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DATA 411
RESTAURANT
 Data Lake
Inspiration
 SEE team
 Adhoc Requirements
 Cross platform Analysis
Data Lake
IQ
Iweb
PHChub
AFIX
DATA 411
RESTAURANT
Menu
 Convert Data into BigData/Columnar Format
 Access Data in Data lake
 Data Extraction to S3
 Reporting on Data Lake
 Big Data For complex Queries
Data lake
Process Flow
Summary
Performance optimization using Big data
Problem Statement/Inspiration
Strategy for building a Data lake
Thank
You

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Data Lake