December 6-7, 2023 | Canada
The 11th Annual Data Analytics for Healthcare Summit returns to Toronto in 2023 with data and technology experts from Canada’s top healthcare organizations. Secure your spot today and:
Hear from industry experts on the latest use cases, both business and clinical, providing you with the ideas and tools needed to apply to your own organization.
Discover the latest innovative technologies to transform your organization’s data-driven strategy.
Establish valuable partnerships for collaboration and data knowledge sharing to futureproof your organization.
Leave with best practices from 30+senior healthcare data executives.
November 7-10, 2023 | UK
Join us for a captivating experience, where you'll have the opportunity to listen to distinguished industry speakers from across the globe. Our speakers will share their profound insights and expertise through compelling keynote presentations, and panel discussions, offering thought-provoking conversations and invigorating talks.
November 14-17, 2023 | USA
PASS Data Community Summit is the go-to conference for data professionals to connect, share, and learn with peers and industry leaders.
Summit happens in the Fall in Seattle, WA, and runs over 5 days, November 13-17. There are two days of Pre-Cons on Monday and Tuesday, and three days for the main conference Wednesday through Friday. Find out more about key timings for the week.
November 12-17, 2023 | USA
At SQL Server Live!, we want to help DBAs, analytics experts, systems administrators, and developers like you do more with your SQL Server and Microsoft/Azure Data Platform investments. We want to help you improve performance, get insights from your data, step up security, and take advantage of new features across the platform. We want you to master reporting, BI, data integration, and developer tools and techniques. We will show attendees how to adopt new techniques, improve old approaches, explore and visualize their data, modernize SQL Server infrastructure and weigh its cloud migration. We teach and demonstrate how to integrate cloud-based data services, run SQL Server technology in the cloud, use Power BI and Analysis Services, and plan for SQL Server recovery and availability.