and agility are becoming critical capabilities. A common theme in big data and analytics today is "Industry 4.0," representing a new wave of technology that enables the automation necessary for scaling. There's compelling justification for this as companies seek to unlock business value from big data with two broad approaches: the democratization of data with greater access by more users, and the enablement of automation everywhere possible.

Posted September 20, 2017

The movement toward the instrumentation of everything and the democratization of data and analytics is resulting in more data flowing to more users, and is creating new challenges in data management.

Posted September 20, 2017

Over the last few years, organizations have shifted from using virtual data centers to creating private or hybrid IaaS clouds that allow authorized users to perform self-service provisioning of virtual machines. These environments have reduced administrative workloads, improved the user experience, and discouraged shadow IT, but they have also brought their own challenges. As virtualized environments increase in scale, management techniques have often become far less effective, making it difficult to keep track of virtual machines, their owners, and why the virtual machines were created in the first place.

Posted September 20, 2017

Companies today are spreading their applications across multiple clouds in a hybrid fashion. According to a recent IDC CloudView study among 6,000 IT and line-of-business executives whose organizations have adopted cloud technologies, 73% are implementing a hybrid strategy, which most defined as utilizing more than one public cloud in addition to dedicated assets.

Posted September 20, 2017

Many people are unsure of the differences between deep learning, machine learning, and artificial intelligence. Generally speaking, and with minimal debate, it is reasonably well-accepted that artificial intelligence can most easily be categorized as that which we have not yet figured out how to solve, while machine learning is a practical application with the know-how to solve problems, such as with anomaly detectio

Posted September 20, 2017

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