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

Advance Hive & Sqoop - Expert in Big Data Analytics (CCA159)

Great for CCA 159 Preparation - Big Data Certification for Non Programmers,Business Analyst,Testers and Sql Developers.

Created by : Rated :4.6 94252 views

Last Updated: 2023-03-28 08:03:53 English Course Type: Self Learning

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

This course will prepare you for Advance Hive and prepare you to undergo CCA159 (Cloudera Big Data Analyst Certification),

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

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

Basic Knowledge of SQL

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

Section 1 : Hadoop Introduction 2 Lectures 00:09:16
Lecture 1 :
Hadoop_Distributed_File_System Preview
Lecture 2 :
Resource
Section 2 : Apache Sqoop Import 13 Lectures 01:01:22
Lecture 1 :
Sqoop Introduction
Lecture 2 :
Managing Target Directory
Lecture 3 :
Working with Different File Formats
Lecture 4 :
Working with Different Compressions
Lecture 5 :
Conditional Imports
Lecture 6 :
Split-By and Boundary Queries
Lecture 7 :
Field Delimiters
Lecture 8 :
Incremental Appends
Lecture 9 :
Sqoop Hive Import
Lecture 10 :
Practice 1
Lecture 11 :
Practice 2
Lecture 12 :
Practice 3
Lecture 13 :
Sqoop List database
Section 3 : Apache Sqoop Export 2 Lectures 00:06:09
Lecture 1 :
Export from HDFS to MYSQL
Lecture 2 :
Export from Hive to MYSQL
Section 4 : Apache Hive 6 Lectures 00:24:16
Lecture 1 :
Hive Introduction
Lecture 2 :
Hive Database
Lecture 3 :
Hive Managed Tables
Lecture 4 :
Hive External Tables
Lecture 5 :
Hive Insert
Lecture 6 :
Hive MultiInsert
Section 5 : Hive DataTypes 4 Lectures 00:14:26
Lecture 1 :
DataTypes Introduction
Lecture 2 :
Array DataType
Lecture 3 :
Map DataType
Lecture 4 :
Struct DataType
Section 6 : Hive Functions 5 Lectures 00:22:37
Lecture 1 :
Collection Functions
Lecture 2 :
Conditional Functions
Lecture 3 :
String Functions
Lecture 4 :
Date Functions
Lecture 5 :
Mathematical Functions
Section 7 : Hive Join 3 Lectures 00:15:17
Lecture 1 :
Join in Hive
Lecture 2 :
Multi Joins in Hive
Lecture 3 :
Map Side Joins
Section 8 : Working with FileFormats 3 Lectures 00:11:00
Lecture 1 :
Working with Parquet
Lecture 2 :
Compressing Parquet
Lecture 3 :
Working with Fixed File Format
Section 9 : Advance Hive 5 Lectures 00:22:17
Lecture 1 :
Hive Partitioning
Lecture 2 :
Hive Bucketing
Lecture 3 :
Views in Hive
Lecture 4 :
Lateral View/Explode
Lecture 5 :
Hive Analytics
Section 10 : Windows Functions 4 Lectures 00:26:26
Lecture 1 :
Rank/Dense Rank Windowing Function
Lecture 2 :
Lead/Lag Windowing Function
Lecture 3 :
Min/Max Windowing Function
Lecture 4 :
Windowing Specification

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Navdeep Kaur,

365153 Course Views

3 Courses

I am a big data professional with 11 years of industry experience in different technologies and domains. I have keen interest in providing training in new technologies. I have received CCA175 Hadoop and Spark developer certification and AWS solution architect certification. I love guiding people and helping them achieve new goals.