Actian's been collecting Big Data companies lately. Now it's combining and integrating their wares in two new platform offerings.
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 is also Founder and CEO of Blue Badge Insights, an analysis, strategy and advisory firm serving Microsoft customers and partners.
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.
SiSense announces a new version of its data visualization and BI database engine suite, along with major performance increases.
Data discovery rock star Tableau goes public on the NYSE, with ticker symbol "DATA." But will Tableau now grow or plateau?
Dell Software's SharePlex replication tool for Oracle now works with Hadoop, or anything else that can talk to a JMS queue.