The Hybrid Data Ecosystem: Are You Battling an Illogical Data Warehouse? Live WebinarWednesdayApril 24, 2015

Today’s Featured Presenter

John L MyersManaging Research Director

Enterprise Management AssociatesJMyers@EMAusa.com

@johnlmyers44

John has over 10 years of experience working in areas related to business analytics in professional services consulting and product development roles. Additionally, John helps organizations solve their business analytics problems whether they relate to operational platforms, such as customer care or billing, or applied analytical applications, such as revenue assurance or fraud management.

Topics

•  What’s Driving Data Management Evolution?•  Internet of Things•  Data Lakes•  Speed of Deployment•  Brief Introduction to SnapLogic •  Where to Go From Here•  Question and Answer

Poll Question #1

Where are you on your big data journey?

A.  Live in Production………...13%

B.  Test and Development…….7%

C.  Still Evaluating…………….27%

D.  Just Researching…………..53%

What’s Driving Data Management Evolution?

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The Buzz Words Of Big Data

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Evolution of Big Data

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Where to Put Information?: Expanding the Data Warehouse

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Hybrid Data Ecosystem

Poll Question #2 What are your primary big data use cases?

A.  Customer analytics………………………….…14%

B.  Operational analytics (machine, devices, etc.)…14%

C.  Data-driven products and services (IoT)……….7%

D.  Fraud and compliance…………………………...0%

E.  Archiving data…………………………………...0%

F.  Other…………………………………………....7%

G.  Don’t know yet/researching…………………...57%

Internet of Things: Rise of the Machines AND Rise of Patterns

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What is the Internet of Things?

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“The Internet of Things (IoT) is a scenario in which objects, animals or people are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.”

“Internet of Things (IoT) is the network of physical objects or "things" embedded with electronics, software, sensors and connectivity to enable it to achieve greater value and service by exchanging data with the manufacturer, operator and/or other connected devices. Each thing is uniquely identifiable through its embedded computing system but is able to interoperate within the existing Internet infrastructure.”

“The Internet of Things (IoT) is a computing concept that describes a future where everyday physical objects will be connected to the Internet and be able to identify themselves to other devices. The term is closely identified with RFID as the method of communication, although it also may include other sensor technologies, wireless technologies or QR codes.”

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Internet of Things Adoption

12-18 Months

0 Months… Now

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Internet of Things: Connected Devices

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Handling the Internet of Things with a Hybrid Data Ecosystem

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Poll Question #3

How are you thinking about big data management/ Hadoop relative to your current enterprise data warehouse?

A.  We want to replace current approaches if possible…………14%

B.  It must complement current approaches…………………….57%

C.  Too soon to say………………..29%

Where to Put This Information: Data Lakes

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Data Lakes: There Is Big Data and There Is LOTS Of Big Data

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Data Lake Obstacles

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Implementing a Data Lake with a Hybrid Data Ecosystem

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Available vs. Ready: Speed of Deployment

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Artistry vs. Assembly

2 Years

8 Hours

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Customizable Applications: Best of Both Worlds

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Design Patterns: Connecting Big Data

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Cloud Becoming More Popular: Where to Implement Hybrid Data Ecosystem

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Today’s Agenda

•  What’s Driving Data Management Evolution?•  Internet of Things•  Data Lakes•  Speed of Deployment•  Brief Introduction to SnapLogic •  Where to Go From Here•  Question and Answer

•  Experienced Team: Leadership from Informatica, Salesforce, Sybase, Cognos, CA

•  Headquarters: San Mateo, California•  Investors: Andreessen Horowitz & Ignition•  Advisory Board: AstraZeneca, HP, Symantec,

Yahoo•  Customers: Adobe, Acxiom, AstraZeneca,

Blackberry, Bloomin’ Brands, CapitalOne, Cisco, Cognizant, Danone, Fox Sports, GamesStop, GE, HP, IDG, iRobot, RocketFuel, Target, Yelp, Uber, USF, Xactly

SnapLogic: Unified Platform to Connect Faster

Why SnapLogic Elastic Integration?

Modern Connected Productive Unified

We can do more in two hours with SnapLogic than we could in two days with traditional solutions.

SnapLogic and the Data Lake Ingest, Prepare, Deliver Big Data

Where To Go From Here?

•  “One Platform to Rule Them All” Won’t Work…

•  IoT and data lakes depend on integration

•  Reach for patterns in the cloud…for speeding time to value

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Big Data Integration in a Snap

@SnapLogic

Facebook.com/SnapLogic Plus.google.com/+SnapLogic

Learn more at !www.SnapLogic.com !!