x
Menu

Big Data and Hadoop

Other,

Updated On 02 Feb, 19

Overview

Introduction to Big Data & Hadoop - Big Data Learning Paths - Hadoop Tutorial for Beginners - Hadoop MapReduce Tutorial - Big Data - Hadoop - Introduction to MapReduce - MapReduce Programming Tutorial - Fundamentals of Hadoop MapReduce - Understanding Hadoop MapReduce - Hadoop Tutorial - What is Big Data - Big Data Explained - Hadoop & MapReduce - MapReduce Tutorial - Hadoop distributed cache - Advanced mapreduce - What is Big Data? - Why Learn Hadoop ? - Hadoop 2.0 Features - What is Hadoop - Hadoop Tutorial for Beginners - Hadoop Tutorial - What is Hadoop - Hadoop Basics - Hadoop for Beginners - Hadoop for Data Warehousing Professional - De-Identify Mapreduce Code - Mapreduce Tutorial - What is Hive - Why Hive - Apache Hive Tutorial - Understanding Concepts of Advanced Hive - Hive Scripting - Apache Hive Tutorial - Introduction to Apache Hive - Understanding Hive Commands in Apache Hadoop - Hive Data Model - Introduction to Sqoop - Demo on Hadoop Flume - Intro To Hadoop Developer Training - Cloudera - Introduction to Hadoop Zookeeper - Introduction to HBase - Intro To Hadoop Developer Training - Hadoop installation on ubuntu - TDD Using Pig Unit - Demo - Hadoop Pig Tutorial - What is Pig Unit & Why Unit Test Pig - Hadoop Pig Tutorial - What is Big data - Why learn Hadoop - Big data and Hadoop Tutorial - Learn Hadoop - What is HBase - Why Hbase - Hbase Tutorial - What is Oozie in Hadoop - Introduction to Advanced MapReduce - Advanced MapReduce Programming Tutorial - Hadoop Distributed Cache - Advanced Mapreduce Tutorial - Combiner & Partitioner in Hadoop - Hadoop Mapreduce Tutorial - Learn Hadoop - Debugging using MRUnit Testig Framework - Hadoop Tutorial for Beginners - Joins in Hadoop Mapreduce - Mapside Joins - Reduce Side Joins - Hadoop Mapreduce - Tutorial - Setup Pig on cloudera - Pig Installation Tutorial - What is Pig and Why Pig | Pig Explained - Hadoop Pig Tutorial - Demonstrating Word Count Example Using Pig Grunt Shell - Hadoop Pig Tutorial - Hbase Architecture - Pig vs Hive ? - Hadoop Vs Traditional Database Systems - Hadoop Data Warehouse - Hadoop and ETL - Hadoop Data Mining - Big Data Tutorial - Hadoop Training - Big Data Training - What is Hadoop? - Hadoop 1.x Arch Challenges - Hadoop 2.0 Architecture - YARN - Hadoop Jobs - Introduction to Hadoop Ecosystem - Introduction to Hdfs - Demo on big data applications - Demo on Hadoop Technology

Includes

Lecture 44: Hadoop Tutorial|Hadoop Tutorial for Beginners|Big Data Tutorial|Hadoop Training|Big Data Training

4.1 ( 11 )


Lecture Details

httpwww.edureka.cohadoop Email us hadoopsales@edureka.co, phone +91-8880862004

This video describes the Big Data and Hadoop Course from edureka

Here is How it Works
• There are 3 hour sessions on every module.
In addition to the classes you need to work on the hands on exercises, practical assignments and quizzes during the week
◦ We will be helping you setup a virtual machine on your system to do the practicals� if you have a 4GB RAM.
◦ If you dont have 4GB RAM we will provide you remote access to our cluster. The access will be available even after the course as long as you use it for personal use.
◦ Throughout the week, we have a 24x7 support team which can help you with any queries, questions or issues which doing the practicals
◦ The Hands-on exercises typically require 3-4 hours effort every week
• Towards the end of the 8 week schedule you will be working on a live project which will be a large dataset and you will be using , PIG, HIVE, HBase and MapReduce to do analytics.
• You will also get to know how is the actual project and test env is setup in hadoop. By the end of the course, you should be able to become an advanced user of Hadoop and will able to demonstrate practical skill in Hadoop.
• Here are some of the projects
◦ Stack Exchange Ranking and Percentile data-ser � � It is dataset from stackOver flow, in which there ranking and percentile details of Users
◦ Loan Dataset � It deals with the users who has taken along with their Emi details, time period etc
◦ Data -sets by Government� like Worker Populatio Ratio (per 1000) for persons of age (15-59) years according to the current weekly status approach for each stateUT
◦ Machine Learning Dataset like Badges datasets� The dataset is for system toencode names , for ed +- label followed by a persons name
◦ NYC Data Set� New York Stock Exchange data � is used to do trend analysis, SMA and EMA to determine buy and sell decisions on selected stocks.
◦ Twitter Data Analysis � Download twitter data and the put it in HBase and use Pig, Hive and MapReduce to garner the popularity of some hashtags
◦ Weather Dataset � it has all the details of weather over a period of time using which you may find out the hottest or coldest or average temperature
◦ Health Care Domain � De-indentifcation of patient information on data collated from multiple sources.�
• In addition you can choose your own dataset and create a project around that as well.
• Based on your performance in the project and an practical exam which is help at the end of the course( this is not just a multiple choice exam), our instructor panel will be awarding a grade and certificate.
• All the classes are recorded and the course material including class recordings, sample code, presentation slides and assignment and project documents are available in dowloadable format in our Learning Management System(LMS). You get Lifetime access to the LMS and our support team
• In case you end up missing a class, you can even take the same class in a different batch without any extra charges.

Please write back to us at support@edureka.co or call us at +91-8880862004 for more information.
httpwww.edureka.co
Visit - httpwww.edureka.coHadoop

Ratings

4.0


1 Ratings
55%
30%
10%
3%
2%
Comments
comment person image

Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

Reply
comment person image

Dembe

Great course. Thank you very much.

Reply
Send