Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

Architecting an edge-to-cloud data pipeline to unify multiple data sources and processing engines (sponsored by NetApp)

Santosh Rao (NetApp)
11:00am–11:40am Wednesday, March 7, 2018
Sponsored
 Location: LL21 A
Average rating: *****
(5.00, 1 rating)
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What you'll learn

  • Learn how to build an edge-to-cloud data pipeline that enables businesses to maximize the competitive differentiation

Description

As companies evolve from silos of big data analytics to using data analytics as the core of their business differentiation, it becomes necessary to shift the focus from point projects and infrastructure architecture to a centralized data architecture. This involves thinking holistically about the data pipeline from edge to core to cloud, considering the variety of available processing engines and their future extensibility and variability as the data pipeline evolves over time.

Santosh Rao explores the architecture of a data pipeline from edge to core to cloud and explains how to build a solution architecture that enables businesses to maximize the competitive differentiation with the ability to unify data insights in compelling yet efficient ways.

This session is sponsored by NetApp.

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Santosh Rao

NetApp

Santosh Rao is a senior technical director in ONTAP engineering at NetApp, where he is responsible for NetApp’s vision and technology direction for data engineering. He works across a variety of data ecosystem partners and a broad range of customers to bring NetApp’s products to market in the data workload areas. Santosh has held a variety of roles at NetApp, including founding architect of clustered ONTAP for block enterprise apps, and has delivered a variety of virtualization, mobility, and protection products for enterprise app workloads. Previously, he was a master technologist at HP and delivered a number of first-generation products to market in the enterprise storage and systems space.