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In-Database Blending & Analytics for Scale

Tuesday, May 19, 2015

JC Raveneau, Senior Director of Product Management, AlteryxPoornima Farrar, Product Manager, Alteryx

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Agenda

• Discuss use cases for In-Database tools• Demo In-Database tools• Delve into In-Database roadmap

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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

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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

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Use Cases

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Transaction Data/Operations AnalystSpeed

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• 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

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• 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

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• 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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Demo & Tools Overview

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FAQ and Roadmap

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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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THANKSTHANKSQuestions?

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THANK YOU!

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