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Projects in Hadoop and Big Data - Learn by Building Apps

BY
Udemy

Get a hands-on understanding of the big data and Hadoop strategies involved to create applications.

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Mode

Online

Fees

₹ 499 1799

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

The Projects in Hadoop and Big Data - Learn by Building Apps certification course was created by Eduonix Learning Solutions in collaboration with Eduonix Tech & Eduonix Support and is offered by Udemy, which is intended for students who want to use Hadoop and big data functionalities at work and who want to become proficient in the methods for implementing big data technologies.

Projects in Hadoop and Big Data - Learn by Building Apps online course is a short-term program that consists of 10 hours of lectures accompanied by an article and 19 downloadable resources with the goal of assisting the students in learning the techniques to develop Hadoop solutions that will address real-world issues. With the help of the Projects in Hadoop and Big Data - Learn by Building Apps online classes, students will learn about the theories and methods underlying big data analytics, application development, data science, real-time streaming, Hadoop analytics, data visualization, and much more.

The highlights

  • Certificate of completion
  • Self-paced course
  • 10 hours of pre-recorded video content
  • 1 article
  • 19 downloadable resources

Program offerings

  • Online course
  • Learning resources
  • 30-day money-back guarantee
  • Unlimited access
  • Accessible on mobile devices and tv

Course and certificate fees

Fees information
₹ 499  ₹1,799
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Knowledge of big data Knowledge of data visualization Data science knowledge Web application development skills Knowledge of apache spark Knowledge of kafka

After completing the Projects in Hadoop and Big Data - Learn by Building Apps online certification, students will acquire a solid understanding of the concepts involved with Hadoop and big data for building applications. In this Hadoop course, students will explore the architecture of the Hadoop ecosystem as well as will acquire knowledge of the functionalities of Hadoop analytics and big data analytics in fields like data science, data visualization, and e-commerce. In this big data certification, students will learn about fundamentals associated with tools like Kafka, Storm, ZooKeeper, Flume, Sqoop, YARN, Spark, HDFS, HCatalog, real-time streaming, and NoSQL.

The syllabus

Introduction

  • Introduction
  • Virtual Machines for the Projects

Add Value to Existing Data with Mapreduce

  • Introduction to the Project
  • Build and Run the Basic Code
  • Understanding the Code
  • Dependencies and packages

Hadoop Analytics and NoSQL

  • Introduction to Hadoop Analytics
  • Introduction to NoSQL Database
  • Solution Architecture
  • Installing the Solution

Kafka Streaming with Yarn and Zookeeper

  • Introduction to Kafka Yarn and Zookeeper
  • Code Structure
  • Creating Kafka Streams
  • Yarn Job with Samza

Real Time Stream processing with Apache Kafka and Apache Storm

  • Real Time Streaming
  • Hortonbox Virtual Machine
  • Running in Cluster Mode
  • Submitting the Storm Jar

Big Data Applications for the Healthcare Industry with Apache Sqoop and Apache S

  • Introduction to the Project
  • Introduction to HDDAccess
  • Sqoop, Hive and Solr
  • Hive Usage

Log collection and analytics with the Hadoop Distributed File System using Apach

  • Apache Flume and HCatalog
  • Install and Configure Apache Flume
  • Visualisation of the Data
  • Embedded Pig Scripts

Data Science with Hadoop Predictive Analytics

  • Introduction to Data Science
  • Source Code Review
  • Setting Up the Machine
  • Project Review

Visual Analytics with Apache Spark on Yarn

  • Project Setup
  • Setting Up Java Dependencies
  • Spark Analytics with PySpark
  • Bringing it all together

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

  • Ecommerce and Big Data
  • Installing Datameer
  • Analytics and Visualizations
  • Demonstration

Putting it all together Big Data with Amazon Elastic Map Reduce

  • Introduction to the Project
  • Configuration
  • Setting Up Cluster on EMR
  • Dedicated Task Cluster on EMR

Summary

  • Summary
  • Bonus Lecture: More Interesting Stuff, Offers and Discounts

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