Drill to Detail Ep.92 'dbt, Spectacles and Making Testing Sexy' with Special Guests Dylan Baker and Josh Temple

We're joined on this episode of Drill to Detail by Dylan Baker and Josh Temple to talk about developing multi-layer modern data stack projects, Spectacles’ recently released integration with dbt and what's now possible with their new public API

• Extending Spectacles with API-Triggered Runs

• Synchronizing Looker and dbt™ with Spectacles

• Drill to Detail Ep.82 'Looker Development, Automated Testing and Spectacles' with Special Guest Josh Temple

• Adding Looker Regression Tests to the dbtCloud CI/CD Test Pipeline using Spectacles

• Drill to Detail Ep.67 'Thinking Probabilistically and Scaling-Out the Modern BI Stack' with Special Guest Dylan Baker

Drill to Detail Ep.91 'GraphQL, Data Platform Engineers and Dagster' With Special Guest Nick Schrock

Mark Rittman is joined in this episode by Nick Schrock, ex-Facebook Engineer and now Founder of Elementl to talk about GraphQL, data platform engineers and @dagsterio, a data orchestrator for machine learning, analytics, and ETL.

• Introducing Dagster

• Dagster homepage

• Elementl homepage

• Orchestrating dbt with Dagster

• Moving past Airflow: Why Dagster is the next-generation data orchestrator

Drill to Detail Ep.90 'Apache Kafka, Real-Time Stream Processing and ksqlDB' with Special Guest Michael Drogalis

Mark Rittman is joined in this episode by Michale Drogalis, Product Manager at Confluent to talk about the history of Apache Kafka and real-time stream processing, the origins of kSQL and kSQLdb and the rationale and use-cases addressed by these products.

• ksqldDB product homepage

• Introducing ksqlDB Blog Post

• Kafka Streams vs. ksqlDB Blog Post

Drill to Detail Ep.89 'Firebolt and the History of Cloud Data Warehousing' with Special Guest Eldad Farkash

Mark Rittman is joined by Eldad Farkash, Co-Founder and CEO at Firebolt to talk about SiSense and Panorama, the history of cloud data warehouses and how Firebolt's technology delivers query results 4-6000x faster than Snowflake, Redshift and AWS Athena.

• Snowflake’s Co-Founder Marcin Żukowski Reflects On His Time At CWI

• Centrum Wiskunde & Informatica & MonetDB

• Eldad Farkash, inventor of In-Chip technology, takes top honors with IT Software (Individual) award

• Firebolt Touts Massive Speedup in Cloud Data Warehouse

• Why Firebolt?

Drill to Detail Ep.88 'Superset, Preset and the Future of Business Intelligence' with Special Guest Maxime Beauchemin

Maxime Beauchemin returns to the Drill to Detail Podcast and joins Mark Rittman to talk about what's new with Apache Airflow 2.0, the origin story for Apache Superset and now Preset.io, why the future of business intelligence is open source and news on Marquez, a reference implementation of the OpenLineage open source metadata service for the collection, aggregation, and visualization of a data ecosystem’s metadata sponsored by WeWork.

• The Rise of the Data Engineer

• Drill to Detail Ep.26 'Airflow, Superset & The Rise of the Data Engineer' with Special Guest Maxime Beauchemin

• Apache Airflow 2.0 is here!

• Apache Superset is a modern data exploration and visualization platform

• The Future of Business Intelligence is Open Source

• Powerful, easy to use data exploration and visualization platform, powered by Apache Superset™

• Admunsen: Open source data discovery and metadata engine

• OpenLineage

• Marquez: Collect, aggregate, and visualize a data ecosystem's metadata