Drill to Detail Ep.79 'Scaling the Modern Data Analytics Stack' with Special Guests Drew Banin and Stewart Bryson

Mark Rittman is joined by special guests Drew Banin, co-founder of Fishtown Analytics and maintainer of dbt (data build tool) and Stewart Bryson, long-time friend of the show and CEO/Co-founder of Red Pill Analytics to talk about scaling modern data stack projects from startups to the enterprise; how do you deal with data quality issues when there’s no central record of customers, how do we introduce data governance, enterprise requirements and meet the needs of enterprise architects and how do we scale concepts such as agile and analytics as engineering beyond our initial champion and data team?

Drill to Detail Ep.62 'Enterprise analytics, DW Modernization and the rediscovery of Data Governance' With Special Guest Mike Ferguson

Mark Rittman is joined in this episode by Mike Ferguson, long-term analyst, consultant and Managing Director of Intelligent Business Strategies to talk about data warehouse modernization, analytics and big data project success within enterprise customers and the re-emergence of interest in data governance and master data management within the industry.

Drill to Detail Ep.46 'Market Trends and Findings from the BI Survey 17' With Special Guest Dr. Carsten Bange

Mark Rittman is joined in this episode of Drill to Detail by Dr. Carsten Bange from BARC to talk about findings from the recently completed BI Survey 17 including the continuing move to modern BI platforms and self-service desktop tools, analytics adoption trends and the increasing incorporation of BI functionality within business applications, the surprising topicality of master data management and data governance ... and whatever happened to Nigel Pendse and his legendary OLAP Report?

Drill to Detail Ep.9 'Streamsets, Data-in-Motion and Data Drift' with Special Guest Pat Patterson

Mark Rittman is joined by StreamSets' Pat Patterson, talking about data in motion and doing it at scale, the story behind StreamSets and the problem of data drift, and the challenges involved in managing dataflows at scale as a continuous operation.