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.6 'Data Capital and the Economics of Big Data' with Special Guest Paul Sonderegger
Mark Rittman is joined by special guest Paul Sonderegger, Oracle's Big Data Strategist, to talk about Data Capital and the economic impact of big data.
Drill to Detail Ep. 5 'SnowflakeDB, and is Data Modeling Dead?' with Special Guest Kent Graziano
In this episode Mark Rittman is joined by Kent Graziano to answer the questions "Is data modeling now dead", and "is SnowflakeDB the future of analytic data engines in the cloud?"
- Better Data Modeling: An Introduction to Agile Data Engineering Using Data Vault 2.0
- Better Data Modeling: Tips for Enhancing Your Use of Oracle SQL Developer Data Modeler
- Kent Graziano Blog
- Building a Scalable Data Warehouse with Data Vault 2.0
- Snowflake Computing
- Gartner Magic Quadrant for Business Intelligence and Analytics Platforms 2016
- Gartner press release on their "modern BI platform"
Drill to Detail Ep.4 'Reference Architectures Revisited' with Special Guest Andrew Bond
In this episode I'm joined by Andrew Bond from Oracle's Enterprise Architecture team, to look back at the Oracle Information Management & Big Data Reference Architecture we collaborated on back in 2014 and ask ourselves what's changed, what parts of the architecture had the most impact and adoption in the market, and what are the challenges Andrew and his team see customers trying to overcome when deploying big data applications in the enterprise.
Drill to Detail Ep.2. 'Future of SQL on Hadoop', With Special Guest Dan McClary
Mark Rittman is joined by Dan McClary, ex-Oracle Big Data SQL PM and now working on Google's Storage Division on big data projects, to talk about the future of SQL-on-Hadoop.
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.