Big Data Quarterly Articles



The shortage of skilled talent and data scientists in Western Europe and the U.S. has triggered the question of whether to outsource analytical activities. This need is further amplified by competitive pressure to reduce time to market and lower costs.

Posted May 19, 2015

As the excitement and opportunity provided by big data tools develop, many organizations find their big data initiatives originating outside existing data management policies. As a result, many concepts of formal data governance are either intentionally or unintentionally omitted as these enterprises race to ingest huge new data streams at a feverish pace in the hope of increased insight and new analytic value.

Posted May 19, 2015

Similar to the dot-com revolution, the Internet of Things is the culmination of radical advances in four core technology pillars.

Posted May 19, 2015

Google white papers have inspired many great open source projects. What has been missing until now, however, has been a way of bringing these technologies together such that any data-centric organization can benefit from the capabilities of each technology across its entire data center, and in new ways not documented by any single white paper. This is called the "Zeta Architecture."

Posted May 19, 2015

Business pressures, including cost reduction, scalability, and "just-in-time" application software implementation, are just some of the requirements prompting businesses to "cloudify" at least some aspect of their IT infrastructure.

Posted May 19, 2015

Data-driven companies continue to explore data management technologies that better unify operational, analytical, and other disparate or siloed data in a way that offers tangible business value and data management relief.

Posted May 19, 2015

The demand for effective data management is intensifying. At the same time, the database market has expanded into a wide array of solutions—from traditional relational database management systems to alternative databases such as NoSQL, NewSQL, cloud, and in-memory offerings.

Posted May 19, 2015

Data preparation is gaining considerable visibility as a distinct aspect of data management and analytics work.

Posted May 19, 2015

Just when you thought NoSQL meant the end of SQL, think again, and realize why you need to hold on to your relational database administrator like it was 1999. NoSQL has proven to be a resilient next-generation database technology for increasingly common internet-era specialized workloads. Now approaching a decade after its arrival on the scene, NoSQL is moving beyond architectural marvels to practical tools in the software development toolkit and, in that process, unveiling tried-and-true capabilities formerly known to be the scalpels of the enterprise relational database. Let's go back to the future and take a look at how the DBA is becoming as relevant as ever while NoSQL evolves for the enterprise.

Posted May 19, 2015

RedPoint Global was founded in 2006 by Dale Renner, Lewis Clemmens, and George Corugedo, who previously had worked together at Accenture. Based in Wellesley, Mass., RedPoint collaborates with clients around the world in 11 different verticals. "We have always been very focused on the data, and recognize that a lot of business problems live and die by the quality of the data," says Corugedo.

Posted May 19, 2015

Deep Information Sciences has closed $8 million in Series A funding. The round brings the total invested in Deep to $18 million. The funding will assist in the growth of the Deep Engine, which break downs the performance, speed and scale limitations of databases to help businesses achieve new insights and opportunities from big data.

Posted May 05, 2015

Perhaps no other technology is more intertwined with the promise of big data than Apache Hadoop, the open source framework that emerged 10 years ago. Hadoop was first leveraged at big web companies for its ability to process large quantities of varied-format data using affordable commodity servers. Today, the Hadoop ecosystem is expanding swiftly, and its value in the enterprise is being recognized.

Posted April 15, 2015

Pivotal has proposed "Project Geode" for incubation by the Apache Software Foundation (ASF). A distributed in-memory database, Geode will be the open source core of Pivotal GemFire, and is now available for review at network.pivotal.io. Pivotal plans to contribute to, support, and help build the Project Geode community while simultaneously producing its commercial distribution of Pivotal GemFire.

Posted April 13, 2015

Hortonworks, a contributor to and provider of enterprise Apache Hadoop, has signed a definitive agreement to acquire SequenceIQ. "This acquisition complements our strategy of providing enterprise customers the broadest choice of consumption options for Hortonworks Data Platform, from on-premise deployments to cloud architectures,"said Rob Bearden, chief executive officer of Hortonworks.

Posted April 13, 2015

To fully take advantage of big data tools and architectures, businesses need to adapt a different mindset, according to Edd Dumbill, who contends that looking at the data value chain is the first step to understanding the value of data.

Posted April 08, 2015

Data is being collected everywhere - and from everything. The idea is that it can provide the power of insights never before possible into everything from the patient care to the health of machinery to customer sentiment about products and services. But to reveal these valuable insights, this data also has to be captured and analyzed in ways never before possible.

Posted April 08, 2015

The emergence of the Internet of Things is the driving force behind the latest evolutionary change in the way we think about database platforms and the most important change since the development of the original "big data" technologies a decade ago.

Posted April 08, 2015

Teradata made its fourth acquisition of 2014 in the big data space with the purchase of Rainstor, a privately held company specializing in online big data archiving on Hadoop. Here, Chris Twogood, vice president of products and services marketing at Teradata, explains why the newly added technologies and services are important to Teradata's big data portfolio.

Posted April 08, 2015

There is no one single path to the data lake within the data architecture of the organization. Likewise, each data lake is unique, with inputs and decisions from the organization contributing a variety of essential elements in organization, governance, and security.

Posted April 08, 2015

With all of the focus and media attention on the "things," or devices, part of the Internet of Things, we are really missing the fundamental technology revolutions that are reshaping our world.

Posted April 08, 2015

In order to truly appreciate Apache Drill, it is important to understand the history of the projects in this space, as well as the design principles and the goals of its implementation.

Posted April 08, 2015

One of the leading data concerns for all businesses is the proper security and use of customer data. Exacerbating the challenge for a company that processes and manages data across multiple international clients are the various implementations of privacy policies across the globe.

Posted April 08, 2015

Translated to an analytical setting, Ockham's principle, also known as Ockham's razor, basically states that analytical models should be as simple as possible, free of any unnecessary complexities and/or assumptions.

Posted April 08, 2015

Many companies are transforming themselves from companies that ingest data from the cloud to companies that live and breathe in the cloud, further helping to fuel the "cloudification" of data. But living in a world in which all of a company's databases and infrastructure reside in the cloud creates new challenges for the DBA to overcome and is transforming these DBAs out of necessity into cloud DBAs.

Posted April 08, 2015

The role of friction in data discovery is much akin to that minimalist design mantra: Less is more.

Posted April 08, 2015

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