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Kafka , Spark , Scala and Hadoop Training

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Course offered by Ashish Jha

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I have experienced providing training on Hadoop, big data, spark , kafka .

Topics Covered

What is Big Data & Why Hadoop? Big Data Characteristics, Challenges with traditional system Hadoop Overview & it's Ecosystem Anatomy of Hadoop Cluster, Installing and Configuring Hadoop Hands-On Exercise HDFS Hadoop Distributed File System Name Nodes and Data Nodes Hands-On Exercise Map Reduce Anatomy How Map Reduce Works? The Mapper & Reducer, Input Formats & Output Formats, Data Type & Customer Writables Developing Map Reduce Programs

Who should attend

Freshers ,Architects and developers, who wish to write, build and maintain Apache Hadoop jobs

Pre-requisites

The participants should have basic understanding or knowledge of java and Linux.

What you need to bring

Laptop with min 4 GB and 64 bit configuration

Key Takeaways

Like mock interviews,Interview preparation and resume prepartion

About the Trainer

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Ashish Jha

B.E Computer Science

4 Years of Experience

Having 12 years extensive exp in executing development life cycle projects at involve Analysis, Design, Development and Implementation of web enabled Enterprise business solutions including 4+ years exp HADOOP, Big Data, Spark, Apache Zeppelin, Flink Apache Nifi, Stream sets, Gobblin, Docker.
Has good experience in Big data area like Elastic Search, Apache Drill,Hive -Tej, HDFS, Map Reduce, Hive, Pig, HBase, Flume and Sqoop,Spark, .
Has good knowledge on Reporting tool and Data integration tool (ETL) on Pentaho.
Good knowledge on java based technologies UI tool, DGLux, Chordiant Framework, Rest API,Web Service, J2EE, HTML, Databases like Oracle, PL-SQL and very good analytical and design skills well complimented by Strong Communication, interpersonal skills and Presentation skills.
Good knowledge in different Operating system in Windows, Sun Solaries,Cent OS, Linux (Ubuntu), Red Hat.
Highly self-motivated individual with excellent communication skills with proven ability to build long term relationships with customers by establishing a high level of confidence and trust.
Good communication skills, Dedication, Flexible to any technology and smart working.
Very good team player who enjoys working in competitive and challenging situations

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