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What are the job and responsibilities of Hadoop Professional? Please explain in details.

A Hadoop Professional is responsible for the design, development, deployment, and maintenance of large-scale big data systems using the Hadoop framework. Some of their key responsibilities include:

• Design and implement big data solutions using the Hadoop framework and its related technologies such as MapReduce, Pig, Hive, and Spark.
  
• Load, process, and analyze large volumes of data using Hadoop tools and techniques.
  
• Develop and maintain custom MapReduce programs to perform specific data processing tasks.
  
• Work with data scientists and data analysts to identify business requirements and design appropriate data solutions.
  
• Collaborate with other teams to integrate Hadoop solutions with other systems and platforms.
  
• Ensure the stability and performance of Hadoop systems through ongoing maintenance and optimization.
  
• Provide technical guidance and mentorship to junior Hadoop developers.
  
• Participate in code reviews, architecture design, and testing activities.
  
• Stay up-to-date with emerging trends and technologies in the big data and Hadoop space.

~Regards
Naubahar Shah
BBA, MCom, NET Qualified

The job and responsibilities of Hadoop Professional is:-

*Creating Data Processing Frameworks

*Meeting with the development team to assess the company's big data infrastructure

*Testing Scripts

*Analysing Results.

The job and responsibilities of Hadoop Professional is given below:-
:-Extracting data and isolating data clusters.
:Maintaining the security of company data.
:-Creating data tracking programs.
:-Producing Hadoop development documentation.
:-Training staff on application use.
:-Testing scripts and analyzing results.
:-Troubleshooting application bugs.

A Hadoop professional plays a key role in designing, building, and maintaining large-scale data processing systems and ensuring that data is stored, processed, and analyzed in a secure, efficient, and effective manner.

• Designing and implementing large-scale data processing systems using Hadoop and its related technologies.
• Setting up and maintaining Hadoop clusters, including configuring hardware, installing and configuring software, and monitoring performance.
• Working with big data tools such as HDFS, MapReduce, Hive, Pig, Spark, and others to process and analyze data.
• Collaborating with data scientists and business analysts to understand the data and reporting requirements.
• Designing and implementing data ingestion, storage, and retrieval solutions using Hadoop, NoSQL databases, and other big data technologies.
• Ensuring data quality, security, and governance by defining and enforcing data standards, policies, and procedures.
• Providing technical leadership and mentorship to junior team members.
• Staying current with new developments in the Hadoop ecosystem and recommending upgrades and improvements to existing systems.
• Troubleshooting and resolving technical issues related to Hadoop systems and applications.
• Collaborating with other IT teams to integrate Hadoop systems with existing data and applications.