Why Java Professionals Should Learn Hadoop

REASONS TO LEARN HADOOP • Hadoop is a Java based framework • Java Professional with Hadoop skills will get More Opportunities • Best career with Hadoop • Best Job Opportunities with Hadoop • Big Data and Hadoop Equal • High Salary With Hadoop than other Technologies • Top Companies Looking for Hadoop Professionals 

JOB ROLES WITH HADOOP • Hadoop Developer • Hadoop Architect • Hadoop Engineer • Hadoop Application Developer • Data Analyst • Data Scientist • Business Intelligence Architect • Big Data Engineer 

DOMAINS LOOKING FOR HADOOP DEVELOPERS: • Besides the obvious IT domain, there are various sectors that require Hadoop Developers. Let’s look at the huge variety of such sectors: • Travel • Retail • Finance • Healthcare • Advertising • Manufacturing • Telecommunications • Life Sciences • Media and Entertainment • Natural Resources • Trade and Transportation • Government • The possible sectors where Hadoop Developers play an important role are limitless. 

JOB RESPONSIBILITIES OF A HADOOP DEVELOPER: A Hadoop Developer has many responsibilities. And the job responsibilities are dependent on your domain/sector, where some of them would be applicable and some might not. The following are the tasks a Hadoop Developer is responsible for: • Hadoop development and implementation. • Loading from disparate data sets. • Pre-processing using Hive and Pig. • Designing, building, installing, configuring and supporting Hadoop. • Translate complex functional and technical requirements into detailed design. • Perform analysis of vast data stores and uncover insights. • Maintain security and data privacy. • Create scalable and high-performance web services for data tracking. • High-speed querying. • Managing and deploying HBase. • Being a part of a POC effort to help build new Hadoop clusters. • Test prototypes and oversee handover to operational teams. • Propose best practices/standards. 

SKILLS REQUIRED FOR HADOOP DEVELOPER • Java Knowledge Required Java basics is essential to learn Hadoop. • Linux Knowledge Required Hadoop runs on Linux, thus knowing some basic Linux commands will take you long way in pursuing successful career in Hadoop. • Good knowledge in back-end programming, specifically java, JS, Node.js and OOAD • Writing high-performance, reliable and maintainable code. • Ability to write MapReduce jobs. • Good knowledge of database structures, theories, principles, and practices. • Ability to write Pig Latin scripts. • Hands on experience in HiveQL. • Familiarity with data loading tools like Flume, Sqoop. • Knowledge of workflow/schedulers like Oozie. • Analytical and problem solving skills, applied to Big Data domain • Proven understanding with Hadoop, HBase, Hive, Pig, and HBase. • Good aptitude in multi-threading and concurrency concepts.