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?
Big on Data
Veteran data geek Andrew Brust covers Big Data technologies including Hadoop, NoSQL, Data Warehousing, BI and Predictive Analytics.
Andrew 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. He has been a developer magazine columnist and conference speaker since the mid-90s, and a technology book writer and blogger since 2005. Andrew serves as Senior Director, Technical Product Marketing and Evangelism at Datameer, a big data analytics company.
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.
Watch a video Webcast with a leader in Big Data Analytics.
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.
Datameer is announcing its 2.0 release today, including a $299 Personal edition that runs on the desktop and a $2999 Workgroup edition that runs on a single server.
The NoSQL Data Layer as a Service company gets hitched with Microsoft's Platform as a Service cloud.
Cloudera, maker of the most widely deployed Hadoop distribution, announces version 4 of the open source distro and its Cloudera Enterprise commercial offering.
Revolution Analytics is to "R" what Cloudera is to Hadoop. And with a new version of Revolution R Enterprise, this little programming language graduates to Big Data exploration powerhouse.
Big Data is not always about Hadoop, and it's not always about new technologies. As Trendspottr shows us, sometimes hardcore algorithms, even older ones, provide new breakthroughs.
At the NYC Data Business Meetup, constituencies congregate to foster Big Data, beyond its mere technology.
A leading open source Business Intelligence player and a NoSQL darling integrate their products as the broader worlds of Big Data, BI and NoSQL grow ever more intertwined themselves.
Cloudant is enlarging its cloud-based NoSQL data-layer-as-a-service. That may sound merely infrastructural, or interesting only to developers, but the Big Data ramifications are significant.