Live Webinar – September 26th, 2018 1:00 pm – 2:00 pm EDT
Activity Type: Education – Course or Training  1 Hour  1 PDU
Provider: SD Times (Software Development Times)

As containers become commonplace for delivering and deploying applications, we’ve seen more of our customers taking a “lift-and-shift” approach to migrating their existing applications.

In this session, Patrick Maddox, Sr. Director, Twistlock Solutions Architecture, will reveal how an environmental science and engineering consulting company moved its 14-year-old app that models storm surge to containers. The move to containers for this company — which has typical data collection, modeling, and other core line-of-business applications — delivered immediate benefits, including consistency, security and compliance.

Attendees will learn:

• How the move to containers simplified and improved the security of this application
• Specifics about how containers lowered expenses, while enabling greater visibility into the vulnerability posture of the app throughout its lifecycle
• Why containers make compliance instantly easier, by enabling organizations to find and correct problems early on, enforce settings and automatically block non-compliant actions

Presenter: Patrick Maddox (LinkedIn profile) Sr. Director, Twistlock Solutions Architecture Prior to joining the Twistlock Team, Patrick spent the 4 years building the SA and PS practices at Puppet and wearing a number of different hats at Verizon. 

Click to register for:
Leveraging Containers For Improved Security

NOTE: For PMI® Audit Purposes – Print Out This Post!  Take notes on this page during the presentation and also indicate the Date & Time you attended. Note any information from the presentation you found useful to your professional development and place it in your audit folder.

Live Webinar – September 25th, 2018 3:00 pm – 4:00 pm EDT
Activity Type: Education – Course or Training  1 Hour  1 PDU free
Provider: Training Magazine Network

In this webinar Deb Gerstenfeld will focus on best practices for employing virtual simulations and case studies for the most effective use in distance learning situations.

This session addresses specifics on the role of virtual offerings in corporate learning programs, and the process to customize the timing of virtual deliveries with company-specific requirements to align with the overall learning objectives across a geographically dispersed population.

During this webinar you will:

• Learn where and when simulations can most effectively be implemented
• Discover when not to use virtual simulations — and why
• Better understand the role of virtual components in your learning programs

Presenter: Deb Gerstenfeld (LinkedIn profile) Project Manager/Training Facilitator, TRI Corporation specializes in corporate education, experiential leadership and simulation programs to help organizations develop leaders, sharpen financial acuity, and improve executive business acumen. Deb has led both in-residence and virtual development programs for numerous TRI clients over the past 18 years.  Prior to joining TRI, Deb held a variety of finance roles during her 12 years at GE.

Click to register for:
Virtual Simulations:
How, When & Where To Do It Best

NOTE: For PMI® Audit Purposes – Print Out This Post!  Take notes on this page during the presentation and also indicate the Date & Time you attended. Note any information from the presentation you found useful to your professional development and place it in your audit folder.

Live Webinar September 25th, 2018, 11:00 am – 12:00 pm EDT
Activity Type: Education – Course or Training  1 Hour  1 PDU
Provider: Gartner Webinars

The traditional data warehouse still forms the foundation of analytics programs.

However, as demand for new data types and use cases increases, data warehouse architecture must evolve to meet these demands in both distributed and centralized solutions.

Advanced architectures like the logical data warehouse help make this a reality.

In this webinar Rick Greenwald (LinkedIn profile, Gartner bio) Gartner Research Director  helps you choose the optimal platform and architecture for your analytics needs.

Discussion Topics:

• Address the increased scope and breadth demanded by today’s analytic platforms
• Determine if traditional data warehouse platforms still have a place
• Build an architecture that leverages the traditional data warehouse and newer platforms

Click to register for:
Beyond The Data Warehouse:
New Data Management For Analytics

NOTE: For PMI® Audit Purposes – Print Out This Post!  Take notes on this page during the presentation and also indicate the Date & Time you attended. Note any information from the presentation you found useful to your professional development and place it in your audit folder.

Live Webinar September 27th, 2018 1:00 PM – 2:00 PM EDT
Activity Type: Education – Course or Training  1 Hour  1 PDU free
Provider: O’Reilly

In the field of data analytics, there is a clear trend from batch-oriented systems towards streaming analytics pipelines. Such streaming pipelines can also serve as a more general building block for data-intensive applications.

These trends have, of course, impacted the development of streaming systems. This, in turn, has implications for best practices around building streaming analytics pipelines.

Building a scalable, fault-tolerant, low-latency streaming analytics pipeline remains challenging.

1. Which is the best combination of the many different tools?
2. How should you configure and connect different pieces?
3. How can you scale the pipeline with growing or shrinking data? H
4. ow are different failure scenarios handled?

Learn about:

• The latest development in streaming analytics.
• What different architecture options you have for your streaming analytics pipeline.
• How to choose the best tool for your use case.
• How to connect these different tools to a scalable and fault-tolerant system.
• How are different failure scenarios impacting the overall architecture and how can they be solved quickly.
• How to scale the pipeline while using the underlying infrastructure efficiently.

Presenter: Jörg Schad, (LinkedIn profile) is a Technical Lead for Community Projects at Mesosphere in San Francisco. His speaking experience includes various meetups, international conferences, and lecture halls.

Click to register for:
Real-world Data Streaming Practices For Building Data-Intensive Applications

NOTE: For PMI® Audit Purposes – Print Out This Post!  Take notes on this page during the presentation and also indicate the Date & Time you attended. Note any information from the presentation you found useful to your professional development and place it in your audit folder.