Hadoop

Lecture 1. Hadoop Introduction | What is Hadoop? | Big Data Analytics using Hadoop |

Lecture 2. Hadoop Ecosystem Explained | Hadoop tools for handling Big Data

Lecture 3. Install Hadoop Cluster on your Windows PC | HDP Sandbox installation step-by-step guide

Lecture 4. Interacting with HDFS using Command Line Interface and Ambari Web UI | HDP Sandbox | Hadoop Tutorial

Lecture 5. HDFS- All you need to know! | Hadoop Distributed File System

Lecture 6. Understanding MapReduce in Hadoop | What is MapReduce and how it works?

Lecture 7. Installing MRJob, Python, Nano in Hadoop cluster to run our first MapReduce job! | Hadoop Tutorial

Lecture 8. Running our first MapReduce Job! | Analyzing Movie Ratings data to get the most popular ratings

Lecture 9. MapReduce job to get the most popular movie from a dataset [Exercise] | Hadoop MapReduce Tutorial

Lecture 10. Hive: A Relational Data Store for Hadoop | What is Hive and how it works? | Hadoop Tutorial

Lecture 11. Running Hive Queries on Hadoop through Ambari Web UI | Hadoop Hive Tutorial

Lecture 12. Running Hive Queries through Command Line (Hive Shell) | Hadoop Tutorial

Lecture 13. Apache Spark with Hadoop | What is Spark and why it is used? | Big Data Hadoop Tools Explained

Lecture 14. RDD (Resilient Distributed Dataset) Explained | Apache Spark Core Concepts | Hadoop Tutorial

Lecture 15. Spark DataFrame Explained | What is DataFrame and how to create it? | Hadoop Tutorial

Lecture 16. Running our First Spark Application on Hadoop Cluster [Activity] | Spark with Hadoop Tutorial

Lecture 17. Introducing Apache Pig with Hadoop | What is Pig and why we use it?

Lecture 18. Running Apache Pig Script on Hadoop Cluster [Activity] | Finding most popular movie in a dataset

Lecture 19. Integrating MySQL with Hadoop using Sqoop tool | Working with Relational Databases with Hadoop

Lecture 20. Configuring MySQL and Importing the Required Data Files | MySQL with Hadoop