Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Hadoop Platform and Application Framework is a 25-hour long online certification programme offered jointly by Coursera and the University of California San Diego. Coursera provides the Coursera Hadoop platform and application framework course in a flexible mode that can be taken by the learners completely in the online mode. Hadoop Platform and Application Framework Certification Course, provided by Coursera, can be taken by all learners, including business people and novice programmers.
Hadoop Platform and Application Framework Training will guide the students on the core tools used for big data analysis, especially Hadoop and Spark, along with practical exposure with the help of hands-on examples. The online Hadoop platform and application framework Coursera course will also explore Python Programming, MapReduce, Apache Spark, and Apache Hadoop. Hadoop Platform and Application Framework Certification by Coursera can be pursued by any learner from numerous parts of the world as Coursera provides subtitles in the languages of Arabic, Vietnamese, French, Portuguese (European), Italian, German, Russian, English, and Spanish.
The Highlights
- Provided by Coursera
- Offered by University of California San Diego
- Self-Paced Learning Option
- 100% Online Course
- Around 25 Hours to Complete
- Flexible Deadlines
- Shareable Certificate
- Financial Aid Available
Programme Offerings
- English videos with multiple subtitles
- Shareable Certificate
- Financial aid available
- Shareable Certificates
- Self-Paced Learning Option
- Course Videos & Readings
- practice quizzes
- Graded Assignments with peer feedback
- graded Quizzes with feedback.
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 4957 | yes | UC San Diego |
Coursera provides two options for enrolment for the students to enrol in the programmes. The first option is to purchase the course by paying the Hadoop Platform and Application Framework Certification Fee. The second option is to audit the course but the learners in this mode will be provided with limited access.
Hadoop Platform and Application Framework Fee Structure
Name of the course | Fee Amount in INR |
Hadoop Platform and Application Framework | INR 4,957 |
Eligibility Criteria
Certification Qualifying Details
After the completion of the Hadoop Platform and Application Framework online course, the learners will be provided with a shareable certificate if they duly cover the programme and pay the Coursera-prescribed course fee.
What you will learn
Hadoop Platform and Application Framework Certification Syllabus will help the learners to have insight into the frameworks of Hadoop and Spark, Hadoop architecture, execution environment, software stack, and the like.
Who it is for
Hadoop Platform and Application Framework Classes can be taken by anyone who is very interested in learning the Hadoop platform including professionals such as Big Data Analytics Engineer, Big Data Developer, and Big Data Engineer.
Admission Details
Step 1 -Browse the official URL
https://www.coursera.org/learn/hadoop
Step 2- Pursue the online programme by opting for the option ‘Enroll Now’.
The Syllabus
Videos
- Hadoop Stack Basics
- The Apache Framework: Basic Modules
- Hadoop Distributed File System (Hdfs)
- The Hadoop "Zoo"
- Hadoop Ecosystem Major Components
- Exploring The Cloudera Vm: Hands-On Part 1
- Exploring The Cloudera Vm: Hands-On Part 2
Readings
- Apache Hadoop Ecosystem
- Lesson 1 Slides (Pdf)
- Hardware & Software Requirements
- Lesson 2 Slides - Cloudera Vm Tour
Practice Exercises
- Basic Hadoop Stack
Videos
- Overview Of The Hadoop Stack
- The Hadoop Distributed File System (Hdfs) And Hdfs2
- Mapreduce Framework And Yarn
- The Hadoop Execution Environment
- Yarn, Tez, And Spark
- Hadoop Resource Scheduling
- Hadoop-Based Applications
- Introduction To Apache Pig
- Introduction To Apache Hive
- Introduction To Apache Hbase
Readings
- Hadoop Basics - Lesson 1 Slides
- Lesson 2: Hadoop Execution Environment - Slides
- Lesson 3: Hadoop-Based Applications Overview - All Slides
- Command List For Applications Slides
- Tips To Handle Service Connection Errors
- References For Applications
Practice Exercises
- Overview Of Hadoop Stack
- Hadoop Execution Environment
- Hadoop Applications
Videos
- Overview Of Hdfs Architecture
- The Hdfs Performance Envelope
- Read/Write Processes In Hdfs
- Hdfs Tuning Parameters
- Hdfs Performance And Robustness
- Overview Of Hdfs Access, Apis, And Applications
- Hdfs Commands
- Native Java Api For Hdfs
- Rest Api For Hdfs
Readings
- Lesson 1: Introduction To Hdfs - Slides
- Hdfs References
- Lesson 2: Hdfs Performance And Tuning - Slides
- Hdfs Access, Apis
- Lesson 3: Hdfs Access, Apis, Applications - Slides
Practice Exercises
- Hdfs Architecture
- Hdfs Performance,Tuning, And Robustness
- Accessing Hdfs
Videos
- Introduction To Map/Reduce
- The Map/Reduce Framework
- A Mapreduce Example: Wordcount In Detail
- Mapreduce: Intro To Examples And Principles
- Mapreduce Example: Trending Wordcount
- Mapreduce Example: Joining Data
- Mapreduce Example: Vector Multiplication
- Computational Costs Of Vector Multiplication
- Mapreduce Summary
Readings
- Lesson 1: Introduction To Mapreduce - Slides
- A Note On Debugging Map/Reduce Programs.
- Lesson 2: Mapreduce Examples And Principles - Slides
Practice Exercises
- Lesson 1 Review
Videos
- Introduction To Apache Spark
- Architecture Of Spark
- Resilient Distributed Datasets
- Spark Transformations
- Wide Transformations
- Directed Acyclic Graph (Dag) Scheduler
- Actions In Spark
- Memory Caching In Spark
- Broadcast Variables
- Accumulators
Readings
- Setup Pyspark On The Cloudera Vm
- Lesson 1: Intro To Apache Spark - Slides
- Lesson 2: Rdd And Transformations - Slides
- Lesson 3: Scheduling, Actions, Caching - Slides
Practice Exercises
- Spark Lesson 1
- Spark Lesson 2
- Spark Lesson 3
Instructors
UC San Diego Frequently Asked Questions (FAQ's)
The online certification course is a 100% online programme that can be produced by the students at their pace.
So far, 149,689 learners have enrolled in the certification course.
The university that works hand-in-hand with Coursera to offer the online course is the University of California San Diego.
The minimum duration in which the learners can cover the online certification is about 25 hours.
Yes, Coursera provides learners with financial assistance for students who struggle to pay the course fee.