What is Data Pipeline | How to design Data Pipeline ? - ETL vs Data pipeline (2024)

[@sivanagarajugamidi]

Master piece tutorial for data engineering

[@ITkFunde]

Thanks Siva

[@indexima6517]

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

[@vijayjayaram606]

@@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]

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

[@lwhieldon1]

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

[@nathancarranza9860]

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

[@ITkFunde]

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

[@fsfernandes20]

Yes Indians like to make difficult concept easy

[@nathancarranza9860]

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

[@AutitsicDysexlia]

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

[@visionxx8656]

Can't believe Putin is from US

[@ericdasse8174]

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]

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

[@altamashjawad6691]

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]

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

[@ITkFunde]

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

[@bigglesharrumpher4139]

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!

[@Thekingslayer-ig5se]

Nice

[@MrBignate12345]

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]

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.

[@burimcakolli3400]

Great Teacher! Used your Video for my teaching in switzerland

[@ITkFunde]

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

[@mardiidking4030]

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]

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

[@juanpabloahumada3459]

Thanks!

[@ITkFunde]

thanks

[@lcsxwtian]

Simply one of the best videos on data pipeline on KZbin. Deserves so much more attention.

[@sy-vf4js]

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

[@ITkFunde]

Thank you 🙏🙏☺️

[@squarehead6c1]

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

[@ITkFunde]

Thanks Ronnie☺️

[@alexanderulloaopazo6275]

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]

Thank you Alexander !!!

[@prabur4027]

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]

Thanks Prabu 👍☺️🙏

[@vivekjoshi3769]

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]

@@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..

[@ramakrishnachimmani7273]

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]

Thanks Rama for your positive feedback !!

[@juliansihite1289]

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

[@ITkFunde]

Thanks Julian 😊❤️🙏

[@empressbelless3232]

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

[@kenford3738]

Great job explaining the difference between Data Pipelines and ETL.

[@ITkFunde]

Thanks Ken 🙏☺️

[@ravirty8962]

Simply superb tutorial with good example.

[@ITkFunde]

Thanks Ravi☺️

[@Gridblue]

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]

Thanks♥️

[@sudhakarg5337]

thanks for explaining all those things i need real example of real time data and batch processing data in using adf plzzzzz do video

[@chocochipbananasplit]

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

[@hasmilaomar5562]

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!!

[@KolawoleAdekoya]

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

[@ITkFunde]

thanks Kolawale

[@ramakambhampati5094]

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

[@ITkFunde]

Thanks Rama ☺️☺️

[@Manoj419419]

Great explanation and examples used. Thanks a ton !!

[@ITkFunde]

Thanks Manny

[@rohidaskumbharkar7277]

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

[@ITkFunde]

Thanks Rohidas

[@ravinduabeygunasekara833]

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

[@ITkFunde]

Thanks Ravindu ☺️

[@mitchelleleeuw2266]

☺️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 🤩

[@K0n5tant]

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

[@ITkFunde]

Thanks a lot

[@NathJones11]

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]

Thanks 🙏

[@kalyanchakri5258]

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

[@ITkFunde]

Thanks Kalyan for your feeback it helps a lot..

[@arunachalampalani4321]

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

[@sid1r]

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.

[@othmanbelmouzouna3893]

Very good tutorial with valuable explanations. Thanks.

[@ITkFunde]

Thanks Othman

[@dhritimanbnrj]

best productive 10 minutes of my life.

[@ITkFunde]

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

[@anjanikumarchoubey7969]

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

[@ITkFunde]

Thanks Anjani

[@brentcos9370]

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

[@ITkFunde]

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

[@arunkumarr2302]

Data ware house is a storage which contains 4 stages namely collect,store, analyse,consume with help of etl . Uses of data warehouse is integrity,time based sir .Etl-> extract transform and load. Data pipeline is a transformation of data from one place to another like as water from ground to people through pipe . Data pipeline is classified with 3 types namely 1)Real time data pipeline 2) Batch data pipeline (for example particular data is required . I need sales history of a store per day )(etl bods is used for batch data pipeline) 3) Log data pipeline (combination of 1+2) sir . Thank you so much 👏 for this session 🤗

[@knorth2386]

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]

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

[@obiradaniel]

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

[@jamesmcmurtry5351]

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.

[@sripathysrinivas4579]

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

[@ITkFunde]

My pleasure!

[@JibrilLamai]

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]

Thanks Jibril glad it helped 🙏☺️

[@essboogy]

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]

Thanks a lot ☺️☺️🙏

[@hussamcheema]

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

[@ITkFunde]

Thanks a lot mate for your feedback and suggestion!!

[@MGKA-vr8si]

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

[@FIRE_EVERYTHING]

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]

Thanks Matthew for supporting ❤️

[@edsonsabino]

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

[@maelherbert321]

Really content. Bravo from France 👏👏👏

[@ITkFunde]

Merci Mael 😊

[@NarendraSharmaa]

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

[@ITkFunde]

Thanks a lot

[@sourabhsuri8812]

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]

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]

Data Mesh

[@ajeet23790]

Your teaching technique is amazing. Thank you for sharing the knowledge on data pipeline. My all doubts related to data pipeline is clear now.

[@mikebrooks4182]

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]

Thanks Mike for suggestion will try to add this

[@haydarissa9371]

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

[@victorbgdream8328]

Thanks, very nice and simple concept.

[@ITkFunde]

Thanks Vladimir

[@pallavimondal2655]

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

[@carlosarte11]

Anshul: Thanks a lot for this great video, you not only explained clearly the concepts, but also gave us the name of useful products for doing each step of the process. Thank you very much.

[@APUSHstudent777]

I am prepping for an interview and preparing how to talk about this topic. You explain this very simple and easy to follow. Thank you.

[@damiiete]

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

[@sunderdase3511]

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

[@emmanuelafuwape9118]

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

[@alagurajastp]

Thanks for giving Basic understanding

[@asthagoel3000]

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

[@smitadash8113]

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

[@ITkFunde]

Thanks Smita

[@alaad1009]

Excellent explanation 👌 one of the best I've seen on the subject!

[@joshuaabok3329]

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

[@AbelAkeni]

Succinct, presented with clarity! Beginners, get in here! 👏🏾👏🏾👏🏾

[@GonzaloArangoF]

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

[@alessandroceccarelli6889]

Thank you for your high-quality videos! In our use case, we ingest daily a .zip file containing 3 .csv’s related to sales, inventory and orders from different shops (20-30) and CRMs (4-5 ; each one with its own naming convention, dtypes, …). How would you improve the following pipeline? - Raw zip files are uploaded to a GCP bucket - The upload triggers a Python GCP Cloud function that transforms the data to create single naming/dtypes conventions and brief new columns (e.g. timestamp by merging date + time) - Transformed data is uploaded to MongoDB - 3 separate collection for sales, inventory and orders - and raw .csv’s to a separate GCP bucket as parquet files (1 folder for each CRM and PoS as subfolder) - A PubSub message posted by the function triggers a GCP Function that loads processed data from MongoDB, applies ML models and stores results in separate collections (1 for each analysis type; e.g. forecast, anomaly detection, …) - A Python web app directly reads ML output data from MongoDB Thank you so much and love your videos; 🤗

[@erengulbayram]

Great explanation! Thank you

[@ITkFunde]

😊 thxxxx

[@jasper5016]

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

[@formulaRoot]

Beautiful! Thanks for this!

[@elifylmaz7940]

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]

Thanks Elif for your kind words means a lot ☺️🙏

[@rangagullapalli1210]

Wonderful Explanation and you really hit the point straight and clear about data pipe lines in a short and precise manner. ThanQ very much.

[@ITkFunde]

Thanks 🙏☺️

[@nikolaysokolov9027]

It's excellent explanation. Thanks!

[@vani.bhuvanagiri6716]

Very Informative one !! 👌 Appreciate your wide experience !!

[@amitparmar8076]

What a superb explanation with simplistic examples and scenario.

[@francis191]

Clear simple and easy to understand - great presentation

[@Aditya-zv5et]

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

[@hasinirajapaksha333]

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

[@satishkumar-t9z9f]

Excellent Video. In simple Diagram explained very neatly about Batch and Realtime pipeline along with Data Pipeline architecture. Kudos!!

[@vansf3433]

The benefit of pipelining is the ability to put all 5 stages, 1. Fetch, 2. Decode, 3. Execute, 4 Read memory, 5. Write memory , to work, simultaneously operating on independent commands. The max-benefit come when the pipeline is full You can measure the pipeline performance by calculating the cycles per instruction CPI

[@rajguru1998]

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

[@issamfakhari3152]

Great explication!!!!

[@dhansraj7345]

Very nice architecture in a simple hand drawn picture and presentation also. Awesome job

[@kiransatyan]

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

[@ssbsathish]

Awesome thanks for sharing your interest

[@ITkFunde]

Thanks Sathish

[@darinacherepanova6930]

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

[@luisjimenez917]

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

[@ITkFunde]

Thanks Luis ☺️☺️

[@shivesh2813]

really insightful and helpful channel for learning IT fundamentals

[@azobensadio260]

Your video helped me to understand better the steps in the process. i love too much the way you explane the process. Thanks Master!

[@DudeGuyWho]

This is an exceptional piece of instruction...connects flows with products and varied use cases/application options.

[@redshift3639]

Very useful video. Thank you

[@ankesh251]

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

[@ITkFunde]

Thanks Ankesh 🙏☺️

[@sulaimankhan8033]

Watched it again & again for clarity - Good !!

[@ITkFunde]

Thanks ♥️♥️

[@sabysreya]

Simple and super easy to understand 👌👍👏👏

[@ITkFunde]

Thanks again

[@DanishAnsari-hw7so]

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

[@ryanhutchins2634]

Great introductory video. Thanks for sharing your knowledge.