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This episode explains the differences between data warehouses, data lakes, and data marts for tech startups. It details their key features and use cases and explains how to implement them using Amazon Web Services (AWS). The article also discusses data mesh as a decentralized alternative and provides best practices for startups, emphasizing starting small, leveraging serverless options, and focusing on scalability and cost management. Finally, it stresses the importance of choosing the right data management strategy for efficient insight generation.
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Podcast:
https://kabir.buzzsprout.com
YouTube:
https://www.youtube.com/@kabirtechdives
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4.7
3333 ratings
This episode explains the differences between data warehouses, data lakes, and data marts for tech startups. It details their key features and use cases and explains how to implement them using Amazon Web Services (AWS). The article also discusses data mesh as a decentralized alternative and provides best practices for startups, emphasizing starting small, leveraging serverless options, and focusing on scalability and cost management. Finally, it stresses the importance of choosing the right data management strategy for efficient insight generation.
Send us a text
Support the show
Podcast:
https://kabir.buzzsprout.com
YouTube:
https://www.youtube.com/@kabirtechdives
Please subscribe and share.
5,432 Listeners