Stephen Brobst

AlphaZetta Academy Course Author & Trainer

Stephen Brobst

Stephen Brobst offers a range of workshops and seminars on analytics topics for AlphaZetta Academy. Stephen is a thoroughly engaging speaker and trainer and his expertise is a fascinating to witness. Contact us today to arrange a workshop or seminar at your organisation.

Stephen is the Chief Technology Officer for Teradata Corporation. He performed his graduate work in Computer Science at the Massachusetts Institute of Technology where his Masters and PhD research focused on high-performance parallel processing. Stephen also completed an MBA with joint course and thesis work at the Harvard Business School and the MIT Sloan School of Management. He is a TDWI Fellow and has been on the faculty of The Data Warehousing Institute since 1996. During Barack Obama’s first term he was also appointed to the Presidential Council of Advisors on Science and Technology (PCAST) in the working group on Networking and Information Technology Research and Development (NITRD). In 2014 he was ranked by ExecRank as the #4 CTO in the United States (behind the CTOs from Amazon.com, Tesla Motors, and Intel) out of a pool of 10,000+ CTOs.

Agile Data Management Architecture

2021-07-23T00:57:04+00:00May 18th, 2019|Tags: , , , |

This full-day workshop examines the trends in analytic technologies, methodologies, and use cases. The implications of these developments for deployment of analytic capabilities will be discussed with examples in future architecture and implementation. This workshop also presents best practices for deployment of next generation analytics.

Social Network Analysis: Practical Use Cases and Implementation

2021-07-23T01:03:21+00:00May 13th, 2019|Tags: , , , |

Social networking via Web 2.0 applications such as LinkedIn and Facebook has created huge interest in understanding the connections between individuals to predict patterns of churn, influencers related to early adoption of new products and services, successful pricing strategies for certain kinds of services, and customer segmentation. We will explain how to use these advanced analytic techniques with mini case studies across a wide range of industries including telecommunications, financial services, health care, retailing, and government agencies. 

Capacity Planning for Enterprise Data Deployment

2021-07-23T00:59:25+00:00December 6th, 2018|Tags: , , , |

This workshop describes a framework for capacity planning in an enterprise data environment. We will propose a model for defining service level agreements (SLAs) and then using these SLAs to drive the capacity planning and configuration for enterprise data solutions. Guidelines will be provided for capacity planning in a mixed workload environment involving both strategic and tactical decision support. Performance implications related to technology trends in multi-core CPU deployment, large memory deployment, and high density disk drives will be described. In addition, the capacity planning implications for different approaches for data acquisition will be considered.

Real-Time Analytics Development and Deployment

2021-07-23T01:02:51+00:00May 31st, 2019|Tags: , , , , , |

Real-time analytics is rapidly changing the landscape for deployment of decision support capability. The challenges of supporting extreme service levels in the areas of performance, availability, and data freshness demand new methods for data warehouse construction. Particular attention is paid to architectural topologies for successful implementation and the role of frameworks for Microservices deployment. In this workshop we will discuss evolution of data warehousing technology and new methods for meeting the associated service levels with each stage of evolution.

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