The venue this year is William Peace University. If you haven't been there before, here is an overhead shot of the campus with important parts marked.
We will be in the Flowe Academic Building. The easiest way to come in is via Peace Street, taking a left before Blount Street and into the primary parking lot. If it is full, there is a secondary parking lot off of Halifax Street or Franklin Street. We will have signs directing the way but please take a moment to review the map above in case you end up parking in the secondary (north) parking lot.
Once again this year, we will host the SQL Clinic in Flowe 110. Stop by and ask our panel of roving experts your questions about application performance, architecture, or even career advice. The Clinic will be staffed throughout the day with volunteers drawn from speakers and experts in the community.
We are pleased to offer 2 full-day workshops on Friday, April 13th:
Architecting a Data Lake - Melissa Coates
This full-day session on Friday, April 13, 2018, will focus on principles for designing and implementing a data lake. There will be a mix of concepts, lessons learned, and technical implementation details. This session is approximately 70% demonstrations: we will create a data lake, populate it, organize it, query it, and integrate it with a relational database via logical constructs. You will leave this session with an understanding of the benefits and challenges of a multi-platform analytics/DW/BI environment, as well as recommendations for how to get started.
Linux Power Pre-Con For The DBA - Kellyn Pot'vin-Gorman
In this pre-con, attendees will arrive with their laptops with Docker and the Linux image of SQL Server 2017 ready to go. The image and instructions can be found at https://docs.microsoft.com/en-us/sql/linux/quickstart-install-connect-docker. We'll use Docker and the newest SQL Server 2017 image to go from the A to Z of Linux, learning how to navigate, manage and manipulate Linux. We'll learn best practices surrounding file systems, security and database management. Once we've become comfortable with the basics, we'll move onto more advance features and tools that have become the savior of DBAs working on Linux/Unix system for decades.