Brochure
Enquire- What is Big Data?
- Impact of Big Data
- Parallel Processing, Scaling, and Data Parallelism
- Big Data Tools and Ecosystem
- Open Source and Big Data
- Beyond the Hype
- Big Data Use Cases
Intermediate
Online
2 Weeks
Quick facts
| particular | details | ||
|---|---|---|---|
|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Learning efforts
10 Hours Per Week
|
Course overview
Introduction to Big Data with Spark and Hadoop is a beginner-level online course offered by Coursera in collaboration with IBM. The course, which can be covered in about 2 weeks, will guide and introduce the learners to Big data with Spark and Hadoop. Introduction to Big Data with Spark and Hadoop Certification Course is part of two different programmes or specializations offered by IBM, namely, IBM Data Engineering Professional Certificate and NoSQL, Big Data, and Spark Foundations Specialization.
Introduction to Big Data with Spark and Hadoop Training, provided by Coursera, will help the learners to learn Big Data with Hadoop, the implication of Big Data in Big Data Analytics, Resilient Distributed Datasets (RDDs), and many more. Introduction to Big Data with Spark and Hadoop Certification by Coursera demands from the learners 7 weeks of study. The course will provide the candidates with an insight into the Big Data processing tools and their features, limitations, benefits, and applications.
The highlights
- Provided by Coursera
- Offered by IBM
- Beginner Level Course
- Self-Paced Learning Option
- 100% Online Course
- Around 2 weeks to Complete
- Flexible Deadlines
- Shareable Certificate
- Financial Aid Available
Program 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.
Course and certificate fees
Introduction to Big Data with Spark and Hadoop Fee Structure
Duration | Amount in INR |
1 Month | INR 1,699 |
3 Months | INR 3,499 (INR 1,699/month) |
6 Months | INR 5,199 ( INR 867/month) |
certificate availability
Yes
certificate providing authority
Coursera
Eligibility criteria
Certification Qualifying Details
To get hold of the certification after the completion of the Introduction to Big Data with Spark and Hadoop online course, the candidates will need to duly finish all the gamut of proceedings of the programmes. Plus, the learners will have to pay the course fee prescribed by Coursera.
What you will learn
Knowledge of big data
Knowledge of apache spark
Introduction to Big Data with Spark and Hadoop Certification Syllabus will help the learners to have a thorough knowledge of the following:
- Big Data with Hadoop
- SparkML
- Big Data
- HDFS, HBase, Spark, and MapReduce.
- Apache Hadoop architecture,
- Apache Spark
- Impact of Big Data, processing methods, use cases, and tools.
Who it is for
Introduction to Big Data with Spark and Hadoop Classes are highly recommended for professionals who work in Big Data-related jobs such as Big Data Developer, Big Data Engineer, Big Data Analytics Engineer, and the like.
Admission details
Step 1 - Browse the official URL
https://www.coursera.org/learn/introduction-to-big-data-with-spark-hadoop
Step 2 - Kickstart the online certification programme by clicking ‘Enroll Now’.
The syllabus
Module 1: What is Big Data?
Videos
Readings
- Course Introduction
- Summary & Highlights
Practice Exercises
- Practice Quiz: Introduction to Big Data
- Graded Quiz: Introduction to Big Data
Module 2: Introduction to the Hadoop Ecosystem
Videos
- Introduction to Hadoop
- Intro to MapReduce
- Hadoop Ecosystem
- HDFS
- HIVE
- HBASE
Reading
- Summary & Highlights
Practice Exercises
- Practice Quiz: Introduction to Hadoop
- Graded Quiz: Introduction to Hadoop
Module 3: Apache Spark
Videos
- Why use Apache Spark?
- Functional Programming Basics
- Parallel Programming using Resilient Distributed Datasets
- Scale out / Data Parallelism in Apache Spark
- Dataframes and SparkSQL
Reading
- Summary & Highlights
Practice Exercises
- Practice Quiz: Introduction to Apache Spark
- Graded Quiz: Introduction to Apache Spark
Module 4: DataFrames and SparkSQL
Videos
- RDDs in Parallel Programming and Spark
- Data-frames and Datasets
- Catalyst and Tungsten
- ETL with DataFrames
- Real-world usage of SparkSQL
Reading
- Summary & Highlights
Practice Exercises
- Practice Quiz: Introduction to Data-Frames & SparkSQL
- Graded Quiz: Introduction to Data-Frames & SparkSQL
Module 5: Development and Runtime Environment Options
Videos
- Apache Spark Architecture
- Overview of Apache Spark Cluster Modes
- How to Run an Apache Spark Application
- Using Apache Spark on IBM Cloud
- Setting Apache Spark Configuration
- Running Spark on Kubernetes
Readings
- Summary & Highlights
- Summary & Highlights
Practice Exercises
- Practice Quiz: Spark Architecture
- Graded Quiz: Spark Architecture
- Practice Quiz: Spark Runtime Environments
- Graded Quiz: Spark Runtime Environments
Module 6: Monitoring & Tuning
Videos
- The Apache Spark User Interface
- Monitoring Application Progress
- Debugging Apache Spark Application Issues
- Understanding Memory Resources
- Understanding Processor Resources
Readings
- Summary & Highlights
- Instructions for the Final Exam
- Congrats & Next Steps
- Team & Acknowledgements
Practice Exercises
- Practice Quiz: Introduction to Monitoring & Tuning
- Graded Quiz: Introduction to Monitoring & Tuning
- Final Exam
Scholarship Details
Coursera provides financial aid for the students of the Introduction to Big Data with Spark and Hadoop Certification who cannot afford the course fee. They can apply for it by providing the needed information on the link provided on the course page. The scholarship will be distributed based on the financial background of the students.
How it helps
The Introduction to Big Data with Spark and Hadoop Certification benefits for the learners include that they can understand the big data with Spark and Hadoop and related concepts in greater depth. Plus, the candidates will be conferred a certificate of completion at the end of the programme.
Instructors
Ms Aije Egwaikhide
Senior Data Scientist
IBM
Other Bachelors, Other Masters
Mr Romeo Kienzler
Data Scientist
IBM
Other Masters
Mr Rav Ahuja
Global Program Director
IBM
B.E /B.Tech, MBA
FAQs
Who are the instructors who developed the Introduction to Big Data with Spark and Hadoop online course?
The certification programme on Big Data is prepared and supervised by Karthik Muthuraman, a software engineer, and Aije Egwaikhide, the senior data scientist at IBM.
Which level of audience and learners can join the Introduction to Big Data with Spark and Hadoop online certification?
The online certificate programme is recommended for intermediate-level students who want to explore Big Data Analytics.
The online course is part of two different programmes offered by IBM; what are they?
The online programme is part of the IBM Data Engineering Professional Certificate and NoSQL, Big Data, and Spark Foundations Specialization.
What are the enrollment options for the students to pursue the course?
There are two options for students to enroll in the programme, namely, the audit mode which requires no fee, and the enrolment mode by paying the fee.
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