Intelligent design patterns for cloud-based analytics and BI
Who is this presentation for?
- Enterprise architects, CIOs, CTOs, data engineers, and analytics experts
With data management increasingly moving to object storage and cloud data warehouses, organizations naturally expect BI applications to also benefit from the scale of data and real-time analytics. The traditional BI architecture in this cloud native environment surfaces not-so-obvious challenges: while object storage scales for you to store large amounts of data, the analytics can only be done on subsets; while the data can be ingested in real time, the analytics have to wait for the data warehouse batch ETL cycles before it can be used; and it’s time to invest in an agile and cloud native architecture for BI, which doesn’t rely on outdated analytic patterns of traditional BI.
Shant Hovsepian explains how the application of traditional BI to cloud native data management and warehousing can result in a “frankenstack” that many users have tried to simplify in the first place by choosing cloud. You’ll review service-oriented design of the clouds (storage, compute, catalog, security, and SQL service) and describe how BI should be a native service in this environment.
What you'll learn
- Learn how to get the most value out of cloud BI initiatives
Shant Hovsepian is a cofounder and CTO of Arcadia Data, where he’s responsible for the company’s long-term innovation and technical direction. Previously, Shant was an early member of the engineering team at Teradata, which he joined through the acquisition of Aster Data, and he interned at Google, where he worked on optimizing the AdWords database. His experience includes everything from Linux kernel programming and database optimization to visualization. He started his first lemonade stand at the age of four and ran a small IT consulting business in high school. Shant studied computer science at UCLA, where he had publications in top-tier computer systems conferences.
For conference registration information and customer service
For more information on community discounts and trade opportunities with O’Reilly conferences
For information on exhibiting or sponsoring a conference
For media/analyst press inquires