Jan 11 ADV Webinar: 2024 Trends in Enterprise Analytics

DATE: January 11, 2024 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Recent pullbacks appear to be driven primarily by macro factors. We have a positive outlook on IT budgets in 2024 because we anticipate a loosening of IT expenditures, which have been limited by fears of…

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Feb 8 ADV Webinar: Data Integration – Newsflash: We Still Just Move Data!

DATE: February 8, 2024 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Data integration is a broad term for data movement. While moving streaming data is increasingly important, and data virtualization and data mesh architectures somewhat lessens the need, straight data movement…

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Mar 14 ADV Webinar: Choosing Your Provider for Implementing a Data Fabric

DATE: March 14, 2024 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar The principle underlying data fabric designs is the loose connection of data in platforms with the applications that require it. When one platform, like AWS, supervises data ingestion while another, like Azure, is in charge…

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Apr 11 ADV Webinar: Architecting a Modern Data Platform

DATE: April 11, 2024 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Organizations require a comprehensive enterprise data cloud platform to modernize applications and utilize machine learning. This research-based session will discuss the components of modern enterprise data stacks, such as dedicated compute, storage, data integration, and…

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May 9 ADV Webinar: 2024 What The? Another Database Model – Vector Databases Explained

DATE: May 9, 2024 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Vector databases are a type of database that use graph embeddings to represent and compare data, making them ideal for fuzzy match problems. Graph embeddings are created using machine learning algorithms and compress the attributes…

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