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Hadoop developer training
Hadoop developer training
Hadoop developer training
Hadoop developer training
Hadoop developer training
Hadoop developer training
Hadoop developer training
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Hadoop developer training

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or full course details please visit our website www.hadooponlinetraining.net …

or full course details please visit our website www.hadooponlinetraining.net

Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.

* Resume preparation and Interview assistance will be provided.
For any further details please

contact India +91-9052666559
Usa : +1-678-693-3475.

visit www.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com

Published in: Technology, Education
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  • 1. Hadoop Developer training Contact : Magnific training 9052666559 www.hadooponlinetraining.net
  • 2. • Outline • Introduction • The Motivation for Hadoop • Hadoop: Basic Concepts • Writing a MapReduce Program • Unit Testing MapReduce Programs • Delving Deeper into the Hadoop API • Practical Development Tips and Techniques • Data Input and Output • Common MapReduce Algorithms
  • 3. • Prerequisites • This course is appropriate for developers who will be writing, maintaining and/or optimizing Hadoop jobs. Participants should have programming experience; knowledge of Java is highly recommended. Understanding of common computer science concepts is a plus. Prior knowledge of Hadoop is not required.
  • 4. • Apache Hadoop Training and Certification • Welcome to Magnific training,the leader in Apache Hadoop training and certification.
  • 5. • We offer public, private, and virtual classroom training and free online resources to ensure data professionals have access to the most comprehensive selection of Hadoop learning materials. Our training is based on CDH, Magnific's 100% open-source distribution
  • 6. • This four-day course is for developers who want to use Apache Hadoop to build powerful data processing applications. Learn the basics of HDFS, how to write programs against the MapReduce API, and design techniques for larger workflows.
  • 7. • Dive into advanced skills for debugging and optimizing MapReduce programs and learn about the Apache ecosystem projects Hive, Pig, HBase, Flume, and Oozie.

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