Friday "Term of the week" Series

Term of the Week : Apache Tez

The Apache Tez project is an extensible framework built on top of Apache Hadoop YARN. It is used to process data, that earlier took multiple MR jobs, now in a single Tez job which uses Directed Acyclic Graph (DAG) for data processing. It is used for building high performance batch and interactive data processing applications.… Continue reading Term of the Week : Apache Tez

Tuesday Big Data Series

SQL and HiveQL query examples

Well, we know that HiveQL is very similar to SQL. The detailed Hive Language Manual describes all the important functions and semantics that are used in Hive. Please find below some examples to get you started on Hive. If you have been using SQL in the past and are familiar with the semantics, see how you can use… Continue reading SQL and HiveQL query examples

Monday Technology Series

What is Apache Tez?

The Apache Tez project is an extensible framework built on top of Apache Hadoop YARN. It is used to process data, that earlier took multiple MR jobs, now in a single Tez job which uses Directed Acyclic Graph (DAG) for data processing. It is used for building high performance batch and interactive data processing applications. It drastically improves… Continue reading What is Apache Tez?

Monday Technology Series

What is Apache Hive?

Apache Hive is a data warehouse infrastructure built on top of Hadoop which allows querying and managing large datasets residing in distributed storage. It provides an SQL-like language called as HiveQL with schema on read and transparently converts queries to map reduce, tez or spark jobs. All these execution engines run on Hadoop YARN. The HiveQL language also… Continue reading What is Apache Hive?