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DATA DESIGN FRAMEWORKIngenuitys Data Design Framework provides an architecture for using data in order to answer questions, solve problems, design programs, and ultimately create something valuable.

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What is data lakes data science?

Data lakes data science involves the analysis of large volumes of raw data stored in a data lake to extract valuable insights and patterns.

Who is required to file data lakes data science?

Data scientists, data analysts, and other professionals who work with data lakes may be required to file data lakes data science reports.

How to fill out data lakes data science?

Data lakes data science reports can be filled out using data analysis tools, programming languages like Python or R, and visualization software.

What is the purpose of data lakes data science?

The purpose of data lakes data science is to uncover hidden trends, correlations, and patterns in large datasets stored in a data lake.

What information must be reported on data lakes data science?

Data lakes data science reports typically include data processing methodologies, data visualization results, and actionable insights.

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