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Engineering Data Ecosystems: Pipelines, ETL, Spark

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Coursera Instructor Network

Engineering Data Ecosystems: Pipelines, ETL, Spark

Soheil Haddadi

Instructor: Soheil Haddadi

Included with Coursera Plus

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

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify and describe the components and importance of data ecosystems.

  • Understand the basic structure and function of data pipelines.

  • Recognize the steps involved in ETL workflows and their role in data handling.

  • Gain an introductory knowledge of big data and the application of Apache Spark.

Details to know

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Recently updated!

October 2024

Assessments

1 assignment

Taught in English

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There is 1 module in this course

This course serves as an introductory course aimed at unraveling the complexities of data ecosystems. It's tailored for individuals at the onset of their data engineering journey, emphasizing the construction, management, and optimization of data pipelines, the essentials of ETL (Extract, Transform, Load) workflows, and an introduction to big data processing with Apache Spark.

What's included

12 videos4 readings1 assignment2 discussion prompts

Instructor

Soheil Haddadi
Coursera Instructor Network
16 Courses4,088 learners

Offered by

Recommended if you're interested in Data Analysis

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