- Introduction to Hadoop
- What is Big Data in a Simplified way to understand.
- What are challenges for Processing Big Data?
- Understanding Hadoop in brief
- What is HDFS and How Data is Stored in HDFS?
- HDFS Architecture Simplified!
- More Depth in HDFS Architecture.
- Installation of Hadoop on Windows in brief
- Prerequisite Software and Tools needed to install in a brief
- Step-1: Know the requirements and download setup files.
- Extract the downloaded files and copy the extracted Hadoop Folder to C-Drive
- Modification of XML Files to add properties
- Modification of XML Files to add properties- Next Step
- Modification of XML Files to add properties- Next Step
- Modification of XML Files to add properties- Next Step
- Modify XML and later verify if the processes are up and running
- And Finally!MapReduce, Push some sample data and check!
- Know Yarn in Brief!
- Know how to Install Yarn
- Set up the npm equivalent of our yarn script and compare
- Lets see what log file shows!
- How does Yarn allocate resources for a job?
- Lets know what is Apache Pig?
- Little bit indetail introduction to Pig
- Example of Pig, to understand better
- Let us understand how Pig Works?
- Installation of Apache Pig and Understand how to write sample scripts
- Scoop: Basic Understanding
- Installation of Scoop- Step-1
- Installation of Scoop- Step-2
- Importing Mysql Database tables to scoop: Step-1: Check current tables in MySQL
- Import the records to HDFS- Step-2
- Scoop Help and Version Commands
- What exactly is Apache Flume?
- Flume Understanding in brief
- Understand Flume Architecture Basics
- Understand basic Flume commands
- Configuring Flume Agent
- Simple Helloworld Example in Flume using Cloudera
- Hive Architecture in brief
- Understand some basic HIVEQL Commands
- Map Reduce Understanding along with Program