Hadoop Starter Kit

Hadoop Starter Kit, available at Free, has an average rating of 4.65, with 17 lectures, 4 quizzes, based on 16383 reviews, and has 182170 subscribers.

You will learn about Understand the Big Data problem in terms of storage and computation Understand how Hadoop approach Big Data problem and provide a solution to the problem Understand the need for another file system like HDFS Work with HDFS Understand the architecture of HDFS Understand the MapReduce programming model Understand the phases in MapReduce Envision a problem in MapReduce Write a MapReduce program with complete understanding of program constructs Write Pig Latin instructions Create and query Hive tables This course is ideal for individuals who are This course is for anyone who wants to learn about Big Data technologies. or No advanced programming knowledge is needed or This course is for anyone who wants to learn about distributed computing and Hadoop It is particularly useful for This course is for anyone who wants to learn about Big Data technologies. or No advanced programming knowledge is needed or This course is for anyone who wants to learn about distributed computing and Hadoop.

Enroll now: Hadoop Starter Kit

Summary

Title: Hadoop Starter Kit

Price: Free

Average Rating: 4.65

Number of Lectures: 17

Number of Quizzes: 4

Number of Published Lectures: 15

Number of Published Quizzes: 4

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 19

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Understand the Big Data problem in terms of storage and computation

Understand how Hadoop approach Big Data problem and provide a solution to the problem

Understand the need for another file system like HDFS

Work with HDFS

Understand the architecture of HDFS

Understand the MapReduce programming model

Understand the phases in MapReduce

Envision a problem in MapReduce

Write a MapReduce program with complete understanding of program constructs

Write Pig Latin instructions

Create and query Hive tables

Who Should Attend

This course is for anyone who wants to learn about Big Data technologies.

No advanced programming knowledge is needed

This course is for anyone who wants to learn about distributed computing and Hadoop

Target Audiences

This course is for anyone who wants to learn about Big Data technologies.

No advanced programming knowledge is needed

This course is for anyone who wants to learn about distributed computing and Hadoop

The objective of this course is to walk you through step by step of all the core components in Hadoop but more importantly make Hadoop learning experience easy and fun.

By enrolling in this course you can also get free access to our multi-node Hadoop training cluster so you can try out what you learn right away in a real multi-node distributed environment.

ABOUT INSTRUCTOR(S)

We are a group of Hadoop consultants who are passionate about Hadoop and Big Data technologies. 4 years ago when we were looking for Big Data consultants to work in our own projects we did not find qualified candidates because the big data industry was very new and hence we set out to train qualified candidates in Big Data ourselves giving them a deep and real world insights in to Hadoop.

WHAT YOU WILL LEARN IN THIS COURSE

In the first section you will learn about what is big data with examples. We will discuss the factors to consider when considering whether a problem is big data problem or not. We will talk about the challenges with existing technologies when it comes to big data computation. We will breakdown the Big Data problem in terms of storage and computation and understand how Hadoop approaches the problem and provide a solution to the problem.

In the HDFS, section you will learn about the need for another file system like HDFS. We will compare HDFS with traditional file systems and its benefits. We will also work with HDFS and discuss the architecture of HDFS.

In the MapReduce section you will learn about the basics of MapReduce and phases involved in MapReduce. We will go over each phase in detail and understand what happens in each phase. Then we will write a MapReduce program in Java to calculate the maximum closing price for stock symbols from a stock dataset.

In the next two sections, we will introduce you to Apache Pig & Hive. We will try to calculate the maximum closing price for stock symbols from a stock dataset using Pig and Hive.

Course Curriculum

Chapter 1: Welcome & Lets Get Started

Lecture 1: Course Introduction

Chapter 2: Introduction to Big Data

Lecture 1: What Is Big Data?

Lecture 2: Understanding Big Data Problem

Chapter 3: HDFS

Lecture 1: HDFS – Why Another Filesystem?

Lecture 2: Working With HDFS

Lecture 3: HDFS Architechture

Chapter 4: MapReduce

Lecture 1: Introduction To MapReduce

Lecture 2: Dissecting MapReduce Components

Lecture 3: Dissecting MapReduce Program (Part 1)

Lecture 4: Dissecting MapReduce Program (Part 2)

Chapter 5: Apache Pig

Lecture 1: Introduction to Apache Pig

Chapter 6: Apache Hive

Lecture 1: Introduction to Apache Hive

Chapter 7: Hadoop Administrator In Real World (Upcoming Course)

Lecture 1: Cloudera Manager – Introduction

Lecture 2: Cloudera Manager – Installation

Chapter 8: Our Hadoop Developer course

Lecture 1: BONUS: Hadoop In Real World Course: Become an Expert Hadoop Developer

Instructors

Big Data In Real World
Expert Big Data Consultants

Rating Distribution

1 stars: 118 votes

2 stars: 251 votes

3 stars: 1857 votes

4 stars: 6582 votes

5 stars: 7575 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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