Drill to Detail Ep.63 'Stitch, Talend and the Evolution of Data Pipelines' with Special Guest Jake Stein

Mark Rittman is joined by returning Special Guest Jake Stein, former co-founder and CEO of Stitch and now SVP of Stitch at Talend to talk about the evolution of the data pipeline-as-a-service, data catalogs and data governance and the vision behind Talend’s acquisition of Stitch. 

Drill to Detail Ep.52 'Lyft, Ride-Share Analytics and ETL Developer Productivity ' With Special Guest Mark Grover

Mark Rittman is joined by returning Special Guest Mark Grover to talk about his move from Cloudera and product engineering to a product manager role at Lyft; analytics use-cases in the ride-sharing industry; and the move from conversations about ETL tools, technology and engines to templates, paradigms and developer productivity.

Drill to Detail Ep.40 'Fivetran's Middleware for SaaS Data' With Special Guest Taylor Brown

Mark Rittman is joined in this episode by Taylor Brown from Fivetran to talk about middleware for SaaS data, their focus on integrations with SaaS vendors and how this differentiates their offering, his thoughts on packaged analytic applications announced at the recent Looker Join conference ... and where the name "Fivetran" came from.

Drill to Detail Ep.29 'New-World BI Development using BigQuery, Looker, Kakfa and Streamsets' With Special Guest Stewart Bryson

Stewart Bryson returns to the show to join Mark Rittman to discuss new-world BI and data warehousing development using Google BigQuery and Amazon Athena, Apache Kafka and StreamSets, and talks about his experiences with Looker, the cloud-native BI tool that brings semantic modeling and modern development practices to the world of business intelligence.

 

Drill to Detail Ep.27 'Apache Kafka, Streaming Data Integration and Schema Registry' with Special Guest Gwen Shapira

Mark Rittman is joined by Gwen Shapira from Confluent to talk about Apache Kafka, streaming data integration and how it differs from batch-based, GUI-developed ETL development, the problem with architects, exactly-once processing and how data governance is coming to Kafka development with Confluent's new schema registry server.