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The Modern Data Warehouse - A Hybrid Story
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facebook.com/perficient twitter.com/Perficient_MSFT linkedin.com/company/perficient The Modern Data Warehouse
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19-Oct-2014 -
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As organizations realize the cost savings and scalability benefits of hybrid solutions, the focus turns to implementing your analytic platforms in these new environments. On-premises vs. cloud is the major decision point, but what about ‘traditional’ disk-based storage and computing vs. in-memory? Join Perficient’s director of Microsoft business intelligence, Duane Schafer, for a discussion on the business benefits of these topics, and discover how SQL Server 2014 and Microsoft Azure can be leveraged to build the modern data warehouse.
Transcript of The Modern Data Warehouse - A Hybrid Story
facebook.com/perficient twitter.com/Perficient_MSFTlinkedin.com/company/perficient
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”
Stressors to the Traditional DW
- TDWI, “Evolving Data Warehouse Architectures in the Age of Big Data Analytics”, 2014
Stressors to the Traditional DW
A Modern Alternative
A Modern Alternative
A Modern Alternative
A Modern Alternative
A Modern Alternative
A Modern Alternative
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
New Capabilities
New Capabilities
New Capabilities
New Capabilities
New Capabilities
New Capabilities
Connect with Perficient
Thank you for your timeand attention today.
Please visit us at Perficient.com
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