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.
September 7, 2023 | Australia
As organisations continue to disrupt their industries through better use of data, it has never been more crucial for business leaders to understand how data in and around the organisation can transform business models.
The Data & Analytics Summit will bring together senior data and analytics leaders from across different industries, for a strategic conversation around how businesses can leverage the latest tools to manage large amounts of diverse information faster, improve processes and achieve wider business objectives.
October 17, 2023 | UK
To effectively manage the explosion of data volumes and deliver high-performance analytics, many businesses are choosing to move to a data lakehouse, an architecture that combines the flexibility and scalability of data lake storage with the data management, governance, and analytics capabilities typically associated with a data warehouse.