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.

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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.

 

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Drill to Detail Ep.25 'SAP BusinessObjects Analytics, AI and Digital Transformation' With Special Guest Timo Elliott

Mark Rittman is joined by Timo Elliott, originally of Business Objects and now Innovation Evangelist for SAP, to talk about the origins of self-service BI with Business Objects' innovative "Universe" and the role analytics now plays within SAP; why analytics is the most important function within your organization and why the vast majority of analytics is still reporting (which isn't so bad); and the role AI and other innovations will play in analytics going in the future.

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Drill to Detail Ep.14 ‘Cloudy Big Data Paradigm-Shifting Christmas & New Year Special’ With Special Guest Robin Moffatt

Mark Rittman is joined in this Christmas & New Year special episode by none-other than Robin Moffatt, head of R&D at Rittman Mead and an old colleague from my consulting days, to talk about his experiences with Amazon Elastic MapReduce (EMR) for BI + Analytics and how "the devil's in the detail", and to hear his take on what happened in the BI and analytics world in 2016 and what to look out for in 2017.

ETL & Analytics Offload from Oracle to Amazon Web Services using Apache Spark, Redshift, and Presto

Source Control and Automated Code Deployment Options for OBIEE

All You Ever Wanted to Know About OBIEE Performance…but were too afraid to ask

Apache Kafka's Role in Implementing Oracle's Big Data Reference Architecture on the Big Data Appliance

Analysing the Panama Papers with Oracle Big Data Spatial and Graph

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