Brochure
Enquire- Course Intro video
- ETL Fundamentals
- ELT Basics
- Comparing ETL to ELT
- Data Extraction Techniques
- Introduction to Data Transformation Techniques
- Data Loading Techniques
ETL and Data Pipelines with Shell, Airflow and Kafka
BY
IBM
via Coursera
Gain a thorough understanding of the capabilities of Airflow, Kafka, and shell scripting for data pipeline and ETL ...Read more
Intermediate
Online
5 Weeks
Quick Facts
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|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
The term ETL describes a set of procedures used to extract data from one system, change it, and load it into a target network. A more general name for any group of operations that transfer data from one system to another, possibly transforming it along the way, is a data pipeline. ETL and Data Pipelines with Shell, Airflow, and Kafka certification course is developed by IBM Skills Network and taught by Yan Luo - Ph.D., Data Scientist & Developer, Jeff Grossman - Certified Instructor, Sabrina Spillner - Senior Instructional Designer & Content Developer, and Ramesh Sannareddy - Data Engineering Expert, which is made available by Coursera.
ETL and Data Pipelines with Shell, Airflow, and Kafka online training is designed to help the students gain an understanding of the two different approaches to converting raw data into analytics-ready data including the ETL process and ELT process. ETL and Data Pipelines with Shell, Airflow, and Kafka online course explains the differences between ELT and ETL processing, identifies instances for each, and goes over the procedures and tools needed for extracting data, combining it logically or physically, and importing it into data sources.
The highlights
- Shareable certificate of completion
- Self-paced course
- 17 hours of effort
- 100% online content
- Flexible deadlines
Program offerings
- English video lectures with subtitles
- 100% online content
- Learning resources
- Graded quizzes
- Graded assignments
- Accessible on mobile devices.
Course and certificate fees
Depending upon the number of hours required to complete the learning, the participants may choose from any of the following ETL and Data Pipelines with Shell, Airflow, and Kafka certification fees mentioned in the table down below. All these structures include certificates after course completion.
ETL and Data Pipelines with Shell, Airflow, and Kafka Fee Structure
Description | Amount in INR |
1 Month, 20+ hours per week | Rs. 4,117 |
3 Months, 18 hours per week | Rs. 8,234 (Rs. 2,745/month) |
6 Months, 9 hours every week | Rs. 12,352 (Rs. 2,059/month) |
certificate availability
Yes
certificate providing authority
Coursera
What you will learn
Knowledge of kafka
After completing the ETL and Data Pipelines with Shell, Airflow, and Kafka online certification, students will gain a better understanding of the functionalities of Apache Kafka, Apache Airflow, and shell scripting using various ETL and data pipeline operations. Students will explore the advanced techniques utilized for data extraction, data transformation, data loading, and data streaming as well as will acquire knowledge of the batch mode and concurrent mode of execution. Students will also acquire knowledge of the techniques used for creating DAG using Airflow.
The syllabus
Module 1: Data Processing Techniques
Videos
Readings
- Course Introduction
- Summary & Highlights
Practice Exercises
- Practice Quiz: ETL and ELT Processes
- Graded Quiz: ETL and ELT Processes
Module 2: ETL & Data Pipelines: Tools and Techniques
Videos
- ETL using Shell Scripting
- Introduction to Data Pipelines
- Key Data Pipeline Processes
- Batch Versus Streaming Data Pipeline Use cases
- Data Pipeline Tools and Technologies
Readings
- Linux Commands and Shell Scripting
- ETL Techniques
- Summary & Highlights
- Summary & Highlights
Practice Exercises
- Practice Quiz: ETL using Shell Scripts
- Graded Quiz: ETL using Shell Scripts
- Practice Quiz: An Introduction to Data Pipelines
- Graded Quiz: An Introduction to Data Pipelines
Module 3: Building Data Pipelines using Airflow
Videos
- Apache Airflow Overview
- Advantages of Using Data Pipelines as DAGs in Apache Airflow
- Apache Airflow UI
- Build DAG Using Airflow
- Airflow Monitoring and Logging
Reading
- Summary & Highlights
Practice Exercises
- Practice Quiz: Using Apache Airflow to build Data Pipelines
- Graded Quiz: Using Apache Airflow to build Data Pipelines
Module 4: Building Streaming Pipelines using Kafka
Videos
- Distributed Event Streaming Platform Components
- Apache Kafka Overview
- Building Event Streaming Pipelines using Kafka
- Kafka Streaming Process
Reading
- Summary & Highlights
Practice Exercises
- Practice Quiz: Using Apache Kafka to build Pipelines for Streaming Data
- Graded Quiz: Using Apache Kafka to build Pipelines for Streaming Data
Module 5: Final Assignment
Readings
- Project Overview
- Congrats & Next Steps
- Team & Acknowledgements
Practice Exercise
- Final Quiz
Instructors
Mr Yan Luo
Data Scientist
IBM
Ph.D
Ms Sabrina Spillner
Senior Instructional Designer
IBM
Mr Jeff Grossman
Instructor
IBM
Mr Ramesh Sannareddy
Instructor
IBM
Other Bachelors
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