You don’t need to be a data scientist but it helps!

J. Travis Turney, MBA

Co-founder @DataScienceATL

Big Data Product Management

Vision What does success look like?

Data What data do you have/need?

Tools What do you need to get there?

Execution Who’s going to make it happen?

Vision

What is the business problem you need to solve?

Revenue growth?

Cost control?

What valuable answers are you seeking in the data?

Know your data!

How large is the data to be stored?

How large is the data to be queried?

What time frame is appropriate for the response?

How fast is it arriving (bursts or continuously?)

Figure provided courtesy of Brad Anderson, Solution Architect,

Tools – Structured dataStructured Query Language (SQL)

Tools – Unstructured (NoSQL)What if your data isn’t structured?

Tools – Unstructured (NoSQL)NoSQL vendors

Tools – Streaming

Tools – Batch processingHadoop – “Horizontally scalable” distributed

platform

Execution – How to get started?

SQL skills are everywhere. Lots of talent. Easy to hire.

Hadoop skill set growing but talent can be expensive

NoSQL talent is rarer than Hadoop

Streaming skills may be the most rare

So Where Can I Find Talent?

@DataScienceATL meetup

Monthly events with local data science thought leaders

Great opportunities to sponsor, network, & recruit!

www.meetup.com/Data-Science-ATL/