Centralize data for real-time analytics with a modern data stack

Presented by

Tamara Astakhova, Sr Partner Solutions Architect, AWS | Kelly Kohlleffel, Head of Partner Sales Engineering, Fivetran

About this talk

To extract new value from enterprise data, discover new revenue streams, and form business-altering insights, data architectures that support diverse data formats and break down siloes are more essential than ever. However, these modern data architectures aren’t completely immune to challenges associated with: • New data sources and quality checks • Data transformation and integration • And evolving security and compliance risks. So, where do you go from here? Experts from Fivetran and AWS explain how to navigate these data architecture and analytics challenges in the following webinar. Tune in for the key takeaways and a demonstration of how Fivetran and AWS data architecture effortlessly centralizes all the data you need so your team can deliver better insights.

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Extracting value from data is a challenge for many companies. Amazon Web Services (AWS) and AWS Partners have solutions to help. On this channel viewers will learn best practices and hear about customer journeys to prevent data silos, enhance data value, apply machine learning, improve security, and apply scalable data governance practices when handling customer data.