Taming Big Data with Apache Spark 4 and Python - Hands On! (Udemy.com)

In my opinion, for each section, we were thrown lots of code snippets at once. I know that real-world programs have lots of different parts, but I would hope there would be a better way to guide us through each of the complex code snippets step-by-step in a way that could help us remember how to do those parts of the code in our own programs

I made it through the first 2 sections, and was able to easily understand the content as it was presented. The assignments were challenging but not impossible for me to complete. However, when I got to section 3 I realized I do not have enough experience with python or SQL, and many of the assignments and topics moved too fast for me to understand. I found myself constantly searching out explanations on google to try to keep up. I will be returning to this course after I increase my knowledge and understanding of those topics to a point where I can follow the materials presented here.

I am old by most students but I was thoroughly enthralled by this course. There was so much information in this course and it was presented in a very engaging and thorough style that I was more than impressed. Although being an 'Intermediate' Python programmer I did not find the Python in the course overwhelming, and I learnt a lot of Python herein. I am determined to take my training to the next level and will undertake further courses in Spark and Kafka to fill out my knowledge at well as repeat this course (perhaps 2 times) to bed in my knowledge level. I must thank Frank for this course and I will undertake more of your courses as well as buy your book in due course. Thank you again. John

Frank Kane has become one of the names that I search for when I'm learning a new technology or paradigm. He is clear, deliberate, and organized. This course is no exception. You will learn what you need to learn to get started in Spark and start making some really impactful data transformations. My only complaints are that the pacing felt slow at times. He explained and re-explained and re-explained at times, which isn't the biggest complaint especially if this topic is brand new to you. And most of the examples / homework were a bit simple for experienced developers, but again that is a highly personal gripe. Overall, very thoroughly and expertly covered Apache Spark and gave me everything I was hoping for out of the course. Thank you, Frank!

The course is helpful for beginners like myself. One can start writing code and experimenting with it . The Machine Learning part is lacking though. It should be covered in a separate course or redone completely. Spark streaming is also lacking. The HDD and Spark SQL sections are the most valuable. But I wish it had had more examples given the richness of Spark: https://sparkbyexamples.com.

This course serves as a solid introduction to the field of big data! The lectures are easy to follow, and Frank's teaching style is engaging. One thing I would have liked to see was a deeper dive into one or two more DataFrame examples, as it is the section I am most likely to use, and it was an enjoyable section despite its challenges! I'd be delighted to take another one of Frank's courses.

1) not able to get the code running for structured streaming in python, in section 7. I believe lots of student face the same problem. Especially error message of 'logs' folder, which we or I had created and by check multiple times using visual studio code. Moreover, if I were to read in the files by using sc.textFile. 2) more can be discuss with using pyspark dataframe. 3) I think will be best if there is a section on logging out the error message. On real case scenario, like python where we can use try exception error.

Great course to get you going with Apache Spark and Python! Frank's delivery is very thorough yet unpretentious; his explanations for each new concept that he introduces is down to earth and easy to follow. I took a similar course as part of Udacity's Data Engineering Nanodegree program and I am glad that I took Frank's course beforehand because Udacity's way of explaining it and the lessons they provided were unclear and confusing.

Course is really helpful when i joined this course I don't have any knowledge of spark but after completing the course. I am pretty much confident to handle some big data problem(data sets) using spark. If few more lecture(videos) with some examples on data sets(data frames) can be included in the course then the course then it will give additional benefits to the students. One more point i want to mention, I guess like me there are many working professional took this course to switch to big data domain. So if instructor can make or add some videos regarding how we can help this course to make spark our next domain will help everyone. If two three real time projects or scenario can be explained. So that we can understand exactly how different companies uses spark to process data. How exactly data comes and process. Exactly what is going under the pipeline. Waiting for dedicated course on Spark Streaming/Sql/MLLib/GrapX using python.

Best course on Spark! I understood each and everything in the course and found all the examples and resources very very helpful. Best way to start Spark! If you already have a knowledge about AWS EMR clusters then it is a bang on course for you! Excellent content and lecture delivery! Good work Frank!