Ultimate list of frameworks that every Hadoop Developer need…

It’s a little overwhelming fact that companies around the world adapting to Hadoop technology to leverage the benefits of using Big Data. This shows the significance and demand for Hadoop that grows every other day. Hadoop developers around the world are already earning around $120,000 as their salary. Impressive, isn’t it? The strong Hadoop ecosystem is comprised of several frameworks and it often leaves the beginners to the technology with confusion. Here, in this blog, let us examine a list of frameworks that every Hadoop developer will need.

Apache Hadoop

This is the core framework that is comprised of software library that enables the processing of huge clusters of data in a distributed environment. The library is made of Java programming language and it allows the Hadoop developers to install the clusters of computers to store and process Big Data. This cluster network may vary from single system of thousands of computer nodes.

Apache Hive

This framework is built on Hadoop and is known for its data warehousing capabilities. Various data warehousing tasks such as data structuring and querying are carried out with the help of this framework. With the help of Hive and HiveQL, the Hadoop developers can create complex MapReduce programs using the structured data stored in the distributed file system.       

Apache Pig

While the Apache Hive excels in handling structured data, Apache Pig takes care of semi-structured data and unstructured data. Like Hive, Pig has an exclusive query language called Pig Latin.

Apache Flume

Hadoop ecosystem demands the developers to migrate through huge clusters of data. In order to ease the collect, move and aggregate log data of those huge clusters, Apache Flume is used. The framework is written in Java programming language and capable of delivering the files directly into the Hadoop Distributed File System (HDFS).

Apache Drill

Apache Drill framework helps the Hadoop developers to explore data in Hadoop distributed file system using SQL query engine that is schema-free. It follows the standards of Structured Query Language (SQL) which lets the developers to use their SQL knowledge to explore data using SQL queries.

Apache HBase

Naturally, the Hadoop ecosystem runs data processes in batch and restricts any modification to happen in the real-time. But, most of the Hadoop developers might need to modify the data in real-time while developing applications. Here comes the revolutionary framework Apache HBase. With the help of this framework, the developer can have read/write access to the data in the real-time.

Other Important Frameworks

Other important frameworks that every Hadoop developers need includes Apache Kafka, Apache Tex, Apache Sqoop, Apache Storm, Apache Ambari, Apache Mahout, Apache Zookeeper and Apache Spark.

Hadoop ecosystem is one of the trending open-source eco-systems in the world and Hadoop developers are among the most-paid professionals in the job-market. If you want to build a career in Hadoop, your opportunities are here…