Lots of data professionals who work in the Microsoft database and cloud ecosystems have been wondering out loud when Microsoft would offer a cloud data warehouse service to compete with Amazon's Redshift. The answer came today in San Francisco during the opening keynote at Microsoft's Build conference as Executive Vice
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When Big Data Becomes More Valuable Than Your Products / Services
A recent global study across 1000 executives conducted by EMC and Capgemini reports the following: “64% of respondents said that big data is changing traditional business boundaries and enabling non-traditional providers to move into their industry, and over half (53%) expect to face increased competition from start-ups enabled by data.”
EMC launches integrated data lake stack
This data lake stack includes VMware, Pivotal, EMC and third party Hadoop vendors such as Cloudera and Hortonworks as well as analytics platforms including SAS and Tableau. EMC and its federated companies---Pivotal and VMware---have integrated a few third party vendors in what it bills a preintegrated data lake for big
Making Hadoop Simple On-premises and in the Cloud
An increasing number of enterprises are either currently using or are planning to use cloud deployment models to expand their IT infrastructure for big data. We find that organizations are looking for an open and flexible platform that enables them to deploy big data and Hadoop solutions on-premises, in the
MapReduce for C: Run Native Code in Hadoop
Google launches a dashboard to update developers on the status of Cloud Platform services
Google today formally announced the existence of a status dashboard for several of its cloud infrastructure services in the Google Cloud platform. The dashboard first showed up online last year in “experimental” mode, but now that designation has been dropped. Google does still consider it to be in beta, though.
Google’s Dataflow pipeline tool can now run on Spark, thanks to Cloudera
Big Data deployments will move into real-time processing, says MapR
In 2015, data agility will emerge as a top focus, organizations will move from data lakes to processing data platforms, and self-service Big Data will go mainstream. This is all according to John Schroeder, CEO and co-founder of MapR Technologies, Inc., a provider of an enterprise-grade distribution for Apache Hadoop.