Blogs

Pat O'Sullivan
Senior Technical Staff Member, IBM Analytics

Pat O'Sullivan is the Senior Technical Staff Member (STSM) responsible for the evolution of the IBM Industry Models leading the various aspects of Models integration with IBM technology such as Data Lakes and Data Warehousing, Hadoop/HDFS, Cloud, Information Integration and MDM Server.  Previously Pat was involved for many years in the Banking Models development and was one of the original team that created the Banking Data Warehouse.  Pat has 20+ years DW/Industry Models experience.

 

Charting the data lake: Using the data models with schema-on-read and schema-on-write

Charting the data lake: Using the data models with schema-on-read and schema-on-write

March 14, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
In many cases the data lake can be defined as a super set of repositories of data that includes the traditional data warehouse, complete with traditional relational technology. One significant example of the different components in this broader data lake, is in terms of different approaches to the...
Charting the data lake: Building a business language for data lake

Charting the data lake: Building a business language for data lake

February 13, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
When the data lake is deployed as an infrastructure to be exploited by different users in various departments with their own needs, their own different requirements and often their own dialects in terms of a business language, then a universal translator can become very useful. Especially with the...
Charting the data lake: Rethinking data models for data lakes

Charting the data lake: Rethinking data models for data lakes

January 16, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
Data models for developing data warehouses need to evolve for managing and defining data lakes. This first installment of a blog series on charting the data lake introduces the potential role of data models in data lake environments and how they need to take an active role in defining and managing...
Data scientists and sustainable governance

Data scientists and sustainable governance

October 6, 2015 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
As organizations incorporate data scientists’ insights into their corporate strategies, they must harness these findings within a sustainable and practical approach to governance—and make sure data scientists are working within this system of governance.