DEW #121: Data Product @ Oda, Reflection Talking with Data Leaders & Great Migration To Snowflake
Data Engineering Weekly03/22/23 • 43 min
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From Data Engineering Weekly Edition #121, we took the following articles
Oda: Data as a product at Oda
Oda writes an exciting blog about “Data as a Product,” describing why we must treat data as a product, dashboard as a product, and the ownership model for data products.
https://medium.com/oda-product-tech/data-as-a-product-at-oda-fda97695e820
The blog highlights six key principles of the value creation of data.
- Domain knowledge + discipline expertise
- Distributed Data Ownership and shared Data Ownership
- Data as a Product
- Enablement over Handover
- Impact through Exploration and Experimentation
- Proactive attitude towards Data Privacy & Ethics
Ashwin & Ananth Conversation Highlights
- "Oda builds the whole data product principle & the implementation structure being built on top of the core values, instead of reflecting any industry jargons.”
- "Don't make me think. The moment you make your users think, you lose your value proposition as a platform or a product.”
- "The platform enables the domain; domain enables your consumer. It's a chain of value creation going on top and like simplifying everyone's life, accessing data, making informed decisions.”
- "I think putting that, documenting it, even at the start of it, I think that's where the equations start proving themselves. And that's essentially what product thinking is all about.”
Peter Bruins: Some reflections on talking with Data leaders
Data Mesh/ Data Product/ Data Contract all the concepts trying to address this problem, and this is a Billion $ $ $ worth of a problem to solve. The author leaves a bigger question, Ownership plays a central role in all these concepts, but what is the incentive to bring Ownership?
https://www.linkedin.com/pulse/some-reflections-talking-data-leaders-peter-bruins/
Ashwin & Ananth Conversation Highlights
- "Ownership. It's all about the ownership." - Peter Burns.
- "The weight of the success (growth of adoption) of the data leads to its failure.
Faire: The great migration from Redshift to Snowflake
Is Redshift dying? I’m seeing an increasing pattern of people migrating from Redshift to Snowflake or Lakehouse. Flair wrote a detailed blog on the reasoning behind Redshift to Snowflake migration, its journey, and its key takeaway.
https://craft.faire.com/the-great-migration-from-redshift-to-snowflake-173c1fb59a52
Flair also opensource some of the utility scripts to make your life easier to move from Redshift to Snowflake
https://github.com/Faire/snowflake-migration
Ashwin & Ananth Conversation Highlights
- "If you left like one percent of my data is still in Redshift and 99% of your data in Snowflake, you're degrading your velocity and the quality of your delivery.”
We thank all the writes of the blog for sharing their knowledge with the data community
03/22/23 • 43 min
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