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Upcoming events (4)
Does Azure Data Factory really make data? Of course not, but what it does is allow you to make your data better, stronger, faster without costing $6million. In this presentation you will learn the basics of Azure Data Factory, what it DOES do, the sections of the “factory”, and how to build a basic factory output. You will learn the basic skills of a Data Factory “machinist” and how to rebuild your data.
Leslie Andrews is a Lead Data Architect with 3 Cloud Solutions (formerly Pragmatic Works Consulting), an Azure Certified Data Engineer, and was a[masked] Idera ACE. She obtained her BBA with an MIS concentration from the Anderson School of Management at the University of New Mexico and worked in the public sector for 15 years developing applications, databases, and ETL processes. She enjoys spending time with her family, travelling, climbing, kettlebells, and reading epic fantasy; she is active in the SQL community, and on the Governing Board of a Charter School.
PLEASE NOTE THE DAY OF THE WEEK: THIS WILL BE ON THURSDAY, MAY 20TH!
Join SQL Server Infrastructure Architect and Engineer, Thomas Grohser for this session on how to build and configure a large SQL Server (CPU, Memory, Storage, Network) and how to modify your data model to support the scaling.
The whole talk is based on real world examples with servers as large as 224 cores and over 2 PB of storage.
This introductory session focuses on teaching you the basic concepts of publishing and sharing content in Power BI Service. You will learn about different types of workspaces (My Workspace, Shared Workspace, Premium Workspace) and different user types (Free, Pro, Premium Per User) who can publish content to these workspaces. Next you will learn how you can share your reports either directly out of a workspace or with a Power BI App and when you should be using which method. Finally, you will see examples of sharing in Teams and SharePoint and using subscriptions.
Shabnam Watson is a Business Intelligence consultant and Microsoft Data Platform MVP with 20 years of experience developing Data Warehouse and Business Intelligence solutions. She has worked across several industries including Supply Chain, Finance, Retail, Insurance, and Health Care. Her areas of interest include Power BI, Analysis Services, Performance Tuning, PowerShell, DevOps, Azure, Natural Language Processing, and AI. Her work focus within the Microsoft BI Stack has been on Analysis Services and Power BI.
She is a regular speaker and volunteer at national and local user groups and conferences. She holds a bachelor’s degree in Computer Engineering, a master’s degree in Computer Science, and a Certified Business Intelligence Professional (CBIP) certification by The Data Warehouse Institute (TDWI).