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.
November 16, 2023 | USA
Architecture is the foundation of every organization's data strategy - it must align with the short and long term goals of the organization whilst creating an environment that supports data collection, processing, analytical & ML workloads.
DataNext Architecture will deep dive into how organizations are using their architecture to create the foundation to become truly data driven. Showcasing how architecture underpins the value that an organization derives from its data initiatives.
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.
April 7-8, 2024 | USA
We believe in creating a memorable, collaborative, and effective experience focused on continuous improvement for Chief Data & Analytics Officers, Chief Data Officers, Chief Analytics Officers, and other top executives in data, analytics, artificial intelligence, business intelligence, IT, and data governance.