Open||Source||Data

Podcast autorstwa Charna Parkey

104 Odcinki

Metadata, Communities, and Architecture with Shirshanka Das
Opublikowany: 16.09.2021
Data Management Pain Points and Future Solutions for Data Discovery
Opublikowany: 2.09.2021
ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova
Opublikowany: 19.08.2021
Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel
Opublikowany: 5.08.2021
MLOps, AIOps, and Data Startups with Jocelyn Goldfein
Opublikowany: 22.07.2021
Git-Like Branch and Merge for Data with Einat Orr
Opublikowany: 8.07.2021
Data Discoverability, Products, and User Diversity with Shinji Kim
Opublikowany: 24.06.2021
Data Observability, Customer-Led Growth, and Confidence with Barr Moses
Opublikowany: 10.06.2021
Open Source Data & Its Role in the Future of Technology: Season 1 Recap
Opublikowany: 22.04.2021
Data Visualization, Democratization, and Javascript with Melody Meckfessel
Opublikowany: 25.03.2021
DataOps, MLOps, and Self Service: How Data Teams are Changing
Opublikowany: 11.03.2021
Fabrics, Meshes, and Graphs with Deloitte Principal Dave Thomas
Opublikowany: 25.02.2021
Metadata, Graphs, and Responsible AI with Paco Nathan
Opublikowany: 11.02.2021
Data Analytics: Hard Skills vs Soft Skills and the Gift of Thinking Different
Opublikowany: 28.01.2021
Global Connectivity: Share and Democratize Through Open Data
Opublikowany: 14.01.2021
From DBA to SRE: 2021 Predictions for Data on Kubernetes
Opublikowany: 23.12.2020
Open Source’s Impact in Academia with Open@RIT's Stephen Jacobs
Opublikowany: 10.12.2020
Data Meshes: Big Data Architecture Becoming Distributed, Declarative and Domain Oriented
Opublikowany: 25.11.2020
Data on Kubernetes: Platform, Resource, and Ecosystem tooling with Microsoft Azure’s Lachlan Evenson
Opublikowany: 12.11.2020
Data, Kubernetes, and Our Best Selves with Google’s Kelsey Hightower
Opublikowany: 29.10.2020

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What can we learn from ai-native development through stimulating conversations with developers, regulators, academics and people like you that drive forward development, seek to understand impact, and are working to mitigate risk in this new world? Join Charna Parkey and the community shaping the future of open source data, open source software, data in AI, and much more.

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104 Odcinki

Metadata, Communities, and Architecture with Shirshanka Das

Data Management Pain Points and Future Solutions for Data Discovery

ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova

Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel

MLOps, AIOps, and Data Startups with Jocelyn Goldfein

Git-Like Branch and Merge for Data with Einat Orr

Data Discoverability, Products, and User Diversity with Shinji Kim

Data Observability, Customer-Led Growth, and Confidence with Barr Moses

Open Source Data & Its Role in the Future of Technology: Season 1 Recap

Data Visualization, Democratization, and Javascript with Melody Meckfessel

DataOps, MLOps, and Self Service: How Data Teams are Changing

Fabrics, Meshes, and Graphs with Deloitte Principal Dave Thomas

Metadata, Graphs, and Responsible AI with Paco Nathan

Data Analytics: Hard Skills vs Soft Skills and the Gift of Thinking Different

Global Connectivity: Share and Democratize Through Open Data

From DBA to SRE: 2021 Predictions for Data on Kubernetes

Open Source’s Impact in Academia with Open@RIT's Stephen Jacobs

Data Meshes: Big Data Architecture Becoming Distributed, Declarative and Domain Oriented

Data on Kubernetes: Platform, Resource, and Ecosystem tooling with Microsoft Azure’s Lachlan Evenson

Data, Kubernetes, and Our Best Selves with Google’s Kelsey Hightower