The is a hands on based course which includes demo on all the major topics in Hive .

The course includes the best practices used in the industry. This course includes all the essential skills in Hive that makes anyone start working on Hive immediately after completing the course .

Data is a profitable asset that helps organizations to understand their customers better and therefore improve performance.. Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis.Hive is not designed for OLTP workloads and does not offer real-time queries or row-level updates. Hive looks very much like a traditional database code with SQL access. However, because Hive is based on Hadoop and MapReduce operation, there are several key differences

Hive is considered as one of the popular data warehouse application to store and summarize structured Big data sets by facilitating us to write SQL like queries to efficiently extract business data. It converts SQL queries into Map reduce(MR) programs and process it distributive, hive uses MR as a default execution engine and it can process data available in HDFS, S3 any distributed file system per say.

• Introducing Big data & Hadoop

• Basic Hadoop Commands

• Introducing Hive

• Database In Hive

• Tables(Internal & External)In Hive

• Performance Tuning(With Optimization Example)

• Case Statement In Hive

• Partitioning & Bucketing In Hive

• Hive Built In Functions

• What Is Sqoop?

  • Import MySql table into Hdfs

  • Exporting HDFS file to MySql

  • Importing MySql Table To Hive

  
  

• Additional Section

  • Consuming AWS S3 Bucket Data From Hive

  • Introduction To Spark