How to Feed a Data Lake for

Real-Time Analytics

TUESDAY   |   September  21   |   12:00 pm GMT   |   1:00 pm CEST

Demo: Oracle to Amazon S3 Data Lake​

Are you ready to integrate high volumes of data from disparate sources into a cloud-based data lake? Or are you looking to leverage your current data lake for real-time business insights and advanced analytics?

Although data lakes are an efficient solution for complex data challenges, many technical challenges arise when feeding a data lake.

Also, knowing how to leverage the data for real-time analytics and decision-making is critical to remaining competitive, improving operational efficiencies, and enhancing the customer service experience.

During this demo, HVR’s Solutions Architect will:

- Explain the general considerations for feeding a data lake
- Explore real-world examples of data lake architectures
- Discuss common problems and solutions with the initial onboarding process
- Show you how HVR accelerates high volume data movement into a data lake with little to no impact on systems

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