Architecting an edge-to-cloud data pipeline to unify multiple data sources and processing engines (sponsored by NetApp)
Santosh Rao explores the architecture of a data pipeline from edge to core to cloud and across various data sources and processing engines 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.
| Talk Title | Architecting an edge-to-cloud data pipeline to unify multiple data sources and processing engines (sponsored by NetApp) |
| Speakers | Santosh Rao (NetApp) |
| Conference | Strata Data Conference |
| Conf Tag | Big Data Expo |
| Location | San Jose, California |
| Date | March 6-8, 2018 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
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.
