Data Engineering Podcast
Un podcast de Tobias Macey - Les dimanches
Catégories:
419 Épisodes
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Presto Powered Cloud Data Lakes At Speed Made Easy With Ahana
Publié: 02/09/2021 -
Do Away With Data Integration Through A Dataware Architecture With Cinchy
Publié: 28/08/2021 -
Decoupling Data Operations From Data Infrastructure Using Nexla
Publié: 25/08/2021 -
Let Your Analysts Build A Data Lakehouse With Cuelake
Publié: 21/08/2021 -
Migrate And Modify Your Data Platform Confidently With Compilerworks
Publié: 18/08/2021 -
Prepare Your Unstructured Data For Machine Learning And Computer Vision Without The Toil Using Activeloop
Publié: 15/08/2021 -
Build Trust In Your Data By Understanding Where It Comes From And How It Is Used With Stemma
Publié: 10/08/2021 -
Data Discovery From Dashboards To Databases With Castor
Publié: 07/08/2021 -
Charting A Path For Streaming Data To Fill Your Data Lake With Hudi
Publié: 03/08/2021 -
Adding Context And Comprehension To Your Analytics Through Data Discovery With SelectStar
Publié: 31/07/2021 -
Building a Multi-Tenant Managed Platform For Streaming Data With Pulsar at Datastax
Publié: 28/07/2021 -
Bringing The Metrics Layer To The Masses With Transform
Publié: 23/07/2021 -
Strategies For Proactive Data Quality Management
Publié: 20/07/2021 -
Low Code And High Quality Data Engineering For The Whole Organization With Prophecy
Publié: 16/07/2021 -
Exploring The Design And Benefits Of The Modern Data Stack
Publié: 13/07/2021 -
Democratize Data Cleaning Across Your Organization With Trifacta
Publié: 09/07/2021 -
Stick All Of Your Systems And Data Together With SaaSGlue As Your Workflow Manager
Publié: 05/07/2021 -
Leveling Up Open Source Data Integration With Meltano Hub And The Singer SDK
Publié: 03/07/2021 -
A Candid Exploration Of Timeseries Data Analysis With InfluxDB
Publié: 29/06/2021 -
Lessons Learned From The Pipeline Data Engineering Academy
Publié: 26/06/2021
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.