About this Course

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This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment.   In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data.  You'll feel empowered to have conversations about big data and the data analysis process.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Approx. 25 hours to complete

English

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Skills you will gain

Python Programming
Apache Hadoop
Mapreduce
Apache Spark

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Approx. 25 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

3.73/5 (90 Ratings)

Syllabus - What you will learn from this course

Content Rating83%(20,724 ratings)

Week1

Week 1

2 hours to complete

Hadoop Basics

2 hours to complete

7 videos (Total 53 min), 4 readings, 1 quiz

7 videos

Hadoop Stack Basics4mThe Apache Framework: Basic Modules3mHadoop Distributed File System (HDFS)5mThe Hadoop "Zoo"5mHadoop Ecosystem Major Components11mExploring the Cloudera VM: Hands-On Part 116mExploring the Cloudera VM: Hands-On Part 26m

4 readings

Apache Hadoop Ecosystem10mLesson 1 Slides (PDF)10mHardware & Software Requirements10mLesson 2 Slides - Cloudera VM Tour10m

1 practice exercise

Basic Hadoop Stack30m

Week2

Week 2

4 hours to complete

Introduction to the Hadoop Stack

4 hours to complete

10 videos (Total 70 min), 6 readings, 3 quizzes

10 videos

Overview of the Hadoop Stack4mThe Hadoop Distributed File System (HDFS) and HDFS28mMapReduce Framework and YARN8mThe Hadoop Execution Environment4mYARN, Tez, and Spark11mHadoop Resource Scheduling6mHadoop-Based Applications3mIntroduction to Apache Pig7mIntroduction to Apache HIVE7mIntroduction to Apache HBASE7m

6 readings

Hadoop Basics - Lesson 1 Slides10mLesson 2: Hadoop Execution Environment - Slides10mLesson 3: Hadoop-Based Applications Overview - All Slides10mCommand list for Applications Slides10mTips to handle service connection errors10mReferences for Applications10m

3 practice exercises

Overview of Hadoop Stack30mHadoop Execution Environment30mHadoop Applications30m

Week3

Week 3

3 hours to complete

Introduction to Hadoop Distributed File System (HDFS)

3 hours to complete

9 videos (Total 58 min), 5 readings, 3 quizzes

9 videos

Overview of HDFS Architecture4mThe HDFS Performance Envelope5mRead/Write Processes in HDFS4mHDFS Tuning Parameters6mHDFS Performance and Robustness9mOverview of HDFS Access, APIs, and Applications5mHDFS Commands8mNative Java API for HDFS4mREST API for HDFS8m

5 readings

Lesson 1: Introduction to HDFS - Slides10mHDFS references10mLesson 2: HDFS Performance and Tuning - Slides10mHDFS Access, APIs10mLesson 3: HDFS Access, APIs, Applications - Slides10m

3 practice exercises

HDFS Architecture30mHDFS performance,tuning, and robustness30mAccessing HDFS30m

Week4

Week 4

7 hours to complete

Introduction to Map/Reduce

7 hours to complete

9 videos (Total 27 min), 3 readings, 3 quizzes

9 videos

Introduction to Map/Reduce2mThe Map/Reduce Framework2mA MapReduce Example: Wordcount in detail4mMapReduce: Intro to Examples and Principles2mMapReduce Example: Trending Wordcount1mMapReduce Example: Joining Data4mMapReduce Example: Vector Multiplication2mComputational Costs of Vector Multiplication3mMapReduce Summary2m

3 readings

Lesson 1: Introduction to MapReduce - Slides10mA note on debugging map/reduce programs.10mLesson 2: MapReduce Examples and Principles - Slides10m

1 practice exercise

Lesson 1 Review30m

Reviews

4.0

776 reviews

5 stars
45.25%
4 stars
28.14%
3 stars
12.36%
2 stars
6.77%
1 star
7.46%

TOP REVIEWS FROM HADOOP PLATFORM AND APPLICATION FRAMEWORK

by BMMar 1, 2016

Very good overview, but not extremely in-depth. It's a great course to get an understanding of the concepts and you can investigate deeper later into the topics that interest you.

by ADOct 26, 2017

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by YNMay 22, 2016

Easy into into big data architecture with minimal previous development requirements. Relevant to anyone who wants to grasp basic concepts of how data flows/processed/analyzed in hadoop.

by GMJan 31, 2016

I'm forced to give 5 stars. I don't want to have a certification on a poor quality course (another coursera mistake). This material needs tremendous amount of work to get finished and revised.

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Hadoop Platform and Application Framework