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.40 'Fivetran's Middleware for SaaS Data' With Special Guest Taylor Brown
Mark Rittman is joined in this episode by Taylor Brown from Fivetran to talk about middleware for SaaS data, their focus on integrations with SaaS vendors and how this differentiates their offering, his thoughts on packaged analytic applications announced at the recent Looker Join conference ... and where the name "Fivetran" came from.
Drill to Detail Ep.35 'Stitch Data, Singer and ETL for Data Engineers' With Special Guest Jake Stein
In this episode Mark is joined by Jake Stein to talk about Stitch Data and their ETL tool for data engineers, the new open-source project Singer and his experiences building a software startup that both partners and competes with the big cloud platform vendors.
- Stitch Data
- Singer: Simple, Composable Open-Source ETL
- Setting the Data Strategy for Your Growing Organization
- The State of Data Engineering
- The State of Data Science
- Why our ETL Tool Doesn't Do Transformations
- Airflow: a workflow management platform
- Goodbye RJMetrics, Hello Fishtown Analytics
- Engineers Shouldn’t Write ETL: A Guide to Building a High Functioning Data Science Department
Drill to Detail Ep.33 'Building Out Analytics Functions in Startups' With Special Guest Tristan Handy
In this episode Mark is joined by Tristan Handy from Fishtown Analytics to talk about building-out analytics functions in high-growth startups, and three related blog posts he wrote on this topic.
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.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.