Like the comments of "you won't remember much of the details." So true! The reality is that I use PySpark because company IT wants us to use that! Feel relaxed and let go the syntax knowledge and really focus on how to leverage it in modeling data prep.

You have done a great job in de-mystifying PySpark. Kudos to your effort. Looking forward to more such content.

The ONLY PySpark Tutorial You Will Ever Need - the video justifies the title. Amazing !!!

Such a concise and direct way of explaining things for people on the matter, congrats.

This video is better than going through the long playlists to get the same information. Thanks for providing crisp information.

Best ever quick and easy start video which compiles almost everything I needed. Thanks a million

Brilliantly covered the essence of PySpark in crisp & clear manner ... Kudos to you man!🥳 Thanks for the efforts.🙏 This one time KZfaq suggestions algo did a perfect job 🤗

yep this TRULY is "The ONLY PySpark Tutorial You Will Ever Need." Not a clickbait at all. BIG THANKS !!

Just 5 mins into the video yet it feels so much soothing and uncomplicated to watch this video . Great job buddy! Even if you made a full video covering all the full 4 parts including streaming and graph x I would still watch it because your explanation was very pleasant to watch!

It is really The ONLY PySpark Tutorial We Will Ever Need.

Great video, with proper and meaningful structure and explanations that make sense. Subscribed!

Really good content. You have such a pedantic approach which to me has been super informative. I wish you would do a lot more on data engineering concepts in the future. Keep up the great work

Amazing, 10/10 explanations and overview especially if you work with dataframes all day

Easiest and straintforward explanation I've seen. Thanks

Great summary of Spark! Fantastic job Moran!

1:39-1:55 this is gold for me to understand PySpark better thank you for going into such detail.

Moran, this video is everything!! You did an excellent job

This is realy "The ONLY PySpark Tutorial You Will Ever Need" - Thanks for the video! IL on the map!

@Moran Reznik, What a awesome quick video. Loved it. Next best thing is clean nice notebook you provided. Keep Rocking !!

Thumbnail description is completely aligned with the video content. Thanks

your explanation is so good. More on Pyspark please.

Simple and essential concepts explained smoothly.. Looking forward to more videos

i appreciate your efforts and simple way of thinking. This video helped me a lot to clear my concepts of Pyspark

Great ! Got a good overview before a deep dive as required !!

Amazing information in such a short video. Keep posting videos on Big data components

Your video was very helpful, I'm still learning and getting the hang of it still. I'm into House and EDM. I look forward to seeing more of your

You saved my Pyspark exam of today! Thank you❤

Very informative and concise. Thanks a lot.😊

Please make more such videos.. I think that in today's fast pace life.. this extremely helps people.

This is really really helpful for beginners like me. Thank you very much.

Before watching, I thought off title as click bait. Its not, Video covers a lot. Thanks

Thank you for this video. PySpark is becoming clearer

Thank you so much !!!! Honestly I had to pause the video often to make notes. I like it because you covered many topics but you go straight to the point without talking too much. Very interesting content. Please share videos on PySpark analysis. Just something for beginner or maybe Kubernetes or AWS. I really like the way you explain things. Thank you

Great video. Thank you for your job!

really really enjoyed ur video. you should really make more , you would do amazing!!

Nice explanation with examples

Beautiful ❤️❤️😍.. Such a master piece my pal.

Nice video. Btw, Comic Sans in the titles was a nice touch :)

Thanks a lot for this great intro man, very clear :)

Awesome tutorial. Thanks

I wish I found this 1 week back, I would have saved 7 days of googling efforts for my spark command learnings!. Your video deserves more views, Moran... Thanks for your efforts .. keep up the good work

Nice content... Covered many concepts

Brilliantly explained!!!

Very useful! Thank you so much!

Thank you so much and yes its very helpful for quick reference.. keep it up buddy..

Awesome explanation dude 😊

Great refresh tutorial

amazing job ! thanks

Fantastic work 👌🏻

wonderful! Looking forward to an video about PyFlink that we will ever need sincerely~~~

Thank you for the video!

Excellent content!

greatly covered!!! pls make next part with partition, colease, optimizer, delta tables, batch and stream process

title says it all. helped a ton

Good stuff🎉

Thank you so much!

very good crash course I must say

Excellent intro

Love it!!!!

good job thank you

Thanks man, i was lost about where to start before your video. Please make a video on pyspark project(s) for beginners.

excellent

Very good video. Please run sound filter to remove mouth noises. Thank you

notebook is failing on code "df.select('Age').show(3)" because the headers are showing as c1, c2, c3, c4, etc... even though there is "header=True" when reading the csv... weird

Amazing

Hey.. Very consise and good info.. Just if I may give one suggestion.. Add your video on the corner or user mouse pointer atleast to drag the viewers attention... Because only seeing screenshot of info tends to distract the focus from the video...

Great video - Do you have any videos on Windows Functions?

Thank

Nice. Can you please create a video on How to create Dagscheuler, then use Machine learning for scheduling job task for each node in pyspark. It would be nice if you write or make a video on implementation of coding part.

How do you use pyspark with a database?

7:35 I would love to know the comparison between Dask and PySpark as I know Dask is built to be like Pandas in syntax, but it scales out to use the entire cluster in the environment and from my understanding that's what PySpark does as well. so why should anybody use/learn PySpark over Dask if they already know Pandas if they effectively do the same thing?

רק התחלתי לראות אבל אני כבר מתרגששש

subbed

Simple Awesome :)

like Hadoop. CUDA do the same but in diffrent area...also Kubernetes...in another area..

7:52 Could someone explain this image?

Has any one work on IDS2018 data set in sprak sql ?

Nice without water

How to install pyspark

where lambo

Are you Italian? Is the accent Italian?

great , very helpful , thank you , just one thing are you chewwing while making this vids ?? hahahaha

I receive the following error: java.lang.IllegalAccessError: class org.apache.spark.storage.StorageUtils$ when trying to run spark = xxxx Researching on Google suggests its an issue with the version of Java JDK I'm running. I've tried 18, 11, and now 8 and run into the same issue. Anyone know the solution?

hi moran i have trouble while saving my data can you help me ? i use jupyter hub and it's says encoded.write.format("csv").mode("overwrite").save("/home/jupyter-18522360/sparrow/dataku_encoded.csv") AnalysisException: CSV data source does not support struct data type.

Anyone can help me on create sparksession? it always return : FileNotFoundError Traceback (most recent call last) Input In [3], in () ----> 1 sc = SparkSession.builder.appName('test').getOrCreate() when i hit getOrCreate() Thanks in advance!