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PROGRAM SYLLABUS

 

Data Engineering

 


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Overview

Learn to design data pipelines and APIs in the cloud, perform analytics in the cloud and automate this complete process flow. At the end of the program, demonstrate your mastery by finishing a capstone project that combines all the critical concepts learnt.

You need to have intermediate SQL and Python programming skills. If you do not have the required prerequisites, the following courses will get you ready:

Educational Objectives:

You will learn to

  • Create scalable data processing solutions using Hive and Spark
  • Build data pipelines with Storm and Kafka
  • Create scalable and efficient data warehouses
  • Create Data Services and APIs
  • Work with the analytics solutions in the cloud and automate the process flow
  • Build an end to end solution to deliver data to your clients who are creating analytics solutions

SOLUTIONS

Estimated Time:

4 to 5 weeks (fifth week is optional)

data engineering syllabus

Prerequisites:

Intermediate Python and SQL

data engineering syllabus

Flexible Learning:

We can deliver virtually or in-person, in half-days, 2 evenings or a week, or on a 9-5 schedule.

data engineering syllabus

Need Help?

Discuss this program with a Web Age advisor.

Need Help? Speak with an Advisor:   www.webagesolutions.com/contactus

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US Inquiries / 1.877.517.6540
Canadian Inquiries / 1.877.812.8887