Denver SQL Server User Group Meeting – Oct 2018
Please join us for the Denver SQL Server User Group meeting!!
October 18, 2018
5:30 – 8:30
7595 Technology Way Suite 400
Denver, CO 80237
5:30 – 6:00 Food / Socializing
6:00 – 6:15 User Group Business
6:15 – 6:30 Open panel/Questions & Answers
6:30 – 7:00 Warmup presentation
7:00 – 8:30 Main presentation
30 minute presentation:
Creating Effective Dashboards and Pitfalls to Avoid
Having an efficient dashboard with comprehensive visualizations is vital for users to quickly assess the status and performance of the situation so that they can achieve their objective and analysis more quickly. Creating dashboards is not something that should haphazardly be created, and should be planned out with specific objectives and metrics in mind. This presentation will go over many of the potential pitfalls and problems with designing dashboards and visualizations that need to be avoided.
William is a Data Engineering Consultant for Datalere where he leverages his experience to craft effective visualizations and dashboards. In addition to developing dashboards that tell a story, he is deeply involved in wrangling data and developing scalable applications.
Data Processing Options in Azure
Are you aware of the PaaS and serverless options for data orchestration, ingestion, and transformation in Azure? There are different tools for streaming, batch processing, and data transformation, allowing you to choose the best tool for the job and then integrate the pieces. We’ll have an overview of the tools and a closer look at the most common tools along with a demo.
Meagan is a Solution Architect and Microsoft MVP who helps people understand their data and use it to learn and make good decisions. She works mostly with the Microsoft BI stack, doing everything from data modeling and data warehouse design to Analysis Services models to data visualization. From time to time, Meagan also dabbles in Tableau. Check out her blog at https://datasavvy.me for interesting links, knowledge, and experiences with BI tools and concepts.
Questions? Send an email to email@example.com.
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