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Overview
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This course aims to teach the importance of middle-tier modeling and calculation layers in data analysis, going beyond the traditional storage and visualization approach. The learning outcomes include understanding the value of OLAP data models, exploring case studies, and gaining insights into how the middle tier enhances data analysis. The course teaches skills such as creating OLAP data models, performing advanced calculations, and leveraging middle-tier data processing. The teaching method involves sharing lessons learned, presenting case studies, and providing clear explanations. The intended audience for this course includes data analysts, business intelligence professionals, data scientists, and anyone interested in enhancing their data analysis skills.
Syllabus
SQL Isn’t for Analysis: Why Everyone Needs OLAP Data Models - Rob Collie
Taught by
PASS Data Community Summit