Vocabulary for Data Engineers - Data Engineering 101
40 هزار بار بازدید -
2 سال پیش
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There is a lot of
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.
https://www.seevid.ir/fa/w/TDbjd6Wl6TI Intro
https://www.seevid.ir/fa/w/TDbjd6Wl6TI What Does DAG Mean?
https://www.seevid.ir/fa/w/TDbjd6Wl6TI Data Pipelines, ETLs, ELTS , IPaas
https://www.seevid.ir/fa/w/TDbjd6Wl6TI Data Warehouse and Data Lake
https://www.seevid.ir/fa/w/TDbjd6Wl6TI What are Fact and Dimension Tables?
https://www.seevid.ir/fa/w/TDbjd6Wl6TI What are Slowly Changing Dimensions?
https://www.seevid.ir/fa/w/TDbjd6Wl6TI What is an SLA?
Top Courses To Become A Data Engineer In 2022
https://www.seevid.ir/fa/w/kW8_l57w74g
What Is The Modern Data Stack - Intro To Data Infrastructure Part 1
https://www.seevid.ir/fa/w/-ClWgwC0Sbw
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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.
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2 سال پیش
در تاریخ 1401/03/11 منتشر شده
است.
40,064
بـار بازدید شده