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Data Streaming

Nanodegree Program

Learn the skills to take you into the next era of data engineering. Build real-time applications to process big data at scale.

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04Days08Hrs49Min18Sec

  • Estimated time
    2 Months

    At 5-10 hours/week

  • Enroll by
    November 30, 2022

    Get access to the classroom immediately upon enrollment

  • Prerequisites
    Intermediate Python, SQL, and experience with ETL

What you will learn

  1. Data Streaming

    Estimated 2 Months to complete

    Learn how to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming. You’ll start by understanding the components of data streaming systems. You’ll then build a real-time analytics application. Students will also compile data and run analytics, as well as draw insights from reports generated by the streaming console.

    Prerequisite knowledge

    1. Foundations of Data Streaming

      Learn the fundamentals of stream processing, including how to work with the Apache Kafka ecosystem, data schemas, ApacheAvro, Kafka Connect and REST proxy, KSQL, and Faust Stream Processing.

    2. Streaming API Development and Documentation

      The goal of this course is to grow your expertise in the components of streaming data systems, and build a real time analytics application. Specifically, you will be able to identify components of Spark Streaming (architecture and API), build a continuous application with Structured Streaming, consume and process data from Apache Kafka with Spark Structured Streaming (including setting up and running a Spark Cluster), create a DataFrame as an aggregation of source DataFrames, sink a composite DataFrame to Kafka, and visually inspect a data sink for accuracy.

All our programs include:

  • Real-world projects from industry experts

    With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.

  • Technical mentor support

    Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.

  • Career services

    You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.

  • Flexible learning program

    Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

Program offerings

  • Class content

    • Real-world projects
    • Project reviews
    • Project feedback from experienced reviewers
  • Student services

    • Technical mentor support
    • Student community
  • Career services

    • Github review
    • Linkedin profile optimization

Succeed with personalized services.

We provide services customized for your needs at every step of your learning journey to ensure your success.

Get timely feedback on your projects.

  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
  • 1,400+

    project reviewers

  • 2.7M

    projects reviewed

  • 88/100

    reviewer rating

  • 1.1 hours

    avg project review turnaround time

Learn with the best.

Learn with the best.

  • Ben Goldberg

    Staff Engineer at SpotHero

    In his career as an engineer, Ben Goldberg has worked in fields ranging from Computer Vision to Natural Language Processing. At SpotHero, he founded and built out their Data Engineering team, using Airflow as one of the key technologies.

  • Judit Lantos

    Senior Data Engineer at Netflix

    Judit is a Senior Data Engineer at Netflix. Formerly a Data Engineer at Split, where she worked on the statistical engine of their full-stack experimentation platform, she has also been an instructor at Insight Data Science, helping software engineers and academic coders transition to DE roles.

  • David Drummond

    VP of Engineering at Insight

    David is VP of Engineering at Insight where he enjoys breaking down difficult concepts and helping others learn data engineering. David has a PhD in Physics from UC Riverside.

  • Sean Murdock

    Faculty Member, BYU - Idaho

    Sean has worked as an Architect or Software Engineer for Columbia Ultimate, Firstsource Global, Intermountain Healthcare, General Motors, The Church of Jesus Christ, Northrup Grumman, Zions Bank, and Ancestry. He currently teaches DevOps and Cybersecurity for Brigham Young University Idaho.

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Data Streaming Nanodegree Program

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