News

News

• July 31, 2017 31 Jul'17

  Apache Arrow to power startup Dremio's self-service data platform

  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 24 Jul'17

  Chief data officer jobs call for nurturing data ethos in companies

  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 10 Jul'17

  MongoDB 'Charts' a way to dashboard visualization from its database

  MongoDB targets better dashboard visualization with MongoDB Charts, which adds another means for business users trying to look into their NoSQL data pools.

• June 30, 2017 30 Jun'17

  Agile database development spurs changes in data tech, DBA roles

  The quest for the agile database is putting developers in the forefront and has some DBA tasks moving to the development groups, according to panelists at a conference in Boston.

• June 29, 2017 29 Jun'17

  Data governance crucial to comply with EU's GDPR legislation

  With the EU's new General Data Protection Regulation looming on the horizon, companies -- including many in the U.S. -- need to get going on required data governance upgrades.

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• June 23, 2017 23 Jun'17

  MongoDB Atlas footprint grows bigger with Azure, Google cloud support

  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 20 Jun'17

  IBM bets on Hortonworks Hadoop platform as its big data engine

  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 31 May'17

  Data prep for deep learning applications means careful planning

  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 12 May'17

  Startup Confluent makes Kafka cloud play to ease streaming deployment

  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 28 Apr'17

  Building a data lake takes meticulous planning -- and flexibility

  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 28 Apr'17

  Systems of record take back seat to systems of engagement, innovation

  Systems of engagement represent a hotbed of activity in data management these days. Flexibility and scalability are watchwords.

• April 20, 2017 20 Apr'17

  Spark processing engine more at home in cloud, Databricks CEO says

  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 14 Apr'17

  Persistence pays off for software containers in big data

  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 31 Mar'17

  AWS data lake pumps up Beachbody's analytics architecture

  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 24 Mar'17

  Blockchain data disruption aborning, IDC analyst says

  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.