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
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- October 2019 1
- November 2019 2
- December 2019 1
- January 2020 1
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- May 2020 2
- June 2020 1
- July 2020 1
- December 2020 1
- March 2021 3
- April 2021 2
- May 2021 1
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- 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 1
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 3
- 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.20 'MapR Platform Differentation, Scaling Hadoop and Microservices' With Special Guest Tugdall Grall
Mark Rittman is joined in this episode by MapR's Tugdall Grall to talk about MapR's platform differentation and relationship with open-source Hadoop, scaling and streaming, microservices, and MapR's platform strategy around big data workloads in the cloud.