If you are working on Hadoop or any other platform and storing structured data, I am sure you must have heard about columnar storage types. In the past 7-8 years the popularity "columnar" has gained confirms that the buzz is not a bubble and this is the future of Data Analytics from storage perspective. What…
Category: SQL on Hadoop
Hadoop & Hive – Introduction for Beginners
Hadoop is a very popular framework for data storage and data processing. So it suffice two main purposes: Distributed Data Storage using HDFS ( Hadoop Distributed File System) Data processing using Map-Reduce. In Hadoop everything is in File format. It is capable of processing huge volume of File Data in a very efficient manner. Now…
SQL on RDBMS to SQL on Hadoop/Cloud
We all have been using SQL on RDBMS for so long now. The time has come when we shall switch to SQL on Hadoop/Cloud. SQL (Structured Query Language) help us in communicating with any RDBMS like Teradata, Oracle, Netezza, SQL Server etc which are mostly used for OLAP purposes. Traditional Datawarehouse systems used to store…
