Learn Hadoop And Big Data With Ease By Building Projects

The most awaited Big Data course of the year is here!

Learn Hadoop and Big Data by Building Projects

Why choose this course?

• You’ll understand the Hadoop ecosystem and associated technologies
• You’ll learn to build Hadoop solutions that will solve real world problems
• You’ll learn the updated changes in Hadoop
• You’ll be able to build a cutting-edge know-how in technology space because your knowledge and abilities will be tested throughout the course

Here is the introduction to the eCourse from Eduonix

This eCourse focuses on the following topics-

Add Value to Existing Data:

Learn how to use MapReduce to process large amounts of data and solve clustering problems.

Hadoop Analytics and NoSQL –

Parse a twitter stream with Python, extract keyword with apache pig and map to hdfs, pull from hdfs and push to mongodb with pig, visualise data with node js. Learn all of this and much more in this cool tutorial.

Kafka Streaming with Yarn and Zookeeper –

Set up a twitter stream with Python and a Kafka stream with java coding. Learn how to pack and deploy java code with Apache Samza.

Real-Time Stream Processing with Apache Kafka and Apache Storm –

Learn how to effectively use Apache Storm to focus on real-time streaming on twitter.

Big Data Applications for the Healthcare Industry with Apache Sqoop and Apache Solr –

Set up the relational schema for a Health Care Data dictionary used by the US Dept of Veterans Affairs, demonstrate underlying technology and conceptual framework.

Log collection and analytics with the Hadoop Distributed File System using Apache Flume and Apache HCatalog –

Use Apache Flume and Apache HCatalog to map real-time log stream to hdfs and tail this file as Flume event stream. Map data from hdfs to Python with Pig, use Python modules for analytic queries

Data Science with Hadoop Predictive Analytics – Create structured data with

Create structured data with Mapreduce, Map data from hdfs to Python with Pig, run Python Machine Learning logistic regression, use Python modules for regression matrices and supervise training.

Visual Analytics with Apache Spark on Yarn –

Create structured data with Mapreduce, Map data from hdfs to Python with Spark, convert Spark data frames and RDD’s to Python datastructures, Perform Python visualizations

Customer 360-degree view, Big Data Analytics for e-commerce – Demonstrate

Demonstrate use of EComerce tool ‘Datameer’ to perform many fo the analytic queries from part 6, 7 and 8. Perform queries in the context of Senitment analysis and Twiteer stream.

Putting it all together Big Data with Amazon Elastic Map Reduce –

Rub clustering code on AWS Mapreduce cluster. Using AWS Java sdk spin up a dedicated task cluster with the same attributes.

Course Curriculum –

• SECTION 1 : Introduction
• SECTION 2 : Add Value to Existing Data with Mapreduce
• SECTION 3 : Hadoop Analytics and NoSQL
• SECTION 4 : Kafka Streaming with Yarn and Zookeeper
• SECTION 5 : Real Time Stream processing with Apache Kafka and Apache Storm
• SECTION 6 : Big Data Applications for the Healthcare Industry with Apache Sqoop and Apache S
• SECTION 7 : Log collection and analytics with the Hadoop Distributed File System using Apach
• SECTION 8 : Data Science with Hadoop Predictive Analytics
• SECTION 9 : Visual Analytics with Apache Spark on Yarn
• SECTION 10 : Customer 360-degree view, Big Data Analytics for e-commerce
• SECTION 11 : Putting it all together Big Data with Amazon Elastic Map Reduce
• SECTION 12 : Summary

Prerequisites of this eCourse-

• Working knowledge of Hadoop is expected before starting this course
• Basic programming knowledge of Java and Python will be great

Deal Terms –

• You will get a special 100% off course access link which you need to redeem on Eduonix website.
• You get lifetime access once purchased.
• Total lectures included are 42 and video duration is 10 hours.

Grab this and learn Hadoop the practical way for just $15 (DealClub $11.25)

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