Notebooks 101 for SQL People ~ Julie Koesmarno & Barbara Valdez
Online event
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Details
WHEN:
Wednesday, July 28th, 2021, 1800 GMT
DESCRIPTION of TALK
Notebooks 101 for SQL People
Are you a data analyst, a database administrator or a data engineer? Do you find spending quite a bit of time trying to do analysis, reproduce analysis or reproduce issues? This session is for you!
The lack of rigor in being able to reproduce analysis in business context or to reproduce data troubleshooting can lead to confusion and time wasted on work that had been previously done. With Jupyter Notebooks in Azure Data Studio, Data Professionals can share their techniques and their analysis for auditing, code reviews, onboarding guides / learning and documentation. You will learn how to get started with Notebooks and how to use some of your favorite languages such as SQL, PowerShell, Kusto Query Language (KQL), .net and Python in Jupyter Notebooks in Azure Data Studio.
We will also take a look at how Notebooks can help you learn new features, easy deployment of Azure resources and discover community-based troubleshooting guides for SQL Server and Azure SQL.
ABOUT THE SPEAKER
Julie Koesmarno is a Principal Program Manager at Microsoft, for the SQL Tools and Experiences team. She has worked in Data Management, Data Warehouse and Big Data Analytics solutions both on-premises and cloud over the past decade. She's currently working on Azure Data Studio improvements for modern data professionals. She is a regular speaker for user groups and conferences such as SQL Saturdays, PASS Summit and SQL Bits. She is a co-author of SQL Server 2017 Machine Learning Services with R. http://MsSQLGirl.com.
Barbara Valdez is a Software Engineer at Microsoft working for SQL Tools and Experiences on Azure Data Studio.
In her two years at Microsoft, she has worked on Azure Kubernetes service migration and on data ingestion pipelines for Incident Detection services.
She is currently working on the "Notebooks” Team and specializes on integrating Jupyter Books to Azure Data Studio.
