Datameer aims to simplify big data analytics with features such as wizard-led data integration, a point-and-click analytics interface, and drag-and-drop visualizations accessible on any device. The platform offers optimized mapreduce and in-memory processing to enhance efficiency, addressing limitations of traditional data analytics methods. Their solution integrates various data sources and provides sophisticated analytics without requiring complex ETL processes.

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Datameer’s Vision!
Make big data analytics
simple for everyone

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What Datameer Offers!
Wizard-led Data Integration!
• No ETL!
• 59 Connectors + plug-in API!
• Smart Sampling!
Point-and-click Analytics!
• Interactive spreadsheet UI!
• 270 pre-built analytic functions!
• Macros & function plug-in API!
Drag-and-Drop Visualization!
• Blank canvas for design !
• HTML5, consumable on any device!
• Visualization plug-in API!

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Smart Analytics!
Column Dependencies
Decision Tree
Recommendation Engine
Clustering

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Where does Datameer sit?!

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Classic Business Analytics Data Flow !

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New Business Analytics Data Flow!

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Datameer On Premise Installation!

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Datameer Implementation - Cloud!

10. © 2014 Datameer, Inc. All rights reserved.
! Stefan Groschupf
CEO, Co-Founder!
Problem

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Typical Data Analytics Funnel
Raw Data (TB-PB)
Insights (KB)
! More sophisticated
! Less change
! High value
! Power users
! Planned / scheduled
! More ad hoc
! More change
! High & low value
! Casual users
! Interactive sessions
5 - 15 steps,
iterative algorithms
Explore
Summarize
Prepare
Learn
Aggregate
Present
Slice

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Raw Data (TB-PB)
Insights (KB)
Map Reduce
• Inefficient for small data!
• High latency!
Current Approaches: Either - Or
Raw Data (<TB)
Insights (KB)
In-Memory
• Only small data!
• Very expensive!
• Not Hadoop!
Not
New

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Small Data, Big Machine
VS

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600h Spent on Jobs < 100MB!

15. © 2014 Datameer, Inc. All rights reserved.
! Stefan Groschupf
CEO, Co-Founder!
Our Solution

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Smart Execution
Raw Data (TB-PB)
Insights (KB)
New
Optimized
MapReduce
In-Memory
Single
Node

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Architecture
Hadoop
MapReduce
Dataflow Graph Engine
YARN
Smart Execution Engine
In-Memory
Tez
Others
Data Integration
Visualization
Spreadsheet
Other
(SQL)
Single Node

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Workflow
Data Sets
System Resources
Optimized!
MapReduce!
Single Node!
In-Memory!
Future!
Technology!
Analytics

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DAG Processing
vs.!

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Transparent for End Users

21. @Datameer!