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Hadoop Admin Online Training

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Course type: Online Instructor led Course

Platform: Webinar

Course ID: 29604

Course type: Online Instructor led Course

Platform: Webinar

Students Interested 0 (Seats Left 0)

₹ 15,000

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About Prinshu Verma

Work Experience:
Software professional, worked on enterprise, web, JAVA, J2EE,mobile applications.. Now focusing on Hadoop, BigData.5+ Year Experience in Corporate Training.
Freelance Consulting on BIGDATA & HADOOP DEVELOPER / ADMIN, Spark.

Given talks at various meetup.Very proactive in learning and leveraging emerging technologies. Mentored engineers; believe in leading by doing.
Hadoop / BigData / Spark & Scala:
Consulting on Hadoop ecosystem : Hadoop, MapReduce, Pig,Hive, Sqoop, Flume, Spark & Scala
Managed Hadoop clusters : setup, install, monitor, maintain; Distributions : Cloudera CDH
Hadoop tutorials &howtos :
Teach Hadoop courses for individuals and corporate groups .

Responsibilities :
Written MapReduce code to process all the sequence files to extract the useful
Information from log files (like Host name, platform, operating system etc.).
Writing serdes and used complex data type in Hive.
Extensively involved in query optimization in Hive query language.
Extensively used pig script, complex type, grouping, flattening etc.
Maintained Hadoop clusters for dev/production.

Created the customized Map Reduce Input/output formatted and used extensively.
Highly involved in designed the next generation data architecture for the unstructured data.
Performance tuning of Hadoop clusters routines against very large data sets.
Assisted with the addition of Hadoop processing to the IT infrastructure.
Depending on this information the HBase rules will be applied on the log files, to get the required information in a structural manner (MapReduce output) used hive for storing the MapReduce output into tables.
Used Sqoop and Flume for importing the data into the HDFS.
Reviewed the HDFS usage and system design for future scalability.
Developed applications on MapReduce programming Model of Hadoop in java.
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About the Course

Hadoop Online Course offers comprehensive course on an array of Hadoop technologies for administrators, data analysts and developers. The Hadoop Online Course is designed in such a format that meets your availability, convenience and flexibility needs, these online courses will lead you in the direction to become a certified Hadoop professional.


The online Hadoop training course by Prwatech imparts knowledge about the fundamental principles of Hadoop and gets the participants acquainted with the benefits of Big Data. The Hadoop online Course provides in-depth knowledge about Hadoop MapReduce, Hadoop Distributed File System (HDFS), Hadoop Cluster and implementation of a Hadoop Project.


At the completion of this course, the participants become proficient in performing data analytics with Pig & Hive, writing complex MapReduce Programs and in processing Big Data sets efficiently.


Who should enroll for Hadoop Online Course:



  • Data Integration Architects

  • Data Architects

  • Data Analysts

  • Data Scientists

  • Decision Makers

  • Hadoop Developers and Administrators


What is this course about?


The Hadoop online course by PrwaTech is designed to make sure that you are fully equipped to take up any assignments in Hadoop. This training not only prepares you with necessary Hadoop skills, but also gives you the required work experience in Big Data Hadoop by the use of real-life industry project implementation.


Key Features:



  • 36 hours of Training by experts

  • 24 hours of first-rate E-Learning

  • More than 60 hours of industry projects

  • Hands-on execution with CloudLab

  • Availability of on demand support

  • Experience certificate in Hadoop 2.7


Hadoop online course objectives:



  • Mastering the concept of Hadoop framework and deployment in cluster environment.

  • Become skilled at writing complex programs in MapReduce.

  • Execute Data Analytics using Pig & Hive.

  • Acquire comprehensive understanding of Hadoop Ecosystem like Apache Oozie workflow scheduler, Flume etc.

  • Mastering concepts of Hadoop: Zookeeper, Hbase and Sqoop.

  • Hands-on experience in configuring different set-ups of Hadoop cluster.

  • Hands-on experience in industry based projects using Hadoop.

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