How to Scale Insights With Your Modern Data Warehouse Architecture

Presented by

Nike Start, Sr. Sales Engineer, Asia Pacific & Japan, Alteryx

About this talk

The modern data architecture is all about scale, allowing organizations to store and utilize high volumes of data. There are 2 components to realizing this scale: (1) Building an architecture with the right tools; (2) Building a team that can take proper advantage of these tools. This session will explain how you can achieve both. We’ll cover the key components of successful modern data architectures, along with how successful organizations are utilizing these components to achieve democratization and scale insights within their organizations. • See examples of modern data architectures on the major cloud platforms, including AWS, GCP, Azure, Snowflake, and Databricks • Learn tips and tricks for using modern data platforms to their full potential by scaling people, processes, and processing Hear success stories from organizations that have successfully modernized their data warehouses Bio: Nike Start is a Sr Sales Engineer for Asia Pacific & Japan region focused on helping companies transition to the modern stack. He has 10 years of experience engineering, analyzing, visualizing data across multiple verticals. When he’s not working with data he enjoys traveling, surfing, and spending time with his wife and 2 dogs. LinkedIn Profile: Location: Los Angeles, California – USA
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Modern business is digital business, and digital business means analyzing a growing flood of data. Alteryx helps customers achieve outcomes from their data to create business-changing breakthroughs every day. From designing reliable forecasts in an unpredictable economy to developing fair and equitable compensation packages for employees, the daily business and societal challenges we face demand data-driven answers. Our human-centered, engaging analytics automation platform unifies analytics, data science, and process automation together in one solution to help you harness that flood of complex data to quickly solve real-world problems.​