In today’s enterprise environments, data architects are required to incorporate and integrate data from a variety of sources, such as multiple relational and unstructured databases, public-use data, information managed in cloud/hosted SaaS systems, and data absorbed from a wide variety of “open” sources. Without a process for synthesizing the format, structure and semantics of the data sources and verifying conformance among them, you run the risk of blending data in an incompatible way leading to misunderstandings in the best case and poor business decisions in the worst case.
To help you address the blossoming challenges of working with different kinds of data, David Loshin shares his thoughts and experiences and discusses how business process-oriented data and metadata modeling can help:
Establish control over the interpretation of multiple data sources
Harmonize information concepts
Facilitate semantic consistency and information conformance
About the presenter:
David Loshin, president of Knowledge Integrity, Inc, (www.knowledge-integrity.com), is a recognized thought leader and expert consultant in the areas of analytics, big data, data governance, data quality, master data management, and business intelligence. Along with consulting on numerous data management projects over the past 15 years, David is also a prolific author regarding business intelligence best practices with numerous books and papers on data management, including the second edition of “Business Intelligence – The Savvy Manager’s Guide.”