Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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Intelligent design patterns for cloud-based analytics and BI (sponsored by Arcadia Data)

Shant Hovsepian (Arcadia Data)
14:0514:45 Wednesday, 1 May 2019
Location: Capital Suite 2/3
Average rating: ****.
(4.00, 4 ratings)

What you'll learn

  • Explore considerations for service-oriented cloud design
  • Understand why BI should be a native service in this environment


With data management increasingly moving to object storage and cloud data warehouses, organizations naturally expect their BI applications to also benefit from the scale of data and real-time analytics. However, traditional BI architecture in this cloud-native environment faces some not-so-obvious challenges: while object storage scales to store large amounts of data, analytics can only be done on subsets. And while data can be ingested in real time, you have to wait for data warehouse batch ETL cycles before doing analytics.

It’s time to invest in an agile cloud-native architecture for BI that doesn’t rely on outdated analytic patterns of traditional BI.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”—the exact issue that many users have tried to simplify in the first place by choosing cloud. Shant then offers an overview of considerations for service-oriented design of the clouds (storage, compute, catalog, security, SQL service, etc.) and discusses why BI should be a native service in this environment.

This session is sponsored by Arcadia Data.

Photo of Shant Hovsepian

Shant Hovsepian

Arcadia Data

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.