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Data Pipelines Explained 

IBM Technology
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Data is a lot like water; it often needs to be refined as it travels between a source and its final destination. That’s where data pipelines come in - they merge, filter, and summarize raw data, providing the end user with a clean product to analyze. Luv Aggarwal, a Data Solution Engineer at IBM, explains how several processes often embedded within data pipelines - like ETL, replication, virtualization, machine learning, and batch processing - help generate actionable business intelligence.
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#Data #DataPipelines #DataAnalyses #DataIntegration #BusinessIntelligence #ETL

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15 июн 2022

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Комментарии : 60   
@Geeee33
@Geeee33 Год назад
Now that's one of the best explanations with the simplest examples for data pipelines! Thank you
@vishalk02
@vishalk02 2 года назад
Explained simply & effectively. I would like to see more elaborate content on big data & data science fields.
@balakrishnanr7149
@balakrishnanr7149 Год назад
Very precise explanations with simple examples. 👏👏👏
@victorgromov1548
@victorgromov1548 Год назад
Great explanation with easy to follow examples!
@well9851
@well9851 Год назад
Greatly explained. Easy to understand and clearly.
@emrepiristine7967
@emrepiristine7967 11 месяцев назад
Thank you very much, it was the most explanatory and beautifully explained video I've ever watched.
@saikiranmahajan5981
@saikiranmahajan5981 Год назад
Awesome Luv! You made it simple for the Sales guys.
@peterluo1776
@peterluo1776 Год назад
This is some good work. Well done. Thanks for sharing 👍
@ChanceMinus
@ChanceMinus Год назад
Thank you. Extremely helpful.
@Flankymanga
@Flankymanga 2 года назад
I would like to know how the Data Virtualization works. At first i thought that it is just "faking" a real data source in order to test data pipeline configuration?
@Manav-zo9bn
@Manav-zo9bn Год назад
such a Quality content . Very well explained
@LeonidAndrianov
@LeonidAndrianov Год назад
Nice analogy and explanation!
@keviin077
@keviin077 Год назад
Thanks for the amazing explanation
@alexpishvanov736
@alexpishvanov736 2 года назад
I think, Data Virtualization would be a great topic for the next educational video from this instructor.
@carsonmasterson
@carsonmasterson 2 года назад
Hey Alex -- check this out: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-2XB4UaBIvNI.html
@1apocalyps
@1apocalyps Год назад
Yes I agree. When I hear virtualization, I get locked into is it based off data models, Is it "place holder data"? I'm assuming we have no information about the data without the transformations
@davidallyn1818
@davidallyn1818 6 месяцев назад
Beautiful tutorial!!
@harshalh3513
@harshalh3513 Год назад
Greatly explained , would be more great if you could explain a few more processes to build pipelines in a breif
@alaad1009
@alaad1009 9 месяцев назад
Excellent analogy
@user-uh6vk2zl1k
@user-uh6vk2zl1k Год назад
This is excellent!
@msbthedataengineer
@msbthedataengineer 2 года назад
Good Explanation!!.....
@suck-myballs1152
@suck-myballs1152 Месяц назад
I love these IBM videos. No organizations simplifies things the way they do.
@hasanmougharbel8030
@hasanmougharbel8030 Год назад
Hey dear, god bless your efforts in this channel. I have a general enquiry as a new sql learner. How could i create a pipeline to extract and load data from existing accounting program into our SQL server instances. How can i know if the export mechanism in the software permits me to undertake this extraction process, and how can i know if an application have an api? Thanks for taking care of my enquires. Looking forward to gain more knowledge from you
@surabhijagadish5210
@surabhijagadish5210 2 месяца назад
Awesome explaination.
@Eyenn_n
@Eyenn_n Год назад
Awesome video!
@uwalakab
@uwalakab 2 года назад
Great analogy. 👍🏿👍🏿👍🏿
@dabdoube92
@dabdoube92 2 года назад
b
@Trendykid
@Trendykid 11 месяцев назад
Cant wait for data virtualization video.
@f-alzahraa_Ahmed
@f-alzahraa_Ahmed Год назад
thanks, realy usful
@claudiusdsouza2379
@claudiusdsouza2379 Год назад
well explained
@obiradaniel7391
@obiradaniel7391 2 года назад
Nice video, just when you think you have heard it all, here comes "Data Virtualization". If possible that could be elaborated more.
@kikitauer
@kikitauer 2 года назад
My company uses data virtualization when rendering a final picture from our car configurator. It doesn't physically download the pictures, it just calls for the chosen color, wheels, accessories interiors etc and caches them - stores them in the temporary storage.
@pritamdaware9674
@pritamdaware9674 Год назад
Does this technology use all automobile industry?
@aniruddhabhosale6715
@aniruddhabhosale6715 5 месяцев назад
Explained really well .👊🔥💖✨💯
@chuachua-hj9zd
@chuachua-hj9zd 9 месяцев назад
Very good example quote using examples
@babasahebmane3473
@babasahebmane3473 Год назад
Well explained
@explorertribe
@explorertribe Год назад
Data virtualization is something looks interesting
@jpmccrossan6807
@jpmccrossan6807 День назад
Wonderful video and explanation- I'm just trying to work out, if he's writing on glass, how is he able to write backwards so well- for us to view it as 'non reversed'. *Edit: Got it- flipped video :)*
@pudgewars6447
@pudgewars6447 2 года назад
I would like to know how does your screen board work? Are you writing iin inverted xd?
@Lilwar195
@Lilwar195 2 года назад
I believe they are writing normally but the video is inverted post production
@Tordekh
@Tordekh 4 месяца назад
ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-wCOuu0-o5YI.html Lightboard videos
@evanshlom1
@evanshlom1 2 года назад
I WILL IMPLEMENT STREAMING MACHINE LEARNING AT WORK VERY SOON
@dxwallace55
@dxwallace55 Месяц назад
Off topic, but how are you typing backwards/reverse?
@Helloimtheshiieet
@Helloimtheshiieet 9 месяцев назад
In a roundabout way this is why ERP systems are so popular
@vansf3433
@vansf3433 Год назад
Your l English language is ambiguous because streaming data and transforming data are 2 different process. Streaming data is to make it concise or compacted, while transforming data can be changing it into another form to make it suitable for a certain purpose
@splashoui3760
@splashoui3760 8 месяцев назад
How this kind of videos are made? Typing to the screen and it shows up on camera? What is the tech behind this?
@IBMTechnology
@IBMTechnology 8 месяцев назад
See ibm.biz/write-backwards
@splashoui3760
@splashoui3760 8 месяцев назад
Thanks!@@IBMTechnology
@faisalk.7520
@faisalk.7520 Год назад
How was this video made? How are the words not backwards lmao. This is crazy
@IBMTechnology
@IBMTechnology Год назад
Search on "lightboard videos"
@rohannair4039
@rohannair4039 6 месяцев назад
how is he writing in reverse
@user-xx1sw1dj9o
@user-xx1sw1dj9o 8 месяцев назад
yooo i just relaized this man just wrote all those letters and words backwards so we can see it normally....... right ? or is this some camera trick
@IBMTechnology
@IBMTechnology 8 месяцев назад
See ibm.biz/write-backwards
@ScriptureFirst
@ScriptureFirst Год назад
Whiteboards suck. Spring for the full blown motion graphic. Too slow (even at 2x) didn’t finish
@samwelemmanuel7976
@samwelemmanuel7976 8 месяцев назад
My only question is why do they always ask lefties to do these videos?
@IBMTechnology
@IBMTechnology 8 месяцев назад
See ibm.biz/write-backwards --they're actually righties.
@dharanik7530
@dharanik7530 10 месяцев назад
worst experience guy
@vansf3433
@vansf3433 Год назад
Your explaining chart is nonsense because you do not need to clean water from a lake or river for agricultural activities
@temitopekade590
@temitopekade590 Месяц назад
Appreciate efforts. This explanation is basic and it does not mean there are no other use cases like the agriculture you mentioned. He is talking obout end use of water in this case. Majority of us understood this. Be more positive!
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