Drill to Detail Ep.65 'Bootstrapping, Growth Hacking and Supermetrics Data Pipelines for Digital Marketers' with Special Guest Mikael Thuneberg

Mark Rittman is joined by CEO and Founder of Supermetrics, Mikael Thuneberg, to tell the story of how a  mention in the official Google Analytics Blog and a prize of a t-shirt led to him founding and bootstrapping what is now a €10M ARR marketing analytics business that’s probably the most important software vendor the Drill to Detail audience has never heard of, and who recently moved into the data pipelines-as-a-service market in collaboration with Google Cloud Platform and the Google BigQuery team.

Drill to Detail Ep.64 ‘Google BigQuery, BI Engine and the Future of Data Warehousing’ with Special Guest Jordan Tigani

Mark Rittman is joined in this episode by Jordan Tigani, Director of Product Management at Google for Google BigQuery, to talk about the history of BigQuery and its technology origins in Dremel; how BigQuery has evolved since its original release to handle a wide range of data warehouse workloads; and new features announced for BigQuery at Google Next’19 including BI Engine, Storage API, Connected Sheets and a range of new data connectors from Supermetrics and Fivetran.

Drill to Detail Ep.42 'Evaluex, ML and Optimizing BigQuery & Athena' With Special Guest Avi Zloof

Mark is joined in this episode by Avi Zloof from Evaluex to talk about the new world of elastically-provisioned cloud-hosted analytic databases such as Google BigQuery and Amazon Athena, how their pricing model and vendor strategy differs from the traditional database vendors, and how machine learning can be used to automate performance tuning and optimize workloads in this new world of large-scale distributed query and storage. 

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.

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.23 ‘Looker, BigQuery and Analytics on Big Data’ With Special Guest Daniel Mintz

Mark Rittman is joined by Daniel Mintz from Looker to talk about BI and analytics on Google BigQuery, data modelling on the new generation of cloud-based distributed-data warehousing platforms, and Looker's re-introduction of semantic models to big data analytics developers.

Drill to Detail Ep.16 'Qubit, Visitor Cloud & Google BigQuery' With Special Guest Alex Olivier

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.