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