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.
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.
Mark Rittman is joined by Maxime Beauchemin to talk about analytics and data integration at Airbnb, the Apache Airflow and Superset open-source projects he helped launch and now works with day-to-day at Airbnb , and his recent Medium article on "The Rise of the Data Engineer".
Mark Rittman is joined by Craig Stewart to talk about application and data integration, ODI and Sunopsis, SnapLogic's approach to hybrid on-premise/cloud integration and the rise of data preparation and dataflow-based cloud integration tools.
Mark Rittman is joined by Alex Olivier from Qubit to talk about their platform journey from on-premise Hadoop to petabytes of data running in Google Cloud Platform, using Google Cloud Dataflow (aka Apache Beam), Google PubSub and Google BigQuery along with machine learning and analytics to deliver personalisation at-scale for digital retailers around the world.
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.
A blog and podcast on the business and strategy of analytics, big data and distributed processing in the cloud, written and hosted by Mark Rittman.
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