S5: Advanced Data Architectures for Big Data, IoT and the Cloud

Data technologies are rapidly evolving. We hear about the latest trends without necessarily understanding all of the context within which they fit. The fact is that many of us are too busy working with what we have to understand all of the ins-and-outs of the cutting edge.

This seminar will provide the knowledge and context to help you create the data architecture you'll need to deal with new requirements such as Big Data, IoT, APIs and the Cloud. If you want to know more about columnar storage and massively parallel processing for relational SQL databases, JSON documents for NoSQL and APIs, or microservices and other cloud-based data technologies, this session is for you!

This session will be most useful for those that are technically-inclined, though there are no specific prerequisites. Highlights include:

Overview on data topics that you might need to "catch-up" your understanding
How lessons learned from the application side of the house are informing the data side
The benefits of highly-aligned, loosely-coupled data processing mechanisms
How JSON is the one information sharing mechanism EVERYONE needs to understand
Which technologies are most applicable to common use cases, and where the crossovers are between them

Anthony J. Algmin teaches organizations how to turn data into value. As Chief Data Officer for Uturn Data Solutions, Anthony coaches executive teams on data leadership in one-on-one and workshop settings. He is an accomplished public speaker, delivering talks at conferences and corporate events for US and international audiences. As the head of client delivery for Uturn, Anthony has led data-driven transformations for many clients, including private enterprises and public-sector organizations. He also created Uturn’s data processing automation tool, the Uturn Data Engine, as well as the Data Value Methodology (DVM) and Smart Data Lake frameworks for data management. Anthony built his career in several management consulting and industry positions, including serving as the Chicago Transit Authority’s first Chief Data Officer. He has a BA from Illinois Wesleyan University and an MBA from the Kellogg School of Management at Northwestern University.