Published on February 28, 2014
Big Data Reference Architecture and Startup Strategy Dr. Gail Zhou Gail Z Associates, LLC February 2014 LinkedIn: http://www.linkedin.com/in/gailZhou Email: firstname.lastname@example.org Gail Z Associates, LLC
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Big Data Challenges, Suggested Startup Strategy 4 Gail Z Associates, LLC
Big Data Start up Challenges 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 Gail Z Associates, LLC
Suggested Big Data Start up Strategy 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. Gail Z Associates, LLC
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