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Big Data Analyst -using Sqoop and Advance Hive (CCA159)
Rating: 4.3 out of 5(361 ratings)
5,919 students

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

Become Big data Analyst using Hive and Sqoop.Great course for business Analyst,Testers and Sql Developers.CCA159
Created byNavdeep Kaur
Last updated 7/2021
English

What you'll learn

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

Course content

10 sections55 lectures4h 57m total length
  • Big Data Intro5:24
  • Hadoop Distributed File System & Commands9:16
  • CCA159 Exam Update 20200:34
  • Cloudera vm setup0:13
  • Cluster Fixes on Google Cloud0:22
  • Cluster Setup on Google Cloud19:13
  • Environment Update0:42

Requirements

  • Basic Knowledge of SQL

Description

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

Who this course is for:

  • Who are preparing for CCA159 Cloudera Big Data Analytics Certification or who wants to learn Advance Hive & Sqoop