Chris Seferlis
Transforming Business by Architecting Cloud and Data Solutions that immediately provide value
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Chris Seferlis is a Sr Data and AI Specialist at Microsoft. He has 20+ years’ experience working in IT and solving technical challenges from a business perspective. Chris is a former CIO with an MBA from UMass, bringing a mix of business acumen with practical technology solutions, primarily focusing on Business Intelligence within the Microsoft SQL stack, including MCSA and MCT.
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Azure SQL Managed Instances - A *mostly* full-featured SQL Server in the Cloud
In this session we will compare the offerings of Azure SQL Databases, then dig in and show what separates SQL Managed Instances from the rest. We’ll take a look at challenges that previously prevented migrations to Azure, the current features available, some common architectures, and backup and restore options.
Azure Databricks – What makes it better?
In this session we will explore the differences between Databricks and its foundation Spark, how easy it is to get started, what the Azure difference is, what the architecture consists of and common workloads in which we’re seeing it being used.
Azure Data Factory Data Flows - Bringing the "T" in ELT
In this session we will demonstrate the latest feature of Azure Data Factory, Data Flows, the missing piece in the Extract Load and Transform process. We will cover the different functions available in "Limited Preview", and how they will help you to build a robust ELT Pipeline in Azure. Some prior experience with Data Factory, at least conceptually, would be beneficial for those attending.
The Modern Data Warehouse and Azure
In this session we will discuss how Azure is changing the approach to Data Warehousing and in some pretty dramatic ways. You can expect to learn how the Microsoft Reference Architectures are enabling organizations to deploy their data warehouses with virtually limitless scale and flexibility.
Boston Area Global Azure Bootcamp Sessionize Event
Chris Seferlis
Transforming Business by Architecting Cloud and Data Solutions that immediately provide value
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