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Hands-on with an open source, serverless
Data Warehouse for MongoDB
Builders Fest
BY
Mark Clancy, CEO
Stuart Shiell, Data Scientist
June 19, 2019
“Analytics is the discovery, interpretation, and
communication of meaningful patterns
in data; and the process of applying those
patterns towards effective decision making.”
-- Wikipedia
Agenda
• Introduction
• What you are going to learn
• Why are you here? What is your typical stack?
• Hypothesis --- Approach to building data warehouses needs to change
• Data Warehouse Architecture & Technology Stack
• Hands-on Session
• Open Source
• Questions
Hypothesis – New Approach Delivered
Traditional
ü Over budget
ü Missed deadlines
ü Armies of consultants
ü Waterfall methodology
ü One tool to rule them all
ü Big iron
New
ü Under budget
ü Met deadlines
ü Few, strong resources
ü Agile approach
ü Providers of choice
ü Moderate computing $
Data
Warehous
e
Data Warehouse
Architecture
Data
WarehouseSystem
A
IOT
Device
System
D
Σ
API
API
Analytics
Tool
System
B
Σ
Analytics
Tool
Σ
ML
Data Warehouse
Apps - React
API
Data
Source
API
Technology Stack
Data
Source
Data
Source
Data
Source
Data
Source
Adapters Adapters Adapters Adapters Adapters
Hands-on Session
Open Source
• Available TODAY!
• node.js source code
• API to insert data into your data warehouse
• API to retrieve data from your data warehouse
• Instructions on setting up MongoDB Atlas & AWS
https://github.com/IGENO/data-warehouse-mongo-serverless
About igeno
mark@igeno.com
stuart@igeno.com
Questions / Discussion

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