August 2020 – Meeting

Session: Curated Data Platform

Speaker: Kevin Feasel (bio)

The breadth of data platform options available to us today is staggering: between relational, object, graph, and document databases, we have a wide array of data storage and processing options. This talk will guide you through the contemporary data platform space and shed light on the way these technologies integrate and compete with one another. We’ll discuss when to use (and when not to use) Spark, Postgres, Airflow, and Flink, as well as a range of other interesting tools and technologies. By the end of this talk, you may not have MongoDB or Neo4J, but you will know where they might (or might not!) fit in your environment.

This will be a virtual meeting. Please register at

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July 2020 – Meeting

Session: The 4 Types of Machine Learning

Speaker: Frank La Vigne (bio)

AI and Machine Learning are all the rage, but did you know that there are at least four different methodologies for computers to learn? Some mimic the human brain, while others are based on statistical modeling, game theory, and more.

This session will explore the basics of Supervised Learning, Unsupervised Learning, Reinforcement Learning, and Transfer Learning in an approachable way. Find out the whens and why’s to apply which type of learning to solve the problem at hand.

This will be a virtual meeting. Please register at

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June 2020 – Meeting

Session: Maintaining the Same Level of utilities in Cloud Deployments

Speaker: Denny Cherry (view bio)

In this session, we will review the differences between deploying Microsoft SQL Server in Microsoft Azure and on-premises from a Security, Reliability, and Scalability perspective.

We’ll review the common mistakes which people make when deploying SQL Server Virtual Machines to Azure, which can lead to security problems, including data breaches.

We’ll review the common performance problems which people encounter, and how to resolve them.

We’ll review the common scalability misunderstandings of Azure and SQL Server Virtual Machines.

This will be a virtual meeting. Please register at

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May 2020 – Meeting

Session: An Intro to Big Data Clusters

Speaker: Mohammad Darab (view bio)

Are you a DBA or data professional working with out-dated technology or feel your skills are quickly becoming irrelevant? Stay ahead in today’s ever changing tech space and take your career to the next level.Join Mohammad Darab this session to explore the cutting-edge technology that SQL Server 2019 has to offer: Big Data ClustersTopics include:-Big Data Cluster architecture and its components such as: Containers, Kubernetes and the newly enhanced Polybase-Unique advantage of SQL Server Big Data Clusters-Data Virtualization, Scale-out Data Marts, and Data Hub concepts.

This will be a virtual meeting. Please register at

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HRSSUG March 2020 Meeting

This Month’s Speaker :

Speaker: Jamie Wick

Title: Monthly Meeting Designing Integrating On-Prem Data with Azure Apps


Azure applications (PowerBI, Power Apps, Flow & Machine Learning, etc) can greatly enhance business processes. Most organizations, however, have already invested in on-premises infrastructure for storing their data (database & file servers). The problem therefore is: How can you use on-prem data sources with cloud-based (Azure) applications?
In this session we will look at using an Azure On-Premises Data Gateway to integrate local (on-prem) data sources with Azure-based applications.


Jamie Wick is the Systems & Database Engineer for The College of William & Mary and has been working with SQL databases for the past 10+ years. His background includes working for several years as a SQL SysAdmin for the University of Queensland (Australia), a Masters degree in Computer Information Systems from Boston University, and assorted Microsoft SQL certifications. He is the Chapter Leader of the Richmond SQL Server Users Group, a volunteer and speaker at regional SQL events (User Groups/SQLSaturdays), helps run the SQLSaturday RVA events, and is an avid photographer

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