What you’ll learn
- Overview of Big Data ecosystem such as Hadoop HDFS, YARN, Map Reduce, Sqoop, Hive, etc
- Overview of HDFS Commands such as put or copyFromLocal, get or copyToLocal, cat, etc along with concepts such as block size, replication factor, etc
- Managing Tables in Hive Metastore using DDL Commands
- Load or Insert data into Hive Metastore Tables using commands such as LOAD and INSERT
- Overview of Functions in Hive to manipulate strings, dates, etc
- Writing Basic Hive QL Queries using WHERE, JOIN, GROUP BY, etc
- Analytical or Windowing Functions in Hive
- Overview of Impala and understanding similarities and differences between Hive and Impala
- Getting Started with Sqoop by reviewing official documentation and also exploring commands such as Sqoop eval
- Importing Data from RDBMS tables into HDFS using Sqoop Import
- Importing Data from RDBMS tables into Hive tables using Sqoop Import
- Exporting Data from Hive or HDFS to RDBMS tables using Sqoop Export
- Incremental Imports using Sqoop Import into HDFS or Hive Tables
How to Enroll Sqoop, Hive and Impala for Data Analysts (Formerly CCA 159) course?
How many members can access this course with a coupon?
Sqoop, Hive and Impala for Data Analysts (Formerly CCA 159) Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!