September 2020: How VPNs Work- The Ins and Outs

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Presented by Daniel Lenski, PhD


Virtual private network (VPN) software creates a connection between peers across a wide-area network (normally, the Internet!) and builds an encrypted tunnel that behaves like a direct connection to the same local, private network. VPNs have become a pervasive feature of modern workplaces, and even more indispensable in this era of COVID-19 and widespread remote work.

The most widely-deployed VPN client and server software in workplace environments — including Cisco AnyConnect, Juniper/Pulse Networks, PAN GlobalProtect, and others  — is all proprietary and closed-source. These VPNs differ in idiosyncratic ways, ranging from authentication to security requirements imposed on the client computers. Combined with bugs, missing features, and often mystifyingly vague error reporting, they can be very difficult to use, especially for those who need to access multiple VPNs. Under the hood, however, they all work in extremely similar ways.

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A Check-in With DAMA International

NOTE: This event has been postponed

Presented by Peter Vieveen & Lindy Kresl, Board Members DAMA International


What is DAMA? What are some of the benefits our chapter receives with our affiliation? Here’s your chance to learn about the resources, certifications and discounts our DAMA-I membership provides.

Featured Speakers: DAMA-I board members Peter Vieveen (VP of Chapter Services) & Lindy Kresl (VP of Operations)

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June 2020: Predictive Analytics with BigQuery ML

Presented by Jimmy Ruiz, Google Cloud Platform Engineer


  • What is BigQuery?
  • BigQuery Architectural Overview
  • BigQuery Demo
  • Introduction into BigQuery ML
  • Demo: Predict GA 360 User Conversions with BigQuery ML

In this session, a Customer Engineer from Google will provide an introduction to BigQuery and BigQuery ML. Attendees will learn some key concepts, use cases, and see BigQuery in action.

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May 2020: Data Prep using Microsoft Dataflows

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Presented by Dharmesh Godha, Advaiya


Preparing and defining ETL for insights is a significant challenge for businesses today — as ingestion, cleansing, transformation, and enrichment are labor-intensive and time-consuming tasks which require deep technical skills.

With this in mind, Microsoft has recently introduced advanced data prep with dataflows for the Power Platform, a suite of self-service low-code/no-code features and capabilities for business analysts and citizen developers to easily process and unify their data and store it in Azure-based data-lake storage. With these new capabilities, Microsoft offers a solution for any business need — whether you want to prep your data with ease, using a familiar built-in Power Query experience, or leverage the full Azure stack for more advanced use-cases.

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