Big Data Analyst -using Sqoop and Advance Hive (CCA159)

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Big Data Analyst -using Sqoop and Advance Hive (CCA159) provided by Udemy is a comprehensive online course, which lasts for 4-5 hours worth of material. Big Data Analyst -using Sqoop and Advance Hive (CCA159) is taught by Navdeep Kaur. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Overview
  • Become Big data Analyst using Hive and Sqoop.Great course for business Analyst,Testers and Sql Developers.CCA159

    What you'll learn:

    • Students will learn Advance Hive and Sqoop for Big Data Analytics and Ingestion.

    You will start by learning what is Hadoop & Hadoop distributed file system and most common hadoop commands required to work with Hadoop File system


    Then you will be introduced to Sqoop Import

    • Understand lifecycle of sqoop command.

    • Use sqoop import command to migrate data from Mysql to HDFS.

    • Use sqoop import command to migrate data from Mysql to Hive.

    • Use various file formats, compressions, file delimeter,where clause and queries while importing the data.

    • Understand split-by and boundary queries.

    • Use incremental mode to migrate the data from Mysql to HDFS.


    Further, you will learn Sqoop Export to migrate data.

    • What is sqoop export

    • Using sqoop export, migrate data from HDFS to Mysql.

    • Using sqoop export, migrate data from Hive to Mysql.


    Finally, we will start with Apache Hive [Advance]

    • Hive Intro

    • External &Managed Tables

    • Insert & Multi Insert

    • Data Types & Complex Data Types

    • Collection Function

    • Conditional Function

    • Hive String Functions

    • Hive Date Functions

    • Mathematical Function

    • Hive Analysis

    • Alter Command

    • Joins, Multi Joins &Map Joins

    • Working with Different Files - Parquet,Avro

    • Compressions

    • Partitioning

    • Bucketing

    • Views

    • Lateral Views/Explode

    • Windowing Functions - Rank/Dense Rank/lead/lag/min/max

    • Window Specification