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Estimated Time
2 Months
At 5-10 hours/week
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What You Will Learn
Syllabus
Data Streaming
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Prerequisite Knowledge
To be successful in this program, you should have intermediate Python and SQL skills, as well as experience with ETL.See detailed requirements.
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.
Optimize Chicago Public TransitStreaming API Development and Documentation
Grow expertise in the components of streaming data systems, and learn how to build a real-time analytics application. Understand the dimensions of Spark streaming, ingest streaming data to Apache Spark Structured Streaming, and integrate Spark streams into Kafka.
Analyze San Francisco Crime Rate
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.
Personal career coach and career services
You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.
Flexible learning program
Get a custom learning plan tailored to fit your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Program OfferingsFull list of offerings included:
Enrollment Includes:
Class content
Real-world projects
Project reviews
Project feedback from experienced reviewers
Student Services
Technical mentor support
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Student community
Improved
Career services
Personal career coaching
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Interview preparations
Resume services
Github review
LinkedIn profile review
Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Experienced Project Reviewers
Project Reviewers
Technical Mentor Support
Technical Mentor Support
Personal Career Coach
Career Coaching
Get personalized feedback on your projects
Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
Reviewer Services
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
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.
Jillian Kim
Senior Data Engineer at Change Healthcare
Jillian has worked in roles from building data analytics platforms to machine learning pipelines. Previously, she was a research engineer at Samsung focused on data analytics and ML, and now leads building pipelines at scale as a Senior Data Engineer at Change Healthcare.
NEW
Data Streaming Nanodegree Program
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Learn how to analyze data in real-time using Apache Kafka and Spark, and build applications to process live insights from data at scale.
Average Time
On average, successful students take null months to complete this program.
Benefits include
- Real-world projects from industry experts
- Technical mentor support
- Personal career coach & career services
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Program Details
Why should I enroll?
As businesses increasingly rely on applications that produce and process data in real-time, data streaming is an increasingly in-demand skill for data engineers. The Data Streaming Nanodegree program will prepare you for the cutting edge of data engineering as more and more companies look to derive live insights from data at scale.
Students will 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. You will also compile data and run analytics, as well as draw insights from reports generated by the streaming console.What jobs will this program prepare me for?
This program is designed to upskill experienced Software Engineers and Data Engineers to learn the latest advancements in data processing, sending data records continuously to support live updating.
The projects in the Data Streaming Nanodegree program will prepare you to develop systems and applications capable of interpreting data in real-time, and position you for roles in all industries that require live data processing for functions including big data, cloud computing, web personalization, fraud detection, sensor monitoring, anomaly detection, supply chain maintenance, location-based services, and much more.How do I know if this program is right for me?
This program is intended for software engineers looking to build real-time data processing proficiency, as well as data engineers looking to enhance their existing skill set with the next advancement in data engineering.
PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
Do I need to apply? What are the admission criteria?
There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.What are the prerequisites for enrollment?
The Data Streaming Nanodegree program is designed for students with intermediate Python and SQL skills, as well as experience with ETL. Basic familiarity with traditional batch processing and basic conceptual familiarity with traditional service architectures is desired, but not required.
Intermediate Python programming knowledge, of the sort gained through the Programming for Data Science Nanodegree program, other introductory programming courses or programs, or additional real-world software development experience. Including:- Strings, numbers, and variables; statements, operators, and expressions;
- Lists, tuples, and dictionaries; Conditions, loops;
- Procedures, objects, modules, and libraries;
- Troubleshooting and debugging; Research & documentation;
- Problem solving; Algorithms and data structures
Intermediate SQL knowledge and linear algebra mastery, addressed in the Programming for Data Science Nanodegree program, including:- Joins, Aggregations, and Subqueries
- Table definition and manipulation (Create, Update, Insert, Alter)
If I do not meet the requirements to enroll, what should I do?
Udacity’s Programming for Data Science with Python Nanodegree program is great preparation for the Data Engineer Nanodegree program. You’ll learn to code with Python and SQL.
Similarly, the Data Engineering Nanodegree program is great preparation for the Data Streaming Nanodegree program.
Enrollment and Admission
How is this Nanodegree program structured?
The Data Streaming Nanodegree program is comprised of content and curriculum to support two projects. We estimate that students can complete the program in two months, working five to ten hours per week.
Each project will be reviewed by the Udacity reviewer network. Feedback will be provided, and if you do not pass the project, you will be asked to resubmit the project until it passes.How long is this Nanodegree program?
Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.Can I switch my start date? Can I get a refund?
Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.
Tuition and Term of Program
What software and versions will I need in this program?
There are no software and version requirements to complete this Nanodegree program. All coursework and projects can be completed via Student Workspaces in the Udacity online classroom.