The 7 Habits of Highly Effective Data Warehouses - Jason Horner

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The 7 Habits of Highly Effective Data Warehouses - Jason Horner

Many data warehouses fail to live up to the business user's expectations. Data warehouses can suffer from a variety of problems including distrust in the data, taking too long to implement, slow performance, and lack of discoverability. In this session, we explore the seven habits that will help ensure that your data warehouse is used and loved by end-users.

Jason Horner is an independent consultant and trainer focused on the Azure Data Platform. He spends most of his day helping clients solve business problems mostly in the Data and Advanced Analytics spaces. Sometimes this involves various and sundry cloud technologies including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Store, Azure Databricks, HDInsight and Azure SQL Database. He is fluent in several languages including: SQL, C#, Python, and PowerShell.

Jason is a Microsoft Certified Master of SQL Server (MCM) and has been recognized for his technical excellence and evangelism efforts by Microsoft by being awarded the Most Valuable Professional (MVP) for the last 6 years.

You can find Jason on Twitter and LinkedIn:
Twitter: https://twitter.com/jasonhorner
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