Coursera Instructor Network
Data Engineering: Pipelines, ETL, Hadoop
Coursera Instructor Network

Data Engineering: Pipelines, ETL, Hadoop

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyse the architecture and components of data pipelines to understand their impact on data flow and processing efficiency.

  • Implement robust ETL processes, for scalability and maintainability.

  • Analyze big data challenges and introduce Hadoop ecosystem tools (HDFS, MapReduce, Hive, Pig, and Spark) for data processing tasks.

Details to know

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Recently updated!

September 2024

Assessments

1 assignment

Taught in English

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There is 1 module in this course

This course provides a comprehensive guide to mastering data engineering, where you'll learn to build robust data pipelines, delve into ETL (Extract, Transform, Load) processes, and handle large datasets using Hadoop. You will gain expertise in extracting data from various sources, transforming it into a usable format, and loading it into data warehouses or big data platforms.

What's included

12 videos4 readings1 assignment2 discussion prompts

Instructor

Soheil Haddadi
Coursera Instructor Network
14 Courses3,440 learners

Offered by

Recommended if you're interested in Data Analysis

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