Cloudera and Mount Sinai: The structure of a Big Data Revolution?
Can a disruptive molecular biologist and the leading company in the Hadoop ecosystem make medical research change its methodologies for the better?
Veteran data geek Andrew Brust covers Big Data technologies including Hadoop, NoSQL, Data Warehousing, BI and Predictive Analytics.
Andrew J. Brust has worked in the software industry for 25 years as a developer, consultant, entrepreneur and CTO, specializing in application development, databases and business intelligence technology.
Can a disruptive molecular biologist and the leading company in the Hadoop ecosystem make medical research change its methodologies for the better?
June was a big month for the cloud and for Hadoop. It was also a big month for the intersection of the two.
I sit down with Mike Hoskins, CTO of Pervasive Software and host Jonas Tichenor as part of ZDNet’s Hot Topics series. Catch this replay of the webcast to see our analysis of Big Data and how its established and emerging technologies can be used to give your organization a competitive edge.
With the emergence of Big Data and new analytic data platforms that handle different kinds of data, such as Hadoop, do the same data stewardship practices that have been around since the mid 90’s still apply?
How can Hadoop and Enterprise data warehouse technology be made to work together in the 2010s? Ask a company that started with mainframes in the 1960s.
The digitization and networking of nearly everything is presenting new opportunities for small businesses, says IBM's Rod Smith.
Opera Solutions' machine learning technology helps hospitals' clinical and administrative systems interoperate better, and bill more accurately.
Hadoop focuses on what it needs to do to become more consumable for the enterprise; a tooling ecosystem addressing “clusterophobia” and consumption.
Data warehousing kingpin Teradata's Aster unit and Hadoop ecosystem all-star Hortonworks have teamed to integrate Hadoop's meta data store into Aster Database's. This will facilitate remote queries, locally persisted data, and relational-Hadoop data mashups.