Building the Data Pipeline

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Course Details

  • Location: Bellevue, Online
  • Duration: 10 weeks
  • Times: Evenings
  • Cost : $1,450

Next Start Date:

TBD

This course is part of a certificate program. You can also take it without enrolling in the program.

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About this Course


This course focuses on the process used to create usable data for downstream analysis. You'll analyze and compare available technologies in order to make informed decisions as data engineers. You'll also learn how to run a data processing workflow through several data stack platforms and design a data pipeline for a business-use case.

What You’ll Learn

  • How to use Spark for batch and streaming processing
  • How to use Kafka for low-latency and real-time processing
  • Data acquisition and modeling techniques
  • Workflow orchestration and automations
  • The pros and cons of available technologies
  • Pipeline design and integration

Program Overview

This course is part of the Certificate in Big Data Technologies.

Learning Formats

Online With Real-Time Meetings

Combine the convenience of online learning with the immediacy of real-time interaction. You’ll stream courses online and interact with your instructors and fellow students via chat, web conferencing or phone, all in real time. Learn More »

Classroom

Attend classes part time at one of our convenient locations in the Puget Sound region. You’ll engage face to face with your classmates and instructors as part of a highly interactive curriculum. Learn More »

Course Sessions

Closed Sessions

Online

Meet your instructor

Jason Kolter

Data Integration and Predictive Analytics Fellow, Foster America

NONCREDIT COURSE

You'll earn 3 continuing education units (CEUs) for successfully completing this course. Learn more about noncredit courses.

Meet your instructor

Jason Kolter

Data Integration and Predictive Analytics Fellow, Foster America

NONCREDIT COURSE

You'll earn 3 continuing education units (CEUs) for successfully completing this course. Learn more about noncredit courses.

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