ETL and Data Pipelines with Shell, Airflow and Kafka

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5

(4)

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Course Features

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Duration

14 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

14 hours

Course Description

This course will teach you how to convert raw data into analytic-ready data. The Extract, Transform, Load process is one approach. Another approach is Extract, Load, and Transform. ETL processes can be applied to data warehouses or data marts. ELT processes are used for data lakes where data is transformed by the calling/requesting application on demand.

Course Overview

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Virtual Labs

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

You will gain knowledge on extraction

Transformation and loading (etl)

You will gain knowledge on apache kafka

You will gain knowledge on apache airflow

You will gain knowledge on data pipelines

Course Instructors

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Yan Luo

IBM

Yan Luo, Ph.D., is a data scientist and developer at IBM Canada. Yan has been building innovative AI and cognitive applications in various areas such as mining software repositories, personalized hea...
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Jeff Grossman

Skill-Up Technologies

Jeff has a background in Pure Mathematics, Geophysical Signal & Image Processing, Medical Imaging, and Data Science & Engineering. Jeff has built his career around data and algorithm development, and...
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Sabrina Spillner

Skill-Up Technologies

Sabrina Spillner is the instructor for this course
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Ramesh Sannareddy

Skill-up Technologies

Ramesh Sannareddy holds a Bachelors Degree in Information Systems (Birla Institute of Technology, Pilani). He has two and a half decades of experience in Information Technology Infrastructure Managem...

Course Reviews

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