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$29
What you'll learn?
- Students will learn Advance Hive and Sqoop for Big Data Analytics and Ingestion.
Course Overview
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
Pre-requisites
- Basic Knowledge of SQL
Target Audience
- Who are preparing for CCA159 Cloudera Big Data Analytics
- Certification or who wants to learn Advance Hive & Sqoop
Curriculum 47 Lectures 03:33:06
-
Section 1 : Hadoop Introduction
- Lecture 2 :
- Resource
-
Section 2 : Apache Sqoop Import
- 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
- Lecture 1 :
- Export from HDFS to MYSQL
- Lecture 2 :
- Export from Hive to MYSQL
-
Section 4 : Apache Hive
- 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
- Lecture 1 :
- DataTypes Introduction
- Lecture 2 :
- Array DataType
- Lecture 3 :
- Map DataType
- Lecture 4 :
- Struct DataType
-
Section 6 : Hive Functions
- Lecture 1 :
- Collection Functions
- Lecture 2 :
- Conditional Functions
- Lecture 3 :
- String Functions
- Lecture 4 :
- Date Functions
- Lecture 5 :
- Mathematical Functions
-
Section 7 : Hive Join
- Lecture 1 :
- Join in Hive
- Lecture 2 :
- Multi Joins in Hive
- Lecture 3 :
- Map Side Joins
-
Section 8 : Working with FileFormats
- Lecture 1 :
- Working with Parquet
- Lecture 2 :
- Compressing Parquet
- Lecture 3 :
- Working with Fixed File Format
-
Section 9 : Advance Hive
- 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
- Lecture 1 :
- Rank/Dense Rank Windowing Function
- Lecture 2 :
- Lead/Lag Windowing Function
- Lecture 3 :
- Min/Max Windowing Function
- Lecture 4 :
- Windowing Specification
Our learners work at
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Instructor
363153 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.
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