- January 14, 2016
MapR's Hadoop distribution will add a message system to feed a streaming data pipeline. It takes a cue from open-source Kafka technology.
- December 29, 2015
The increasing adoption of self-service business intelligence tools and big data analytics applications is complicating data governance programs, BI Leadership Summit speakers and attendees said.
- December 28, 2015
In 2015, APIs for IBM's Watson system were front and center as a means to bring cognitive computing applications to a broader corporate audience.
- December 21, 2015
This episode of the 'Talking Data' podcast looks at the word of the year in data analytics and management. In 2015, Spark joined Hadoop and MapReduce at the top of the list of trending big data technologies.
- December 21, 2015
In a Q&A, big data and data science expert Kirk Borne discusses new data processing and analytics technologies and the growing importance of data literacy in organizations.
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
- December 09, 2015
If Hadoop and Spark are to sneak into the enterprise, they will need to be manageable. With Driven, Concurrent Inc. takes a stab at the problem.
- December 02, 2015
Business analysts and data scientists no longer restrict themselves to internally produced data that comes from IT-managed production systems. For their analysis they use all the data they can lay ...
- November 16, 2015
IBM's planned purchase of The Weather Co.'s data operations may be a bellwether event from which data professionals can learn.
- October 30, 2015
At its Insight 2015 conference, IBM featured Apache Spark, releasing a cloud-based Spark service to support analytics applications and detailing Spark use in some of its own tools.
- October 27, 2015
Dell and others have a new ETL reference architecture. Its purpose is to ease migrations to Cloudera Hadoop. Also: Dell buys EMC; Syncsort is acquired.
- October 19, 2015
We may have outlived the era of killer apps in some part defined by Walmart, but Hadoop big data applications may help the giant's quest for more growth.
- October 13, 2015
MapR takes JSON format data into Hadoop, while Teradata places its flagship database on AWS.
- October 12, 2015
Not so long ago I attended a session in which the speaker was very clear on what big data is and what it is not. In his opinion, big data is unstructured data and unstructured data is big data. ...
- October 07, 2015
Tracking 'What is Hadoop?' is getting more complex as the potential components of Hadoop systems increase -- and core elements such as HDFS are augmented by possible alternatives.
- October 05, 2015
The third big data myth in this series deals with how big data is defined by some. Some state that big data is data that is too big for a relational database, and with that, they undoubtedly mean a ...