Hadoop is fast becoming a preferred way to deal with huge or unstructured data. Examples of common uses for Hadoop include ecommerce data, web log data, XML objects and many other kinds of critical business data. Tableau came up with its connector for Cloudera’s Distribution Including Apache Hadoop (CDH) last year. Native connectivity to MapR’s open, enterprise-grade distribution for Apache Hadoop is possible through Tableau 7.0.7. Tableau and MapR together provide fast, easy and dependable access to big, unstructured data sets and the ability to see and understand them in real-time.
MapR has recently teamed up with Nimbula to enable creation of Hadoop Clusters on the latter's private cloud with ease.
“MapR’s advanced distribution for Apache Hadoop combined with Tableau’s visual analytics will help businesses across industries gain insights from their big data,” said Alan Geary, sr. director of business development, MapR Technologies. “MapR is used by some of the world’s most reputable companies who will now be able to visualize and analyze complex, unstructured data in new ways.”
“The complexity and size of data can be overwhelming for many large enterprises,” said Chris Stolte, chief development officer, co-founder and inventor of Tableau Software. “The promise to see and understand data, no matter how large and complex, is made easier when Tableau and MapR bring it to life.”
With Tableau 7.0.7, Japanese customers will enjoy the ability to interact with data in their native language. Japanese is Tableau’s third localized delivery this year, as the company introduced Spanish and Brazilian Portuguese in the first half. French and German versions are also available. Tableau assures to more localized versions according to the demand from customers around the world.