- November 26, 2014
Startup vendor Splice Machine has put SQL capabilities on top of Hadoop to create a hybrid database that it said can run both transaction processing and analytics applications.
- November 24, 2014
Data management product announcements by HP, SAP and NuoDB show greater support for SQL on Hadoop analytics, enhanced cloud deployment and mixed processing workloads.
- November 17, 2014
In this BizApps Today video report, editors Joe Hebert, David Essex and Don Fluckinger discuss new products and inside stories from recent HR Tech, Workday and CHIME events.
- November 14, 2014
Cazena, a stealth-mode startup founded by former Netezza executives, is looking to solve the pain points that many enterprises have with managing and analyzing big data in the cloud.
- November 05, 2014
The Spark processing engine, which targets machine learning and a range of other big data analytics applications, was a big topic at the 2014 Strata + Hadoop World conference in New York.
Sponsored by SAS Institute Inc. - With streaming analytics you can solve business problems in new ways and seize new revenue opportunities. You can reduce costs and increase efficiency while improving the safety of employees and the security of assets and intellectual property. See More
Sponsored by SAS Institute Inc. - Interactive data discovery and predictive analytics technologies allow business users and analysts to identify important trends and relationships in data sets and drill down into questions from any angle. They also allow business users to collaborate with specialists to create, refine and select the best predictive models. See More
Sponsored by SAS Institute Inc. - You’re getting started with a big data analytics project on Hadoop and are impressed by the cost savings on storage compared with your data warehouse. You’ve read that TrueCar, a company that collects vast volumes of car price data for its online car-buying business, has cut its monthly data storage cost from $19/GB to $0.23/GB. So you’re wondering, should you consider moving all your business intelligence efforts to Hadoop? See More
Sponsored by SAS Institute Inc. - You want to get started with a big data project at your company, but you're unfamiliar with Hadoop and you're unsure your project will deliver value. Relax. Many organizations are struggling to implement Hadoop for a variety of reasons. In "The Current State of Hadoop in the Enterprise," by the International Institute for Analytics and sponsored by SAS, you'll find a handy list of five steps to maximize the value of a Hadoop big data project for your organization. See More
- October 24, 2014
Hadoop may get most of the big data glory. But Strata + Hadoop World attendees said combining it with other technologies is what's really needed to power big data applications.
- October 13, 2014
When Lehman Brothers failed in 2008, regulators and other banks had precious little data to gauge wider financial risks. Enter legal entity identifiers, a form of semantic data.
- October 03, 2014
In this 'BizApps Today' video, editors Lauren Horwitz and David Essex discuss the 2014 Social Shake-Up and Inforum conferences and what users need to know about them.
- September 30, 2014
Agriculture, social media, IBM's Watson system and other global topics were discussed at EmTech MIT 2014, with big data wrangling often at the fore.
- September 25, 2014
News briefs describe MapR's latest Hadoop distribution, which includes Apache Drill for SQL analytics. Also, InfiniDB said it will close down business.
- September 16, 2014
NoSQL stalwart MarkLogic's database has grown to include many SQL database-style features. Next up is JSON.
- September 05, 2014
The field of log and machine data management gains a new player as the X15 Software platform for ingestion and queries. Also in the news, Teradata buys Think Big.
- August 26, 2014
What does open-source Hadoop really cost? A look at total cost of data over the full life cycle helps dispel uncertainties about the data framework and reveal the answer, an expert says.
- August 15, 2014
A Carnegie Mellon University off-shoot applies maturity model techniques to big data. Cross-group communications are a key. The result is the Data Management Maturity Model.
- July 29, 2014
At the TDWI Executive Summit in Boston, users talked about the benefits and challenges of incorporating Agile development methodologies into data warehouse and business intelligence projects.