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Hadoop Spark Hive Big Data Admin Class Bootcamp Course NYC

  • Learn installations and architecture of Hadoop, Hive, Spark, and other tools. Handle structured & Unstructured Data
  • Free tutorial
  • Rating: 4.2 out of 54.2 (196 ratings)
  • 11,480 students
  • 1hr 26min of on-demand video
  • Created by Shivgan Joshi
  • English

What you’ll learn

  • Kick start with basics for career in Big Data Hadoop in NY Area 312 285 6886
  • Learn how to install different tools on Hadoop
  • Learn enough Hadoop to join our NYC Bootcamp on Hadoop Big Data


  • Basic knowledge of Programming and SQL would help
  • Basic idea of Python SQL Data Analytics would help


Introduction Hadoop Big Data Course

  • Introduction to the Course

Top Ubuntu commands

Understand NameNode, DataNode, YARN and Hadoop Infrastructure

Hadoop Install

  • Hadoop Installation & HDFS Commands
  • Java based Mapreduce

# Hadoop 2.7  / 2.8.4

Learn HDFS commands

Setting up Java for mapreduce

Intro to Cloudera Hadoop & studying Cloudera Certification


  • SQL, Hive and Pig Installation (RDBMS world and NoSQL world)
  • More Hive and SQOOP (Cloudera – Sqoop and Hive on Cloudera.
  • JDBC drivers.   
  • Pig
  • Intro to NoSQL, MongoDB, Hbase Installation

Understanding different databases 

Hive : 

  1. Hive Partitions and Bucketing
  2. Hive External and Internal Tables

Spark Scala Python

  • Spark Installations and Commands
  • Spark Scala Scala Sheets
  • Hadoop Streaming Python Map Reduce
  • PySpark – (Python – Basics). RDDs.
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Running Spark-shell and importing data from csv files

PySpark – Running RDD

  Mid Term Projects

  1. Pull data from csv online and move to Hive using hive import
  2. Pull data from spark-shell and run map reduce for fox news first page
  3. Create Data in MySQL and using SQOOP move it to HDFS
  4. Using Jupyter Anaconda and Spark Context run count on file that has Fox news first page
  5. Save raw data using delimiter comma, space, tab and pipe and move that into spark-context and spark shell

  Broadcasting Data – stream of data 

Kafka Message Broadcasting

Who this course is for:

  • Carrier changes who would like to move to Big Data Hadoop
  • Learners who want to learn Hadoop installations
  • New York Students who want to move to wall street

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Course content

5 sections • 34 lectures • 1h 26m total lengthCollapse all sections

Introduction5 lectures • 26min

  • Introduction to the Course00:11
  • Course Syllabus, Scope, Intro Video10:33
  • Intro to HDFS & Hadoop Architecture08:29
  • Intro to Mapreduce – Pulling data from HDFS03:33
  • Map reduce03:40

Hadoop Install8 lectures • 24min

  • Hadoop Installation & HDFS Commands00:03
  • Hadoop Install08:54
  • Java based Mapreduce – 2 examples00:01
  • Multi node installation00:01
  • Java based Map Reduce05:41
  • Multi node install06:12
  • Commissioning and Decommissioning of Datanode02:01
  • Multinode Debugging01:10

SQL and NoSQL – Structured, Semi Structured and Unstructured Data9 lectures • 18min

  • SQL, Hive and Pig Installation (RDBMS)00:07
  • Install SQL Hive03:26
  • More Hive & Scoop00:01
  • Hive Practice03:26
  • Sqoop Install and Commands03:40
  • Intro to NoSQL, MongoDB, Hbase00:01
  • Mongodb install01:55
  • Hbase installation02:46
  • Pig Installation and Intro02:32

Spark Scala Python10 lectures • 16min

  • Spark Scala Install01:22
  • Scala Practice02:08
  • Spark Scala Scala Sheets00:01
  • Hadoop Streaming Python Map Reduce00:06
  • PySpark00:01
  • Pyspark04:39
  • Kafka Installation02:08
  • Kafka Message Broadcasting / Fume00:01
  • Spark Practice02:25
  • Hadoop Streaming – Python mapreduce02:58
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Conclusion2 lectures • 2min

  • Conclusion00:04
  • Final Words and Projects01:59

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