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Hadoop Online Training and Certification


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MindsMapped offers instructor-led online Hadoop training to IT and NON-IT professionals. MindsMapped’s online training covers most of the key topics of Big Data and Hadoop including Introduction to Big Data and Hadoop, Hadoop cluster, MapReduce, Pig, Hive, HBase, ZooKeeper, Oozie, Sqoop, and Yarn. Within this online training, stress is given more on job-based works. Hence, this training helps you to get job ready.

Benefits of Online Big Data Hadoop Training:

·   MindsMapped’s instructor-led online training assists college graduates and IT professionals to easily understand topics of Big Data and Hadoop.

·   Trainers will be sharing their years of experience with you.

·   Here you will get access to knowledge base study material that can help you in getting Hadoop professional certifications including Cloudera, Hortonworks, and MapR.

·   Along with online classes, you get a chance to work on real-time project along with our instructors.

·   Instructors conduct classes in easy to understand manner.

·   Mock Hadoop interviews are conducted to prepare you for interviews.

·   You will also get assistance in preparing the resume which will get you hired by top employers. 

·   Trainees are provided high-level tasks for better understanding about the topics

·   After completion of this training program you can easily pass any job interviews or certification exam

After completion of Big Data and Hadoop tutorial classes, you can easily crack any job interview. For detailed knowledge about MindsMapped Online Hadoop training, mail at [email protected] or calls us at +1 (435) 610-1777 / (385) 237-9777. You can click on this link to know more about our training program: https://mindsmapped.com/big-data-hadoop-training.html

Hadoop Certification  preparation: --

https://mindsmapped.com/certification/big-data-hadoop-certifications/

Hadoop Interview Question and Answers:--

https://mindsmapped.com/interview-questions-and-answers/big-data-hadoop-interview-questions-and-answers.html

 

 

 

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