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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
A NoSQL database which stores and retrieves data differently than a traditional relational database. NoSQL databases are also known as non-relational databases, or as Not-only-SQL databases, the reason for giving such a name is because they can have a SQL-like language, which is used to query data. NoSQL databases rose to popularity with the emergence of companies such as Google and Amazon because of the requirements of real-time web applications combined with massive amounts of data (Big Data). Its simplistic design allows horizontal scalability across multiple nodes easily, resulting in high availability.
Hadoop is not free from some limitations when it comes to processing and retrieval of data. HDFS is apt at sequential querying of data. But one notable weakness of HDFS is, it cannot query data randomly. For example, if Hadoop were to look up a word in the dictionary, finding the right word would start from the beginning and go through every line. But with a NoSQL database, you could randomly go to a page and start looking or go to a specific letter and start viewing there, which could have taken much less time.
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