Big Data Architecture Made Easy

The presenter will describe a methodology with which one can incorporate enterprise architecture, legacy inputs, transactional data stores, data warehouses, hadoop, nosql databases and other components into a comprehensive, custom solution architecture. A process for collecting, prioritizing and implementing use cases will be detailed. The notion of fixtures that will exist in the future state will be addressed. Also the general steps of a blueprint to handle Big Data phases that include ingest, integrate, aggregate, enhance, analyze and act will be included. There will also be attention paid to data quality, data profiling and data governance as they apply to Big Data.

Takeaways:

Enterprise architecture as it relates to Big Data needs
Use case cultivation
Custom solution architecture creation for Big Data Analytics
Data profiling and data quality in a Big Data world
Cloud & data considerations

Mike has 32+ years of core IT experience including stints at FedEx, Xerox, Autozone, IBM and some boutique consulting firms. Roles have included solution architecture, enterprise architecture, data architecture, technology management, data management, DBA, analytics, data warehousing, data governance, performance & tuning, system administration & programming. Mike has been a presenter at Oracle Open World, the International Sybase User Group & MidSouth DAMA. While at FedEx he has led POCs for Big Data, EA tools, databases. archiving & database tools. Mike delivering FedEx's initial DBaaS offering for Oracle on Linux. He also architected the 2nd generation solution that is still in use today. Mike served as a domain architect in the customer service space for an application rationalization effort. He chaired the Data Architecture Council & led a variety of data architecture efforts.