Designing a Data Architecture for Modern Business Intelligence and Analytics
  Richard Sherman   Richard Sherman
Managing Partner
Athena IT Solutions
http://athena-solutions.com/datadoghouse/
 


 

Thursday, November 16, 2017
08:30 AM - 04:00 PM

Level:  Technical - Intermediate


This workshop examines designing Data Architecture for Modern Business Intelligence and Analytics supporting structured, unstructured, and semi-structured sources; hybrid integration and data engineering; and analytical uses by casual info. consumers, power users, and data scientists. Technologies include databases (relational, columnar, in-memory, and NoSQL); hybrid data, application and cloud integration; data preparation; data virtualization; descriptive, diagnostic, predictive, and prescriptive analytics; and on-premise and on-cloud deployments.

This modern architecture has evolved beyond traditional DW with a logical data warehouse, data lakes, distribution hub, data catalog, analytical sandbox, and data science hub, along with both self-service data preparation and BI.

Architecture includes:

  • Data structures and workflow
  • Data engineering, data integration, data preparation, and data virtualization
  • Business intelligence and advanced analytics
  • Enabling technologies
  • Enterprise information management and governance

Attendees will learn:

  • Underlying foundational concepts
  • High-level architectural design
  • Best and pragmatic practices
  • Avoiding data and integration silos
  • Preventing data swamps, data shadow systems, spreadmarts


Rick Sherman is the founder of Athena IT Solutions. Rick has 30 years of business intelligence (BI), data integration and data warehousing (DW) experience. He has worked on 100+ BI /DW projects and has also provided guidance through assessments and as an advisor. His work has spanned industries, source systems and technologies. Rick is an expert instructor and speaker at conferences, webinars and seminars. He teaches business and IT people BI/ DW concepts, design, architectures and project management through onsite and online courses. He has taught BI courses for 10+ years at Northeastern University's Graduate School of Engineering. His book "Business Intelligence Guidebook - From Data Integration to Analytics" (Morgan Kaufmann 2014) is used by practitioners and as a graduate textbook. Rick has had 200+ articles published in industry publications. Rick also performs marketing and industry analysis for firms that create software for the BI industry.


 
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