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Extending Traditional Data Warehouse Architectures using Data Lakes and the Lambda Architecture

Friday, September 22, 2017, 1:00 AM

Extending Traditional Data Warehouse Architectures using Data Lakes and the Lambda Architecture SPEAKER: Mike Hermida  ABSTRACT: Although many companies and organizations have developed traditional data warehouses following the Inmon and Kimball models, there are many more in newer industries like social media, e-commerce, and online advertising, that are building data warehouses for the first time using non-traditional approaches. Big data and near real-time (NRT) analytics are driving these approaches. Of course, those organizations with traditional data warehouses are extending them to support BIG data and NRT. The Data Lake is being employed to house Big data, but there is much confusion about what a Data Lake is and how it fits into a data warehouse architecture. The Lambda (and post-Lambda) architectures are being used to address the NRT requirements. This presentation discusses these technologies and their positioning within a data warehouse architecture. It cautions against their implementation in an environment that pays lip-service to the fundamental data management principles underlying well constructed, traditional data warehouses. Schedule: 6:00PM - 6:30PM: Networking/Food 6:30PM - 7:30PM: Talk Pizza & drinks included Speaker Bio: Mike Hermida held various technical and management positions during a sixteen-year career with IBM. He designed and developed operating systems and access methods for the nation’s en-route Air Traffic Control System and ground-based Space Shuttle Programs, and was a lead architect for the Spacelab’s Command and Control System. He was also a technical member of the field test team for the rollout of IBM’s DB2 database management system. Within IBM he managed a staff responsible for the development of tools and utilities to enhance the DB2 development environment, and also managed a Data Resource Management (DRM) department of data modelers, DBAs, and performance analysts supporting relational and other database systems.  On leaving IBM, Mike, with a partner, built a successful consulting and education firm specializing in relational database and applications design and development. Aside from being the firm’s Chief Technology Officer, he was personally responsible for providing technical and management consulting services to key corporate clients. He started the Knauer DB2 User Group in New York City that grew to over a thousand members, and developed and implemented a set of DB2 value added services to support a national DB2 practice.  Over the years his consulting focus changed to information architecture, data warehousing, and business intelligence. He has worked on architectures, designs, and assessments for both large and small companies in many industries including financial services, health care, insurance, consumer products and e-marketing, as well as government agencies. Mike has developed and taught numerous seminars and classes and lectured extensively to professional groups both nationally and internationally on data and database management topics, data warehousing, and business intelligence. He is an internationally acclaimed lecturer and instructor.

Tickets: https://www.eventbrite.com/e/extending-traditional-data-warehouse-architectures-using-data-lakes-and-the-lambda-architecture-tickets-33867104421?aff=aff0eventful

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