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.46 'Market Trends and Findings from the BI Survey 17' With Special Guest Dr. Carsten Bange
Mark Rittman is joined in this episode of Drill to Detail by Dr. Carsten Bange from BARC to talk about findings from the recently completed BI Survey 17 including the continuing move to modern BI platforms and self-service desktop tools, analytics adoption trends and the increasing incorporation of BI functionality within business applications, the surprising topicality of master data management and data governance ... and whatever happened to Nigel Pendse and his legendary OLAP Report?
- The BI Survey 17: The World’s Largest Annual Survey of BI Users
- Master Data and Data Quality Management Now the #1 Trend in BI
- BI Trend Monitor 2018 Infographic: The Evolution of Trends
- The Business Intelligence Industry Continues Its Ongoing Empowerment of Business Users
- The OLAP Report: The origins of today’s OLAP products (c. 2005, from the Internet Archive)
Drill to Detail Ep.45 'Tellius, YellowFin and the State of AI in Analytics Today' With Special Guest Jen Underwood
Mark Rittman is joined in this episode by returning special guest Jen Underwood to talk about what's new and innovative in the BI and analytics industry right now, and how AI and machine learning are this year's data discovery and data visualization.
Mark Rittman is joined in this episode by returning special guest Jen Underwood to talk about what's new and innovative in the BI and analytics industry right now, and how AI and machine learning are this year's data discovery and data visualization.
- "Between The Lines At Tableau Conference" - Jen Underwood.com blog
- "Transform The Business With Automated Embedded Artificial Intelligence" - JenUnderwood.com blog
- "Moving From Bi To Machine Learning With Automation" - JenUnderwood.com blog
- "How Smart Data Discovery Will Radically Transform Analytics" - Tellius Webinar with Jen Underwood
- YellowFin BI - homepage
- Paxata - homepage
- "Drill To Detail Ep.8 'Self-Service BI, Data Prep & Big Data Vendor Strategy' With Special Guest Jen Underwood"
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.43 'Oracle Analytics, Data Visualization Desktop 4.0 and The Art of Product Management' with Special Guest Mike Durran
Mark is joined by Mike Durran from the Oracle Analytics Product Management team in this UKOUG Tech’17 special to talk about his route into product management via the Oracle Discoverer BI tool, Oracle’s latest product in this space Oracle Data Visualization Desktop 4 and its new features, and Mike’s upcoming sessions at the UK Oracle User Group’s Tech’17 event next week in Birmingham, UK.
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.