September 2018
Beginner to intermediate
3h 24m
English
Overview
In this 3 hr course, you will learn how to use Apache Spark Streaming with Python to process and analyze real-time big data streams. This course provides a comprehensive foundation for creating, optimizing, and deploying streaming data pipelines using PySpark.
What I will be able to do after this course
- Master developing Spark Streaming applications using PySpark.
- Gain expertise in processing live data from sources like Twitter.
- Learn techniques to optimize Spark jobs for better performance.
- Understand Spark SQL and its applications in structured data processing.
- Integrate Spark Streaming with tools like Apache Kafka.
Course Instructor(s)
James Lee is a seasoned developer and data engineer with years of experience working with big data solutions. Having taught thousands of students, James specializes in breaking down complex concepts into easily digestible lessons, ensuring learners gain practical skills they can apply right away. His teaching combines a deep understanding of technology with a passion for empowering students to succeed.
Who is it for?
This course is ideal for Python developers aiming to expand into streaming data processing, big data professionals looking to add Spark to their toolkit, and managers or engineers focused on enhancing their team's data capabilities. Learners should have some experience with Python and basic data concepts to benefit from this course.
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