Next Generation Big Data and Data Warehouse Architecture

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Helen Sun, Director of Global Enterprise Architecture, Salesforce; and Patrick Fischer, Lead Enterprise Architect, Salesforce

Next Generation Big Data and Data Warehouse Architecture

Helen Sun, Director of Global Enterprise Architecture, Salesforce; and Patrick Fischer, Lead Enterprise Architect, Salesforce

Few technologies have captured more attention than Big Data, and there is tremendous interest in business use cases featuring Big Data and Analytics. While business is pushing for big data solutions and more analytical capabilities, most CIOs face the challenges of existing information silos within their organization.

Barrier to data sharing is a result of many different factors. Some are cultural. Some are related to existing processes and organization boundaries. Others reasons include siloed applications and inconsistent data definitions.

This is what a logical data warehouse can bring to the table. While there’s clear benefit to a centralized physical data warehousing strategy, more and more organizations are looking to establish a logical data warehouse, which is composed of a data hub or reservoir that combines different databases, relational or NoSQL, and HDFS. Capabilities in data federations include canonical data model, schema mapping, conflict resolution, as well as autonomy policy enforcement.

This presentation will uncover the key features of a logical data warehouse, business and technology requirements, guiding principles, and key capabilities.

The audience will learn the following:
-- Drivers for the logical data warehouse architecture
-- Main components of the capabilities
-- How to evaluate products and solutions to enable this architecture
-- What impact it has on the IT organization and operations
-- What new skill sets are required
-- How to establish a roadmap to incrementally build out these capabilities

Serving in the capacity of CTO/Chief Architect, Helen Sun has over 16 years of business and technology leadership experience in various industries including financial services, retail, CPG, logistics, healthcare, telecommunications, and utilities. She has deep experience and proven expertise in analytics solutions and enterprise architecture. She also has extensive experience in building architecture teams and EA program management. In addition, she has been assisting customers with strategic architecture initiatives including big data, advanced analytics, data warehouse/platform re-implementation/consolidation, data discovery, data integration, operational BI, application rationalization, mobile and digital initiatives, financial transformation, IT consolidation and standardization, and cloud strategies. She served as a trusted advisor to many C-level executives including CIOs and CTOs to advance their enterprise architecture and analytics capabilities. Helen is a thought leader in Information Architecture and has published various white papers and reference architecture on Information Management, Data Governance, Analytics, and Big Data. She has also hosted a number of webinars on the same topics and has spoken at various industry conferences including Innovation Summit, Analytics Forum, and Oracle Open World. She was also a keynote speaker at The Open Group World Conference on Big Data. In 2013, she co-authored the “Oracle Big Data Handbook”. Her second book called “Master Competitive Analytics with Oracle Endeca Information Discovery” was published in September 2014 by McGraw-Hill.

Pat Fischer ( is a lead Enterprise Architect for Salesforce based out of New York. During his nine years at Salesforce, he has partnered with the largest Financial Services firms in the world to innovate and transform their business and IT. Prior to Salesforce, Pat spent time at Siebel, KANA, and Brightware working on large technology implementations for multinational Financial Services firms, often concentrating on Data Migration and Integration Strategies. Pat is regarded as the thought leader and go-to architect at Salesforce in Financial Services sector. He has spoken many times at Dreamforce and lead customer roundtables on emerging topics around Cloud Computing, Information Architecture, and Integration. He is highly respected inside and outside of Salesforce in the IT community. Pat Fischer holds a BS in Chemical Engineering and an MS in Economics. He is a former Trustee of Lehigh University.



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