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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
Big data includes information generated by various devices and apps. Some of the areas that come under the Big Data umbrella are given below.
Social media data − Social media like Facebook and Twitter contain data and opinions published by millions around the world.
Medical History Data – Major physical anomalies (Cancer, Genetic disorder, Heart disease) with all kinds of data are available, and we are predicting diseases based on those.
Stock Exchange Data − Stock exchange data contains information on the 'purchase' and ‘sell' choices taken by clients on a share of various businesses.
Power Grid Data − the power grid data set holds information consumed by a particular node concerning a base station.
Transportation data − Transportation information involves a vehicle's model, ability, distance and accessibility.
Search Engine Data − Search engines collect loads of information from various databases.
Black Box Data − the best examples are a helicopter, aircraft, and jet component data, etc. It captures flight crew voices, microphone and earphone recordings, and the aircraft's performance data.
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