Mark Rittman is joined each week by a special guest from the world of business intelligence, analytics and big data.
Drill to Detail Ep.83 ‘Abstracting, Extending and Automating Looker with Futuremodel’ with Special Guest Davis Clark
Mark Rittman is joined in this episode by Davis Clark, Founder at Futuremodel, to talk about democratizing Looker development by automating and abstracting the process of LookML development.
Futuremodel Early Access Beta Program
Ep.82 'Looker Development, Automated Testing and Spectacles' with Special Guest Josh Temple
Mark Rittman is joined in this episode by Josh Temple, Analytics Engineer at Spotify to talk about analytics development, automated testing and Spectacles, an open-source tool and SaaS service that automatically tests your LookML to ensure Looker always runs smoothly for your users.
Spectacles product homepage and early access program
Data Tests in Looker
Automated testing in the modern data warehouse
#JOIN19 - Using Customized Open-Source Tools With LookML
Continuous Integration and Automated Build Testing with dbtCloud
Ep.81 'Meltano, Singer Taps and Open-Source Data Pipelines' with Special Guest Douwe Maan
Drill to Detail Ep.80 'Data Architecture and Data Teams at Hubspot' with Special Guest James Densmore
Mark Rittman is joined in this episode by Hubspot's Director of Data Infrastructure James Densmore to talk about distributed and remote-friendly data teams, DevOps with dbt and Apache Airflow and career path options for data engineers.
How should I structure my data team? A look inside HubSpot, Away, M.M. LaFleur, and more (dbt Blog)
Software Engineers do not Need to Become Managers to Thrive (Data Liftoff Blog)
The Misunderstood Data Engineer (Data Liftoff Blog)
Modular ELT (Data Liftoff Blog)
Test SQL Pipelines against Production Clones using DBT and Snowflake (Dan Gooden)
HubSpot Data Actions, Harvest Analytical Workflows and Looker Data Platform (Rittman Analytics Blog)
Ep.79 'Scaling the Modern Data Analytics Stack' with Special Guests Drew Banin and Stewart Bryson
Mark Rittman is joined by special guests Drew Banin, co-founder of Fishtown Analytics and maintainer of dbt (data build tool) and Stewart Bryson, long-time friend of the show and CEO/Co-founder of Red Pill Analytics to talk about scaling modern data stack projects from startups to the enterprise; how do you deal with data quality issues when there’s no central record of customers, how do we introduce data governance, enterprise requirements and meet the needs of enterprise architects and how do we scale concepts such as agile and analytics as engineering beyond our initial champion and data team?
The dbt Viewpoint
Fishtown Analytics and Drew Banin
Multi-Channel Marketing Attribution using Segment, Google BigQuery, dbt and Looker
Getting Started with dbt.
Red Pill Analytics
Drill to Detail Ep.78 ‘Coronavirus, Shutdowns and the Data Analytics Industry’ with Special Guest Seth Rosen
In this special episode of Drill to Detail Mark Rittman is joined by Seth Rosen, Co-Founder and Principal at Hashpath to talk about the impact of COVID-19 and the subsequent economic shutdown on the business of analytics and product startups, the work being done in the community to help find a cure and the role that data and analytics can have in accelerating the post-shutdown recovery.
“A COVID-19 Dashboard for Massachusetts using Looker and BigQuery” - Hashpath.com blog
“The Virus Survival Strategy for your Startup"
“COVID-19: Implications for business” - McKinsey
“As COVID-19 data sets become more accessible, novel coronavirus pandemic may be most visualized ever” - ZDNet.com
“Leave COVID-19 analysis to the experts” - Japan Times
Customer ReviewsSee All
Conversations and market awareness
Mark, Fantastic podcast to stay up to speed with data & analytics market, and vendor roadmaps. I particularly like your questions around problems that specific tools try to solve as well as those around comparison with similar tools.
Stand out episodes for me have been the ones with Colin Zima, Mike Ferguson and Stewart Bryson. The one on Snowplow hit home as I am currently working on similar analytic domains.