Hadoop Framework and Ecosystem

Hadoop Framework and Ecosystem

In the previous blog on Hadoop Tutorial, we discussed about Hadoop, its features and core components. Now, the next step forward is to understand Hadoop Ecosystem. It is an essential topic to understand before you start working with Hadoop.

Hadoop Ecosystem is neither a programming language nor a service, it is a platform or framework which solves big data problems. You can consider it as a suite which encompasses a number of services (ingesting, storing, analyzing and maintaining) inside it. Let us discuss and get a brief idea about how the services work individually and in collaboration.

Below are the Hadoop components, that together form a Hadoop ecosystem, I will be covering each of them in this blog:

HDFS -> Hadoop Distributed File System
YARN -> Yet Another Resource Negotiator
MapReduce -> Data processing using programming
Spark -> In-memory Data Processing
PIG, HIVE-> Data Processing Services using Query (SQL-like)
HBase -> NoSQL Database
Mahout, Spark MLlib -> Machine Learning
Apache Drill -> SQL on Hadoop
Zookeeper -> Managing Cluster
Oozie -> Job Scheduling
Flume, Sqoop -> Data Ingesting Services
Solr & Lucene -> Searching & Indexing
Ambari -> Provision, Monitor and Maintain cluster

I hope this blog is informative and added value to you. If you are interested to learn more, you can go through this blog which tells you how Big Data is used in Industries and How Hadoop Is Revolutionizing Analytics.

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