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#inspire15
In-Database Blending & Analytics for Scale
Tuesday, May 19, 2015
JC Raveneau, Senior Director of Product Management, AlteryxPoornima Farrar, Product Manager, Alteryx
#inspire15
Agenda
• Discuss use cases for In-Database tools• Demo In-Database tools• Delve into In-Database roadmap
2
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Data SourcesOracle, SQL Server
Blending12 new tools
Ability to stream data in from multiple sources.
Hybrid Workflows
In-Database 9.5
3
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Improve Performance
Leverage Platform Investments
Advanced Queries w/o SQL Code
Why In-Database
Local Storag
e
Federation Engine
Analytics Engine
In-m
em
ory
Colu
mnar
Gra
ph
Spati
al
Pre
dic
tive
SQ
L
Remote
Sources
Delegate execution
4
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Transaction Data/Operations AnalystSpeed
6
• Gather monthly transactions from millions of clients nationwide.
• Use and maintain datasets in SQL Server used for trend analysis.
Business Need
Solution Write to DB
Use In-DB
tools
Connect to DB
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Marketing Research/Data AnalystFlexibility
7
• Obtain responses for marketing promotional materials.• Provide recommendations for new promotions based on that
data.
Business Need
SolutionUse
Non In-DB
Tools
Stream Out to Alteryx
Use In-DB
tools
Connect to DB
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Asset Management/Information Delivery ManagerHybrid Workflows
8
• Gather and maintain data from vendors on customers monthly.
• Evaluate information and generate summaries on the client’s assets.
Business Need
SolutionBrowse
/Write
Use In-DB
tools
Stream In
Connect to DB
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Summary
No SQL Coding needed
Role Data In-DB Benefit
Operations Analyst Transactions Speed
Data Analyst Marketing Research
Flexibility
Information Delivery Manager
Asset Management
Hybrid Workflows
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FAQ
Licensing• Existing licenses: An updated license is required to unlock the In-DB
tools• New licenses: Include In-DB tools by default• No additional cost to licensed Alteryx users
Modifying Existing Workflows• There is no automatic conversion of existing workflows• Start with new workflows, hand pick those worth converting
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Next Release Capabilities
Hadoop & Spark
Additional Platforms
Advanced Analytics
Leverage the latest innovations
Teradata, Redshift
Spark R, Oracle R Enterprise
In-Database Analytics
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