Drill to Detail

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 Post

Kafka 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 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?

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

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 Platform

Data Mesh Part 1: Future of Data Integration with a Deep Dive into GoldenGate, Kafka and Spark

How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh

An Introduction to Real-Time Data Integration

Drill 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

The Drill to Detail Podcast returns for a new series with Mark joined by special guest Barr Moses to talk about data-driven customer success, data quality and the story behind her new data reliability startup Monte Carlo.

Monte Carlo - Data reliability delivered

dbt Data Source Freshness

Delivering End-to-End Data Observability with Looker and Monte Carlo

Data Observability: How to Build Your Own Anomaly Detectors Using SQL

Why Testing Your Data Is Insufficient

The Drill to Detail Podcast returns for an end-of-year and Coalesce 2020 special episode, with Mark Rittman joined by Tristan Handy from Fishtown Analytics along with Stewart Bryson from Red Pill Analytics.

Coalesce 2020

Drill to Detail Ep.78 ‘Coronavirus, Shutdowns and the Data Analytics Industry’ with Special Guest Seth Rosen

Snowflake Stock Has More Than Tripled Since Its IPO. CEO Frank Slootman Explains What’s Next.

Fishtown Analytics Announces $12.9M Fundraise

A License to build the future

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 Homepage

Futuremodel Early Access Beta Program

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