Thursday, April 6, 2017
01:15 PM - 04:30 PM
|Level: ||Technical (may include code)|
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 helps businesses use data to get better at what they do best. He is the Chief Data Officer at Uturn Data Solutions (uturndata.com), a Chicago-based consulting firm at the nexus of data and cloud technologies. Anthony leads development of the Uturn Data Engine, a data processing accelerator combining cloud technology and data management expertise within a highly-adaptable, modular design. The Uturn Data Engine helps businesses of all sizes unlock the value contained in data, from the most simple to highly advanced scenarios.
With many years of experience as a data strategy and management consultant, Anthony leads data-driven transformations of organizations in both public and private sectors. He also served as the first Chief Data Officer at the Chicago Transit Authority. Anthony speaks internationally on data and leadership topics, and writes a regular column in the Data Administration Newsletter (TDAN.com). He earned a BA from Illinois Wesleyan University and an MBA from Northwestern University.