Splice Machine Unveils Version 1.5 of Hadoop RDBMS with Expanded SQL Compliance
Posted October 20, 2015
Picking IoT Winners
Posted October 13, 2015
It's Always a Good Time for Real Time Data Access
Posted October 13, 2015
MapR Technologies has added native JSON support to the MapR-DB NoSQL database. The in-Hadoop document database will allow developers to quickly deliver scalable applications that also leverage continuous analytics on real-time data. A developer preview of MapR-DB with sample code is available for download and general availability of these new capabilities in MapR-DB will be available in Q4 2015.
Posted October 07, 2015
One of the noticeable changes this year at Strata + Hadoop World 2015 was the rise of Apache Spark, an engine for large scale data processing. In recent months, many companies have extended support to Spark, which can be complementary to Hadoop, but can also be deployed without it.
Posted October 05, 2015
MarkLogic Pushes NoSQL Further Into the Enterprise
Posted September 24, 2015
StreamSets Inc., a company that aims to speed access to enterprise big data, has closed a $12.5 million round of Series A funding. The single biggest barrier to a successful enterprise analytics platform is the effective and efficient ingest of data, the company says.
Posted September 24, 2015
Grasping Hadoop's Full Potential
Posted September 14, 2015
By now, we all know the value of big data analytics. In the 1990s, data mining and business intelligence (BI) efforts were used mostly for after-the-fact reporting and problem solving. The need for these capabilities will always remain, and high levels of confidence and investment in these disciplines will continue. However, the current focus on big data analytics emphasizes predicting and influencing the future, based on real-time analysis of 100% of enterprise data.
Posted September 14, 2015
Big Data 50 - The Top 50 Companies Driving Big Data Innovation
Posted September 09, 2015
Storage Architecture for the Petabyte Era
Posted September 08, 2015
Databricks is enhancing its cloud-based platform to strengthen its security, manageability and ease of application development. According to the vendor, the new features securely manage data access for large teams while streamlining Spark application development and deployment for enterprises dealing with complex and fast-paced environments.
Posted September 02, 2015
Hadoop distribution provider Cloudera has released Cloudera Director 1.5, an integrated solution for deploying and managing enterprise-grade Hadoop in cloud environments that enables deployment flexibility through an open API. Google Cloud Platform (GCP) is the first to integrate with the API.
Posted August 12, 2015
Overcoming Today's Big Data Integration Hurdles
Posted August 10, 2015
Faced suddenly with the challenge of quickly extracting valuable consumer data from a massive file for customer acquisition programs, DX Marketing selected Oracle Database Cloud Service and Oracle Marketing Cloud Service to replace its on-premise computing platform.
Posted August 07, 2015
Addressing the need for more big data skills training, Apache Hadoop distribution provider MapR Technologies has announced availability of a complete Apache HBase design and development curriculum on its free Hadoop On-Demand Training program.
Posted August 06, 2015
Unless you have been trapped under an elephant, you have heard a lot about big data. Today, most IT teams are either contemplating a Hadoop strategy or are well under way in the hopes of making data actionable.
Posted August 06, 2015
A typical organization loses 5% of its revenues to fraud each year, and in the U.S. alone the total cost of (non-health) insurance fraud is estimated at more than $40 billion per year, according to Bart Baesens, one of the authors of a new book on data science techniques for fraud detection. While opportunities for fraud are continuously evolving, fraud detection always has the biggest impact if it is done quickly. Fortunately, says Baesens, big data analytics can help to make early fraud detection possible.
Posted August 05, 2015
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