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Characteristics of Big Data
Application of Big Data Processing
Introduction to BIG DATA
Where to get Big Data?
Types of Big Data
Storage layer - HDFS (Hadoop Distributed File System)
MapReduce
YARN
How Hadoop works?
Hadoop Eco System
Hadoop Architecture
Hadoop Installation & Environment Setup
Setting Up A Single Node Hadoop Cluster
Ubuntu User Configuration
SSH Setup With Key Generation
Disable IPv6
Download and Install Hadoop 3.1.2
Working with Configuration Files
Start The Hadoop instances
Hadoop Distributed File System (HDFS)
HDFS Features and Goals
HDFS Architecture
Read Operations in HDFS
Write Operations In HDFS
HDFS Operations
YARN
YARN Features
YARN Architecture
Resource Manager
Node Manager
Application Master
Container
Application Workflow in Hadoop YARN
Hadoop MapReduce
How MapReduce Works?
MapReduce Examples with Python
Running The MapReduce Program & Storing The Data File To HDFS
Create A Python Script
Hadoop Environment Setup
Execute The Script
Apache Hive Definition
Why Apache Hive?
Features Of Apache Hive
Hive Architecture
Hive Metastore
Hive Query Language
SQL vs Hive
Hive Installation
Apache Pig Definition
MapReduce vs. Apache Pig vs. Hive
Apache Pig Architecture
Installation Process Of Apache Pig
Execute Apache Pig Script
Hadoop Eco Components
NoSQL Data Management
Apache Hbase
Apache Cassandra
Mongodb
Introduction To Kafka
The Architecture of Apache Flume
Apache Spark Ecosystem
Apache Hive is an open-source data warehouse system built on top of Hadoop. It is used for querying and analyzing large datasets stored in Hadoop files. It processes structured and semi-structured data in Hadoop. Initially, we had to write complex Map-Reduce jobs, but now with the help of the Hive, we need to submit a SQL like queries. Hive is primarily aimed at users who are familiar with SQL. Hive uses a SQL like language called HiveQL (HQL). HiveQL converts SQL-like queries into MapReduce jobs automatically. The key thing to notice is that there is no need for Hive to know java. The Hive generally runs on a workstation and converts SQL query into a series of jobs to execute on a Hadoop cluster. Hive organizes data into Hive tables. This provides a means for storing the data in HDFS in a structured way.
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