Hadoop is a software framework that can process large amounts of data (or big data) by dividing it into smaller packets. These small data packets are subsequently processed in multiple computer clusters, and the programming languages used for the purpose are quite simple and based on Java. Hadoop is open-source and uses inexpensive servers, and hence is quite cost efficient. The Hadoop software library can detect the failures and can handle them and hence the framework is fault-resistant. The scalability of Hadoop administration derives from its feature of scaling up to thousands of machines from one single server. The Hadoop architecture is also entirely flexible as its individual components can be swapped and exchanged with the different kinds of software tools.
The 2 major components of the Hadoop architecture include:
The distributed file system (does the job of storing data)
The distributed file system or the Hadoop Distributed Filesystem (HDFS) is the component that stores the data that has to be analysed.
The data processing framework
The Java application framework is used when you work on the data. It is also known by the name MapReduce. This component actually processes the data.
Modules of Hadoop
The Hadoop architecture has modules including:
The framework does the works towards cluster resource management and job scheduling.
This module includes the basic Java utilities and modules. The Java files are essential to start the Hadoop framework for the processing of data and performing data analytics. It also includes the OS level abstraction files and the other file systems.
As explained earlier this component and module stores the data and enhances the ease of accessing data.
This module and component enable the processing of data at various and multiple computer clusters. With the help of this module, large amounts of data can be processed in a small interval of time.
The different Hadoop modules are based on the assumption that the various machines can suffer from the hardware failures and the analytics framework can be used to handle these problems automatically. HDFS and MapReduce are derived from GFS or Google File System and Google MapReduce.
Necessary skills for Hadoop certification
The Hadoop developers can be differentiated from the software developers in that they work on the big data. Hadoop professional needs to write the programs that match the system design. The professional should be aware of the programming and coding techniques. They should be able to design, create and architect, and also face the issues and problems when they arise. Some of the skills that are necessary towards working on Hadoop are:
Expertise in Hive and Pig Latin script
Knowledge in Oozie and other scheduling domains
Knowledge relating to Flume, Sqoop and other kinds of data loading tools
Well-versed with Hadoop and its components
Knowledge about JS, Java, OOAD and Node.js among other programming languages and tools
Problem identification and solving skills
Knowledge ion HBase
Well versed with concurrency and multithreading concepts
Career opportunities after Hadoop Certification
Big Data created more than 1.9 million new jobs in U.S. alone in the year 2015. The opportunities are expected to increase at a rate of more than 15%. The countries of the European Union, India, China and other developed and developing countries also require the data professionals and Hadoop certification holders in huge numbers. Here are the job opportunities that are related to big data analytics and the Hadoop certification.
Chief data officer
Big data scientists
Big data analysis
Big data engineer
Big data researcher
Hadoop analyst and Hadoop developer are some jobs that require
Hadoop certification course directly.
The industries and business segments where Hadoop certification holders are required include retail, travel, healthcare, finance, manufacturing, life sciences, telecommunications, manufacturing, advertising government, natural resources, media and entertainment and other business segments.
The Hadoop certification will easily fetch you a salary or approximately $80,000 or above. If you wish to leapfrog others and make your career more fruitful and stable, join the Hadoop certification course now. The online course can be studied at one’s own pace and is supported by case studies and assignments that help you gain the hands-down experience and expertise.