Data Modeling Challenges - The Issues Data Engineers & Architects Face When Implementing Data Models

Data modeling is an important skill for data engineers.

But you will face lots of challenges when actually diving into the logic and business processes that are involved to create said data.

The goal of data modeling is to represent the business, its transactions and so forth so that others can utilize the data.

But its far harder than just taking a star schema and slapping it on top of your data.

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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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