Bigdata and Hadoop [Scalebyte]
4.0 (26 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
2,370 students enrolled

Bigdata and Hadoop [Scalebyte]

Become Bigdata and Hadoop Certified
4.0 (26 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
2,370 students enrolled
Created by Veershetty Dagade
Last updated 5/2018
English
Current price: $13.99 Original price: $19.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 13.5 hours on-demand video
  • 14 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Students will be able to perform data analytics and create ETL jobs to process Big Data using Hadoop
Requirements
  • Knowledge of Big Data and database in general with and idea of data mining
Description

Become a Hadoop Expert by mastering MapReduce, Yarn, Pig, Hive, HBase, Oozie, Flume and Sqoop while working on industry based Use-cases and Projects. Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases.

Who this course is for:
  • It is suitable for a Beginner as well as Experienced person who knows basic programming and database concepts
Course content
Expand 19 lectures 13:24:24
+ Introduction
19 lectures 13:24:24

This lecture lets u know what big data is and how hadoop helps in dealing with big data

Preview 01:30:08

Detailed steps in Hadoop Installation / Mounting Hadoopo on CentOS-6.5/7

Preview 20:07
Working with HDFS
40:06

Intrinsic details of read and write operations on HDFS 

Preview 11:05

Detailed mapreduce functioning with word count program

Mapreduce Mechanism with Word count Example
52:48
Usecase on weather dataset
18:16
Introduction to PIG
01:14:54
Advanced PIG
54:35
Application of UDF in PIG-Latin
28:48
Embedded Pig in JAVA
11:32
Introduction to HIVE
01:43:30
Advanced HIVE
50:21
Thrift Server and Application
22:49
Introduction to HBASE
01:16:41
HBASE Practicals
40:58
HBASE API's
24:38
Introduction to Sqoop
24:04

Installing Hadoop Gen2

Hadoop Gen2
20:03

Detailed description of about how to build a cluster using hadoop

Hadoop Cluster
39:01