Enterprise data architecture best practices
- June 23, 2017
MongoDB has expanded cloud coverage for its Atlas hosted database service, with Azure and Google versions joining an initial AWS-based offering to give users a choice on cloud platforms.
- 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 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.
- 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.
- October 06, 2016
What's in your toolbox? October's issue of Business Information turns the tables and puts that burning question to Capital One and several other business intelligence and data analytics software users. As the burgeoning worlds of ...
- September 30, 2016
Users increasingly are eyeing the cloud for big data management and analytics applications, and IT vendors are moving to ease the process -- and the price -- of running Hadoop in the cloud.
- July 06, 2016
Hadoop management is becoming a bigger priority for big data users and vendors alike as the distributed processing framework plays a more central role in the business operations of organizations.
- June 01, 2016
Data wrapping -- in this case, bundling data and analytics services with products -- may entice more companies to become data businesses. A panel at an MIT symposium considered some best practices for doing so.
- April 01, 2016
Moving streams of data is a must in many modern applications. As a result, streaming analytics systems with Spark Streaming, Kafka and other components are coming to the big data forefront.
- March 31, 2016
At Strata + Hadoop World 2016, Hadoop co-creator Doug Cutting said the core of the distributed processing framework is likely to see its position at the center of big data systems diminish.
- January 28, 2016
In a Q&A as Hadoop reaches one 10-year milestone in its development, co-creator Doug Cutting talks about the adoption of the big data framework, and the history and future of Hadoop.