Data Engineering Podcast
A podcast by Tobias Macey - Sundays

Categories:
419 Episodes
-
Presto Powered Cloud Data Lakes At Speed Made Easy With Ahana
Published: 9/2/2021 -
Do Away With Data Integration Through A Dataware Architecture With Cinchy
Published: 8/28/2021 -
Decoupling Data Operations From Data Infrastructure Using Nexla
Published: 8/25/2021 -
Let Your Analysts Build A Data Lakehouse With Cuelake
Published: 8/21/2021 -
Migrate And Modify Your Data Platform Confidently With Compilerworks
Published: 8/18/2021 -
Prepare Your Unstructured Data For Machine Learning And Computer Vision Without The Toil Using Activeloop
Published: 8/15/2021 -
Build Trust In Your Data By Understanding Where It Comes From And How It Is Used With Stemma
Published: 8/10/2021 -
Data Discovery From Dashboards To Databases With Castor
Published: 8/7/2021 -
Charting A Path For Streaming Data To Fill Your Data Lake With Hudi
Published: 8/3/2021 -
Adding Context And Comprehension To Your Analytics Through Data Discovery With SelectStar
Published: 7/31/2021 -
Building a Multi-Tenant Managed Platform For Streaming Data With Pulsar at Datastax
Published: 7/28/2021 -
Bringing The Metrics Layer To The Masses With Transform
Published: 7/23/2021 -
Strategies For Proactive Data Quality Management
Published: 7/20/2021 -
Low Code And High Quality Data Engineering For The Whole Organization With Prophecy
Published: 7/16/2021 -
Exploring The Design And Benefits Of The Modern Data Stack
Published: 7/13/2021 -
Democratize Data Cleaning Across Your Organization With Trifacta
Published: 7/9/2021 -
Stick All Of Your Systems And Data Together With SaaSGlue As Your Workflow Manager
Published: 7/5/2021 -
Leveling Up Open Source Data Integration With Meltano Hub And The Singer SDK
Published: 7/3/2021 -
A Candid Exploration Of Timeseries Data Analysis With InfluxDB
Published: 6/29/2021 -
Lessons Learned From The Pipeline Data Engineering Academy
Published: 6/26/2021
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.