The Modern Data Warehouse - A Hybrid Story

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The Modern Data Warehouse

Perficient is a leading information technology consulting firm serving clients throughout

North America.

We help clients implement business-driven technology solutions that integrate business

processes, improve worker productivity, increase customer loyalty and create a more agile

enterprise to better respond to new business opportunities.

About Perficient

• Founded in 1997

• Public, NASDAQ: PRFT

• 2013 revenue ~$373 million

• Major market locations throughout North America• Atlanta, Boston, Charlotte, Chicago, Cincinnati, Columbus,

Dallas, Denver, Detroit, Fairfax, Houston, Indianapolis, Los Angeles, Minneapolis, New Orleans, New York City, Northern California, Philadelphia, Southern California, St. Louis, Toronto and Washington, D.C.

• Global delivery centers in China, Europe and India

• >2,100 colleagues

• Dedicated solution practices

• ~85% repeat business rate

• Alliance partnerships with major technology vendors

• Multiple vendor/industry technology and growth awards

Perficient Profile

BUSINESS SOLUTIONSBusiness IntelligenceBusiness Process ManagementCustomer Experience and CRMEnterprise Performance ManagementEnterprise Resource PlanningExperience Design (XD)Management Consulting

TECHNOLOGY SOLUTIONSBusiness Integration/SOACloud ServicesCommerceContent ManagementCustom Application DevelopmentEducationInformation ManagementMobile PlatformsPlatform IntegrationPortal & Social

Our Solutions Expertise

Our Microsoft Practice

Duane Schafer, Director of National Microsoft BI Practice at Perficient

With nearly 20 years in technology consulting, BI architectures, and solution sales including hybrid cloud and DW appliance architectures, Duane is responsible for strategy assessments including EIM, BI, MDM and governance, solutions architecture, and management of key client engagements – as well as BI/DW architecture, analysis & training in Microsoft BI stack.

Our Speaker

• The Traditional DW

• DW Stressors

• A Modern Alternative

• New Capabilities

Agenda

The Traditional DW - Defined

• Server and DBMS

• Methodology for loading data (ETL vs. ELT) • “clean stage vs. dirty stage”

• Methodology for storing data (Kimball vs. Inmon)• DW vs. DM

The Traditional DW - Defined

• Methodology for archiving data (never)• ODS + DW = HUB• “Historical and non-volatile”…

• What is history?

“I think… I am history therefore… I’m history?”

The Traditional DW - Architectures

Logical Architecture – Mostly concerned about the representation of data back to the end user. Included abstraction/semantic layers, methods of access, etc.

Physical Architecture – Mostly concerned about the storage and structuring of data. Included indexing (or not) plans, schemas for security, auditing for data, etc.

However, the general consensus is that the DW is one platform that serves a primary workload.

- “Reporting and analytics”- Schema driven- Dimensional aspect to it- “One repository of truth”

Stressors to the Traditional DW

“… data warehousing has reached the most significant tipping point since its inception. The biggest, possible most elaborate data management system in IT is changing. “

- Gartner, “The State of Data Warehousing in 2012”

- TDWI, “Evolving Data Warehouse Architectures in the Age of Big Data Analytics”, 2014

A Modern Alternative

Check Point

How does this affect our ‘traditional’ DW approach?

• Original work load is still covered • Staging, ETL, schema based repository

• Original version of the truth is still in place• No need to rip and replace

• New work load capabilities have been added• Staging / archiving has been expanded• ETL has more capacity• Multi-schema based analysis is available

• The EDW is becoming a hybrid analytic platform

New Capabilities

Connect with Perficient

Thank you for your timeand attention today.

Please visit us at Perficient.com

The Modern Data Warehouse - A Hybrid Story

Technology