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.
Months
- September 2016 2
- October 2016 4
- November 2016 5
- December 2016 3
- January 2017 2
- February 2017 3
- March 2017 4
- April 2017 1
- May 2017 4
- June 2017 4
- July 2017 4
- August 2017 1
- September 2017 1
- October 2017 3
- November 2017 2
- December 2017 4
- January 2018 1
- February 2018 2
- March 2018 1
- April 2018 2
- May 2018 2
- June 2018 2
- July 2018 1
- October 2018 1
- March 2019 2
- April 2019 3
- May 2019 2
- June 2019 3
- July 2019 2
- August 2019 1
- October 2019 1
- November 2019 2
- December 2019 1
- January 2020 1
- April 2020 2
- May 2020 2
- June 2020 1
- July 2020 1
- December 2020 1
- March 2021 3
- April 2021 2
- May 2021 1
- June 2021 2
- March 2022 2
- April 2022 2
- May 2022 2
- February 2023 1
- March 2023 2
- April 2023 2
- May 2023 1
- June 2023 2
- July 2023 2
- August 2023 2
- September 2023 1
Tags
- AI 2
- Airbnb 1
- Airflow 3
- Amazon Athena 2
- Amazon Web Services 1
- Analytics in Startups 5
- Apache Arrow 2
- Apache Drill 2
- Apache Kafka 2
- Apache Kud 1
- Apache Kudu 2
- Artificial Intelligence 5
- Automated Analytics 3
- Bi-Modal Analytics 5
- BiModal IT 2
- Cloudera 2
- Confluent 1
- Consulting 3
- Cube 2
- Customer Data Platform 4
- Dagster 2
- Data Capital 2
- Data Catalogs 1
- Data Discovery 1
- Data Engineering 4
- Data Fabric 1
- Data Governance 6
- Data Lineage 1
- Data Modelling 5
- Data Pipelines 5
- Data Platform Engineers 1
- Data Prep 3
- Data Quality 4
- Data Robot 1
- Data Teams 1
- Data Warehousing 4
- Databricks 1
- Devops 1
- DuckDB 1
- ETL 2
- Elasticsearch 1
- Embedded Analytics 1
- Evaluex 1
- Firebolt 1
- Fishtown Analytics 1
- FiveTran 2
- GA4 1
- GDPR 2
- Gartner 5
- Gluent 2
Drill to Detail Ep.62 'Enterprise analytics, DW Modernization and the rediscovery of Data Governance' With Special Guest Mike Ferguson
Mark Rittman is joined in this episode by Mike Ferguson, long-term analyst, consultant and Managing Director of Intelligent Business Strategies to talk about data warehouse modernization, analytics and big data project success within enterprise customers and the re-emergence of interest in data governance and master data management within the industry.
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.
- Mark Grover LinkedIn Profile and Github Profile
- "Hadoop Application Architectures"
- "Drill to Detail Ep. 7 'Apache Spark and Hadoop Application Architectures'
- Lyft Engineering Blog
- "Software Engineer to Product Manager" blog by Gwen Shapira
- "Introduction to the Oracle Data Integrator Topology" from the Oracle Data Integrator docs site
- Apache Airflow and Amazon Kinesis homepages
- "Experimentation in a Ridesharing Marketplace" by Nicholas Chamandy, Head of Data Science at Lyft
- "How Uber Eats Works with Restaurants"
- "Deliveroo has built a bunch of tiny kitchens to feed more hungry Londoners" - Wired.co.uk
Drill to Detail Ep.44 'Pandas, Apache Arrow and In-Memory Analytics' With Special Guest Wes McKinney
Mark is joined in this episode of Drill to Detail by Wes McKinney, to talk about the origins of the Python Pandas open-source package for data analysis and his subsequent work as a contributor to the Kudu (incubating) and Parquet projects within the Apache Software Foundation and Arrow, an in-memory data structure specification for use by engineers building data systems and the de-facto standard for columnar in-memory processing and interchange.
Mark is joined in this episode of Drill to Detail by Wes McKinney, to talk about the origins of the Python Pandas open-source package for data analysis and his subsequent work as a contributor to the Kudu (incubating) and Parquet projects within the Apache Software Foundation and Arrow, an in-memory data structure specification for use by engineers building data systems and the de-facto standard for columnar in-memory processing and interchange.
- Python Data Analysis Library
- "Ibis on Impala: Python at Scale for Data Science"
- Drill To Detail Ep.3 'Apache Kudu And Cloudera's Analytic Platform' With Special Guest Mike Percy
- Apache Arrow homepage
- "Apache Arrow and the "10 Things I Hate About pandas"
- "Apache Arrow vs. Parquet and ORC: Do we really need a third Apache project for columnar data representation?"
- "Some comments to Daniel Abadi's blog about Apache Arrow"
- Wes McKinney homepage
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.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.