By the end of this course, learners will be able to explain the role of Apache Sqoop, apply Sqoop commands to transfer data between relational databases and Hadoop, and configure Sqoop options to control performance, filtering, and data storage. Learners will also be able to verify Sqoop installation and execute optimized imports using table structure and column-level controls.
Apply Sqoop for Efficient Hadoop Data Integration
Apply Sqoop for Efficient Hadoop Data Integration
This course is part of Apply and Analyze Sqoop for Hadoop ETL Specialization
Instructor: EDUCBA
Included with
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Explain Apache Sqoop’s role in transferring data between relational databases and Hadoop.
Apply Sqoop commands and options to perform controlled, optimized data imports.
Verify Sqoop setup and execute performance-aware imports using table and column-level controls.
Details to know
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Recently updated!
February 2026
Assessments
7 assignments
Taught in English
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This course is part of the Apply and Analyze Sqoop for Hadoop ETL Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course
This module introduces Apache Sqoop and its role in big data ecosystems, explaining how Sqoop enables efficient bulk data transfer between relational databases and Hadoop. Learners explore Sqoop architecture, command-line options, and table import behavior, including parallel processing and primary key considerations.
What's included
6 videos4 assignments
This module focuses on practical Sqoop operations, including controlling data destinations, filtering records, selecting columns, and completing Sqoop installation. Learners gain hands-on understanding of managing import output, optimizing data transfer, and validating a working Sqoop environment.
What's included
5 videos3 assignments
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