Leveraging the Cloud for Big Data Analytics

Cloudera

Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on AWS. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
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Spotlight

PwC’s Advanced Finance Analytics helps our clients discover, accelerate and deliver their core finance enterprise cloud capabilities.

OTHER ON-DEMAND WEBINARS

Data-Driven Product Development

DataCamp

In this webinar, Ramnath Vaidyanathan, VP Product Research at DataCamp, shares how DataCamp uses data in a big way to drive the development of products and content at scale. He gives some practical examples & insights of ways data has shaped DataCamp's products. Finally, Ramnath goes through the data-driven development process so you can apply the same principles to the products you are building.
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Modern Data Analytics in the Cloud: Achieving an End-to-End Strategy

TDWI

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.
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Data Privacy Using AI-Driven Data Catalogs

Do you have your Enterprise’s data privacy under control? Do you know what datasets are sensitive and who has access? Many companies are behind on privacy and regulatory compliance (GDPR, CCPA, etc.). Legacy tools and manual processes are inaccurate and error prone and can force you to choose between delaying data access by months, or increased compliance risk.
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Data Confidentiality & Utility: A Way Forward Together

Enterprises in data driven fields such as finance and healthcare must balance data utility with confidentiality. Often, enterprises and their partners want to analyze or monetize non-public or personally identifiable information, often at odds with growing privacy regulations and intellectual property concerns. Innovations in bu
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