Gain a thorough understanding of the capabilities of Airflow, Kafka, and shell scripting for data pipeline and ETL processes.
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.
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)
Yes
Coursera
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.
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
SkillUp Online via Simplilearn
Yale University, New Haven via Coursera
Sona College of Technology, Salem
Google Cloud via SkillUp Online
Google via SkillUp Online
Coventry University, Coventry via Futurelearn
CloudSwyft Global Systems, Inc via Futurelearn
EC-Council via Futurelearn
IBM via Edx
IBM via Coursera
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