News

News

• September 15, 2016 15 Sep'16

  HPE sells Vertica analytics, thanks to the growth of open source software

  HPE is paring down its software holdings, including analytical database software in the Vertica line and other big data tools. A sale to Micro Focus is due to close next year, leaving users in some limbo for now.

• August 31, 2016 31 Aug'16

  HPE adapts Vertica analytical database to world with Hadoop, Spark

  Vertica 8.0 expands the analytical database's support for Kafka, Spark and Hadoop. That's an important step, as the Hewlett Packard Enterprise technology tries to compete in a field of diverse data tools.

• August 30, 2016 30 Aug'16

  Snowflake cloud data warehouse targets gaps big clouds overlook

  Cloud data warehouse offerings from smaller vendors seek to address functionality gaps that bigger players may miss. Newcomer Snowflake Computing targets concurrent queries, for example.

• August 23, 2016 23 Aug'16

  Cloud-managed database services change data administration

  Managed data services are growing in use, as types of data stores proliferate and the cloud becomes the home for more data. DevOps is a driver behind the changes, which bring new duties and needed skills for DBAs.

• July 22, 2016 22 Jul'16

  The chief data officer's dilemma: CDO role in flux

  How to balance data safety with innovative big data expansion was at issue at an MIT symposium where the chief data officer role was considered.

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• July 15, 2016 15 Jul'16

  Chief data officer job stakes claim in data innovation

  Forces at work in data management have led to the advent of the chief data officer. The role of the CDO and more is discussed in a Q&A with consultant Joe Caserta.

• July 08, 2016 08 Jul'16

  Flexible MongoDB connects to Spark analytics, adds DBaaS

  Speed to production underlies interest in MongoDB. At its annual confab, the company behind the NoSQL database rolled out improvements, including a Spark analytics link.

• July 06, 2016 06 Jul'16

  IT teams hone Hadoop monitoring, governance to boost big data value

  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 29, 2016 29 Jun'16

  As field data gets fresher, it drives real-time decision making

  Thanks to ubiquitous mobile technology, field data is more readily accessible to ESRI's Survey123 for ArcGIS. A relief organization used the software to aid Syrian war refugees.

• June 24, 2016 24 Jun'16

  DataStax gets graph DB and Titan gets rewrite

  DataStax Enterprise 5.0 couples a Cassandra column-family data store with a rewritten version of the open source Titan graph database. The goal is fast analytics closely tied to fast transactions.

• June 24, 2016 24 Jun'16

  Fifty years forward: A look at the ComputerWeekly back pages

  On the occasion of ComputerWeekly's 50th anniversary, Brian McKenna joins the Talking Data podcast crew to look back at Bletchley Park, and forward to Hadoop and AI.

• June 17, 2016 17 Jun'16

  Graph technology the beating heart of new data management tools

  Graph technology is popping up in many places, including master data management. A major data integration player has joined the quest, as seen recently at Informatica World.

• June 09, 2016 09 Jun'16

  Databricks reveals more on Spark 2.0; IBM, Microsoft renew Spark push

  Spark 2.0, with structured streaming and SQL 2003 support, is aborning as indicated at Databricks' Spark Summit, where R-to-Spark interfaces also popped up.

• June 03, 2016 03 Jun'16

  Kafka streaming gets a new twist

  Startup vendor Confluent is looking to place a stake in the big data ecosystem with Kafka streaming and management tools meant to reduce complexity in applications that place data in motion.

• June 01, 2016 01 Jun'16

  MIT panel shares tips on how to get into the data business

  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.