Apache Pig: Sentiment analysis Using Apache Pig
5.0 (2 ratings)
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Apache Pig: Sentiment analysis Using Apache Pig

A Comprehensive Apache Pig Course, with HDFS, MapReduce Concepts and Flume
5.0 (2 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
17 students enrolled
Created by Gaurav Vyas
Last updated 3/2017
English
Current price: $10 Original price: $55 Discount: 82% off
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Includes:
  • 2 hours on-demand video
  • 2 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Its a Comprehensive course on Apache Pig, which also covers HDFS and MapReduce Concepts and design and Introduction to apache Flume, a data Ingestion tool
  • have a good grasp over the concept of Hadoop and its components
  • have a good grasp over the concept and design of HDFS and MapReduce
  • Will be abale to make a data ingestion pipeline from a social network website to HDFS
  • Learn Apache Pig, what It is, where it should be used and where it should not be used
  • perform Big Data analysis using apache Pig
  • Learn Pig's Data flow language, Pig Latin
  • have a sound knowledge of User Defined functions in Pig
  • Write and use their own UDFs
View Curriculum
Requirements
  • Course does not have any previous requirnment as I will be teaching Hadoop, HDFS, Mapreduce and Pig Concepts and Pig Latin, which is a Data flow language
Description

A course about Apache Pig, a Data analysis tool in Hadoop. we will start with concept of Hadoop , its components, HDFS and MapReduce. HDFS design and Map and Reduce Phase of analysis.

then we will Look into apache Pig, what it is where we can use apache Pig and where we can not use it. we will look at teh basics of Pig and gradually proceed to more advance topics. we will also look in to apache flume , a tool to collect Log data and injest them into HDFS or any other sink. we will see its configurations in detail and will write our own configuration file to fetch data from twitter to HDFS.

we will also be seeing pig UDFs and will Use them for our project.

finally we will be analyzing tweets for the sentiments using apache PIg

Who is the target audience?
  • Software Engineers
  • IT Professionals
  • Big Data Enthusiasts
  • Data Analysts
  • Students
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Curriculum For This Course
23 Lectures
02:08:10
+
WElcome to the Course
1 Lecture 01:57
+
BigData & Hadoop
8 Lectures 39:28
Concept of Hadoop -1
08:06

Concept of Hadoop-2
07:22

Concept of Hadoop-3
05:12


Where HDFS is not Usefull
01:32


MapReduce: Concept of Map
05:01

MapReduce: Concept of Reduce
03:55
+
Meet The Pig
5 Lectures 13:03
Meet The Pig
02:43

Modes to Run Pig
01:58

Pig: Interactive Mode
02:26

Pig: Bacth Mode
01:15

Pig: Data Model
04:41
+
Play with Pig
4 Lectures 20:43
Play with Pig: Load and Store
12:30

Filtering
02:16

Play with Pig: Sorting
02:25

Join and Group
03:32
+
Data Ingestion Pipeline: Twitter to HDFS Using Flume
3 Lectures 34:18
What is Flume
09:05

Flume Configuration
09:24

Run Flume
15:49
+
Pig Project : Twitter Sentiment Analysis Using Pig
2 Lectures 18:41
UDFs
06:11

Twitter Sentiment Analysis
12:30
About the Instructor
Gaurav Vyas
4.5 Average rating
12 Reviews
549 Students
2 Courses
Hadoop Developer

Gaurav Vyas has more than 10 Years of experience.

He is working in technologies like Hadoop and its ecosystem  MapReduce, Apache Pig, Hive, Impala, Zookeeper, Spark with both Scala and python apis. He also has a very good experience working in NoSqls HBASE and MongoDB.

He has also used Functional programming languages like R and Scala for various projects.