As a leading data visualization tool, Tableau has many desirable and unique features. Its powerful data discovery and exploration application allows you to answer important questions in seconds. You can use Tableau's drag and drop interface to visualize any data, explore different views, and even combine multiple databases easily. It does not require any complex scripting. Anyone who understands the business problems can address it with a visualization of the relevant data. After analysis, sharing with others is as easy as publishing to Tableau Server. Tableau Features Tableau provides solutions for all kinds of industries, departments, and data environments. Following are some unique features which enable Tableau to handle diverse scenarios. Speed of Analysis − As it does not require high level of programming expertise, any user with access to data can start using it to derive value from the data. Self-Reliant − Tableau does not need a complex software setup. The desktop ve...
The traditional application management system, that is, the interaction of applications with relational database using RDBMS, is one of the sources that generate Big Data. Such Big Data, generated by RDBMS, is stored in Relational Database Servers in the relational database structure. When Big Data storages and analyzers such as MapReduce, Hive, HBase, Cassandra, Pig, etc. of the Hadoop ecosystem came into picture, they required a tool to interact with the relational database servers for importing and exporting the Big Data residing in them. Here, Sqoop occupies a place in the Hadoop ecosystem to provide feasible interaction between relational database server and Hadoop’s HDFS. Sqoop − “SQL to Hadoop and Hadoop to SQL” Sqoop is a tool designed to transfer data between Hadoop and relational database servers. It is used to import data from relational databases such as MySQL, Oracle to Hadoop HDFS, and export from Hadoop file system to relational databases. It is provided...
Differences between Hive and Pig: Hive Pig 1.Hive is declarative language works on HiveQL(HQL) which is similar to SQL. 1.Pig is procedural language. Works on Pig Latin 2.Used by data analytics people 2.Used by Researchers, and programmers. 3.Works only on structured data. 3.Works on structured, semi structured and unstructured data . 4.Hive operates on server side of the cluster. 4.Pig operates on Client side of the cluster. 5.Supports partitioning of data. 5.Doesnot support partitioning. 6.Doesnot load the data quickly but executes quickly 6.Loads the data quickly and effectively 7.Has separate metadata database on HDFS. 7.Doesnot have separate metadata database.Uses HDFS as its database. 8.Hive was first developed by facebook 8.Pig was first developed by ...
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