Big Data Training - Learn MapReduce, Sqoop, PIG, Hive,Hbase‎,Spark

Big Data Analyst / Intro to Data Science

About this Course: Big Data Analyst Training in Hadoop course is for beginner programmers and business people who would like …

53 STUDENTS ENROLLED
    Upcoming Batches :
    TICKET TYPE START DATE PRICE
    General Jan-14-2018 $999.00




    About this Course:

    Big Data Analyst Training in Hadoop course is for beginner programmers and business people who would like to understand and learn more advanced tools that wrestle and helps to study big data carefully.

    Why should I go for Big Data Analyst Training?

    Data scientists and analysts, who with their abilities do things very well, are required to study big data thoroughly and carefully. Engineers and developers who know their way around with Hadoop groups and other related technologies are hard to come by. This shortage of Big Data Analysts has necessitated the demand for more Big Data Analysts. Hence, one should grab this opportunity to make it big in their career life and become a Big Data Analyst.

    Why is Big Data Analytics on Hadoop is important?

    The huge amounts or huge quantity of Big Data Analytics Training and its format without its rules, schedules, etc., make it very hard to carefully study Big Data.

    Job Opportunities for the Big Data Analytics

    Knowledge about Big Data Analytics (information-giving numbers) on Hadoop will also prove to be a huge resume builder for students who are aiming to work in IT Industry.

    Eligibility for Big Data Analyst

    Data analysts / Data scientists who want to know and learn how to use their abilities to do things very well on Big Data.

    Course Curriculum: 

    Schedule: 5 Weeks Program 

    Every Sunday: 10:00 AM – 4:00 PM PST

    Module 1Big Data Overview

    • Lab 1 Cloudera Install
    • Cloudera VM Walkthrough

    Module 2 – Basic of Unix & Java

    • Lab 2a Basic Unix Command
    • Lab 2b Basic Java for Hadoop

    Module 3 – HDFS and MapReduce Basic

    • Lab 3 – Interacting with HDFS & MapReduce

    Module 4 – Hive

    • Lab 5a Practice HiveQL
    • Lab 5b Working with Hive

    Module 6 – Tableau

    • Lab 6 Practice Tableau

    Module 7 – R Programming

    • Lab 7 – R Programming

    Module 8 – Hbase Basic

    • Lab 8 – Hbase Lab

    Module 9 – Apache Spark SQL

    • Lab 9– Spark Lab

    Module 10 – Best PracticesModule 11 – ProjectModule 12 – Interview Prep

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