Big Data Quarterly Articles



Predixion, a developer of cloud-based advanced analytics software, is partnering with PLAT.One to deliver predictive insights for IoT applications.

Posted July 30, 2015

The Role of Hybrid and Best-of-Breed Architectures in Big Data Management

Posted July 28, 2015

Continuing its global expansion, CoolaData, which provides a solution that tracks user behavior across all channels and aggregates the data to help monetize the insights, has opened an office in New York. The company's investors include 83North (formerly Greylock IL) and Carmel Ventures.

Posted July 22, 2015

The Hortonworks Data Platform (HDP) version 2.3 is now available, with enhancements for user experience for both operators and developers, new security and data governance capabilities, a new cluster monitoring service for support subscription customers.

Posted July 22, 2015

Franz, a supplier of semantic graph database technology, has added patented N-dimensional analysis capabilities to its flagship product AllegroGraph.

Posted July 20, 2015

Kyvos Insights, a big data analytics company, emerged from stealth mode to introduce a solution called Kyvos that it says provides insights from all corporate data, regardless of size and granularity.

Posted July 13, 2015

Responding to a growing need to deliver more data to the right people at the right time, Cloudera and Teradata have announced the Teradata Appliance for Hadoop with Cloudera—the enterprise-ready Hadoop distribution.

Posted July 09, 2015

Graph databases are especially good for managing data about the connections among resources, and they are here to stay as a vital mechanism for managing data. In some enterprises, graph databases are even replacing relational databases as the primary database of record.

Posted July 08, 2015

Putting Big Data & Analytics to Work

Posted June 26, 2015

IBM to Fuel Spread of Apache Spark

Posted June 15, 2015

Accelerating Data Processing for Analytics

Posted June 15, 2015

Syncsort is working with Dell to help businesses improve operational efficiency and lower costs by shifting expensive workloads and associated data from enterprise data warehouses (EDW) to Hadoop.

Posted June 10, 2015

Map R is releasing version 5.0 of the MapR Distribution including Hadoop that will process big and fast data on a single data platform that enables a new class of real-time applications.

Posted June 09, 2015

Unstructured data presents many challenges — it's hard to manage, datasets can be extremely large, and it does not have a pre-defined schema. Still, enterprises and service providers who manage to tame and mine unstructured data will have the ability to drive true business transformation based on the new insights it provides.

Posted June 05, 2015

MapR Technologies, Inc., a provider of a distribution for Apache Hadoop, is including Apache Drill 1.0 in the MapR Distribution.

Posted May 19, 2015

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

Hadoop—IT Heavyweight Versus Hype

Posted April 15, 2015

Delivering on Promise, Pivotal Open Sources Key Component of Its Big Data Suite

Posted April 13, 2015

Hortonworks Scoops Up SequenceIQ to Accelerate Hadoop Deployments into the Cloud

Posted April 13, 2015

Edd Dumbill to Present Opening Keynote at Data Summit 2015 in NYC

Posted April 08, 2015

Getting Up to Speed on Big Data Analytics

Posted April 08, 2015

The Internet of Things Heralds a New Kind of Spatial Database

Posted April 08, 2015

Q&A with Teradata's Chris Twogood

Posted April 08, 2015

Mapping the Path to the Data Lake

Posted April 08, 2015

The Five ‘Things' of the Internet of Things

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

Best Practices in Data Governance

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

Classic DBAs Evolve to Cloud DBAs

Posted April 08, 2015

The Role of Friction in Data Discovery

Posted April 08, 2015

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