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

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What is Data Pipeline | How to design Data Pipeline? - ETL vs Data pipeline
#datapipeline
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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.
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Опубликовано:

30 авг 2020

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Комментарии : 1,2 тыс.

@sivanagarajugamidi 3 года назад

Master piece tutorial for data engineering

@ITkFunde 3 года назад

Thanks Siva

@indexima6517 3 года назад

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

@vijayjayaram606 3 года назад

@@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 2 года назад

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

@lwhieldon1 2 года назад

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

@nathancarranza9860 3 года назад

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

@ITkFunde 3 года назад

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

@fsfernandes20 3 года назад

Yes Indians like to make difficult concept easy

@nathancarranza9860 3 года назад

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

@AutitsicDysexlia 3 года назад

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

@visionxx8656 2 года назад

Can't believe Putin is from US

@ericdasse8174 2 года назад

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 2 года назад

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

@altamashjawad6691 2 года назад

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 3 года назад

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

@ITkFunde 3 года назад

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

@MrBignate12345 3 года назад

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 3 года назад

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.

@sy-vf4js 3 года назад

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

@ITkFunde 3 года назад

Thank you 🙏🙏☺️

@sid1r 3 года назад

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.

@ci2484 3 года назад

This was extremely helpful in my new job working in data. Thank you for your approachable and easy to understand teaching style!

@ITkFunde 3 года назад

Thanks a lot 🙏

@squarehead6c1 3 года назад

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

@ITkFunde 3 года назад

Thanks Ronnie☺️

@lcsxwtian 3 года назад

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

@jananisri6214 2 года назад

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.

@aitemiryeskenov355 3 года назад

Wonderful explanation. Can't tell you how much I appreciate brilliant tutorials like this one.

@jamesmcmurtry5351 3 года назад

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.

@bigglesharrumpher4139 Год назад

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 11 месяцев назад

Nice

@chimmenegaius-assor3767 2 года назад

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

@mardiidking4030 Год назад

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 Год назад

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

@alexanderulloaopazo6275 3 года назад

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 3 года назад

Thank you Alexander !!!

@prabur4027 2 года назад

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 2 года назад

Thanks Prabu 👍☺️🙏

@vivekjoshi3769 2 года назад

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 2 года назад

@@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..

@puneettiwari2251 3 года назад

Great

@ramakrishnachimmani7273 3 года назад

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 3 года назад

Thanks Rama for your positive feedback !!

@chocochipbananasplit 3 года назад

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

@mitchelleleeuw2266 Год назад

☺️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 🤩

@rajguru1998 3 года назад

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

@kenford3738 3 года назад

Great job explaining the difference between Data Pipelines and ETL.

@ITkFunde 3 года назад

Thanks Ken 🙏☺️

@juliansihite1289 Год назад

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

@ITkFunde Год назад

Thanks Julian 😊❤️🙏

@JoeASalter 3 года назад

This is such a clear and useful explanation. Thank you!

@formulaRoot 2 года назад

Beautiful! Thanks for this!

@dhritimanbnrj 3 года назад

best productive 10 minutes of my life.

@ITkFunde 3 года назад

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

@brentcos9370 3 года назад

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

@ITkFunde 3 года назад

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

@jessicafb5398 3 года назад

This was very helpful, thank you!

@GoldJSilverio 2 года назад

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

@K0n5tant 3 года назад

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

@ITkFunde 3 года назад

Thanks a lot

@kalyanchakri5258 3 года назад

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

@ITkFunde 3 года назад

Thanks Kalyan for your feeback it helps a lot..

@djmenon21 Год назад

Superb video

@haydarissa9371 2 года назад

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

@JibrilLamai 3 года назад

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 3 года назад

Thanks Jibril glad it helped 🙏☺️

@Gridblue Год назад

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 Год назад

Thanks♥️

@tektauron 3 года назад

GREAT explanation, wow. Thank you so much dude! This was incredibly useful. I've subscribed!

@gilbertsibomana3081 3 года назад

Thanks for the video, I like how everything is clear.

@mikebrooks4182 3 года назад

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 3 года назад

Thanks Mike for suggestion will try to add this

@e2xsq Год назад

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 Год назад

Thanks Matthew for supporting ❤️

@gurpreetsmatharu 3 года назад

Very well explained session on Data Pipeline and comparison with traditional ETL. Thanks so much!

@obiradaniel7391 2 года назад

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

@vox-populi-vox-dei- Год назад

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 Год назад

Thanks

@knorth2386 3 года назад

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 3 года назад

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

@tulajagautam4284 2 года назад

Amazing!!

@vijayreddytirupari Год назад

Thumbs up, informative.

@hussamcheema 3 года назад

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

@ITkFunde 3 года назад

Thanks a lot mate for your feedback and suggestion!!

@Manoj419419 3 года назад

Great explanation and examples used. Thanks a ton !!

@ITkFunde 3 года назад

Thanks Manny

@nu7493 Год назад

Great job man! Very straight to the point and very informative. Thank you so much!

@AbelAkeni 2 года назад

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

@KolawoleAdekoya Год назад

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

@ITkFunde Год назад

thanks Kolawale

@maelherbert321 3 года назад

Really content. Bravo from France 👏👏👏

@ITkFunde 3 года назад

Merci Mael 😊

@KESHA1982 Год назад

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

@arunachalampalani4321 11 месяцев назад

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

@sourabhsuri8812 3 года назад

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 3 года назад

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 2 года назад

Data Mesh

@ravinduabeygunasekara833 2 года назад

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

@ITkFunde 2 года назад

Thanks Ravindu ☺️

@komalsharma3856 2 года назад

You beautifully explained the basics & placements of various technologies in an architectural diagram. Very useful. Pls make more videos clarifying the basics

@issamfakhari3152 3 года назад

Great explication!!!!

@arsaikia02 2 года назад

Hello Anshul Sir, I do not have any data engineering background, but I am very strong in visualization. You have aided me in finding the missing blocks about data processing and its treatment for final consumption. Keep doing your good job. Thank you again.

@mkhajar 2 года назад

Excellent

@chintu9160 3 года назад

Good 👍

@learnnorwegian207 2 года назад

great video

@jaykarandikar 2 года назад

Great video! thank you.

@redshift3639 Год назад

Very useful video. Thank you

@nitinbobde3170 3 года назад

Crystal clear explanation. Simple but effective way of explaining concepts. Excellent teacher. You rock.

@MsBonesoul 2 года назад

Epic One

@AshishKumar-gl2ur 2 года назад

Great !!! and absolute gem..!!

@ranapratap4756 2 года назад

V good

@gdawgskillet3354 2 года назад

Great work

@ChanceMinus Год назад

Brilliant! Thank you.

@Callisthenics_workout 2 года назад

well explained

@sachinsingh333 2 года назад

nice

@SreenathV 2 года назад

The Best !

@commonman1271 2 года назад

Excellent explaination

@Troy20111000 2 года назад

Phenomenal work

@davidwallace5814 Год назад

Thank you, well done.

@ivanaarriane142 Год назад

Thinks for this video.

@eliaszeray7981 2 года назад

clear! Thank you.

@edsonsabino 2 года назад

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

@oye_pokemon Год назад

Very Informative.

@rajpandim Год назад

Very good information

@tataigh12 2 года назад

Very nice.....

@hasmilaomar5562 2 года назад

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!!