Vocabulary for Data Engineers - Data Engineering 101 

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.
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