Spark Streaming - Stream Processing in Lakehouse - PySpark
Master Spark Structured Streaming using Python (PySpark) on Azure Databricks Cloud with a end-to-end Project
4.74 (1708 reviews)
17 485
students
22.5 hours
content
Aug 2024
last update
$74.99
regular price
What you will learn
Real-time Stream Processing Concepts
Spark Structured Streaming APIs and Architecture
Working with Streaming Sources and Sinks
Kafka for Data Engineers
Working With Kafka Source and Integrating Spark with Kafka
State-less and State-full Streaming Transformations
Windowing Aggregates using Spark Stream
Watermarking and State Cleanup
Streaming Joins and Aggregation
Handling Memory Problems with Streaming Joins
Working with Azure Databricks
Capstone Project - Streaming application in Lakehouse
Course Gallery
Charts
Students
Price
Rating & Reviews
Enrollment Distribution
Comidoc Review
Our Verdict
Boasting a 4.74 global rating and over 17,000 subscribers, this PySpark course on Udemy is ideal for learners seeking to understand real-time stream processing using Spark Structured Streaming. While the course length could be optimized and audio quality improved, the expert instruction, hands-on exercises, and capstone project contribute to a solid learning experience in an otherwise niche subject. As you explore this 22.5-hour course, keep an eye out for implementation tactics and best practices provided by the instructor for maximizing your understanding of stream processing.
What We Liked
- Comprehensive coverage of Spark Streaming and PySpark, taking learners from basics to advanced techniques
- Well-structured course with hands-on exercises and a capstone project, facilitating practical implementation
- Expert instructor, Prashant Kumar Pandey, who explains complex topics clearly and has expertise in the field
- Incorporation of CI/CD and unit testing concepts, contributing to production-ready projects
Potential Drawbacks
- Lengthy course, with some content such as Kafka introduction and older material potentially unnecessary
- Audio quality requires improvement, as excessive background noise can be distracting
- Limited variety in scenarios for hands-on exercises, which may impact the overall learning experience
Related Topics
3460790
udemy ID
30/08/2020
course created date
26/09/2020
course indexed date
Bot
course submited by