Data Engineering using Kafka and Spark Structured Streaming (Udemy.com)

The course is well structured and has good details to learn how to use and set up kafka and spark. I requested itversity for access to their labs and they promptly granted me. I highly recommend the course!

Excellent course for learning kafka and spark structured streaming. Concepts have been explained very well. I would highly recommend this course for anyone who is in data engineer or any relevant fields.

This course is really awesome, I would highly recommend this to someone who want to excel in kafka & spark streaming. we get complementary lab access as part of this course which is really useful.

Extremely helpful course, I would highly recommend this to someone who want to excel hands-on in Kafka & Spark Streaming. Additionally complementry lab access provides an edge over all the other courses.

Architecture diagrams could be used to explain the placement of various components discussed and how they work together for solving a problem. And what is the main problem it solves, how performant or scalable it is could ve been discussed.

All in all, a decent course, especially near the end after I got used to the teaching style. Parts that could be better: - the speaker's accent is very strong and also does not get transcribed properly in the captions, which I needed to use because the speaking was not nice to listen to. Also, kept repeating filler words such as 'nothing but' which gets transcribed as well into the captions which is hard to read and not ideal; - teacher spent a lot of time repeating things and jumping from written code, copying and pasting, reading what he had written in jupyter notebook instead of actually teaching, so the presentation was not great and the teaching of concepts suffered as a result; - would have been nice to get a better overview of concepts (instead of repeating same code over and over) and how different parts and levels within each tool (spark, hive, hadoop, kafka, etc) interplay with one another; - would have been nice to have different example code. was cool when he got data from github, but not when he kept re-using generated logs as an example. - several times in the intro and beginning repeatedly said to give 5 stars or quit, which is ridiculous. also means that the ratings are skewed and not fair. I would give the first half of the course a 3 star rating, and 2nd half 4 stars.

Good course, the reason for 4 stars is because, the content is outdated for one thing, for instance, while creating postrgres image using docker, following the instructions of the video/ material did not work. I had to research quite a lot and then checked the Q&A to find that the version 13 image of Postgres should be used to create the container. There are many such instances where the content feels outdated as these were recorded back in 2021. The other reason for giving 4 stars is the course does not focus much on explaining why the commands are being run or what they mean, instead, the instructor provides the instructions just to run the commands. Other than these issues, the course is pretty good.

Streaming is really evolving more and more in DE landscape and this course is a really good. The complimentary lab access, keeping in mind, the installation difficulty, is really thoughtful and helps you to start faster. The only improvement may be I can think of, adding some real life streaming architectural patterns for discussion, adding some note on Confluent and ksql maybe. But overall really good.

Those who are looking for structured Streaming with kafka, should take this course and good response also i am getting. Thanks DurgaSir jii. Please add the content to sink with any db like Cassandra. already requested

Absolutely loved this course. Instructor is well prepared and able to explain really well. A huge positive is that it gives you access to Free lab where you can do your practices. Highly Recommend. Will prefer for future courses as well. Thanks!