With over twenty-five years of experience delivering value through data warehousing and business intelligence programs, John O’Brien’s unique perspective comes from the combination of his roles as a practitioner, consultant, and vendor CTO in the BI industry. As a globally recognized business intelligence thought-leader, John has been publishing articles and presenting at conferences in North America and Europe for the past ten years. His knowledge in designing, building, and growing enterprise BI systems and teams brings real world insights to each role and phase within a BI program. Today, through Radiant Advisors, John provides research, strategic advisory services and mentoring that guide companies in meeting the demands of next generation information management, architecture, and emerging technologies.View the profile
Waqas is a Technical Product Manager for Machine Learning at Vertica. He drives the development of distributed in-database machine learning algorithms and the integrations with open source tools and platforms including Python and Tensorflow. He is passionate about the productization of machine learning models in enterprise environments. Previously, Waqas has worked with CPG and telecommunications companies in the use of big data analytics for consumer research and revenue growth.View the profile
About the talk
Delivering Cloud Data Architectures with Agile Processes
O'Brien provides guidance about the agile methodology and templates that project delivery teams can follow to build modern data infrastructures (on-prem, hybrid, and multi-cloud). With this approach, delivery teams can follow, initiate, and leverage data and integration design patterns while working to build an enterprise data and analytics platform. This approach also defines the teams and individual roles, along with expectations for working in a prioritized and governed manner to evolve the data platform in alignment with business priorities.
Speaker: John O'Brien, Principal Advisor and CEO, Radiant Advisors
Scaling Analytics Workloads Using Distributed Analytical Data Warehouse Vertica
Most companies face challenges in storing and managing their increasing volumes of data, let alone performing analytics to learn patterns and trends in that data. Vertica offers an advanced unified analytical warehouse that enables organizations to keep up with the size and complexity of enormous data volumes. Whether you are starting out on your journey of building an enterprise and analytics platform or you are looking to switch from a legacy system which has speed and scalability limitations, Vertica can offer many advantages like built-in analytics and machine learning functions, linear scaling, native high availability and hybrid deployment options.
Speaker: Waqas Dhillon, Product Manager - Machine Learning, Vertica
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