Mark Rittman is joined in this episode by Peter Fishman to talk about Mozart Data, the modern data stack and the need to automate the role of the analytics engineer.MozartData websiteData Bites: A Virtual Lunch and Learn with Powered by Fivetran, Snowflake and Mozart Data Launch HN: Mozart Data (YC S20) – One-stop shop for a modern data pipeline

Mark Rittman is joined by Eric Dodds to talk about Rudderstack's founding story and open-source roots, Segment compatibility and event-based pricing vs. MTUs and Rudderstack's "Warehouse-First" approach to building customer data platforms.Rudderstack's Data Stack : Deep Dive Introducing RudderStack Cloud: The Warehouse-First CDP for DevelopersRudderstack, Snowplow and Open-Source CDP Alternatives to SegmentHow Twilio is Shaping SegmentEvent-Based Analytics (and BigQuery Export) comes to Google Analytics 4; How Does It Work… and What’s the Catch?Why (and How) Customer Data Warehouses are the New Customer Data PlatformWhy Take a Warehouse-First Approach to Analytics

In this first episode of a new series, Mark Rittman is joined by Katie Hindson to talk about Lightdash, a new open-source alternative to Looker that uses dbt as its metrics layer and semantic model.Lightdash.comWhat is the dbt Metrics Layer? Lightdash, Looker and dbt as the BI Tool Metrics Layer

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 APIExtending Spectacles with API-Triggered RunsSynchronizing Looker and dbt™ with SpectaclesDrill 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 SpectaclesDrill to Detail Ep.67 'Thinking Probabilistically and Scaling-Out the Modern BI Stack' with Special Guest Dylan Baker

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

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 PostKafka Streams vs. ksqlDB Blog Post

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 CWICentrum Wiskunde & Informatica & MonetDBEldad Farkash, inventor of In-Chip technology, takes top honors with IT Software (Individual) awardFirebolt Touts Massive Speedup in Cloud Data WarehouseWhy Firebolt?

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 EngineerDrill to Detail Ep.26 'Airflow, Superset & The Rise of the Data Engineer' with Special Guest Maxime BeaucheminApache Airflow 2.0 is here!Apache Superset is a modern data exploration and visualization platformThe Future of Business Intelligence is Open SourcePowerful, easy to use data exploration and visualization platform, powered by Apache Superset™Admunsen: Open source data discovery and metadata engineOpenLineageMarquez: Collect, aggregate, and visualize a data ecosystem's metadata

Mark Rittman is joined in this episode by Jeff Pollock, Vice President Product Development for Fast Data at Oracle, to talk about the history of Oracle Data Integration from Warehouse Builder and Sunopsis to the move to the cloud and today’s distributed “data mesh”, based around Oracle’s fast data product, Oracle GoldenGate.Technology Brief : Dynamic Data Fabric and Trusted Data Mesh using the Oracle GoldenGate PlatformData Mesh Part 1: Future of Data Integration with a Deep Dive into GoldenGate, Kafka and SparkHow to Move Beyond a Monolithic Data Lake to a Distributed Data MeshAn Introduction to Real-Time Data IntegrationDrill to Detail Ep.22 'SnapLogic's Enterprise Integration Cloud' With Special Guest Craig Stewart

Mark Rittman is joined by Tejas Manohar from Hightouch to talk about the concept of "reverse ETL", his journey from working on Segment's Personas product to co-founding Hightouch and his recent guest post on the Fivetran Blog, "Why Your Customer Data Platform Should Be the Data Warehouse".Why Your Customer Data Platform Should Be the Data Warehouse Hightouch Ushers In The Era Of Operational Analytics Hightouch homepage Customer 360 Data Warehousing and Sync to Hubspot using BigQuery, dbt, Looker and Hightouch Why (and How) Customer Data Warehouses are the New Customer Data Platform Drill to Detail Ep.76 'Segment, Ecosystems and Customer Data Platforms' with Special Guest Calvin French-Owen