Hadoop Ecosystem Tutorial: A Comprehensive Guide to Big Data Technologies
Embark on a structured learning journey through the Hadoop ecosystem and big data technologies. This comprehensive guide covers core concepts, essential tools, and practical examples, catering to both beginners and experienced professionals.
- Hadoop Tutorial
- What is Big Data?
- What is Hadoop?
- Hadoop Installation
- HDFS
- Features of HDFS
- YARN
- MapReduce
- Data Flow in MapReduce
- MapReduce API
- MapReduce Word Count Example
- MapReduce Character Count Example
- HBase
- What is HBase?
- HBase Data Model
- HBase Read
- HBase Write
- HBase MemStore
- HBase Installation
- RDBMS vs HBase
- HBase Commands
- HBase Example
- Hive
- What is Hive?
- Hive Architecture
- Hive Installation
- Hive Data Types
- Hive Create Database
- Hive Drop Database
- Hive Create Table
- Hive Load Data
- Hive Drop Table
- Hive Alter Table
- Partitioning in Hive
- Dynamic Partitioning in Hive
- Bucketing in Hive
- HiveQL Operators
- HiveQL Functions
- HiveQL Group By and Having Clause
- HiveQL Order By and Sort By Clause
- HiveQL Join
- Pig
- What is Pig?
- Pig Installation
- Pig Run Modes
- Pig Latin Concepts
- Pig Data Types
- Pig Example
- Pig UDF
- Sqoop
- What is Sqoop?
- Sqoop Installation
- Starting Sqoop
- Sqoop Import
- Sqoop Where
- Sqoop Export
- Sqoop Integration with Hadoop Ecosystem
- Apache Spark Tutorial
- Apache Spark Introduction
- Apache Spark Installation
- Apache Spark Architecture
- Apache Spark Components
- Apache Spark RDD
- Apache Spark RDD Operations
- Apache Spark RDD Persistence
- Apache Spark RDD Shared Variables
- Apache Spark Word Count Example
- Apache Spark Character Count Example
- Applications of Big Data
- Big Data Characteristics
- Hadoop Interview Questions