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

What is Data Pipeline | How to design Data Pipeline? - ETL vs Data pipeline
#datapipeline
📢📢 Subscribe to my FREE newsletter "Normal I.T. Guy" to know more about what I am thinking, learning and doing in my career & life !!
CLICK THE LINK BELOW 👇👇👇
anshultiwari.s...
**Do check out our popular playlists**
1) Latest technology tutorial (2020) -
• What is a Data Vault ?...
2) Google Cloud Platform Beginner Series (2020) -
• Google Cloud Platform ...
3) Crunching Data Series (2020) - • Learn - Data Engineeri...
Hi Friends, I am Anshul Tiwari, and welcome to our youtube channel I.T. k Funde.
More about this video -
In this video, we will understand what is a data pipeline with the help of a real-life example. Data pipelines are designed to move data from one point to another. In this video, we will cover below topics -
1 - What is a Data Pipeline?
2 - Why you need a data pipeline?
3 - Basic design of a data pipeline
4 - Types of Data Pipeline - Batch, Streaming, Lambda architecture
5 - Advanced data pipeline design
We will also learn about various products that can be used in a data pipeline - SAP BODS, Mongo DB, Apache Kafka, Big Query, MDM, Teradata, SAP Business Objects, Tableau.
Credits & Resources -
Wikipedia
www.alooma.com...
*********************FOLLOW US ON*************************
Facebook - / itkfunde
Linkedin - / ansh9685
Twitter - / ansh9685
Blog - blogs.itkfunde...
Instagram - / itkfunde
****************************************************************
*****************About This Channel************************
Friends ITkFUNDE channel wants to bring I.T related knowledge, information, career advice, and much more to every individual regardless of whether he or she belongs to I.T or not. This channel is for everyone interested in learning something new!

[@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

[@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..

[@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 !!!

[@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 🙏🙏♥♥

[@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 🤩

[@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 !!

[@lcsxwtian]

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

[@kenford3738]

Great job explaining the difference between Data Pipelines and ETL.

[@ITkFunde]

Thanks Ken 🙏☺️

[@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♥️

[@K0n5tant]

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

[@ITkFunde]

Thanks a lot

[@arunachalampalani4321]

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

[@vox-populi-vox-dei-]

I think, you'ver covered it all as part of Enterprise Data Architecture. This is from the technology view and bit of functional view as well. Good job!

[@ITkFunde]

Thanks

[@rohidaskumbharkar7277]

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

[@ITkFunde]

Thanks Rohidas

[@KolawoleAdekoya]

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

[@ITkFunde]

thanks Kolawale

[@erengulbayram]

Great explanation! Thank you

[@ITkFunde]

😊 thxxxx

[@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.

[@othmanbelmouzouna3893]

Very good tutorial with valuable explanations. Thanks.

[@ITkFunde]

Thanks Othman

[@Manoj419419]

Great explanation and examples used. Thanks a ton !!

[@ITkFunde]

Thanks Manny

[@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 🙏

[@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.

[@damiiete]

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

[@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 ❤️

[@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 ☺️☺️🙏

[@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 !!

[@akankshagupta5067]

awesome tutorial. Thank You.. :)

[@ITkFunde]

Thanks Akanksha

[@dhritimanbnrj]

best productive 10 minutes of my life.

[@ITkFunde]

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

[@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!!

[@hussamcheema]

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

[@ITkFunde]

Thanks a lot mate for your feedback and suggestion!!

[@sabysreya]

Simple and super easy to understand 👌👍👏👏

[@ITkFunde]

Thanks again

[@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 🙏☺️

[@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

[@maelherbert321]

Really content. Bravo from France 👏👏👏

[@ITkFunde]

Merci Mael 😊

[@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.

[@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.

[@ramakambhampati5094]

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

[@ITkFunde]

Thanks Rama ☺️☺️

[@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

[@edsonsabino]

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

[@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

[@haydarissa9371]

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

[@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.

[@meemanikandan]

Good one to understand Data Pipeline. Thanks!

[@ITkFunde]

Thanks🙏

[@krishnakanths551]

Very helpful and clear. Thank you. _()_

[@ITkFunde]

Thanks Krish

[@alagurajastp]

Thanks for giving Basic understanding

[@empressbelless3232]

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

[@issamfakhari3152]

Great explication!!!!

[@redshift3639]

Very useful video. Thank you

[@sulaimankhan8033]

Watched it again & again for clarity - Good !!

[@ITkFunde]

Thanks ♥️♥️

[@aleksandonov8413]

Great video! Explains so much!

[@ITkFunde]

Thanks Aleks

[@Aditya-zv5et]

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

[@nikolaysokolov9027]

It's excellent explanation. Thanks!

[@DanishAnsari-hw7so]

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

[@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 ☺️🙏

[@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.

[@GoldJSilverio]

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

[@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.

[@muthuk72]

Excellent glimpse !!! thanks lot

[@ITkFunde]

Thanks Muthu 😊

[@anilpetwal]

What a brillient explaination

[@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.

[@diemuino]

Excellent explanation and examples, Anshul. Thank you for the video!

[@ITkFunde]

Thanks Dear

[@asthagoel3000]

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

[@rajguru1998]

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

[@ashishshukla004]

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

[@ITkFunde]

Thanks Ashish hope you are doing well

[@ssbsathish]

Awesome thanks for sharing your interest

[@ITkFunde]

Thanks Sathish

[@pedrotaraujo2]

Nice Video! thank you for sharing!

[@ITkFunde]

Thanks Pedro

[@joshuaabok3329]

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

[@ifeakintayo6871]

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

[@ITkFunde]

Thanks Ife for your support and wishes 🙏🙏☺️

[@karanpunjabi1437]

Too good explained thanks a lot for the info. I subscribed expecting more and more such videos which motivates us too for Data engineering career

[@wanderlust8075]

Thank you , It’s a very good explanation for all new comers. Please make videos on Datawarehousing.

[@ITkFunde]

Thanks Wander

[@GonzaloArangoF]

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

[@sunderdase3511]

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

[@satishkumar-t9z9f]

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

[@burimcakolli3400]

Great Teacher!
Used your Video for my teaching in switzerland

[@ITkFunde]

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

[@jaykarandikar]

Great video! thank you.

[@delivcemwangi7396]

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

[@ITkFunde]

thanks

[@sripathysrinivas4579]

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

[@ITkFunde]

My pleasure!

[@technoarunav]

WoW....Your lecture on Data pipeline is so simple and lucid to understand unlike other youtubers. I loved the way you have explained the concepts....Please do more videos on Azure and AWS...Count on me as a new subscriber has been added!!

[@WizOWash]

Thanks so much! Just subscribed! My knowledge just increased 100 fold.

[@ITkFunde]

Thanks a lot

[@robertvandersluis7412]

Thank you - this was so helpful. Very clear and concise.

[@ITkFunde]

♥️♥️♥️

[@dhansraj7345]

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

[@davidwallace5814]

Thank you, well done.

[@SunnyUtkarsh81]

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

[@formulaRoot]

Beautiful! Thanks for this!

[@AbelAkeni]

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

[@anjanikumarchoubey7969]

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

[@ITkFunde]

Thanks Anjani

[@smitadash8113]

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

[@ITkFunde]

Thanks Smita

[@TainuiaKid1973]

this is a very good explanation. one of the best technical videos I've ever watched on YT. thank you!

[@amitparmar8076]

What a superb explanation with simplistic examples and scenario.

[@jasper5016]

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

[@bhuvaneshkumar9763]

Precise explanation of Data pipe line...👏👏👏

[@ITkFunde]

Thanks Bhuvanesh

[@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; 🤗

[@Alebobb]

That was just great, thanks

[@sharmilanadgir5030]

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

[@shivesh2813]

really insightful and helpful channel for learning IT fundamentals