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 https://www.eventbrite.com/e/hampton-roads-sql-server-user-group-july-meeting-online-tickets-112843323418
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 https://attendee.gotowebinar.com/register/5136873652604469262
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 https://attendee.gotowebinar.com/register/1043272014286176525
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
This Month’s Speaker :
Speaker: John Morehouse
Title: Monthly Meeting Designing Azure Data Disaster Recovery Strategies
In an on-premises world many organizations did not have the option of multiple data centers or were limited in what that they could protect from disaster. Moving to the cloud evolves many technologies—disaster recovery being one of the most prominent ones. It can be quick and easy to protect your application in multiple regions worldwide. For any critical application disaster recovery should be at the forefront of your planning. The cloud does not change this. In the event of a regional outage, you still need to meet your recovery objectives. If you aren’t prepared for this failure, the downtime could be costly. In this session we will examine the ways to help protect your Azure Data footprint from outages. You will learn about strategies with Azure SQL Databases, virtual machines, and Managed Instances as well as how to protect your application tier. At the end of the session you’ll have a better understanding on how to ensure your data in the cloud is protected from failure.
John Morehouse is currently a Consultant with Denny Cherry & Associates living in Louisville, Kentucky. With over 2 decades of technical experience in various industries, John now focuses on the Microsoft Data platform and specializes in Microsoft SQL Server. He is honored to be a Microsoft Data Platform MVP, 2016 Idera Ace, Friend of Red Gate, Sentry One PAC member & Community Ambassador. John has a passion around speaking, teaching technical topics and giving back to the technical community as much as possible. He is a user group leader, SQL Saturday organizer, and former PASS regional mentor. He is also a blogger, avid tweeter, and a frequent speaker at SQL Saturday’s as well as other conferences. If you want to find John, you can find him on Twitter (@sqlrus) or on his blog, https://sqlrus.com.