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Upcoming events (4)
An introduction to quantum algorithms that starts with a high level overview and then builds the core foundation of understanding to enable further exploration. Concretely, this talk looks at a quantum algorithm called the Bernstein-Vazirani, which classically is solved in O(n) time, but solved with a quantum O(1) algorithm. The talk only requires high school mathematics and logic, explicitly designed for a more gentle introduction than what is typically found in textbooks or online. Kevin Lubick is a software engineer at Google, where he works primarily on the Chrome browser. He is a big proponent of open source software and explaining complex ideas in approachable ways. Previously, he has done research with NASA about how fluids behave in zero-g. When he is not being paid to think, he enjoys recreational thinking in the form of strategic board games.
SQL Saturday is a free, full-day training event that will take place on Saturday, April 27th at Wake Technical Community College's RTP Campus. Registration for the event is free; if you would like lunch at the event, the cost is $15. Please note that you *must* sign up at http://www.sqlsaturday.com/863/eventhome.aspx . We are using that site for registration and not Meetup. It's fine to RSVP on Meetup, but you will also need to register at the SQL Saturday site linked here in order to be on our list.
‘Graph data’ is normally used to describe data that is highly interconnected. Transportation routes, social media friends or connections, organizational charts, genealogical charts, product and customer data, electrical grids and pipelines…the scenarios where you can find them are endless. The most common way graph data is modeled in the relational world is by using many-many-relationships..querying such structures can be very painful and expensive in terms of time and computing power. Modeling it the graph way instead allows for efficient querying, detection of associations and patterns, performing affinity analysis and adding business value in a variety of different ways. There are dedicated graph databases that do this..such as Neo4j..but what if most of your data is in a relational engine already? What if you want to keep the gains of a relational engine such as security, ACID properties and high availability and still do some graph modeling? SQL Server 2016+ supports graph data modeling as well. In this talk on SQL Graph Revealed we will learn about origins of graph theory, components of graph data, and advantages of modeling relationships using graph capabilities of SQL Server. Mala Mahadevan is a senior database professional with over 20 years of experience working with data, primarily in SQL Server and related technologies. She has been volunteering with SQL Server community for the past 15 years and is also a recipient of the PASSion award for being an outstanding volunteer. She is a featured blogger on sqlservercentral.com and also blogs frequently at curiousaboutdata.com. She is active on twitter as @sqlmal.