When done right, a data lake can provide your users with easy access to comprehensive data, and support machine learning use cases that have a real impact on your top and bottom lines. In this webinar, we’ll go through an end-to-end data lake and machine learning use case for increasing customer engagement at a retail bank.
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We’ll provide an overview of the tools, platforms, processes and people necessary for ingesting data onto your lake for data exploration and reporting, as well as the critical next steps for building scalable, machine learning applications for deeper insight and prescriptive actions. Leveraging the AWS-Informatica Quickstart, coupled with NGDATA’s data ingestion accelerators, we’ll show you how to get your data lake up and running in hours instead of weeks.
Key takeaways will include:
- Learn how to quickly deploy a data lake with an enterprise catalog.
- Understand how to leverage your data lake for ML / AI insights using open-source algorithms in a CDP.
- Key best practices with Informatica's modern reference architecture.
Dan Rezac, Director, Big Data Solutions, Informatica:
Dan helps data-driven companies and their leaders unleash the power of data to drive intelligent disruption in their businesses and markets.
Gil Rosen, Head of Strategy at NGDATA:
Gil built a global data and analytics consultancy of 100 strong, advising and implementing data infrastructures and outcome focused data initiatives for enterprises.