Mark Rittman is joined by Yali Sassoon from Snowplow to talk about data pipelines and Hadoop in the cloud; how web analytics evolved from counting pageviews to today's event-level analysis of consumer behavoir across all digital channels; why digital analytics is hard but interesting; and Snowplow's approach to building a successful hybrid open-source/commercial software business that competes successfully with megavendors such as Google and Adobe.Snowplow websiteSnowplow Insights commercial hosted service detailsSnowplow Open-SourceEvolving Your Pipeline - Yali Sassoon - Snowplow Berlin Meetup #3Snowplow on Looker

Mark Rittman is joined in this episode by Greg Michaelson from DataRobot, talking about the benefits of automating the discovery and automation of analytics and machine learning in financial services and other industries.DataRobot: Automated Machine Learning for Predictive ModelingDataRobot for Business AnalystsAutomated Machine Learning Drives Intelligent Business (Jen Underwood, Information Week article)Marketing Attribution, Artificial Intelligence, and Game TheoryGreg Michaelson LinkedIn Profile

Mark Rittman is joined by ThoughtSpot's Chief Data Evangelist Doug Bordonaro to talk about the value of data, issues around trust and consent raised by the EU's new GDPR regulations, and how ThoughtSpot are applying ideas from search engines combined with artificial intelligence smarts to surface insights and drive real value for business users from their analytics investment.Value Becomes the 5th “V” in Big Data FactorsThoughtSpot - Search and AI-Driven Analytics for HumansThe ThoughtSpot BlogDoug Bordonaro on LinkedIn“Will GDPR Make Machine Learning Illegal?”

Mark Grover LinkedIn Profile and Github Profile"Hadoop Application Architectures" "Drill to Detail Ep. 7 'Apache Spark and Hadoop Application Architectures'Lyft Engineering Blog"Software Engineer to Product Manager" blog by Gwen Shapira"Introduction to the Oracle Data Integrator Topology" from the Oracle Data Integrator docs siteApache Airflow and Amazon Kinesis homepages "Experimentation in a Ridesharing Marketplace" by Nicholas Chamandy, Head of Data Science at Lyft"How Uber Eats Works with Restaurants""Deliveroo has built a bunch of tiny kitchens to feed more hungry Londoners" - Wired.co.uk

Mark Rittman is joined by Special Guest Fangjin Yang to talk about the history of Druid, a high-performance, column-oriented, distributed data store originally developed by the team at Metamarkets to provide fast ad-hoc access to large amounts of event-level marketing data, and his work at Imply to commercialise Druid and build a suite of supporting query and data management tools.Druid project homepageDruid - A Real-Time Analytical Data Store (pdf)Druid - Learning about the Druid ArchitectureImply.io homepageDruid, Imply and Looker 5 bring OLAP Analysis to BigQuery’s Data Warehouse

Mark Rittman is joined in this 50th Episode Special by our original guest on the first episode of Drill to Detail, Stewart Bryson, to talk about developing agile BI applications using FiveTran, SnowflakeDB and Looker and his recent work developing a BI solution for Google Play Marketing using Google Data Studio and Google Cloud Platform. We're also joined later in the show by Alex Gorbachev from Pythian, our mystery guest who Stewart then interviews flawlessly armed only with a set of questions given to him as the guest was unveiled ... though be sure to listen past the final closing music for the bonus out-takes.#115 Google Play Marketing with Dom Elliott and Stewart BrysonThe Next-Generation Jump ProgramThe Data Sharehouse is HereFrom Data Warehouse to Data SharehouseAlex Gorbachev profile on Pythian.com

Mark Rittman is joined by Will Davis from Trifacta to talk about the public beta of Google Cloud Dataprep, Trifacta's data wrangling platform and topics including metadata management, data quality and data management for big data and cloud data sources.Google Cloud Dataprep on Google Cloud Platform"Google Cloud Dataprep: Spreadsheet-Style Data Wrangling Powered by Google Cloud Dataflow""A New Cloud-Based Data Prep Solution from Google & Trifacta"Trifacta website"A Breakthrough Approach to Exploring and Preparing Data"Trifacta platform architecture"Garbage In, Garbage Out: Why Data Quality Matters""How to Put an Effective Metadata Strategy in Place"

- Oracle Designer page on Oracle.com- Bitmap Index page on Wikipedia- Mondrian project page on Github- Mondrian OLAP Server page on Wikipedia- MultiDimensional eXpressions (MDX) page on Wikipedia- Julian Hyde blog - Apache Calcite project homepage- Apache Calcite Introduction and Overview deck- Streaming SQL presentation at Apex Big Data World 2017, Mountain View, California

Mark is joined by long-term industry veteran and friend Christian Berg to talk about surviving fifteen years as a contractor in analytics industry, changes he's seen in the market and in how project are approached, the value in getting involved in the community, and in a specially extended Christmas and New Year edition we look back at what was topical in 2017 and what are Christian's predictions for 2018 ... and appoint Christian as Head of our Best Practices Found on the Internet.The 100 facets of Oracle Business Intelligence50 shades of #Fail - Oracle BI worst practices in real life

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 UsersMaster Data and Data Quality Management Now the #1 Trend in BIBI Trend Monitor 2018 Infographic: The Evolution of TrendsThe Business Intelligence Industry Continues Its Ongoing Empowerment of Business UsersThe OLAP Report: The origins of today’s OLAP products (c. 2005, from the Internet Archive)