- June 20, 2017
IBM pulled the plug on its distribution of Hadoop in favor of reselling Hortonworks' bundle of big data technologies, a decision that reduces the number of Hadoop vendors to four.
- May 31, 2017
Deep learning applications often require a mix of data, and assorted preprocessing techniques. That makes data preparation a priority, and conventional machine learning may have a role to play.
- May 12, 2017
Kafka is a linchpin in many on-premises big data pipelines. Now, software vendor Confluent is offering a Kafka cloud service to ease use of the messaging and data streaming system in the cloud.
- April 28, 2017
Data lakes offer a more expansive alternative to data warehouses for analytics uses. TDWI analyst Philip Russom offers advice on how to get things right in a data lake architecture.
- April 28, 2017
Systems of engagement represent a hotbed of activity in data management these days. Flexibility and scalability are watchwords.
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
- April 20, 2017
Corporate users are becoming more open to deploying big data systems with Apache Spark in the cloud, Databricks CEO Ali Ghodsi says in a Q&A on the open source processing platform.
- April 14, 2017
Software containers encapsulate complexity and ease deployment, two traits that are helping to elicit growing interest in using them as part of big data systems.
- March 31, 2017
Fitness company Beachbody set up a data lake system in the AWS cloud to support big data analytics applications after deciding that an on-premises deployment would be too complicated.
- March 24, 2017
Blockchain data technology disruption may be in the offing. IDC's Stewart Bond says architecture at the core of controversial bitcoin may show a new path to data integrity.
- March 10, 2017
Businesses constantly need to evolve their programs for governing data. Nationwide's finance data governance team shares how it stepped up data governance strategy and processes.
- March 08, 2017
Application profiling software from Pepperdata is built on LinkedIn's Dr. Elephant open source entry. A primary goal is to get more Hadoop and Spark applications into production.
- February 21, 2017
Moving custom Spark and Hadoop pilot projects into production use has proved daunting. But container technology eased the transition at the Advisory Board analytics service.
- February 16, 2017
Spark Streaming architecture to date has focused much on programming perks. Now, as a bit of a hedge against other streaming choices, Drizzle comes to bat to cut streaming latency.
- February 06, 2017
Predictive models help Jewelry Television's on-air hosts sell its wares, thanks to data integration and preparation processes that funnel a mix of data into the analytics applications.
- February 06, 2017
Data scientists building predictive models and machine learning algorithms often have to do more data preparation work upfront than is necessary in conventional analytics applications.