Earlier today, Cloudera proudly released the Cloudera Connector for Tableau. The availability of this connector serves both Tableau users who are looking to expand the volume of datasets they manipulate and Hadoop users who want to enable analysts like Tableau users to make the data within Hadoop more meaningful. Enterprises can now extract the full value of big data and allow a new class of power users to interact with Hadoop data in ways they priorly could not.
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,
This post provides a high-level overview of Apache Sqoop (incubating). It discusses the general problem addressed by Sqoop and provides simple examples on how to use it. This post is written by Arvind Prabhakar, who is a Sqoop committer.
Phil Langdale is a software engineer at Cloudera and the technical lead for Clouderas SCM Express product.
What is SCM Express?
As powerful and useful as Apache Hadoop is, anyone who has setup up a cluster from scratch is well aware of how challenging it can be: every machine has to have the right packages installed and correctly configured so that they can all work together,