Analytics – The Next Wave in DevOps
Think analytics is just about data from databases, logs and sensor output? Think again. Analytics can actually help developers debug their apps and prioritize feature support.
Andrew Brust, Tony Baer and George Anadiotis cover Big Data technologies including Hadoop, NoSQL, Data Warehousing, BI and Predictive Analytics.
Think analytics is just about data from databases, logs and sensor output? Think again. Analytics can actually help developers debug their apps and prioritize feature support.
Cloudera has launched its Sentry security module for Hive and Impala. But is a more comprehensive security solution for Hadoop possible?
The Tableau data exploration and visualization suite is now available in the cloud. The cost? $500 per user, per year.
Actian's been collecting Big Data companies lately. Now it's combining and integrating their wares in two new platform offerings.
Microsoft consolidates its PowerPivot, Power View, Data Explorer and GeoFlow properties into one self-service, cloud and mobile BI platform, delivered via Office 365.
If you just can't leave the topic of big data behind as you hit the beach or BBQ circuit this weekend, then perhaps a reading list on the subject is in order.
For the opening day of Hadoop Summit in San Jose, MapR/Fusion-io and Zettaset/Informatica announce new partnerships, and Couchbase announces a new release.
The A-list data warehouse company will sell and support Hadoop on its own appliances, commodity hardware and even as standalone software.
Splunk integrates its own code with Hadoop MapReduce, allowing in-place analysis of Hadoop data.
Roambi Business takes Roambi Analytics off-prem; North American Partner Program formalizes SI/reseller channel.
Hadoop-compatible database using advanced compression adds enterprise security and search-based query functionality.
Datameer announces version 3 of its spreadsheet-like user interface tool for Big Data analytics. The new version will feature functionality to automatically detect patterns and relationships in data stored in Hadoop.
SiSense brings its single-server Prism BI/Big Data package to the Rackspace cloud, offering low-overhead analytics, on a subscription basis.
Instead of a data scientist, what if you only needed your GoogleBing-fu to analyze data in Hadoop? That may be a stretch, but it's exactly what Cloudera is working toward.
In last week's ZDNet "Great Debate," Robin Harris and I faced off on the question of whether "we need data scientists to make sense of this tidal wave of information." I think data scientists are important, but they're not the solution. What follows is my argument, in essay form.
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