Data as a Service delivers MVP of real-time data management, while avoiding many of the anit-patterns that traditional data provisioning and BI systems portray. However, building out a Data as a Service system doesn't require high up-front costs and the welding of multiple products. Learn how the open source product Talend Open Studio can be used to build out a DaaS system that delivers faster and more scalable solutions to your customer.
In this session we will look a close look at the key components of the Data as a Service architecture pattern by walking through an example implemented using Talend.
Agenda
David Sietz is a solutions architect at International Association of Privacy Professionals with more than 25 years of hands-on experience. Starting his IT career in Munich Germany, his professional history as a data architect, system designer, and adult educator, instilled in him a sense of IT with the business customer in mind.
David's specialty is architecting, designing, and constructing of viable solutions that are properly engineered for their purpose and longevity. His breadth of knowledge of data management, microservice architecture, and building cloud platforms allows him to bridge disciplines and provide MVP solutions.
More About David »