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