Vocabulary for Data Engineers - Data Engineering 101
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- เผยแพร่เมื่อ 5 ก.ค. 2024
- There is a lot of jargon we throw around as data engineers.
Data warehouse, data lake, data pipeline, ETL, ELT and more.
But what do all these terms mean?
What is a DAG?
What is IPaas?
And what role do they play in our data engineering world.
Does your team need help getting up to speed on what is going on in the data world or do you need help setting up your data strategy, then set up a free consultation with me!
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If you enjoyed this video, check out some of my other top videos.
0:00 Intro
0:30 What Does DAG Mean?
1:38 Data Pipelines, ETLs, ELTS , IPaas
4:40 Data Warehouse and Data Lake
7:51 What are Fact and Dimension Tables?
9:40 What are Slowly Changing Dimensions?
12:41 What is an SLA?
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About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.
*I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you. - บันเทิง
Eating my dinner to this, taking a break from pulling my hair out trying to debug an ADF pipeline 😭 - appreciate the content 👌
Good luck on the bug!
You had me hooked at DAG 🙌🏼 Loved this explanation Ben!
Glad you liked it!
Valuable information that could help us to define our knowledge path.
Now you have a new subscriber.
Thank you :)
Thanks for this video.. I learnt two new things, Slowly changing dimension and Service level agreement.. I am excited to see how this plays out in a real world situation..
Very simple, clean and crisp way of explaining. Appreciate your effort 😊
Glad you found it helpful!
Great introductory video, clear personable explanations + nice visuals
glad it was helpful!
Thanks very much for the great video. I always enjoy your content and please keep it coming. :)
Thank you! I am glad you are enjoying it! I will keep it coming
Awesome video, jargon can be a big problem in tech. It's nice to see you breaking down some of these things for people newer to the industry.
Yeah we just like to throw things around and expect other people to catch up.
Thank you for sharing. Would be nice if you also cover a data pipeline end-to-end implementation...
Great video -- can't recommend this one enough!
You're too kind!
nice. Would love to see more of these
Awesome! I think the video is doing pretty well too
Great video. Look forward for a new edition, which talks more a about data contract
Thanks! I should do a third video!
Hi Ben, congrats on hitting 30k🎉. If I am not wrong, when I subscribed it was probably less than 1k. Happy for you 💐
Thank you so much!!!
Awesome content throughout 🎉❤
Thank you!
Thanks, another very useful video
Thank you for your support!
Thumbs up! Great Video, Thanks. But the elevator music in the background is killing me :D
This was excellent the jargon could create fret
Glad you enjoyed it!
Great content!
Thank you!
You are amazing dude !
Thank you!
What about data processing vs data transformation...?
@seattle Data Guy , this is a nice concept. Do you have any resources on managing SCD'S?
What do you mean by managing?
@@SeattleDataGuy I meant working with SCD's and best practices.
Which platform is the one shown at 1:32 for the DAG???
This is Y42.
Always considered an SLA between a vendor and a client. Are you suggesting that sla's can exist inside of a company?
They can indeed!
I love IT..but hate how every couple years new jargon comes around that means pretty much the same as it did before...just a new term or terms for the same thing....we should keep the jargon SIMPLE if we can...thanks for a great video....
Same. How many more ways can we store data!
Hi Brother, Can you compare salary with respect to SAP basis domain, why i am pointing sap is i am currently working in this domain and want to know salary different. thanks
I am unsure of what you are asking?
@@SeattleDataGuy oh then its more beneficial for you and me we just need someone from community wo can guide us in this and you can post late as i am checking in your no one have made video on this topic yet.
Have you gotten ahold of Palantir Foundry yet?
Should be soon. At least based on the conversations. Papers signed, sent over some configuration stuff today.
@@SeattleDataGuy Awesome. I’m excited to see how much this will change the industry.
What about my Analytical Storage System: ASS
this guy
Don’t forget reference data, master data, metadata
That will have to be video 2
Everyone understands me right? 😧
Sure they do 😆