Spark Streaming - Stream Processing in Lakehouse - PySpark (Udemy.com)

I really enjoyed all your courses and you are one of the best instructors on Udemy. I registered for one course, realized the depth of your knowledge and exteperise, and your way of structuring the lectures to break complex topics - and became a fan. I registered for all your courses! thanks Mr Pandey!

The course covers all the essential topics and provides a good foundation for beginners. However, the project explanations could be more detailed to help learners better connect the concepts. Also, the codebase could use an update to align with the latest Databricks Free Tier offerings. Overall, it’s a valuable course with room for improvement in clarity and relevance.

Best course for spark streaming. In depth explanations with good examples. Prasanth sir courses are must watch to learn pyspark in general. This is my third course and already enrolled for the next course. I am from mechanical background with zero knowledge in IT. Enrolled in this course for career transition and I must tell you I got good understanding of spark with the help of his courses.

Very well structured and all the basic concepts are first covered clearly. Structured streaming is a very complicated thing and spending a whole chapter to understand the problems associated with it and how to solve for it was very useful. This is brilliant conceptualization of how best to teach the subject.

Been following this tutor from the beginning of my PySpark Journey. One of the very few courses where unit testing was taken seriously instead of just skimming through the main concepts. Very detailed explanation of even the minute topics has been discussed in this course. To the tutor, Kindly reduce the buzzing noise in the videos and the improve the overall Audio quality. 100% would recommend this course.

Prashant Kumar is a very knowledgeable instructor. I found the streaming aggregates section and Capstone project very interesting and useful. All the aspects of streaming queries are covered well with clear distinction with the batch processing concepts. This course is going to help me in my next career move as a Data Engineer. However I feel 22.5 hours is lengthy for this course, especially the introduction to Kafka and Old course content can be removed. Also move the Streaming joins content to the actual course catalog. It would be awesome to see this course to be around 12 - 14 hours. Thank you so much for the course.

Great course!. It is well prepared with clear and detailed explanation on the key concepts of Structured Streaming and its architecture. I agreed with other that this is one of the best courses on Udemy. It is practical. It propels my journey to mastering modern ETL application.

Hi Prashant, thank you for preparing the course. It must have take you a significant time. I must say I have especially liked come parts of old course, when you were describing all the streaming concepts without focusing on databricks, or unit testing. These woudl probably deserve courses on their own. I like the entend in which you have covered the streaming concepts and your course is a unique find in this regard. I hope I will see what else you have to share. Thank you again and enjoy your time, Martin

Prashant courses are always upto the industry standards which just does not increase the learning curve but also helps in cracking opportunities as per industry standards. Thanks a lot Prashant for these amazing contents , Keep creating more contents on Databricks projects, Big data analytics projects. Thanks again!!!!!!!!!!!!

This course is amazingly designed and structured. Each topic is designed with in relation to previous topic which is really helpful and understandable. The course helps you in many ways, 1. If you don't know the concept, the course helps you to understand and implement in depth. 2. If you know the concept, it will be your excellent refresher. 3. And in both cases, it will make you knowledgeable to design and implement the Spark Streaming in your projects. 4. Capstone project helps, new people to understand how to put all concepts together to solve real world problems. 5. Also, this course will help you to clear interviews in DE regarding Spark Streaming and 6. It helps you to understand and answer concepts in Databricks certification. Overall, it is a must have course in your bucket if you want to grow more in Spark Streaming. Excepting more such content from Prashant Pandey, on the space of Data Engineering and Databricks Architect.