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Peter Travkin
  • Male
  • Toronto
  • Canada
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Profile Information

Short Bio
For over 10 years I have been involved in extensive field practice of translating business and technical requirements into end-to-end Analytics solutions across multiple industries with a strong focus on Big Data for the last 4 years.
As an Implementation Lead and Data Architect I accomplished over 30 projects involving both traditional BI and Big Data technologies. My Big Data project portfolio includes Customer 360 Analytics, Big Data Lake and DWH optimization, Stream Analytics on Machine Generated Data and Data Governance.
I have deep expertise with multiple Data Integration and Visualization tools, Big Data frameworks, relational and NoSQL technologies.
I always follow cutting-edge emerging trends and technologies in analytics space and look for opportunities to put them into practice.
I am TOGAF Foundation certified in Enterprise Architecture and a certified Professional Scrum Master in Agile delivery with practical experience of applying these frameworks to the solution development.
My Web Site Or LinkedIn Profile
http://ru.linkedin.com/in/petrtravkin/ru
Professional Status
Consultant
Years of Experience:
12
Your Job Title:
Big Data Solution Architect
How did you find out about DataScienceCentral?
LinkedIn
Interests:
Networking
What is your Favorite Data Mining or Analytical Website?
http://practicalanalytics.co
What Other Analytical Website do you Recommend?
http://flowingdata.com

Peter Travkin's Blog

Adopting Self-Service BI with Tableau - Notes from the field

Posted on March 7, 2016 at 4:30am 0 Comments

Part 1. Business scenarios.

I have spent many hours planning and executing in-company self-service BI implementation. This enabled me to gain several insights. Now that the ideas became mature enough and field-proven, I believe they are worth sharing. No matter how far you are in toying with potential approaches (possibly you are already in the thick of it!), I hope my attempt of describing feasible scenarios would provide a decent…

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