January 18, 2024 | USA
Cloudera Now, our quarterly virtual event, is designed for all data practitioners including data scientists, data engineers, and analytics professionals who want to learn about our latest and greatest product innovations. Through comprehensive demos, customer use cases, and interactive Q&A, attendees will gain new skills and knowledge to bring back to their organizations.
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.
April 9-11, 2024 | USA
The Analytics and Data Summit 2024 will take place at the Oracle Conference Center in Redwood Shores, California April 9-11, 2024.
The three-day summit is organized and managed by the Analytics and Data Oracle User Community. The conference features keynotes by industry experts, educational sessions by practitioners and developers, hands-on labs, and networking events.
It is an intimate conference that allows speakers to connect with their audiences on a more personal level. It is a great conference to build your network and make lasting connections in the industry.
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.