Data Engineering Podcast
A podcast by Tobias Macey - Sundays

Categories:
419 Episodes
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Reduce The Overhead In Your Pipelines With Agile Data Engine's DataOps Service
Published: 6/4/2023 -
A Roadmap To Bootstrapping The Data Team At Your Startup
Published: 5/29/2023 -
Keep Your Data Lake Fresh With Real Time Streams Using Estuary
Published: 5/21/2023 -
What Happens When The Abstractions Leak On Your Data
Published: 5/15/2023 -
Use Consistent And Up To Date Customer Profiles To Power Your Business With Segment Unify
Published: 5/7/2023 -
Realtime Data Applications Made Easier With Meroxa
Published: 4/24/2023 -
Building Self Serve Business Intelligence With AI And Semantic Modeling At Zenlytic
Published: 4/16/2023 -
An Exploration Of The Composable Customer Data Platform
Published: 4/10/2023 -
Mapping The Data Infrastructure Landscape As A Venture Capitalist
Published: 4/3/2023 -
Unlocking The Potential Of Streaming Data Applications Without The Operational Headache At Grainite
Published: 3/25/2023 -
Aligning Data Security With Business Productivity To Deploy Analytics Safely And At Speed
Published: 3/19/2023 -
Use Your Data Warehouse To Power Your Product Analytics With NetSpring
Published: 3/10/2023 -
Exploring The Nuances Of Building An Intentional Data Culture
Published: 3/6/2023 -
Building A Data Mesh Platform At PayPal
Published: 2/27/2023 -
The View Below The Waterline Of Apache Iceberg And How It Fits In Your Data Lakehouse
Published: 2/19/2023 -
Let The Whole Team Participate In Data With The Quilt Versioned Data Hub
Published: 2/11/2023 -
Reflecting On The Past 6 Years Of Data Engineering
Published: 2/6/2023 -
Let Your Business Intelligence Platform Build The Models Automatically With Omni Analytics
Published: 1/30/2023 -
Safely Test Your Applications And Analytics With Production Quality Data Using Tonic AI
Published: 1/22/2023 -
Building Applications With Data As Code On The DataOS
Published: 1/16/2023
This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.