Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Using a Global Data Fabric to Run a Mixed Cloud Deployment

Jim Scott (MapR Technologies)
12:0512:45 Wednesday, 23 May 2018

Who is this presentation for?

Software Engineers, IT Administrators, Line of business

Prerequisite knowledge

General understanding of cloud and data center existence.

What you'll learn

A solid understanding of the components available, how they interact, trade-offs and when to consider the cloud.

Description

This presentation will cover the technology choices for implementing a business solution, starting with the microservices, workflows for data management, and even enhancing an end customer experience.

We will discuss how to leverage the data being collected in a multi-cloud approach to ensure redundancy and high availability. We will cover enhancing the customer experience through machine learning and search engines.

While collecting all of this data we must ensure that the data is created and managed properly. This includes moving the data to enabling different teams for different use cases including security, protecting customer privacy and ensuring full compliance with GDPR.

I will share my personal experiences for tools I have chosen to build business solutions, including a mix of open source, commercial off the shelf software, and some software-as-a-service offerings.

Photo of Jim Scott

Jim Scott

MapR Technologies

Jim Scott is the director of enterprise strategy and architecture at MapR Technologies. Across his career, Jim has held positions running operations, engineering, architecture, and QA teams in the consumer packaged goods, digital advertising, digital mapping, chemical, and pharmaceutical industries. Jim has built systems that handle more than 50 billion transactions per day, and his work with high-throughput computing at Dow Chemical was a precursor to more standardized big data concepts like Hadoop. Jim is also the cofounder of the Chicago Hadoop Users Group (CHUG).

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