Tableau public ubuntu full#
Tableau public ubuntu software#
Tableau public ubuntu series#

These capabilities significantly extend the real-world usability of Hadoop clusters in Hive. Tableau also handles Hive columns containing XML data by allowing you to write HiveQL to un-nest XML elements. The Initial SQL setting in the Tableau Hadoop Hive Connection, allows you to specify any number of settings Hive can use to improve functionality and performance of the Hive queries. Connections to Hadoop-Hive may also utilize Custom HiveQL expressions, which allows for a more filtered or pre-aggregated data set. For example, dates are stored as strings in Hadoop-Hive and Tableau allows you to change this string date into a Date & Time, thereby allowing you to drill-up and drill down on date dimensions. Since the primitive data types supported by HiveQL are limited, Tableau users can take advantage of its ability to promote datatypes. However, Tableau doesn’t only simplify the Hadoop technology, it also extends it.

Tableau public ubuntu series#

A connection in Tableau to Hadoop will be visually displayed as a series of fields that you can drag-and-drop to visualize with, as you can see below.

Tableau public ubuntu full#

Tableau makes it easy for you to perform sophisticated visual analysis without having to learn HiveQL while allowing the more advanced user to take full advantage of the Hive/MapReduce capabilities. Since Hadoop can scale to massive amounts of data, it is increasingly being used for storage, log file analysis, web analytics, data-mining, live content serving, fraud detection and other data intensive tasks. This puts the powerful capabilities of Hadoop into the hands of anyone who wants to analyze data. Connecting to Hadoop in Tableau is exactly the same as connecting to any other datasource, with no additional setup required. With version 7.0, Tableau lets you connect to Apache Hadoop through Cloudera’s driver. Hive is a data warehouse infrastructure built on top of Hadoop that provides a SQL like query language called HiveQL that allows users more familiar with SQL to query data. However, all of that data storage capability is wasted if there is no way to access it. The upshot is that Hadoop enables enormous data volumes in many different formats to be stored and processed rapidly. One of the special qualities of the database is that it can process any kind of data – structured, semi-structured, unstructured and even nested data, which traditional relational databases don’t deal with very well. Hadoop runs on commodity hardware and scales horizontally.

Tableau public ubuntu software#

Hadoop is a software framework that enables distributed processing of large volumes of data (in the order of petabytes) on clusters of computer nodes using a simple programming model called MapReduce. When Tableau is combined with Apache Hadoop from Cloudera you can get rapid analytics on top of massive amounts of semi-structured, unstructured and nested data. Reference Materials Toggle sub-navigation.Teams and Organizations Toggle sub-navigation.Plans and Pricing Toggle sub-navigation.