What is Data Pipeline | How to design Data Pipeline ? - ETL vs Data pipeline (2025)

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  • เผยแพร่เมื่อ 8 ม.ค. 2025

ความคิดเห็น • 1.2K

  • @sivanagarajugamidi
    @sivanagarajugamidi 4 ปีที่แล้ว +434

    Master piece tutorial for data engineering

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว +8

      Thanks Siva

    • @indexima6517
      @indexima6517 3 ปีที่แล้ว

      hey! don't hesitate to follow us and to take a look at our videos which deal with the same topics :)

    • @vijayjayaram606
      @vijayjayaram606 3 ปีที่แล้ว

      @@indexima6517 I guess the videos on ur channel deals with more on, what do we do after receiving the data, analytics if I understand correctly.
      Here, its more of pumping the data from one place to a common place, and make it available for interested people down the lane

    • @gautamdeusa
      @gautamdeusa 2 ปีที่แล้ว

      @@ITkFunde It's truly one of the finest and easiest video to follow and relate. Many thanks. Will check other videos.

    • @lwhieldon1
      @lwhieldon1 2 ปีที่แล้ว

      Thank you for breaking down concepts that are difficult to understand!

  • @nathancarranza9860
    @nathancarranza9860 3 ปีที่แล้ว +623

    Something I’ve noticed is that Indians are good teachers and give great illustrations. Good work. Greetings from the US.

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว +73

      Thanks Nathan for making me feel even more proud of being an Indian thank you for the compliment means a lot brother 🙏😊

    • @fsfernandes20
      @fsfernandes20 3 ปีที่แล้ว +26

      Yes Indians like to make difficult concept easy

    • @nathancarranza9860
      @nathancarranza9860 3 ปีที่แล้ว +30

      I don’t use my real name online, but I do give real compliments.

    • @AutitsicDysexlia
      @AutitsicDysexlia 3 ปีที่แล้ว +13

      @@nathancarranza9860 Plot Twist: His real name was not Nathan. It was always Vladimir Putin.

    • @visionxx8656
      @visionxx8656 3 ปีที่แล้ว +14

      Can't believe Putin is from US

  • @ericdasse8174
    @ericdasse8174 3 ปีที่แล้ว +62

    That was great! As a data engineer in the making, this is the first time I have understood the concept of data pipelines so clearly. Thank you very much

    • @lukmanaliyu7386
      @lukmanaliyu7386 2 ปีที่แล้ว

      Hello Eric, I'd love to know how it's going for you at the moment with the DE track

  • @altamashjawad6691
    @altamashjawad6691 3 ปีที่แล้ว +66

    Loved this video, probably the best explanation on advanced data pipeline out there. If in your next videos, maybe create a playlist which can show each of the section of this pipeline in detail with little examples using Python or any language etc. Just an idea, brilliant work!

  • @MrBignate12345
    @MrBignate12345 4 ปีที่แล้ว +35

    Please continue to create videos like these! So easy to understand. Love your visual teaching style and the examples you give.

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว +1

      Thank you MrBignate...The aim is to simplify these techie jargons for everyone to correlate and enjoy learning.

  • @burimcakolli3400
    @burimcakolli3400 4 หลายเดือนก่อน +1

    Great Teacher!
    Used your Video for my teaching in switzerland

    • @ITkFunde
      @ITkFunde  4 หลายเดือนก่อน

      Thanks Mate, so happy to see it's helping 😊😊

  • @bigglesharrumpher4139
    @bigglesharrumpher4139 ปีที่แล้ว +10

    Great video - it seems while technology has advanced, the concepts of batch loads and real-time data is actually decades old. Back in early 2000's we controlled all ETL and real-time loads with Unix or DOS or SQL scripts that provided return codes for success/failure which triggered alert emails, and we had KPI's for Data quality, backing-out jobs for failed loads, and many other control systems. It just seems there are more 'out-of-the-box' software to handle these now as opposed to custom-built solutions. Great presentation!

  • @lcsxwtian
    @lcsxwtian 3 ปีที่แล้ว +3

    Simply one of the best videos on data pipeline on TH-cam. Deserves so much more attention.

  • @sy-vf4js
    @sy-vf4js 4 ปีที่แล้ว +34

    And again, another easy-to-digest video. Thumbs up!

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว

      Thank you 🙏🙏☺️

  • @alexanderulloaopazo6275
    @alexanderulloaopazo6275 4 ปีที่แล้ว +11

    Thank you! I had read a lot of papers about Data Pipeline, but I couldn't get the main idea. However, your video was so easy to understand!! Now I have a better picture of the complete process. Thanks again.

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว

      Thank you Alexander !!!

  • @MrBignate12345
    @MrBignate12345 4 ปีที่แล้ว +30

    Would love to learn more about how to choose the right frameworks/technologies for data pipelines and data warehouses/lakes for differing requirements. It would be nice to see a playlist of you designing or comparing solutions for an analytic stack.

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว +10

      Thanks MrBignate I have created various playlists one of which is " Crunching Data Series "...I will surely make more videos on similar topic. It is because of encouragement from audience like you which helps me move forward so thanks and really grateful for your positive feedback.

  • @mardiidking4030
    @mardiidking4030 ปีที่แล้ว +8

    This topic is so complex as a beginner, but I understand this explanation so well. I didn't even have to go back in the video or rewatch it to understand. This is beautiful.

    • @ITkFunde
      @ITkFunde  ปีที่แล้ว +1

      Thank you so much for your kind words and support 🙏🙏♥♥

  • @prabur4027
    @prabur4027 3 ปีที่แล้ว +25

    This would be the Best start for the Data Engineers.. A clear precise and short pictorial representation of Data Pipeline (Basics). Best video so far I had seen.. 😊 Thanks.. Much Appreciated.. 👍

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว +1

      Thanks Prabu 👍☺️🙏

    • @vivekjoshi3769
      @vivekjoshi3769 2 ปีที่แล้ว

      Do data analysts also use data pipeline creation in their jobs ? Or are they expected to know it ?
      Asking as some companies write knowledge of ETL in JDs.

    • @prabur4027
      @prabur4027 2 ปีที่แล้ว +1

      @@vivekjoshi3769 knowing any of the ETL tools would help in constructing the pipelines and they can visualize data flow from source to target.. Yes mostly it is used..

  • @squarehead6c1
    @squarehead6c1 4 ปีที่แล้ว +23

    Great intro, just what I needed. I learned the distinction between ETL and general pipe lines, and Kafka's place in the architecture.

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว

      Thanks Ronnie☺️

  • @ramakrishnachimmani7273
    @ramakrishnachimmani7273 4 ปีที่แล้ว +7

    Thank you. The best way of explanation. I was looking for this kind of video for long time. As a traditional ETL developer, I questioned my self, why people are using a term called 'Data pipeline' though we have ETL process and what is the exact difference between them. Thanks again.

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว

      Thanks Rama for your positive feedback !!

  • @juanpabloahumada3459
    @juanpabloahumada3459 2 ปีที่แล้ว +1

    Thanks!

  • @juliansihite1289
    @juliansihite1289 2 ปีที่แล้ว +8

    This guy really explain everything clearly and simple!
    Good job brother, keep sharing and contributing! You're a great teacher :)

    • @ITkFunde
      @ITkFunde  2 ปีที่แล้ว

      Thanks Julian 😊❤️🙏

  • @empressbelless3232
    @empressbelless3232 3 ปีที่แล้ว

    This is meant to be a compliment. I appreciate how articulate your English is with each word you speak! Easy to listen to!

  • @kenford3738
    @kenford3738 4 ปีที่แล้ว +6

    Great job explaining the difference between Data Pipelines and ETL.

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว +1

      Thanks Ken 🙏☺️

  • @arunachalampalani4321
    @arunachalampalani4321 ปีที่แล้ว +1

    Couldn't have asked for more. Very well explained, Thank you mate.

  • @brentcos9370
    @brentcos9370 4 ปีที่แล้ว +4

    Very informative, especially for a non-computer science guy like myself. Thanks!

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว

      Thanks Brent that is the essence of this channel - Making I.T. interesting for everyone.

  • @hasmilaomar5562
    @hasmilaomar5562 3 ปีที่แล้ว +1

    It is good that u explain the concept of data pipeline by referring to water pipeline. So much easier to understand and remember. Thank you for your video!!

  • @K0n5tant
    @K0n5tant 4 ปีที่แล้ว +5

    Your way of explaining these concepts is excellent, thank you!

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว +1

      Thanks a lot

  • @ramakambhampati5094
    @ramakambhampati5094 ปีที่แล้ว +2

    You are a real "Data Pipeline Spiderman".... fantastic instructor..please share more videos....thanks

    • @ITkFunde
      @ITkFunde  ปีที่แล้ว

      Thanks Rama ☺️☺️

  • @chocochipbananasplit
    @chocochipbananasplit 4 ปีที่แล้ว +3

    I got more out of your video than reading 5 articles on the matter! Your content is great!

  • @rajguru1998
    @rajguru1998 4 ปีที่แล้ว +1

    Finally understood the pipeline in 10 mints... thank u

  • @dhritimanbnrj
    @dhritimanbnrj 3 ปีที่แล้ว +12

    best productive 10 minutes of my life.

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Dhritiman for this super comment you made my day 🙏☺️

  • @othmanbelmouzouna3893
    @othmanbelmouzouna3893 3 ปีที่แล้ว +2

    Very good tutorial with valuable explanations. Thanks.

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว +1

      Thanks Othman

  • @Gridblue
    @Gridblue 2 ปีที่แล้ว +3

    Thank you for the video, I learnt what data lake hydration projects are, my previous company had no proper KT, I struggled to grasp what I was doing. This was very nicely explained and cleared the doubts that I had.

    • @ITkFunde
      @ITkFunde  2 ปีที่แล้ว

      Thanks♥️

  • @ravirty8962
    @ravirty8962 3 ปีที่แล้ว +1

    Simply superb tutorial with good example.

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Ravi☺️

  • @kalyanchakri5258
    @kalyanchakri5258 4 ปีที่แล้ว +4

    Love your way of teaching in a simple understandable concepts. Im mad of you..!

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว

      Thanks Kalyan for your feeback it helps a lot..

  • @haydarissa9371
    @haydarissa9371 2 ปีที่แล้ว +1

    Very elegant way to explain data pipelining and ETL approach. I appreciate the examples given especially the master data management. Well done.

  • @KolawoleAdekoya
    @KolawoleAdekoya 2 ปีที่แล้ว +3

    Simplified and clear explanation of the concepts. Great diction and presentation. Well done!

    • @ITkFunde
      @ITkFunde  2 ปีที่แล้ว

      thanks Kolawale

  • @essboogy
    @essboogy 3 ปีที่แล้ว +2

    This is excellent. Really interesting and easy to follow. I am just starting training with IBM to be a Data Engineer. Leaving healthcare for good!

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks a lot ☺️☺️🙏

  • @Manoj419419
    @Manoj419419 4 ปีที่แล้ว +3

    Great explanation and examples used. Thanks a ton !!

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว

      Thanks Manny

  • @JuanSilva-xu1wk
    @JuanSilva-xu1wk 3 ปีที่แล้ว +1

    Master piece for Data Architects. Thank you.

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Juan ☺️

  • @ravinduabeygunasekara833
    @ravinduabeygunasekara833 3 ปีที่แล้ว +3

    This is superb!. I am very strange to Data Engineering, and this video gave me a super insight! Keep up the good work

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Ravindu ☺️

  • @ankesh251
    @ankesh251 3 ปีที่แล้ว +1

    Best Video about Data Pipeline. haven't thought its this simple

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Ankesh 🙏☺️

  • @sid1r
    @sid1r 3 ปีที่แล้ว +3

    Thank you so much for a great and easy to understand data pipeline introduction. I love how you focus on the concepts and not jargons, as it allows for people to understand the essence of data pipeline.

  • @edsonsabino
    @edsonsabino 2 ปีที่แล้ว +1

    Great! The part that I liked the most was the one in wich he explained the difference between ETL and data pipeline

  • @hussamcheema
    @hussamcheema 4 ปีที่แล้ว +3

    Excellent Explanation. Keep making more videos regarding Data Engineering, AI, and Data Science.

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว

      Thanks a lot mate for your feedback and suggestion!!

  • @mitchelleleeuw2266
    @mitchelleleeuw2266 ปีที่แล้ว +2

    ☺️I’m new in Data Engineering and man you created a clear picture of what I’ve been learning and trying to understand 🙂love this… definitely subscribing 🤩

  • @JibrilLamai
    @JibrilLamai 3 ปีที่แล้ว +3

    This is a very good explanation and the best I have seen so far in my quest to understand this concept. Thank you very much. Now I can confidently visualize and explain the same concept with ease and a great understanding of it.

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Jibril glad it helped 🙏☺️

  • @obiradaniel
    @obiradaniel 2 ปีที่แล้ว +1

    Thank you very much, very elaborate and concise, this import for everyone in the technical data cycle, data engineer, analyst, administrator and data scientist.

  • @FIRE_EVERYTHING
    @FIRE_EVERYTHING 2 ปีที่แล้ว +4

    Excellent high level overview Anshul, I appreciate that you differentiated between batch data and real time data with the Lambda Architecture as it seems most applicable to modern organizations. Your explanation of dashboards as consumers was also very realistic. Your video helped me better understand the general steps in the process. +1 Subscriber.

    • @ITkFunde
      @ITkFunde  2 ปีที่แล้ว

      Thanks Matthew for supporting ❤️

  • @NathJones11
    @NathJones11 2 ปีที่แล้ว +2

    A very clear explanation of the differences between the two methods. Often I see everything limped under an ETL umbrella, when it may not accurate.

    • @ITkFunde
      @ITkFunde  2 ปีที่แล้ว

      Thanks 🙏

  • @jamesmcmurtry5351
    @jamesmcmurtry5351 4 ปีที่แล้ว +6

    Great visual layout. Would love to see this applied to an ELT model with Snowflake and it's advantages/disadvantages. Possibly a suggestion on ML complementary tools like Looker and Kraken.

  • @jananisri6214
    @jananisri6214 2 ปีที่แล้ว +1

    One of the best tutorials in youtube so far which gives an overview of data engineering process and that too within 10 minutes. Really appreciate your effort and time you put into making this video. Thank you so much. Please keep doing more such tutorials.

  • @maelherbert321
    @maelherbert321 3 ปีที่แล้ว +4

    Really content. Bravo from France 👏👏👏

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Merci Mael 😊

  • @damiiete
    @damiiete 3 ปีที่แล้ว +2

    Great explanation for introduction to data pipelines. Thanks for clarifying the distinction between ETL and data Pipelines.

  • @knorth2386
    @knorth2386 4 ปีที่แล้ว +3

    Hi Anshul, your video was helpful. I have experience with ETL but didn't know that it was a specific type of data pipeline. Thanks for showing the different type of systems and technologies used for the concept visual that you explained with.

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว +1

      Thank you Kyle coming from an experienced guy means a lot. Hoping for continued support !!

  • @Aditya-zv5et
    @Aditya-zv5et 5 หลายเดือนก่อน

    really a great video for someone who is trying to understand data pipeline

  • @mikebrooks4182
    @mikebrooks4182 3 ปีที่แล้ว +3

    Thanks for a great overview of how the Lambda architecture can expedite the delivery of data to data consumers. For future videos, it would be helpful to map this to the roles, responsibilities, and skill requirements needed to manage this environment.

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว +1

      Thanks Mike for suggestion will try to add this

  • @smitadash8113
    @smitadash8113 2 ปีที่แล้ว +1

    Very crisp and clear explanation of data pipeline. Thank you very much for explaining in detail. Much helpful.

    • @ITkFunde
      @ITkFunde  2 ปีที่แล้ว

      Thanks Smita

  • @sourabhsuri8812
    @sourabhsuri8812 3 ปีที่แล้ว +12

    Thank you so much brother, for clarifying some of the concepts.. Truly appreciate it. Can you suggest - Which way is the Tech Heading now - Data Warehouse Vs. Data Lake? Are DWH a thing of past?

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว +13

      Thanks Sourabh, DWH is here to stay its not going anywhere. Today data world has become enormously huge and there is space for DWH and DL to co exist also Datalake can not solve all business problem. There is a hybrid approach coming up wherein you have your DWH on top of your Datalake

    • @vivek1joshi
      @vivek1joshi 2 ปีที่แล้ว +1

      Data Mesh

  • @bmcseal01
    @bmcseal01 2 ปีที่แล้ว +1

    Best explanation of data pipeline ever!

  • @sulaimankhan8033
    @sulaimankhan8033 2 ปีที่แล้ว +1

    Watched it again & again for clarity - Good !!

    • @ITkFunde
      @ITkFunde  2 ปีที่แล้ว

      Thanks ♥️♥️

  • @janbazahmedkhan8023
    @janbazahmedkhan8023 2 ปีที่แล้ว

    bhai itna lucid style mein kisi ne nai smjhaya. great work!!

  • @NarendraSharmaa
    @NarendraSharmaa 2 ปีที่แล้ว +1

    What a Explanation out of world , please share more such videos on topics like Kafka , Streaming

    • @ITkFunde
      @ITkFunde  2 ปีที่แล้ว

      Thanks a lot

  • @sripathysrinivas4579
    @sripathysrinivas4579 ปีที่แล้ว +1

    Fantastic!!! Thanks for your time and explaining the basics!!!

    • @ITkFunde
      @ITkFunde  ปีที่แล้ว

      My pleasure!

  • @elifylmaz7940
    @elifylmaz7940 ปีที่แล้ว +2

    Wov, I think I just watched one of the best explanation video in my life. You did an amazing job! The structure you explain the details and use cases, the examples you give in real world applications made a lot of sense to me. Thank you so much!

    • @ITkFunde
      @ITkFunde  ปีที่แล้ว

      Thanks Elif for your kind words means a lot ☺️🙏

  • @luisjimenez917
    @luisjimenez917 3 ปีที่แล้ว +1

    Excelent!! Thanks...!! Congratulations!!!

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Luis ☺️☺️

  • @hasinirajapaksha333
    @hasinirajapaksha333 2 หลายเดือนก่อน

    in my life this is the best explanation I ever heard ,PERFECT .keep doing that good luck sir.🙏

  • @KESHA1982
    @KESHA1982 2 ปีที่แล้ว +1

    So glad, that I've found your channel on TH-cam. Thanks a lot!

  • @sharmilanadgir5030
    @sharmilanadgir5030 3 ปีที่แล้ว

    Thank you for this simple and clear explanation of data pipeline. Now I have a clear picture of how data flows from consumer to producer

  • @DevOps-AWS55
    @DevOps-AWS55 3 ปีที่แล้ว +1

    Awesome Explaination of Data Pipeline

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks bhai

  • @anjanikumarchoubey7969
    @anjanikumarchoubey7969 3 ปีที่แล้ว +1

    Very effective lecture in introducing the data pipeline and promote to adopt in improving the Business /egovernance services and advisories

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Anjani

  • @ashishshukla004
    @ashishshukla004 3 ปีที่แล้ว +2

    Hats off Anshul Sir ji... thank you for sharing all the knowledge in so simple way.

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Ashish hope you are doing well

  • @sunderdase3511
    @sunderdase3511 ปีที่แล้ว

    A simple and superb explanation about Data pipeline structure. Thanks a lot. Really appreciate!

  • @pallavimondal2655
    @pallavimondal2655 4 หลายเดือนก่อน

    I am a newbie to this ETL process, confused with all jargons! This definitely helped to get the picture of it. Keep up the good work

  • @sudamamboji289
    @sudamamboji289 3 ปีที่แล้ว +1

    Layman's terms are so helpful for people like me who are new to data technology.Thank you so much for making it so simple to understand.

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Sudam thats the motive... Make I.T. interesting for everyone ☺️🙏

  • @abhinavshankar92
    @abhinavshankar92 3 ปีที่แล้ว +1

    Simple and Clear

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Abhinav 🙏☺️

  • @MGKA-vr8si
    @MGKA-vr8si 2 ปีที่แล้ว

    One of the best presentation to know more about data pipeline. thanks.

  • @DanishAnsari-hw7so
    @DanishAnsari-hw7so 3 ปีที่แล้ว +1

    Such an awesome explanation, short, crisp and to the point. Great!

  • @ifeakintayo6871
    @ifeakintayo6871 4 ปีที่แล้ว +2

    wonderful. God bless you. Very detailed high level explanation . Boss!!!!!

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว

      Thanks Ife for your support and wishes 🙏🙏☺️

  • @GoldJSilverio
    @GoldJSilverio 2 ปีที่แล้ว

    Yes I must say this is very concise and how he names the commercial vendors as examples really augments the value further.

  • @joshuaabok3329
    @joshuaabok3329 2 ปีที่แล้ว

    Amazing analogy. Amazing explanation of data pipeline. This is just awesome.

  • @andregomesdasilva
    @andregomesdasilva 3 ปีที่แล้ว +2

    You've made it simple and clear, thanks for sharing!

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Andre :)

  • @rajivjani8594
    @rajivjani8594 2 ปีที่แล้ว

    Superb! In 10 minutes, you have put such a clear picture of data pipeline in my mind that I will never forget! Many thanks for your time and sharing this valuable piece!

  • @pedrotaraujo2
    @pedrotaraujo2 3 ปีที่แล้ว +1

    Nice Video! thank you for sharing!

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Pedro

  • @rohidaskumbharkar7277
    @rohidaskumbharkar7277 2 ปีที่แล้ว +2

    This was extremely helpful for understanding to Real and batch data streaming and also lambda architecture.

    • @ITkFunde
      @ITkFunde  2 ปีที่แล้ว

      Thanks Rohidas

  • @jasper5016
    @jasper5016 2 ปีที่แล้ว

    Thanks a lot. This tutorial taught so many things within 10 mins.

  • @udaythakur1405
    @udaythakur1405 3 ปีที่แล้ว

    Easy & Crisp To Understand. Really appreciate.

  • @meemanikandan
    @meemanikandan 4 ปีที่แล้ว +2

    Good one to understand Data Pipeline. Thanks!

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว

      Thanks🙏

  • @SunnyUtkarsh81
    @SunnyUtkarsh81 2 ปีที่แล้ว

    that's very simple and best way to explain about data pipeline

  • @asthagoel3000
    @asthagoel3000 2 ปีที่แล้ว

    Big concepts explained very quickly in an easy to understand manner. Thanks!

  • @rhintzen
    @rhintzen 4 ปีที่แล้ว +2

    Amazing Video my friend. Simple and to the point.

    • @ITkFunde
      @ITkFunde  4 ปีที่แล้ว

      Thanks Rick 🙏

  • @muthuk72
    @muthuk72 2 ปีที่แล้ว +1

    Excellent glimpse !!! thanks lot

    • @ITkFunde
      @ITkFunde  2 ปีที่แล้ว

      Thanks Muthu 😊

  • @kiransatyan
    @kiransatyan 2 ปีที่แล้ว

    So much valuable content in such short duration video... with so much clarity. Awesome !! Thank you !!

  • @GonzaloArangoF
    @GonzaloArangoF 2 ปีที่แล้ว

    It is a clear presentation for common people. Tanks!!

  • @akankshagupta5067
    @akankshagupta5067 3 ปีที่แล้ว +2

    awesome tutorial. Thank You.. :)

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Akanksha

  • @TheGhumanz
    @TheGhumanz 2 ปีที่แล้ว

    Very neat and simplified approach. Cleared my doubts about the need for data pipeline vs ETL. Thanks for sharing!

  • @polinemuthaiga2752
    @polinemuthaiga2752 ปีที่แล้ว +1

    You are a wonderful teacher!!!!!!!

  • @delivcemwangi7396
    @delivcemwangi7396 2 ปีที่แล้ว +1

    Thanks so much this is the most simplified and easy to learn video on Data Pipelining

  • @aryanj2435
    @aryanj2435 3 ปีที่แล้ว +1

    Awesome tutorial!

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Aryan

  • @davydwes
    @davydwes 3 ปีที่แล้ว +1

    quickly and good explanation. Tks

    • @ITkFunde
      @ITkFunde  3 ปีที่แล้ว

      Thanks Davyd ☺️

  • @darinacherepanova6930
    @darinacherepanova6930 2 ปีที่แล้ว

    It’s eyes opening and matching pieces in my head into logic, really thankful !

  • @SwapanD
    @SwapanD 3 ปีที่แล้ว

    One simple word - BRILLIANT.

  • @vandanagupta2137
    @vandanagupta2137 ปีที่แล้ว

    1st time i loved any video on utube thiss much, great teacher ever.....

  • @emmanuelafuwape9118
    @emmanuelafuwape9118 2 ปีที่แล้ว

    this was such a well detailed explanation of Datapipeline and more. I am so elighted!! Structured so well Thank you!