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
- September 2024 1
- October 2024 2
- November 2024 2
Tags
- AI 3
- 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 4
- Customer Data Platform 4
- Dagster 2
- Data Capital 2
- Data Catalogs 1
- Data Discovery 1
- Data Engineering 6
- 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.91 'GraphQL, Data Platform Engineers and Dagster' With Special Guest Nick Schrock
Mark Rittman is joined in this episode by Nick Schrock, ex-Facebook Engineer and now Founder of Elementl to talk about GraphQL, data platform engineers and @dagsterio, a data orchestrator for machine learning, analytics, and ETL.
Drill to Detail Ep.90 'Apache Kafka, Real-Time Stream Processing and ksqlDB' with Special Guest Michael Drogalis
Mark Rittman is joined in this episode by Michale Drogalis, Product Manager at Confluent to talk about the history of Apache Kafka and real-time stream processing, the origins of kSQL and kSQLdb and the rationale and use-cases addressed by these products.
Drill to Detail Ep.89 'Firebolt and the History of Cloud Data Warehousing' with Special Guest Eldad Farkash
Mark Rittman is joined by Eldad Farkash, Co-Founder and CEO at Firebolt to talk about SiSense and Panorama, the history of cloud data warehouses and how Firebolt's technology delivers query results 4-6000x faster than Snowflake, Redshift and AWS Athena.
Mark Rittman is joined by Eldad Farkash, Co-Founder and CEO at Firebolt to talk about SiSense and Panorama, the history of cloud data warehouses and how Firebolt's technology delivers query results 4-6000x faster than Snowflake, Redshift and AWS Athena.
Drill to Detail Ep.88 'Superset, Preset and the Future of Business Intelligence' with Special Guest Maxime Beauchemin
Maxime Beauchemin returns to the Drill to Detail Podcast and joins Mark Rittman to talk about what's new with Apache Airflow 2.0, the origin story for Apache Superset and now Preset.io, why the future of business intelligence is open source and news on Marquez, a reference implementation of the OpenLineage open source metadata service for the collection, aggregation, and visualization of a data ecosystem’s metadata sponsored by WeWork.
Drill to Detail Ep. 86 'Reverse ETL, Hightouch and CDW as CDP' with Special Guest Tejas Manohar
Mark Rittman is joined by Tejas Manohar from Hightouch to talk about the concept of "reverse ETL", his journey from working on Segment's Personas product to co-founding Hightouch and his recent guest post on the Fivetran Blog, "Why Your Customer Data Platform Should Be the Data Warehouse".