Keeping with our release policy for Cloudera’s Distribution Including Apache Hadoop (CDH) I’m pleased to announce the availability of update 3 for CDH3. As a reminder, we ship updates for our most recent GA distribution every 3 months. Updates primarily include bug fixes but when possible we will also include features from our mid-term roadmap. We’ll only include new features when they do not introduce instability or break compatibility. As always, users have the option to skip updates without incurring any future upgrade cost.
When most people first hear about data science, it’s usually in the context of how prominent web companies work with very large data sets in order to predict clickthrough rates, make personalized recommendations, or analyze UI experiments. The solutions to these problems require expertise with statistics and machine learning, and so there is a general perception that data science is intimately tied to these fields. However, in my conversations at academic conferences and with Cloudera customers,
Cloudera users gain more choice, tighter Oracle integration. Cloudera partners gain increased validation of their platform choice.
Ed leads business development for Cloudera. He is responsible for identifying new markets, revenue opportunities and strategic alliances for the company.
Summary: Oracle has selected Cloudera’s Distribution Including Apache Hadoop (CDH) and Cloudera Manager software as core technologies on the Oracle Big Data Appliance,
2011 was a breakthrough year for Apache Hadoop as many more mainstream organizations large and small turned to Hadoop to manage and process Big Data, while enterprise software and hardware vendors have also made Hadoop a prominent part of their offerings. Big Data and Hadoop became synonymous in much of the enterprise discourse, and Big Data interest is not restricted to Big Companies.
Apache Hadoop Releases
Hadoop had three major releases in 2011: 1.0 (AKA 0.20.205.x),
This guest blog post is from Alex Loddengaard, creator of FoneDoktor, an Android app that monitors phone usage and recommends performance and battery life improvements. FoneDoktor uses WibiData, a data platform built on Apache HBase from Clouderas Distribution including Apache Hadoop, to store and analyze Android usage data. In this post, Alex will discuss FoneDoktors implementation and discuss why WibiData was a good data solution.