Abstracts

Preparing your business for data science

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Target Audience: Senior folks who’d be responsible for or involved in a data science initiative Abstract: So you’re thinking about doing implementing data science project in your business? You might be considering one or all of these options: Hiring a data scientist Using existing staff Engaging a consultant Like with most things in business, if…
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Data + Docker = Discombobulating?

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Target Audience: Anyone wondering what containers are and how we can safely store data in them. Abstract: If you’re like me, you like your data to stick around for a long time and most importantly you want to know it’s safe. In the Docker world, there’s the maxim of “never patch”, always make a new…
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R for reporting

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Target Audience: This talk translates a standard reporting workflow into R – it’s good for anyone involved with making reports! Abstract: R is for data science! Or is it? R is actually a really nice, practical language that you can use to do ETL and reporting. You can do it for free and you don’t…
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War of the Indices- SQL Server vs. Oracle

Target Audience: DBAs and Developers, (but those most likely to suffer sado-masochist or self-harm tendencies) Abstract: This is an exercise in the love of learning and the love of databases technology.  Based off trusted measurements in each platform, we’ll dig into how the use case was built, the similarities and the differences in each database…
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Azure SQL Data Warehouse : 101

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Target Audience: Data Platform Engineer or Data Platform Consumer looking to understand the basic concepts of Azure Data Warehouse ahead of implementing a solution on the technology. Abstract: Azure SQL Data Warehouse is maturing rapidly and becoming a serious option for both Microsoft Azure, and hybrid data platform solutions looking for analytics capability. Many businesses have…
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An (Advanced) Introduction to DAX

Target Audience: This is for business intelligence developers new to DAX formulas. Abstract: If you are planning on working with Power BI, PowerPivot, or SSAS Tabular, you are going to need to learn DAX. DAX looks like some frankenstein child of Excel formulas and SQL. Unfortunately this can lull new developers into a false sense…
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SQLDockit – SQL inventory and best practices on steroids

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Target Audience: The session is intended for DBAs, sysadmins who happen to manage SQL as well. Abstract: When we created SQLDocKit we wanted to have powerful inventory tool where you can compare snapshots over time and when you inventor all your servers to compare them with industry best practices. Most important stuff: auto discover new…
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