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The Future of Data Warehousing and AI at Scale

The data universe is exploding. According to research from IDC, 2020 alone saw the creation or replication of a staggering 64.2ZB of data. Over the next five years, customers and businesses will generate more than twice the amount of data created since the advent of digital storage.

IT and technical leaders have long favored data warehousing for structuring and storing business data. But how will enterprises need to adapt their data capture, management, and analytics strategies in response to a rapidly changing data landscape?

In this webinar, renowned big data thought leader James Serra will provide a roadmap for data architecture innovation – tackling key questions like:

  • What are the shortcomings of traditional data warehousing at massive scale?
  • What is a data mesh or data fabric, and how does it differ in design and purpose from traditional approaches?
  • What is the role of technology like customer data platform in supporting a data mesh strategy – and unlocking advanced analytics and artificial intelligence (AI)?

James Serra is a Data Platform Architecture Lead at EY, and previously was a big data and data warehousing solution architect at Microsoft for seven years. Prior to that he was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is also a prior SQL Server MVP with over 35 years of IT experience and a prolific blog on all things data warehousing: James Serra’s Blog.

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