INSIGHTS

DRILL TO DETAIL PODCAST

Mark Rittman is joined each episode by a special guest from the world of business intelligence, analytics and big data.

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Big Data Analytics, Vendor Strategy Mark Rittman Big Data Analytics, Vendor Strategy Mark Rittman

Drill to Detail Ep.31 'Dremel, Druid and Data Modeling on Google BigQuery' With Special Guest Dan McClary

Mark is joined by returning special guest Dan McClary to talk about data modeling and database design on distributed query engines such as Google BigQuery, the underlying Dremel technology and columnar storage format that enables this cloud distributed data warehouse-as-a-service platform to scale to petabyte-size tables spanning tens of thousands of servers, and techniques to optimize BigQuery table joins using nested fields, table partitioning and denormalization.

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Big Data Analytics, Vendor Strategy Mark Rittman Big Data Analytics, Vendor Strategy Mark Rittman

Drill to Detail Ep.30 "AI, ML & Oracle's Adaptive Intelligence Applications" with Special Guest Jack Berkowitz

Oracle's Jack Berkowitz joins Mark Rittman to talk about a new category of continuously adapting, self-learning applications being built-out by Oracle that use machine learning together with enterprise and third-party data to create a new generation of intelligent HR, CX, SCM and ERP SaaS apps.

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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.

 

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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.

 

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