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Gail Z Associates, LLC
Big Data Reference Architecture and Startup Strategy
Dr. Gail Zhou
Gail Z Associates, LLC
February 2014 LinkedIn:
http://www.linkedin.com/in/gailZhou Email: [email protected]
Gail Z Associates, LLC 2
Gail Z Associates, LLC 3
Gail Z Associates, LLC
Big Data Challenges,
Suggested Startup Strategy
4
Gail Z Associates, LLC
Business urgency, time to market pressures
Big Data start up needs careful planning
Big Data needs infrastructure, software stacks, people, start up plan
Lack of Big Data Resources, Lack of Sponsorships (except in some companies)
Big Data is complex and multiple skill sets (mostly new to many companies) – Infrastructure, Administration, Security, Programming, Testing, etc.
Skepticism about Big Data
Integration with Existing Technologies and Systems
Can not develop isolated big data solutions
Integration with existing systems will be a top challenge (requires both sides to do additional work)
Open Sources: Stability, Maturity, and Security
Big Data Start up Challenges
Gail Z Associates, LLC
Full business needs and information requirements analysis. Business Drivers
Revenue generation? Cost reduction? Customer retention? Compliance?
Process Improvement? Fraud detection? Analytics? Dashboard?
Solving a tough problem? Retiring/replacing technologies and systems?
Technology Evaluation and Selection
Define requirements and objective first
Evaluation a variety of technology stacks – develop a framework first
Executive Support for Start up Resources
Prototyping, Discovery, and Planning
Rent Infrastructure in Cloud – VMWare, Amazon EC2, and others
Use Spare Hardware and Network Bandwidth
Assessment, Proposal. Project/Program Plan for next steps
Start small and keep delivering
Architecture Design, Estimation, Business Case
Obtain funding and executive sponsorships, owners, etc.
SDLC, don’t forget Hardware, Security, Testing, etc.
Suggested Big Data Start up Strategy
