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Sean Murdock,
Judit Lantos,
David Drummond,
and
Ben Goldberg
Learn Data Streaming API Development in our online course. Gain expertise in streaming data systems, real-time analytics applications, and more. Enroll today!
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Intermediate Python
- Intermediate SQL
- ETL
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/d1r65t/streaming
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What's inside
Syllabus
Introduction to Data Streaming with Spark
In this lesson, you'll learn about working with Spark Dataframes and views.
In this lesson, you'll learn how to work with JSON and complete Joins for data streaming.
Read more
Syllabus
Introduction to Data Streaming with Spark
In this lesson, you'll learn about working with Spark Dataframes and views.
In this lesson, you'll learn how to work with JSON and complete Joins for data streaming.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Explores data streaming with Spark, widely adopted in industry
Provides practical hands-on experience with Spark DataFrames, views, and joins
Designed for learners with intermediate Python and SQL knowledge
Requires proficiency in written and spoken English
May require additional resources to meet prerequisite knowledge
Final project allows learners to showcase their skills in evaluating human balance with Spark streaming
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Reviews summary
Practical streaming api skills
Based on its curriculum and prerequisites, learners may anticipate a course highly focused on practical data streaming API development. Students could expect to gain expertise in real-time analytics applications using technologies like Spark Dataframes, JSON, and Redis. The inclusion of a hands-on final project suggests a strong emphasis on applying learned concepts. However, learners should be prepared for intermediate technical prerequisites in Python, SQL, and ETL, as the course likely moves at a challenging pace for those without a solid foundation.
Title includes documentation, but syllabus details are limited.
"I was curious how deep the course would go into the 'documentation' aspect mentioned in the title."
"The syllabus primarily focuses on development; I hope documentation practices get their due."
"I'd like to see more explicit details on API documentation strategies within the course."
Requires solid intermediate Python, SQL, and ETL knowledge.
"I anticipate this course will be challenging if my intermediate Python and SQL aren't strong enough."
"Learners should truly meet the intermediate Python, SQL, and ETL requirements to succeed."
"Without the right background, I imagine some of the concepts could be difficult to grasp quickly."
Appears to cover complex topics in focused lessons.
"The lesson breakdown suggests a focused approach to each key topic."
"I appreciate how specific technologies like Redis and Base64 are integrated into lessons."
"It looks like the course dives straight into practical Spark applications, which is efficient."
Provides a hands-on project to solidify understanding.
"The final project on evaluating human balance with Spark streaming seems like a great way to apply what I learned."
"I expect the project work will reinforce the concepts from the lessons effectively."
"It's good to see a course that culminates in a practical demonstration of skills."
Focuses on in-demand streaming API development concepts.
"I appreciate learning about real-time analytics; it's a critical skill in today's data landscape."
"The focus on Spark for data streaming seems very practical and directly applicable to my job."
"I found the topics like JSON, Redis, and Base64 to be current and valuable for API work."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Streaming API Development and Documentation with these
activities:
Review Intermediate Python
Show steps
Refresh your knowledge of intermediate Python programming concepts to ensure you have a strong foundation for this course.
Browse courses on
Python Programming
Show steps
-
Review variables, data types, and operators
-
Practice using conditional statements and loops
-
Create a small Python script to demonstrate your skills
Review Intermediate SQL
Show steps
Brush up on intermediate SQL concepts to enhance your understanding of data querying and manipulation.
Browse courses on
SQL
Show steps
-
Review SELECT, JOIN, and WHERE clauses
-
Practice writing queries to retrieve specific data
-
Create a small SQL script to demonstrate your skills
Review ETL Concepts
Show steps
Refresher on ETL concepts will help you better understand the role of data integration in streaming data systems.
Browse courses on
ETL
Show steps
-
Review the ETL process and its components
-
Practice using an ETL tool to extract, transform, and load data
-
Create a small ETL script to demonstrate your skills
Five other activities
Expand to see all activities and additional details
Show all eight activities
Identify a mentor with experience in Data Streaming
Show steps
Finding a mentor with expertise in data streaming can provide valuable guidance, support, and insights.
Show steps
-
Attend industry events and meetups
-
Reach out to professionals in your network
-
Identify potential mentors based on their experience and qualifications
Follow tutorials on Spark Data Streaming
Show steps
Completing tutorials on Spark Data Streaming will enhance your practical skills and deepen your understanding of the technology.
Show steps
-
Find tutorials on Spark Data Streaming from reputable sources
-
Follow the tutorials and complete the exercises
-
Build small projects based on what you learn
Code challenges on Data Streaming
Show steps
Solving coding challenges will reinforce your understanding of data streaming concepts and improve your problem-solving skills.
Show steps
-
Find coding challenges on platforms like LeetCode or HackerRank
-
Practice solving challenges related to data streaming
-
Review your solutions and identify areas for improvement
Participate in a Spark Data Streaming workshop
Show steps
Attending a Spark Data Streaming workshop will provide you with expert guidance and hands-on experience in a collaborative environment.
Show steps
-
Find a reputable workshop on Spark Data Streaming
-
Register for the workshop and attend all sessions
-
Participate actively in discussions and exercises
Build a simple data streaming application
Show steps
Developing a simple data streaming application will provide hands-on experience and solidify your understanding of the concepts covered in this course.
Show steps
-
Choose a data source and a streaming platform
-
Design and implement a data streaming pipeline
-
Deploy the application and monitor its performance
Review Intermediate Python
Show steps
Refresh your knowledge of intermediate Python programming concepts to ensure you have a strong foundation for this course.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Review variables, data types, and operators
- Practice using conditional statements and loops
- Create a small Python script to demonstrate your skills
Review Intermediate SQL
Show steps
Brush up on intermediate SQL concepts to enhance your understanding of data querying and manipulation.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review SELECT, JOIN, and WHERE clauses
- Practice writing queries to retrieve specific data
- Create a small SQL script to demonstrate your skills
Review ETL Concepts
Show steps
Refresher on ETL concepts will help you better understand the role of data integration in streaming data systems.
Browse courses on
ETL
Show steps
Show steps
Show steps
- Review the ETL process and its components
- Practice using an ETL tool to extract, transform, and load data
- Create a small ETL script to demonstrate your skills
Five other activities
Expand to see all activities and additional details
Show all eight activities
Identify a mentor with experience in Data Streaming
Show steps
Finding a mentor with expertise in data streaming can provide valuable guidance, support, and insights.
Show steps
Show steps
Show steps
- Attend industry events and meetups
- Reach out to professionals in your network
- Identify potential mentors based on their experience and qualifications
Follow tutorials on Spark Data Streaming
Show steps
Completing tutorials on Spark Data Streaming will enhance your practical skills and deepen your understanding of the technology.
Show steps
Show steps
Show steps
- Find tutorials on Spark Data Streaming from reputable sources
- Follow the tutorials and complete the exercises
- Build small projects based on what you learn
Code challenges on Data Streaming
Show steps
Solving coding challenges will reinforce your understanding of data streaming concepts and improve your problem-solving skills.
Show steps
Show steps
Show steps
- Find coding challenges on platforms like LeetCode or HackerRank
- Practice solving challenges related to data streaming
- Review your solutions and identify areas for improvement
Participate in a Spark Data Streaming workshop
Show steps
Attending a Spark Data Streaming workshop will provide you with expert guidance and hands-on experience in a collaborative environment.
Show steps
Show steps
Show steps
- Find a reputable workshop on Spark Data Streaming
- Register for the workshop and attend all sessions
- Participate actively in discussions and exercises
Build a simple data streaming application
Show steps
Developing a simple data streaming application will provide hands-on experience and solidify your understanding of the concepts covered in this course.
Show steps
Show steps
Show steps
- Choose a data source and a streaming platform
- Design and implement a data streaming pipeline
- Deploy the application and monitor its performance
Career center
Learners who complete Streaming API Development and Documentation will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/d1r65t/streaming
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Streaming API Development and Documentation.
Provides a comprehensive overview of the Apache Kafka streaming platform, including its architecture, components, and use cases. It valuable resource for anyone interested in learning more about Kafka and how to use it effectively.
Provides a comprehensive guide to cloud data analytics with Google BigQuery. It covers the fundamentals of BigQuery, as well as advanced topics such as data integration, data processing, and data visualization.
Provides a comprehensive guide to Hadoop. It covers the fundamentals of Hadoop, as well as advanced topics such as data integration, data processing, and data visualization.
Provides a comprehensive guide to Spark. It covers the fundamentals of Spark, as well as advanced topics such as data integration, data processing, and data visualization.
Provides a comprehensive overview of data science, including data collection, storage, processing, and analysis. It valuable resource for anyone interested in learning more about data science and how to use it to solve business problems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/d1r65t/streaming
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