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.
Should Information Management systems apply the services architecture? Many data provisioning and BI systems are monolithic, tightly coupled, difficult to scale, and stumble when it comes to delivering MVP in a timely manner.
In this session we will look at the common obstacles such systems inherently bring with them, and how the Data as a Service architecture pattern addresses many of these issues.
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Business requirements are not the only influencers of our technical solutions. Laws and Regulations transform the technical landscape in ways that require us to redefine our architecture, as well as our skill-set. This is especially true with Data Privacy. Since GDPR and CCPA, our industry is witnessing a new career path emerge: the Privacy Engineer. Where security started 10 years ago, so does privacy engineering. Join us as we look at Privacy by Design (PbD) and introduce some architecture patterns that align with privacy strategies.
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Privacy by Design is rapidly becoming the new focus for go forward architecture and application design. However, few companies have the luxury of building out new solutions and are struggling with ways to adapt their current systems to meet Privacy by Design criteria. If you find yourself in such a situation, know that you're not alone.
In this session we'll review some common legacy designs and provided suggestions for them that you can implement to better align your systems toward privacy strategies.
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