Snowflake

What should teams avoid when adopting Snowflake in early-stage data projects?

The question is about Snowflake .

Answer:
Early Snowflake projects should avoid running large, unoptimised queries without clustering keys or materialised views, as full table scans quickly accumulate significant compute costs. Refrain from using X-Large warehouses for exploratory queries that could be executed on smaller warehouse sizes. Do not store transactional application data in Snowflake, as it is optimised for analytical workloads rather than OLTP. Avoid using Snowflake until data volumes justify its cost over PostgreSQL or BigQuery for early-stage analytics.

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Cortance 5-star rating on ClutchCortance 5-star rating on GoodFirms
Catherine Ilaschuk
Marketing Assistant

Cortance helped us to deliver the system on time, even with the client's last-minute feature requests. The launch was a success, and the client left a very positive feedback. Describe your overall experience in details. And because the client was very satisfied with the finished product, they have decided to continue working with us further.

goodfirms
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Anonymous
Executive

After the successful prototype launch, the client tested the product in a real load and attracted new partnerships, leading to a rapid expansion. Cortance was responsive, well-organized, responsible, and helpful throughout development. Overall, they were genuinely passionate and dedicated partners.

Clutch
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