Next-generation serverless data architecture for insights at the speed of thought (sponsored by Actian)
Modern use cases such as customer journeys and hyperpersonalization have blurred the boundaries between operational and analytics systems. Legacy operational databases and enterprise data warehouses find it challenging to keep up with the demands in terms of agility, variety, and playing in an ecosystem of open source, machine learning, and cloud serverless data platforms, where everything is consumed as a service.
Paul Wolmering explores the key characteristics for building a data warehouse that is agile enough to address changing needs and flexible to give you the best cost for performance and help you leverage with existing IT investments. He then defines a reference architecture for hybrid data with a cloud data warehouse as its foundation, which unifies the operational and analytics capabilities to help deliver on modern use cases. Along the way, you’ll gain insight into how to successfully migrate from legacy data warehouses from Netezza, Teradata, and Oracle Exadata. In addition, you’ll explore the needs and demands of personas such as data scientists, business analysts, IT and business users, who each bring unique hyperpersonalization requirements to tomorrow’s data architecture.
This session is sponsored by Actian.
What you'll learn
- Explore the key characteristics for building an Agile data warehouse and a reference architecture for hybrid data
Paul Wolmering is the vice president of worldwide sales engineering for Actian’s hybrid data solution. Paul has over 30 years of experience in the enterprise data ecosystem, including parallel databases, distributed computing, big data, cloud computing, and supporting production systems. Previously, he led field engineering teams for Informix, Netezza, ParAccel, Pivotal, Cazena, and others.
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