Data Pipelines Explained

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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.

#Data #DataPipelines #DataAnalyses #DataIntegration #BusinessIntelligence #ETL
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Now that's one of the best explanations with the simplest examples for data pipelines! Thank you

Geeee
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Explained simply & effectively. I would like to see more elaborate content on big data & data science fields.

vishalk
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I think, Data Virtualization would be a great topic for the next educational video from this instructor.

alexpishvanov
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Thank you very much, it was the most explanatory and beautifully explained video I've ever watched.

emrepiristine
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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?

Flankymanga
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Great explanation with easy to follow examples!

victorgromov
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Nice video, just when you think you have heard it all, here comes "Data Virtualization". If possible that could be elaborated more.

obiradaniel
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Greatly explained. Easy to understand and clearly.

well
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Very precise explanations with simple examples. 👏👏👏

balakrishnanrplus
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Awesome Luv! You made it simple for the Sales guys.

saikiranmahajan
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such a Quality content . Very well explained

Manav-zobn
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Cant wait for data virtualization video.

Trendykid
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Thank you very much for the video. I never imagined it this way

ugbajeinnocent
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This is some good work.
Well done.
Thanks for sharing 👍

peterluo
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Data virtualization is something looks interesting

explorertribe
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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

hasanmougharbel
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just pointing out, he had to write backwards on that clear sheet. well done.

YandtheB
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Greatly explained, would be more great if you could explain a few more processes to build pipelines in a breif

harshalh
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I would like to know how does your screen board work? Are you writing iin inverted xd?

pudgewars
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Very good example quote using examples

chuachua-hjzd