Using Python With AWS As A Data Engine
Posted by EdmontonPMDec 9
Live Webinar – December 16th 2014, 12:00-1:00 PM EDT
Offered by ASPE (REP 2161) 1 Category A PDU – Free PDU
Note: Although ASPE is an REP presentations may have to be recorded as a Cat C PDU Event – Contact Traci Lester Marketing Specialist at ASPE for more information
Python is a simple, yet powerful language that allows developers to create modern web frameworks, collect and organize massive amounts of data, and perform powerful advanced analytics based upon truly reliable algorithms.
Amazon Web Services is well known as a robust and comprehensive solution for infrastructure hosting. When used together, they provide a powerful, scalable solution for businesses from solopreneurs to the Fortune 100.
In this session, Damian will discuss setting up a basic environment for Python on Amazon Web Services; some of the key ways to interface with your environment, and how to optimize your spending on AWS.
Presenter: Damian Herrick (LinkedIn profile) Triangle data guru Damian Herrick. Damian is a consulting partner on analytics and enterprise data analysis, and he will answer questions about how to maintain high quality standards when we work with our data.
PDU Category C (PMBOK 5) documentation details:
Process Groups: Planning Executing
Knowledge Areas: 5 – Scope 6 – Time 10 – Communications
- 4.2 Develop Project Management Plan
- 5.2 Collect Requirements
- 5.3 Define Scope
As a Category C ‘Self Directed Learning Activity’ remember to document your learning experience and its relationship to project management for your ‘PDU Audit Trail Folder’
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