Drill to Detail Ep.41 'Developing with Google BigQuery and Google Cloud Platform' With Special Guest Felipe Hoffa

Mark is joined in this episode by Google Cloud Platform Developer Advocate Felipe Hoffa, talking about getting started as a developer using Google BigQuery along with Google Cloud Dataflow, Google Cloud Dataprep and Google Cloud Platform's machine learning APIs.

• Reddit BigQuery Forum
• Felipe Hoffa on Stack Overflow
• Felipe Hoffa on Medium
• Google Cloud Dataprep
• "How to aggregate data for BigQuery using Apache Airflow"
• Google Cloud Platform Github Repo

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.

• Qubit Visitor Cloud and Qubit's Infrastructure
• "A new age of Machine Learning is here" - Qubit Blog
• How Qubit's Data Supply Chain Shows the Power of HBASE
• Big Data Analytics at Google Scale
• BigQuery for Data Warehouse Practitioners
• Alex Olivier on Qubit's Infrastructure at Google NEXT London 2016

Drill to Detail Ep.2. 'Future of SQL on Hadoop', With Special Guest Dan McClary

In the second episode of Drill to Detail, I'm joined by special guest Dan McClary, ex-Oracle Big Data SQL product manager and now working at Google on storage and big data projects. Dan and I discuss the state of the SQL-on-Hadoop market and where he's seeing the innovation; how the mega-vendors are contributing to, extending and competing with the Hadoop ecosystem; and what he's seeing coming out of the likes of Google, Yahoo and other Hadoop innovators that may well make its way into the next Apache Hadoop project.