Strategies for Effective AI and Analytics Architectures in Hybrid and Multi-Cloud Environments
In today's data-driven landscape, addressing fragmented data across on-premises, cloud, and edge environments is crucial for practitioners and companies seeking actionable insights. How do you break down data silos? How do you bring analytics and AI deployments to production? Explore best practices and challenges, understand how to access and process any data type or format, regardless of location, and integrate external NFS and S3 data sources.
Join us for a roundtable on strategies aimed at optimising data lakehouses, offering a unified data view for analytics and AI, and ensuring consistent security and compliance. We've brought together expert cloud and data professionals to discuss architecting data lakes and analytics platforms, especially in hybrid multi-cloud scenarios.
Join us on April, 23rd, 2024 @ 10 AM EDT RegisterLearn from world-class practitioners
Learn from extraordinary speakers driving change and innovation.
Andrew Goade
HPE Ezmeral Solutions Engineering Leader – Americas
Vinoth Chandar
The creator and PMC chair of the Apache Hudi project
Anurag Kale
Cloud Architect and an AWS Data Hero
Meryem Arik
Co-Founder @TitanML
Roundtable Moderated by
Renato Losio
InfoQ Staff Editor | Cloud Expert | AWS Data Hero
*Net ticket revenue is defined as the collected ticket price minus applicable taxes, credit card fees and processing fees.
Ticket
InfoQ Live April 2024
Date: April, 23rd, 2024
What's Included
60 minute, InfoQ-moderated panel discussion
Chat forum for attendees to ask questions to the panelists
Access to on-demand recording
Ticket Price
19.95
All amounts are stated in United States Dollars.
Purchase may be subject to sales tax.
Charities we are supporting
100% of net ticket revenue* is being donated to organizations working towards diversity, equity, and inclusion in the technology industry.
*Net ticket revenue is defined as the collected ticket price minus applicable taxes, credit card fees, and processing fees.