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IBM

Data Engineering Capstone Project

Showcase your skills in this Data Engineering project! In this course you will apply a variety of data engineering skills and techniques you have learned as part of the previous courses in the IBM Data Engineering Professional Certificate. You will demonstrate your knowledge of Data Engineering by assuming the role of a Junior Data Engineer who has recently joined an organization and be presented with a real-world use case that requires architecting and implementing a data analytics platform. In this Capstone project you will complete numerous hands-on labs. You will create and query data repositories using relational and NoSQL databases such as MySQL and MongoDB. You’ll also design and populate a data warehouse using PostgreSQL and IBM Db2 and write queries to perform Cube and Rollup operations. You will generate reports from the data in the data warehouse and build a dashboard using Cognos Analytics. You will also show your proficiency in Extract, Transform, and Load (ETL) processes by creating data pipelines for moving data from different repositories. You will perform big data analytics using Apache Spark to make predictions with the help of a machine learning model. This course is the final course in the IBM Data Engineering Professional Certificate. It is recommended that you complete all the previous courses in this Professional Certificate before starting this course.

状态:Databases
状态:Analytics
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RV

5.0评论日期:Mar 9, 2024

The Capstone was a bit of an anticlimax. I was expecting a very challenging Capstone, but found a "follow the instructions" approach which made it seem too simple. I'm not complaining ;-)

RS

5.0评论日期:Mar 17, 2023

I enjoyed having to go back and revise the other courses in the specialization. I had forgotten how interesting they were.

NL

5.0评论日期:Feb 8, 2025

good course for who want to become a Data Engineer

BB

5.0评论日期:Aug 13, 2023

Great course to learn the fundamentals to become a very good Data Engineer !

MS

5.0评论日期:Feb 8, 2026

I loved this course. A must try for anyone interested in Data Engineering.

所有审阅

显示:20/29

David Baldwin
2.0
评论日期:Jun 10, 2023
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5.0
评论日期:Sep 6, 2022
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评论日期:Mar 10, 2024
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评论日期:Mar 18, 2023
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2.0
评论日期:Mar 27, 2025
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5.0
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5.0
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5.0
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5.0
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5.0
评论日期:Jul 2, 2023
Đỗ Trung Kiên
5.0
评论日期:Oct 5, 2022
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5.0
评论日期:Nov 20, 2023
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5.0
评论日期:Mar 9, 2026
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5.0
评论日期:Feb 9, 2026