Why java professionals should learn hadoop. Reasons to learn hadoop,job roles with hadoop,domains looking for hadoop developer,job responsibilities of hadoop,skills requires for hadoop,hadoop trends,java trends

1. WHY JAVA PROFESSIONALS
SHOULD LEARN HADOOP

2. 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

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

4. 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.

5. 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.

6. 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.

7. HADOOP & JAVA JOB TRENDS

8. Learn HADOOP Online Training
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