2015 Analytics Big Data IoT 
CTOvision
FEBRUARY 17, 2015
From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Opens Data Refinery to Amazon Redshift and Cloudera Impala; Pushes the Limits of Analytics Through Blended, Governed Data Delivery On Demand. Big Data Analytics with Cloudera Impala. “As
Cloudera
DECEMBER 19, 2018
Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.
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CTOvision
FEBRUARY 10, 2015
Hitachi Data Systems Announces Intent to Acquire Pentaho to Deliver More Value From Big Data and the Internet of Things That Matter. Acquisition delivers data integration, business analytics expertise, and foundational technologies that accelerate big data value.
Kentik
MAY 8, 2016
As we discussed in an earlier post, From NetFlow Analysis to Business Outcome , a Big Data approach to collecting, storing, accessing, and analyzing management data enables the level of collaboration that’s required for an organization to exhibit the key characteristics of a digital business. Big Data for Network Management.
Hu's Place - HitachiVantara
APRIL 11, 2019
Few Data Management Frameworks are Business Focused Data management has been around since the beginning of IT, and a lot of technology has been focused on big data deployments, governance, best practices, tools, etc. However, large data hubs over the last 25 years (e.g., What has changed since then?
CTOvision
JUNE 15, 2015
BM Joins Spark Community, Plans to Educate More Than 1 Million Data Scientists. ARMONK, NY - 15 Jun 2015: IBM (NYSE:IBM) today announced a major commitment to Apache®Spark™, potentially the most important new open source project in a decade that is being defined by data. Spark Drives Business Transformation for IBM Clients.
CTOvision
FEBRUARY 4, 2016
In much the same way businesses have been eager to use big data analytics to improve their operations, many companies have paid a lot of interest to the growing field of machine learning. The recent rise in the number of machine learning SaaS solutions launched in 2015 shows that this development has genuine staying power.
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