MODERN DATA ANALYTICS IN THE CLOUD: ACHIEVING AN END-TO-END STRATEGY
March 21, 2019 | (1:00 p.m.)
USA (United States of America)
Businesses today need fast, scalable, and agile data and analytics, and cloud-based solutions are proving critical to satisfying these requirements. They enable organizations to rapidly and easily spin up systems and services for collecting, managing, and analyzing data. More important, cloud-based solutions deliver value from “data gravity”—the surging volumes of new data created in the cloud by social media, the IoT, multichannel customer behavior, and other activity. However, executing a strategy for modern data analytics in the cloud isn’t easy. How do you integrate data collection, transformation, and management in the cloud for interactive data analytics and visualization? Will cloud-based data systems provide the levels of performance, concurrency, and availability you’ll need to satisfy all your users, from data scientists to line-of-business managers? How do they address data governance, security, and data privacy regulations? In this webinar, we will discuss putting together a comprehensive strategy for modern data analytics in the cloud. We will discuss key issues in supporting today’s analytics workloads, including cloud data warehousing, data preparation and transformation, and visual data interactivity.