The debate over which statistical platform sits premiere over the others for data science applications rages on. The discussion often turns to the popular R and SAS environments. But to focus the dialog on performance only, a new benchmark study was just completed by commercial R provider Revolution Analytics.
Cloudera Strengthens Hadoop Security with Acquisition of Gazzang
June 7, 2014 by Leave a Comment
Cloudera, a leader in enterprise analytic data management powered by Apache Hadoop™, has announced that it has acquired Gazzang, the big data security experts, to dramatically strengthen its security offerings, building on the roadmap laid out last year when Cloudera first delivered Sentry.
Teradata Portfolio for Hadoop 2 Announced
June 2, 2014 by Leave a Comment
Teradata (NYSE: TDC), the analytic data platforms, marketing applications, and services company, today introduced Teradata Portfolio for
Hadoop 2 to reduce the risk, cost, and complexity of Hadoop deployment and management. The comprehensive portfolio helps organizations address the technical and business challenges of leveraging diverse data stored in Apache™ Hadoop®.
R – The Data Scientist’s Choice and Data Access
May 28, 2014 by Leave a Comment
To help our audience leverage the power of machine learning, the editors of insideBIGDATA have created this weekly article series called “The insideBIGDATA Guide to Machine Learning.” This is our third installment, “R – The Data Scientist’s Choice and Data Access.”
Interview: Spectra Logic on Big Data Storage in the Cloud
May 26, 2014 by Leave a Comment
“Big Data puts new requirements on storage with respect to scalability, data integrity and cost efficiency – and Spectra is well-positioned to serve this market. Our archive and backup data storage tape products support all aspects of secondary storage, are compatible with every major tape and disk format, enable massive scalability and provide a plethora of advanced features that ensure the data is protected, its integrity is maintained and that it will be available virtually forever. Our suite of T-Series tape libraries offer high capacity TS1140 and open standard LTO media options, have the capability to offer block, file and object storage on our tape systems; and can deliver long-term storage for under $0.10/GB LIST pricing.”
Alteryx Analytics 9.0 Empowers Analysts
April 25, 2014 by Leave a Comment
Alteryx, a leader in data blending and advanced analytics, has announced Alteryx Analytics 9.0 which puts the power of predictive and customer analytics into the hands of every analyst.
Interview: LC Technology International Stores Data in Cross-Platform Environments
April 15, 2014 by Leave a Comment
When disaster strikes, lost data could cost you your business. LC Technology International is continually improving their data recovery products to meet these needs.
Interview: Continuent Manages Cross-Database, High-Speed Replication
April 10, 2014 by Leave a Comment
“The speed and flexibility of our core replicator solution and the companion Continuent Tungsten clustering solution offer advanced functionality in a simple and easily usable format. Tungsten Replicator supports high-speed replication between MySQL and Oracle databases in an open source product. Continuent Tungsten supports billions of transactions a day, with our largest single installation managing over 700 million transactions a day and over 225 terabytes of data. Key to all this is the ease of deployment and use, and the flexible nature of the solution, enabling cross-database replication, and advanced filtering not found in other products.”
Cloudera Enterprise 5 Released
April 2, 2014 by Leave a Comment
Cloudera, a leader in enterprise analytic data management powered by Apache Hadoop™, today announced the general availability of Cloudera Enterprise 5, the latest release of Cloudera’s Hadoop platform that sits at the core of an enterprise data hub.
Interview: Adaptive Computing Brings Big Workflow to the Data Center
March 25, 2014 by Leave a Comment
“Our thought process was that Big Data + a better Workflow = Big Workflow. We coined it as an industry term to denote a faster, more accurate and more cost-effective big data analysis process. It is not a product or trademarked name of Adaptive’s, and we hope it becomes a common term in the industry that is synonymous with a more efficient big data analysis process.”
