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