PySpark Tutorial | Full Course (From Zero to Pro!)

[@DipakChavan-g7l]

I always wanted that type of long videos everything in one go, one video, no need to see here and there what to learn and what to not, these contents are awesome, obviously other data engineering videos also appreciated, but in one go video means it's focused content. Thanks Ansh for this types of contents. Really appreciate that. Hope ur channel skyrocket.

[@AnshLambaJSR]

Thank you so much for your kind words. I'm happy that my content is helping you a lot. I believe that your statement will come true (haha!). Happy Learning!

[@AnshLambaJSR]

Pls LIKE and SUBSCRIBE ❤ I have worked really hard to create this video so that you can learn for FREE :)

[@Survivealone-ei8xf]

Definitely 💯

[@VenkateshVenky-xu9pi]

5 hours class 5 hours adds , just f**king irritation u can remember in the last

[@Zabey2001]

Ansh, no words to express the gratitude for the value you are contributing to the community!! Learnt so much in last couple of weeks, really amazing explanations and the motivation to walk alone.

[@AnshLambaJSR]

I am happy that you learnt a lot from my videos. Happy Learning :)

[@mohitawasthi7866]

I have been working in the Azure platform for quite some time (~10 years). I found this channel by accident and I was pleasantly surprised to see the amount of passion you have to create quality content. Moreover, your enthusiasm shows how much you love data and teaching in general. Kudos to your effort, wishing you the best.

[@nik54610]

Community needs you bro, you will be the reason for many people success stories

[@AnshLambaJSR]

That's so sweet of you. I hope I will contribute a little in people's success stories by sharing the knowledge. Happy Learning :)

[@Software_Bathukulu]

​@@AnshLambaJSR i have never seen this level of awesome course but keep doing airflow as well 🎉🎉

[@RohitMishra-qe3uo]

A course with everything feels illegal to be free. Kudos to the effort you have given for this beautiful course, due to my office schedule it took me 2 weeks to complete this course and I am proud of it. Thank you Ansh for such a great resource.

[@AnshLambaJSR]

Glad you completed this PySpark course and learnt a lot :)

[@nik54610]

Bro, I just completed the video, I'm just a beginner in python and sql, but I completely understand each and every topic you explained. I learned window functions after watching your video and practiced in sql as well. I was practicing along with you by Not just watching. It took me 6 days by spending 2 hours a day to complete this video with hands on practice. This is the only course i completed fully. I didn't watch any other course completely. You did magic. Thanks for making this video. I was disappointed in the end that we can use sql while having same performance as pyspark 😂 but good to use sql in spark. You are amazing. God bless you bro❤

[@AnshLambaJSR]

Aww.. thank you so much for your blessings 😀. I am so happy that you completed the project and learnt so much. And, we do use PySpark 90% of the time and not SQL, so you are good, Haha!

[@nik54610]

@@AnshLambaJSR oh really, thank you 💥

[@lipsa2]

Phew!! Done with the 6 hour long video! I must say your work is commendable. Please post more videos. Really enjoying learning from your videos.

[@Shreekanthsharma-t6x]

Absolutely loved this PySpark tutorial! Thank you for such a great resource-looking forward to more content from you!

[@Shreekanthsharma-t6x]

I was wondering if you could make a video on how to perform upserts in PySpark, especially when working with subqueries in MERGE or UPDATE statements. Handling correlated subqueries and updates with complex joins is often tricky. Would love to see your insights on optimizing such operations!

[@lasyaganesuni7898]

Much needed video for my preparation. I tried many other resources, but everything felt scattered and confusing. I really appreaciate how you summed up all the content in this video and the way you explained was very beautiful. Hope your channel gets more recognition. Thank you Ansh, looking forward for more videos.

[@AnshLambaJSR]

Glad you liked it. Happy Learning :)

[@momithachiluveru9121]

Never knew that I could finish a 6 hour video in 1 go!! Great Content, loved it🔥

[@AnshLambaJSR]

Glad to hear that you finished the whole video in one go. Happy Learning :)

[@premsaikarampudi3944]

I did complete the course - thanks for the content but what adds even more value is understanding the architecture of Spark in depth and all it's nuts and bolds including RDD's, it might be out of scope for this video but will def adds value

[@aliensamv3997]

boy .. i guess yt algo is really loving me.... its the 8th video that I found back to back in 24 hours that will be game changer for my plan ...

[@AnshLambaJSR]

When you actually want to learn something by heart, God will be there for you to provide the best resources. I am happy that you found my content useful. Happy Learning :)

[@moyeenshaikh4378]

bro tell me also please

[@DataScientistRahul]

Brother please share your all 8 video links here as well. Please bro please.

[@pulkitgupta3684]

Hey, can you pls share the videos link?

[@sivaprasad8639]

I just wanted to take a moment to express my sincere gratitude for the amazing PySpark content you share on this channel. Your tutorials have been an absolute game-changer for me! 🌟 When I first started learning PySpark, I felt overwhelmed, but your clear explanations, practical examples, and step-by-step guidance made it so much easier to grasp. Thanks to your videos, I not only understand the concepts but also feel confident applying them in real-world scenarios. Your passion for teaching and commitment to creating high-quality content truly shine through. You've made a lasting impact on my learning journey, and for that, I can't thank you enough. Keep up the fantastic work-you're inspiring so many of us to grow and succeed. 🙌

[@AnshLambaJSR]

I am glad that you learnt a lot from my video. Check out other videos as well :)

[@ajitchavhan5473]

I have seen entire tutorial video and also executed all the functions mentioned in video. I loved it. In single shot everything has been covered. It took me 6 days to cover all the stuff but now I am confident that I can do much better in spark interview. As a gratitude apart saying thank you very much, I have liked and subscribe your channel 😊

[@AnshLambaJSR]

Thank you so much for your positive feedback on my PySpark course :)

[@lakshmiprasadpresident4462]

Vote for Aws airflow

[@AnshLambaJSR]

Will create a dedicated course on that too. I am happy that my teaching is good enough that you guys are demanding more. Subscribe and share it with others :)

[@abhishekn786]

Eagerly waiting for that😅​@@AnshLambaJSR

[@C_the_Skylight]

Please bring the Airflow in One video

[@koppinenikeerthana5186]

Please bring dedicated course in GCP using pyspark

[@capturingmylife001]

Airflow please

[@sparshraj29]

This video shows how complex things are made easy and makes the learner not hesitate in learning new topics. Exposure to databricks is the biggest plus as it makes the user get comfortable with the environment. Great video brother!

[@abhishekshah581]

Just completed the tutorial. Really good, focused and to the point. Loved the long videos always. Keep up the good work bro. Learned a lot from your videos

[@AnshLambaJSR]

Thank you for your positive feedback. Happy to hear that you completed this PySpark course. Happy Learning :)

[@shaktidharmahapatra624]

Completed the course in one week. Thank you for the session, learned a lot.

[@AnshLambaJSR]

I am happy that you learnt a lot. Check out other videos to upskills yourself

[@chhayadongre3956]

Mindblowing ..one stop solution bro !! Thank you so much !! Please create such type of end to end solution series which will hep your community.

[@ashwamidalvi5855]

This is excellent!! One of the best resources I have found until now. Kindly make some videos on DSA prep specifically for Data Engineering interviews and how to Leetcode to clear those. Thanks!

[@priyeshudawat]

As always great content bro, didn't felt like it was 6 hrs video. Thank you.

[@shristikhanal7666]

i am really fell in love with your video, you are explaining properly, it's really fruitful for me thank you bro. keep going

[@AnshLambaJSR]

Aww.. That's so sweet. I am happy that my videos are helping you. Happy Learning :)

[@soundaryakv668]

Hey Ansh, the way you broke down each topic and explained it made learning PySpark so much easier and enjoyable. You have an incredible ability to explain complex concepts in a way that's easy to understand!!! Your teaching style is so engaging and interactive. Keep up the good work👏👏, Thanks a ton bro❤

[@AnshLambaJSR]

I am pleased to hear this :) I am happy that my PySpark course helped you to learn a lot :)

[@whoispriyanka1163]

Okay guys !! i am starting this journey towards pyspark !! i will drop a review once i am done with this video and the feeback too !!

[@AnshLambaJSR]

I hope you will find this video useful. Happy Learning :)

[@sanilkumarbarik9151]

How's your experience so far Priyanka?

[@ayanchakraborty76]

More than one month has passed still you have not completed it? 🤔

[@anabelberumen]

What happened girl?

[@SumithTina-p9c]

Amazing video. Explained every single detail step by step made easy to learn. Never get bored even a single minute of this long video. Thank you so much for your time and effort

[@AnshLambaJSR]

I am happy that you found this PySpark Course helpful :)

[@SKAV93]

Very well put together and delivered.This was brilliant mate.You are a master teacher. Thanks a lot

[@ZahidKhan-sq8hl]

One of the best videos of PySpark..Thank you for such a great resource.... 😊

[@AnshLambaJSR]

Thank you so much :)

[@MexiqueInc]

I take my hat off sir , great explaination of pyspark . Not all heroes wear capes", already watched ADF tutorial. And will continue to see every video, many thanks for your contribution to the DE community.

[@Vinay-m9u3r]

Love the way you explain complete Pyspark. Thanks a lot bro...!!

[@AnshLambaJSR]

Happy that you loved this PySpark course video :)

[@epictube5045]

Amazing course, gonna watch all your courses now!

[@Falcon-dt6li]

Thanks a lot Anish for your efforts and selfless service

[@sankarkarthic8876]

Really loved the video presentation and content bro... After an long time I see such an good quality content for free..

[@Avadhut-nd9yz]

Nice content bro. Better presentation than many paid courses

[@AnshLambaJSR]

I am happy that you found this video useful and found better than paid courses:)

[@Rajjhala-v3f]

To be honest, I was waiting for the pyspark course on YT .... after seeing it... that's great channel for zero to hero... I'm very excited to learn pyspark, Adf and Databricks.... thank u so much for putting that much efforts. 🎉😊 U r gem sir....

[@ManvithaTangella]

This did increase my confidence!! Thanks Ansh

[@AnshLambaJSR]

Happy to hear that :)

[@Rohitchauhan-kg7sp]

Just now completed with full tutorial, and I want to say bro you're amazing . This video was amazing you covered everything in just one video 📼. In Full video I never felt bored because of your teaching style bro. Thank you! . Please keep uploading the videos.

[@AnshLambaJSR]

I am happy that you completed the video and you like the way I shared the knowledge. Pls subscribe and share it with others :)

[@KuunalGaikwad]

It's really one stop solution for all your pyspark related questions,queries doubts Ansh really put great efforts to make this video and it really helpful for anyone who learn to know or get any kind idea of Pyspark, great job Ansh God bless you Ansh

[@AnshLambaJSR]

I am happy that you loved my video and it helped you learn a lot in PySpark.

[@abinathregu674]

I have seen a lot of videos but really your content looks something different and better from others. It feels easy, fun and at the same time learning. Really good content !!.. I feel motivated to work more in the pyspark. Kudos for your great effort bro!! Keep posting videos like this and help our data community.🎉

[@AnshLambaJSR]

Thank you so much. I am really happy that you learnt a lot and feel confident while working with Pyspark after watching this PySpark Course :)

[@basabsaha6370]

Thank you from the bottom of my heart♥️ it's really an amazingly crafted tutorial, no one teaches so smoothly and u taught everything very slowly I understood each and every concept. We are always with you. Carry on 😁👍 And do such long format videos on other topics like sql, airflow

[@AnshLambaJSR]

Thank you so much for your amazing feedback :) I am happy that you loved my content. Pls subscribe and share it with others :)

[@athiranarayan3185]

34:40 what is a job? In the DAG visualisation it showed scan text and wholestagecodegen. Could you help in understanding what jt is? Also why are there 2 jobs when we executed 1st line of code and a single job when we displayed it? 43:34 okay so schema is nothing but “datatype” and inferSchema is that it will go through the first few entries of the table (except the heading coz we have given option heading true) and then it will assume what datatype it is. Also we can explicitly mention the schema. Which is better? Can yu give some scenarios where these could be used?. Also it says nullable = true. What could that be? Does that mean the entries could have null values? 48:42 when we created the simple dimple our own schema, is it necessary to mention schema of other columns as well? Do we have something like changing particular value in an array to just change schema of our required column? 1:18:47 can we do it like col(‘Location’) ==‘Tier 1’ || col(‘Location’) ==‘Tier 2’ ? 1:21:58 what is the difference between alias() and withColumnRenamed() ? sorry that i am pouring in with a lot of questions, this is my 1st pyspark tutorial

[@connectwithanandsuresh]

You have come up once again with the best content in the internet ❤ Thank you so much for making the valuable contents and sharing it for free ❤ Please do not stop making contents like this and we are looking for more conents. love you brother ❤ Few suggestions: 1. Full course - Azure Datafactory 2. Full course - Azure Synapse 3. Full course - Python 4. Full course - SQL [Solving some medium/complex questions in SQL and python as well in the course] The reason I am including python and SQL along with some tough questions because we as a beginners finding it hard to do this and easier to learn from your teaching. Thank you again brother for the wonderful video. Cannot wait for more videos ❤

[@AnshLambaJSR]

Thank you for your positive feedback. I'm glad that you love my content. Will make more videos on these topics as well. Stay tuned :)

[@syamtunuguntla]

Brother Lamba Ji, You absolutely made my day with this video. Great Respect for you from my heart 🙌

[@AnshLambaJSR]

I am glad you loved the video :)

[@snehaprasad7919]

Such a wonderful tutorial!! Thank you so much for your efforts.

[@LapiLapil]

Your dedication get 200/100. Keep it up bro We will support you 💪

[@AnshLambaJSR]

Thank you so much for your positive feedback. I'm glad you liked my content and dedication. Stay tuned for more :)

[@LapiLapil]

@AnshLambaJSR sure bro

[@sriramagiri-v2z]

You are awesome found one gem. You made my coding easier in the first 30mins itself kudos to you bro

[@AnshLambaJSR]

Thank you so much for your kind words :)

[@jebarajantoni7531]

Awesome bro, I've finally completed the long session , worth content , thanks a lot

[@AnshLambaJSR]

Glad to know that you completed the video :)

[@swadeshpanda7679]

Bro seriously very well explained and thanks a ton for uploading these types of videos . Waiting for more such videos from you . Also glad if you teach some tools specific things like how to use docker and kubernates

[@AnshLambaJSR]

Thank you for your kind words:) Happy Learning!

[@rajeswarynadarajan8347]

Thank you so much bro !! i've just completed your 6 hours classes. Really meant me. I've already completed Azure Data Engineer Fundamentals and now completed with pyspark . my next target is to complete ADF. Love You !!

[@AnshLambaJSR]

Good to see your progress. I am happy that you are learning a lot from my videos and growing in the world of Data Engineering. Happy Learning :)

[@juliaofaria7965]

Hello @Ansh Lamba, I studied this entire secction, and I just want to thank you beacuse I have leaned a lot of Spark. I would like you to bring out other sections about Spark Streaming and MLlib.

[@gudivadachandragupta742]

You are really great bro, actually I'm from backend api background, new to the data field... I got a hope on the data field only because of you. I want to search for data engineer roles now.

[@eduTT-t6t]

Thank you for refreshing my Python knowledge. I’m also suggesting this video to my team for a quick learning experience. I would kindly request you to consider making some videos on AWS as well, if possible.

[@AnshLambaJSR]

Thank you for your positive feedback. Sure, stay tuned :)

[@ssshwanth]

Hey Ansh, I have struggling to learn the Spark Data bricks. most guys are really launching their courses it was nothing but shit. you are doing it for free. Thank you

[@AnshLambaJSR]

I am glad that you liked my video on PySpark :)

[@keyvansalehi-ls6bu]

great contents . really appreciate it. follow all your course bro one by one . just finished two of them and ready to take next one... keep moving mate....

[@AnshLambaJSR]

I am happy that you are consistently learning through my videos. Happy Learning :)

[@Harshad1522]

"Thank you so much for this amazing tutorial! The way you explained everything, especially with the examples, made it so much easier to understand. I really appreciate the effort you put into creating this content. Keep up the great work 👌.

[@AnshLambaJSR]

I am glad that you found my content useful. Pls subscribe and watch my others videos to gain more knowledge :)

[@AmitKumar-gw1he]

Thanks a lot bro , Enjoyed the complete course.

[@praful701]

Bro you really are a rising star in the data engineering domain🌟 Love your content

[@AnshLambaJSR]

That means a lot. Glad to see great support from the Data Engineers :)

[@Yk-zs6sh]

Hey Ansh, The way you are teaching is amazing man. This made me get more intrest to learn. I hope you get more recognition. Please make more videos on data engineering. Please do videos on all the subjects and topics of data engineering. Thankyou thankyou so much Ansh. I really love your content man.❤️❤️ Small request. Please do videos that focus on cracking data engineering interviews.humble request Ansh. You are teaching like a brother.

[@AnshLambaJSR]

Thank you for your kind words. I am happy that you love my content and helping you to grow in the Data Engineering World! Happy Learning :)

[@harshjaiswal1059]

Love this love this love this, absolutely fantastic tutorial.

[@datapav]

superb thank you.... please upload long videos like this about every single tool or platform separately like airflow, kafka, etc..,

[@AnshLambaJSR]

I am happy that you loved my content. Sure, stay tuned :)

[@ibrahimatthariq3406]

Hello, thank you for making this video. I will watch it and learn it by this weekend 😁. Can't wait for your next video

[@AnshLambaJSR]

Thank you so much. Stay tuned for new video on every Sunday.

[@ranjeetgade6158]

Good 👍, (details with real time examples ) thank you for sharing knowledge ❤

[@AnshLambaJSR]

Thank you for your positive feedback. SUBSCRIBE to stay tuned for more insightful content :)

[@mani0536]

Im going to start today.. it looks really awesome

[@AnshLambaJSR]

That's great. I hope you love his video. Happy Learning :)

[@chandanprasad4634]

Thanks you such for making this full course, hats offs to you 👍🏼

[@AnshLambaJSR]

I am happy that my hard word is paying off by seeing these appreciations :) Pls subscribe and share it with others !

[@rajaperumal1188]

Well explained, thanks Highly recommending for others

[@AnshLambaJSR]

Glad to hear this :)

[@dhirendramaurya5361]

Best video of Pyspark with full explanation ❤️ Please make Snowflake video

[@AnshLambaJSR]

Glad you liked it :)

[@chiragbhutada2791]

One of the best resource for learning pyspark .

[@AnshLambaJSR]

Thank you for your positive feedback :)

[@aliyaKhan-zh6bk]

Thank you so much for this great video . please make more videos on data engineering for beginners

[@AnshLambaJSR]

I am happy that my video is helpful to you. Yes, lots of insightful content is lined up. Pls subscribe and stay tuned. (New video every week)

[@Learnwithshreyasm]

Hey Broo !! It was really such a awesome video where we can learn a lot of concepts related to pyspark, I'm really waiting for upcoming videos which are related to azure data engineering.. All the best and thanks a lot 😊

[@safizaidi2787]

Hi Ansh, your content is gem that surrounds the data engineering domain. One suggestion for the future topics is "dbt". It will be great if you can accumalate dbt content along with END-to-END project with the same manner as previous.

[@AnshLambaJSR]

Thank you for your kind words. I am happy that you love my content. Stay tuned for more!

[@naren06938]

It's really great video....Much helpful to practice Maximum PySpark commands, but its slow & Lengthy even at 2x speed also

[@gkthecoder9589]

I have complted the full video, Thank you very much, I appriciate for your dedication ❣🥰🥰🥰🥰🥰❣

[@AnshLambaJSR]

I am really happy that you watched the full video and found it useful. Pls subscribe and share it with others. It will help me to grow :)

[@sowmyabalu8237]

Thanks for the Video , its very useful for me in my data engineering journey ,kudos to your teaching method where everyone will get involved with you for the whole session without distraction , can you make videos on git and github as well in real time scenario.

[@AnshLambaJSR]

Thank you so much for the positive feedback. I am happy that you like my way of sharing knowledge (teaching). Sure, stay tuned :) Pls subscribe and share it with others :)

[@vabz_parab]

Thanks for such a nice full course. You can take this as a request or suggestions, but Spark Architecture should be little bit more lengthy. Bcoz people generally lacks here. Maybe some examples and explanation of Spark Architecture for standalone, YARN, etc will be helpful for learners.

[@AnshLambaJSR]

Thank you for your positive feedback. Stay tuned :)

[@bhupendrakhade5123]

This is awesome....one of the best content...really thankful...

[@rajatpathak4499]

very good tutorial for some one interested in learning pyspark. If you can make a similar video on airflow which is commonly used with spark that would be great.

[@pranithagunukula4995]

Nice explanation awsome content from scratch and requesting to Upload a video about kafka tool and project on that

[@AnshLambaJSR]

Thank you so much for your kind words :) Stay tuned !

[@WaseemPashaZ]

Great work much needed very useful 💯

[@AnshLambaJSR]

I am happy that you loved my content. Pls subscribe and share it with others :)

[@scoopgaming3773]

superb bro , keep going on brother

[@AnshLambaJSR]

Thank you so much for the positive feedback :)

[@vivekkumargupta4515]

Great explanation. Request : Videos on AWS data engineering related full fledged videos too.. Liked your explanation 😊😊

[@Anjalipalakodeti]

thankyou so much Ansh , really appreciable your hard work and dedication well done dear. please do python with Jupiter .

[@AnshLambaJSR]

Stay tuned :)

[@harshithnp6449]

Super precise content:)Thank you!!

[@AnshLambaJSR]

Happy Learning :)

[@Grushenka_Nozdreva]

saving so i can watch later < 3 thank you for your content

[@pankajnegi9278]

Awesome content worth a million Thankyou ❤❤❤

[@ayanchakraborty76]

Ansh I completed your adf video and also databricks (old one) currently watching this one.... Any complements is less for you because of how you teach ❤❤❤ Can you please tell me what skills and tools I need to learn to become a successful azure data engineer apart from adf data bricks and pyspark (currently I am working in a mnc with less than 1 year of experience and I want to switch to a company with data engineering) please help bro ❤❤

[@AnshLambaJSR]

Thank you for your kind words. I would suggest you to build more and more projects and tackle more real-world scenarios :)

[@data-w6o]

kudos to the efforts bro!

[@AnshLambaJSR]

Thank you so much for your kind words. Pls subscribe and share it with others. Happy Learning :)

[@sanketsrivastava]

thanks Ansh for creating such content..Keep it up!!

[@AnshLambaJSR]

Glad that you are learning and growing through my courses. Happy Learning!

[@mohd.swaleen9224]

Ansh bro again I need to say big thanks for your efforts I know its not worth it to just say thanks but seriously you are doing great ❤️ ❤❤❤

[@SanaAfrin-z4i]

I just started this course and you’re explaining it very clearly! Shall we continue this course without knowing python?

[@arshaddeshmukh7166]

BEST BEST BEST VIDEO JETANE BAR BEST LEKHU KAM HAI THANKS

[@AnshLambaJSR]

Glad you liked it:)

[@RajGupta-d6g]

sir can you also teach us about all the theory concept of spark like brodcast join etc.

[@DECOY_REYNA]

one of the best pyspark video . can you make a video about complete azure data engineering roadmap

[@AnshLambaJSR]

I am glad that you loved the video and found it useful. Pls subscribe and share it with others :)

[@Hemanthkumili]

Tq u for teaching pypsark in effective way 🙌 tq u bro

[@shivpatil-bm1nr]

one of the best video in youtube ..it cover maximum topic

[@AnshLambaJSR]

That's so sweet. Thank you so much for your positive feedback. Pls subscribe and Stay tuned for more :)

[@connectwithanandsuresh]

Hi Brother - I have a query if you could kindly suggest? @ 2:43:11 -- The nulls value of Strings in other columns are getting replaced but the value in that is showed in this timeframe for column Item_Weight is still showing null. The only difference between both of our dateframe is, the column (Item_weight) is in double instead of string. Why the fillna doesn't work for non-string columns and how do we handle it? Could you please suggest?

[@AnshLambaJSR]

I am happy that you are learning a lot from my videos. You need to provide values in fillna of same data type (double). Watch the video for more details. Happy Learning :)

[@kushagrashukla5508]

This video is very helpful, thanks for sharing this

[@poonamhebare6348]

hey ansh i just completed this whole video and m really thankful for it. i request u to make video like this on python. thanks in advance broo

[@AnshLambaJSR]

I'm happy that you liked this PySpark course. Stay tuned :)

[@ABQ...]

Thank you for the precise video, it’s exactly what I was looking for! Are you planning to create a dedicated Databricks tutorial, or is this 6-hour+ content enough?

[@AnshLambaJSR]

I am happy that you found my video useful. Dedicated video on Databricks on the way. I am working on it. And yes, this video will be pre-requisite for that. Stay Tuned and Happy Learning :)

[@ABQ...]

@@AnshLambaJSR if possible include Unity Catalog thanks

[@AnshLambaJSR]

@@ABQ... Thank you for your suggestion. Will add Unity Catalog in my upcoming videos :)

[@Lusid_yt]

good explanation for rank and dense rank.

[@aumithasan7736]

You know what, whenever I start watching your videos, I learn so much things and also get motivated as well. Thanks Ansh. I am looking for remote job in data engineering/analysis field where they chose totally work from home from any nationality. Can anyone help me?