Data Engineering Podcast
A podcast by Tobias Macey - Duminică
Categories:
419 Episoade
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Presto Powered Cloud Data Lakes At Speed Made Easy With Ahana
Publicat: 02.09.2021 -
Do Away With Data Integration Through A Dataware Architecture With Cinchy
Publicat: 28.08.2021 -
Decoupling Data Operations From Data Infrastructure Using Nexla
Publicat: 25.08.2021 -
Let Your Analysts Build A Data Lakehouse With Cuelake
Publicat: 21.08.2021 -
Migrate And Modify Your Data Platform Confidently With Compilerworks
Publicat: 18.08.2021 -
Prepare Your Unstructured Data For Machine Learning And Computer Vision Without The Toil Using Activeloop
Publicat: 15.08.2021 -
Build Trust In Your Data By Understanding Where It Comes From And How It Is Used With Stemma
Publicat: 10.08.2021 -
Data Discovery From Dashboards To Databases With Castor
Publicat: 07.08.2021 -
Charting A Path For Streaming Data To Fill Your Data Lake With Hudi
Publicat: 03.08.2021 -
Adding Context And Comprehension To Your Analytics Through Data Discovery With SelectStar
Publicat: 31.07.2021 -
Building a Multi-Tenant Managed Platform For Streaming Data With Pulsar at Datastax
Publicat: 28.07.2021 -
Bringing The Metrics Layer To The Masses With Transform
Publicat: 23.07.2021 -
Strategies For Proactive Data Quality Management
Publicat: 20.07.2021 -
Low Code And High Quality Data Engineering For The Whole Organization With Prophecy
Publicat: 16.07.2021 -
Exploring The Design And Benefits Of The Modern Data Stack
Publicat: 13.07.2021 -
Democratize Data Cleaning Across Your Organization With Trifacta
Publicat: 09.07.2021 -
Stick All Of Your Systems And Data Together With SaaSGlue As Your Workflow Manager
Publicat: 05.07.2021 -
Leveling Up Open Source Data Integration With Meltano Hub And The Singer SDK
Publicat: 03.07.2021 -
A Candid Exploration Of Timeseries Data Analysis With InfluxDB
Publicat: 29.06.2021 -
Lessons Learned From The Pipeline Data Engineering Academy
Publicat: 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.