Data Engineering Podcast
Ein Podcast von Tobias Macey - Sonntags
419 Folgen
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Presto Powered Cloud Data Lakes At Speed Made Easy With Ahana
Vom: 2.9.2021 -
Do Away With Data Integration Through A Dataware Architecture With Cinchy
Vom: 28.8.2021 -
Decoupling Data Operations From Data Infrastructure Using Nexla
Vom: 25.8.2021 -
Let Your Analysts Build A Data Lakehouse With Cuelake
Vom: 21.8.2021 -
Migrate And Modify Your Data Platform Confidently With Compilerworks
Vom: 18.8.2021 -
Prepare Your Unstructured Data For Machine Learning And Computer Vision Without The Toil Using Activeloop
Vom: 15.8.2021 -
Build Trust In Your Data By Understanding Where It Comes From And How It Is Used With Stemma
Vom: 10.8.2021 -
Data Discovery From Dashboards To Databases With Castor
Vom: 7.8.2021 -
Charting A Path For Streaming Data To Fill Your Data Lake With Hudi
Vom: 3.8.2021 -
Adding Context And Comprehension To Your Analytics Through Data Discovery With SelectStar
Vom: 31.7.2021 -
Building a Multi-Tenant Managed Platform For Streaming Data With Pulsar at Datastax
Vom: 28.7.2021 -
Bringing The Metrics Layer To The Masses With Transform
Vom: 23.7.2021 -
Strategies For Proactive Data Quality Management
Vom: 20.7.2021 -
Low Code And High Quality Data Engineering For The Whole Organization With Prophecy
Vom: 16.7.2021 -
Exploring The Design And Benefits Of The Modern Data Stack
Vom: 13.7.2021 -
Democratize Data Cleaning Across Your Organization With Trifacta
Vom: 9.7.2021 -
Stick All Of Your Systems And Data Together With SaaSGlue As Your Workflow Manager
Vom: 5.7.2021 -
Leveling Up Open Source Data Integration With Meltano Hub And The Singer SDK
Vom: 3.7.2021 -
A Candid Exploration Of Timeseries Data Analysis With InfluxDB
Vom: 29.6.2021 -
Lessons Learned From The Pipeline Data Engineering Academy
Vom: 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.