This document provides an agenda for a demo on Hadoop administration and development. It begins with an introduction to big data and Hadoop, explaining that Hadoop is an open-source software framework that supports distributed applications working with large datasets and clusters. The document then gives a brief history of Hadoop, defines what constitutes big data, and outlines some of the key components of the Hadoop ecosystem that will be demonstrated, including HDFS, MapReduce, Hive, HBase, Flume, Kafka and Spark.

1. Demo Hadoop Admin &
Development
By Somappa Srinivasan

2. Agenda
What is Big Data and Hadoop? • Challenges of Big Data
• Technologies support Big Data • What is Hadoop? And Why Hadoop?
• Hadoop Eco System • Use Cases of Hadoop
• HDFS • Map Reduce
• Hadoop Cluster • Pig
• Hive • Hbase
• ZooKeeper • Flume
.Kafka Spark & Scala

3. What is Big Data and Hadoop?
Apache Hadoop is a software framework that supports data-intensive distributed
applications under a free license.
• It enables applications to work with thousands of nodes an petabytes of data.
• Hadoop was inspired by Google's MapReduce and Google File System (GFS)
papers

4. History of Hadoop

5. What is Big Data?
Big data is a term applied to data sets whose size is beyond the ability of
commonly used software tools to capture, manage, and process the data within a
tolerable elapsed time.

7. Before Hadoop