Big data management
- October 05, 2017
At the Strata conference in New York, IT managers detailed steps they're taking to improve data quality in their big data environments in order to help ensure analytics accuracy.
- September 28, 2017
The Strata conference in New York saw big data platform vendor MapR Technologies update MapR-DB, its NoSQL database engine, to better perform in real-time analytics applications.
- August 30, 2017
In this Talking Data podcast, TechTarget editors discuss Hadoop's future, IBM's decision to resell the Hortonworks distribution of the open source technology and other big data issues.
- July 31, 2017
Data management startup Dremio has aimed its Apache Arrow expertise at the problem of self-service data delivery. In-column caches and optimization speed queries across varied data stores.
- July 24, 2017
In many organizations, chief data officer jobs centered on defense against risk are giving way to ones emphasizing innovation. To do so, CDOs must nurture a data culture, MIT panelists said.
- July 10, 2017
MongoDB targets better dashboard visualization with MongoDB Charts, which adds another means for business users trying to look into their NoSQL data pools.
- 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 28, 2017
Systems of engagement represent a hotbed of activity in data management these days. Flexibility and scalability are watchwords.
- 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.