Maarten Masschelein

[Maarten Masschelein @masscheleinm]

@pdrmnvd Check out Soda Core! https://t.co/7bOl5WjhQU

[Maarten Masschelein @masscheleinm]

@criccomini @AbeGong @glebmm @leowmjw @datafoldcom @expectgreatdata @anomalo_hq Makes total sense @criccomini. Reliability of EL is done by data/analytics engineering (via different test types). Quality (validation) is done outside of the pipeline and is the responsibility of producers & consumers, which know the data & can actually fix record-level issues.

[Maarten Masschelein @masscheleinm]

@criccomini @glebmm @leowmjw @datafoldcom @expectgreatdata @anomalo_hq Got it. I've just never heard of assertions in a business context. Assertions are needed to test what you expect before you transform data. It's bad practice however to encode business rules as assertions in pipelines. Unless you want to go back to the 90s where we did just that.

[Maarten Masschelein @masscheleinm]

@simonw Yes! Take a look at Soda Core! Hope you'll find it amazing :)

[Maarten Masschelein @masscheleinm]

@kamal_hothi I'd recommend taking a look at Soda Core as well.

[Towards Data Science @TDataScience]

Don't miss @MahdiKarabiben's detailed overview of the past and present of data validation, and the workflows that will ensure data quality at scale. https://t.co/rcz0i7DPIl

[Metaphor Data @MetaphorData]

We’re excited to announce our partnership with @sodadata, which brings powerful data quality metrics and insights to the Metaphor platform! Read more here: https://t.co/9R6NT9oGUz #data #datateams #dataobservability

[Maarten Masschelein @masscheleinm]

@peeterskris @zevav @sodadata Yes! Hey Zev, Soda SQL & Soda Cloud to the rescue. With Soda SQL you can collect all those metrics. With Soda Cloud you can store the results and dashboard over time (https://t.co/Ij9yFdANou). We also have a reporting API for Soda Cloud if you want to dashboard in e.g. Tableau.

[Maarten Masschelein @masscheleinm]

@ale_lollo87 @xavier2bois @sodadata @datafoldcom @Databand_ai Most definitely, check out https://t.co/FI6ayHDYmV for more details!

[Maarten Masschelein @masscheleinm]

@data_mesh_learn @mattturck @john_d_wu Agreed, I was more sketching where the term originated. Both are about organization, people and processes.

[Sean Kerner @TechJournalist]

Brussels based @sodadata launches cloud service to improve data observability https://t.co/3vg7TWjN8L via @TTBusinessTech

[Maria Luciana Axente @maria_axente]

This is really a no brainier but it has to be stressed out - @AndrewYNg wants the ML community to focus more on data than models; he emphasized the importance of MLOps to build and deploy machine learning models more systematically. https://t.co/D1Eo9tfcGZ

[Alex Theuma @alextheuma]

Join me live at today at 5.15pm GMT for 'Deconstructing the Raise' with @masscheleinm Co-Founder & CEO of @sodadata who talks us through the two funding rounds he did in 2020 and 2021. Join us live here: https://t.co/9GlfEMV48F

[Soda @sodadata]

Soda is a proud sponsor at @iLoveDataOps virtual event! Check out @vijaykiran session on #dataops principles & practices!
https://t.co/MomLb3YJfp
#datamonitoring #data #dataquality #dataengineer #datamanagement #DataAnalytics #datareliability #dataobservability #dataproducts

[Maarten Masschelein @masscheleinm]

@sarahcat21 We've been going back and forth on this as well at Soda. We've found that making it easy for the engineer to quickly iterate and involve non-tech users (SMEs) via the UI works really well for our use-case.

[Maarten Masschelein @masscheleinm]

@SylviaTomiyama Amazing work!

[Maarten Masschelein @masscheleinm]

@chrija Love it

[Maarten Masschelein @masscheleinm]

@TopioNetworks @ArbolMarket @insightfinders @TalkingData_HQ @1plusX @sodadata @philippe_cases @kyleellicott @juergengaller Thank you!