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Building a Data Lake for Maximum
Flexibility in Complex Environments

Building a Data Lake For Maximum Flexibility in Complex Environments

Recorded on: September 27, 2018

This joint webinar is brought to you by:


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In this webinar, learn how even the most complex environments can be addressed when it comes to building a data lake—successfully.

Data lakes are created across industries and to support many use cases and often combine data from multiple sources. Sensor-generated data, logs, and social media sources may plan an important role in many data lakes, but also ERP, SCM, CRM and other (packaged and home-grown) applications are important sources. With many different sources and data types, and a sheer infinite number of use cases to use the data in the data lake, how do you make sure your data lake can service the business needs? How would you build a data lake for maximum flexibility?

In this webinar, Mark Van de Wiel, CTO HVR, will talk about strategies customers adopt to continuously feed data lakes. He also will discuss security and the ability to easily leverage multiple analytics services. Sam Khidhir, AWS Solutions Architect, will discuss why S3 is a common Data Lake destination for complex scenarios such as this and why it allows for maximum flexibility.

What you will learn:

• How to enable continuous data feeds from operational systems for business agility

• The importance of data quality — what is required so that you and your teams can trust the data and why this is imperative?

• How to leverage several AWS technologies to support multiple use cases with continuous, high volume real-time data