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 […]
Columnar Storage & why you must use it Read More »
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
Hadoop & Hive – Introduction for Beginners Read More »
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
SQL on RDBMS to SQL on Hadoop/Cloud Read More »