Hadoop Ecosystem Infographic

Hadoop is the most familiar Big Data framework, which can process huge volumes of data. Hadoop comes with many ecosystem tools to solve different Big Data problems. The ecosystem played as a key behind the popularity of Hadoop. With the ecosystem components, there are many solutions available for various problems, like unstructured data can be handled with MapReduce, structured data with Hive, machine learning algorithm with Mahout, text search with Lucene, data collection and aggregation using Flume, administration of cluster using Ambari and many more.



Apache Hadoop uses HDFS and MapReduce to handle a large amount of data, and Hive for querying that data. Like HDFS, MapReduce, and Hive, there are many other components you can exploit through this Hadoop Ecosystem infographic below.

Hadoop Ecosystem Infographic

Hadoop Architecture

I hope this Hadoop Ecosystem Infographic helped you to be familiar with Hadoop well.

Hadoop ecosystem is a platform, which can be a solution for diverse Big Data problems. It can store as well as process 1000s of Petabytes of data quite efficiently. Hadoop is the backbone of all the big data applications.

As debated above in the Hadoop ecosystem there are several components. Let’s start with HDFS – the world’s most popular data store, YARN – resource management layer, which manages/allocates/releases resources of the cluster, MapReduce – distributed computing model, which utilizes the power of distributed computing to process the data at a lightning-fast speed.

If we discuss a few important ecosystem components: Hive – Data warehouse on the top of Hadoop, which offers the simplicity of SQL with the power of Hadoop. Pig – top-level data processing engine, which permits users to run a script to process/parse data. HBase – a column-oriented NoSQL DB, which process the data with random read/write. Drill – Schema-free SQL Query Engine, which offers faster insights without the overhead of data loading, schema creation. Mahout – Scalable machine learning library on top of Hadoop, which offers ML algorithms on a huge scale. Flume – Data collection system, which provides real-time collection and aggregation of Big Data. Ambari – Installation and configuration tool, which can be used for deployment, management, maintenance & monitoring tool.