Lesson 1
Data Streaming Nanodegree Program Introduction
Welcome to the Data Streaming Nanodegree Program
Data Streaming
Nanodegree Program
Learn the latest skills to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming.
Learn the latest skills to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming.
Advanced
2 months
Real-world Projects
Completion Certificate
Last Updated December 29, 2023
Faust • Confluent Kafka Python client • Kafka rest proxy • KSQL
Intermediate Python • ETL • Basic descriptive statistics
Courses In This Program
Course 1 • 1 hour
Welcome to the Data Streaming Nanodegree Program
Lesson 1
Data Streaming Nanodegree Program Introduction
Welcome to the Data Streaming Nanodegree Program
Lesson 2
Getting Help
You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
Course 2 • 4 weeks
Data Ingestion with Kafka and Kafka Streaming
Learn to use REST Proxy, Kafka Connect, KSQL, and Faust Python Stream Processing and use it to stream public transit statuses using Kafka and Kafka ecosystem to build a stream processing application that shows the status of trains in real-time.
Lesson 1
Introduction to Stream Processing
In this lesson students will learn what data streaming is. Students will learn the pros and cons of data streaming, and how it compares to traditional data strategies.
Lesson 2
Apache Kafka
In this lesson we’ll review the architecture and configuration of Apache Kafka.
Lesson 3
Data Schemas and Apache Avro
This lesson covers data schemas and data schema management, with a focus on Apache Avro.
Lesson 4
Kafka Connect and REST Proxy
This lesson covers producing and consuming data into Kafka with Kafka Connect and REST Proxy.
Lesson 5
Stream Processing Fundamentals
Learn to build real-time applications that instantly process events, the concepts of stream processing state storage, windowed processing, and stateful and non-stateful stream processing.
Lesson 6
Stream Processing with Faust
Students will learn how to use the Python stream processing library Faust to rapidly create powerful stream processing applications.
Lesson 7
KSQL
Learn how to write simple SQL queries to turn Kafka topics into KSQL streams and tables, and then write those tables back out to Kafka.
Lesson 8 • Project
Optimizing Public Transportation
For your first project, you’ll be streaming public transit status using Kafka and the Kafka ecosystem to build a stream processing application that shows the status of trains in real-time.
Course 3 • 4 weeks
Streaming API Development and Documentation
In this course you will 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.
Lesson 1
Welcome
Introduction to Data Streaming with Spark
Lesson 2
Streaming Dataframes, Views, and Spark SQL
In this lesson, you'll learn about working with Spark Dataframes and views.
Lesson 3
Joins and JSON
In this lesson, you'll learn how to work with JSON and complete Joins for data streaming.
Lesson 4
Redis, Base64 and JSON
This lesson will focus on working with Redis, Base64, and JSON in Data Streaming.
Lesson 5 • Project
Evaluate Human Balance with Spark Streaming
As your final project for this course, you will demonstrate the skills you have learned by evaluating human balance with spark streaming.
(Optional) Course 4 • 2 days
Career Services
Lesson 1 • Project
Take 30 Min to Improve your LinkedIn
Find your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.
Lesson 2 • Project
Optimize Your GitHub Profile
Other professionals are collaborating on GitHub and growing their network. Submit your profile to ensure your profile is on par with leaders in your field.
Taught By The Best
Sean Murdock
Professor at Brigham Young University Idaho
Sean currently teaches cybersecurity and DevOps courses at Brigham Young University Idaho. He has been a software engineer for over 16 years. Some of the most exciting projects he has worked on involved data pipelines for DNA processing and vehicle telematics.
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.
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.
Ratings & Reviews
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