What is the most cost-effective solution for data engineering?
The answer doesn't lie in a specific vendor or technology, but in understanding the use cases and setting up optimal infrastructure. This involves leveraging best practices in software and appropriately sizing hardware. In essence, there's a strong correlation between a team's skill set for a particular stack and cost-tracking initiatives.
Often, open source solutions can be more expensive than commercial offerings. Consider a scenario where a team of 10 data engineers struggles with infrastructure configuration and daily on-call duties for an open-source solution to keep pipelines operational, versus just 2 data engineers efficiently managing the same with a commercial offering.
For fun, I tried to find evidence that Snowflake is cheaper than Databricks, but I couldn't. This seems like a great niche for Snowflake's SEO optimization.
I suspect Snowflake should cost roughly the same for the same compute instance, but with Data Warehouse as a Service, there's often less focus on right optimization and query patterns.
Have you seen any evidence that Snowflake is cheaper than Databricks? How would you choose the right solution?
https://www.linkedin.com/posts/dmitryanoshin_dataengineering-dataanalytics-surfalytics-activity-7143663492347117568-JrB1
The answer doesn't lie in a specific vendor or technology, but in understanding the use cases and setting up optimal infrastructure. This involves leveraging best practices in software and appropriately sizing hardware. In essence, there's a strong correlation between a team's skill set for a particular stack and cost-tracking initiatives.
Often, open source solutions can be more expensive than commercial offerings. Consider a scenario where a team of 10 data engineers struggles with infrastructure configuration and daily on-call duties for an open-source solution to keep pipelines operational, versus just 2 data engineers efficiently managing the same with a commercial offering.
For fun, I tried to find evidence that Snowflake is cheaper than Databricks, but I couldn't. This seems like a great niche for Snowflake's SEO optimization.
I suspect Snowflake should cost roughly the same for the same compute instance, but with Data Warehouse as a Service, there's often less focus on right optimization and query patterns.
Have you seen any evidence that Snowflake is cheaper than Databricks? How would you choose the right solution?
https://www.linkedin.com/posts/dmitryanoshin_dataengineering-dataanalytics-surfalytics-activity-7143663492347117568-JrB1
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🏄♂️ Dmitry Anoshin on LinkedIn: #dataengineering #dataanalytics #surfalytics #snowflake #databricks
What is the most cost-effective solution for data engineering?
The answer doesn't lie in a specific vendor or technology, but in understanding the use cases…
The answer doesn't lie in a specific vendor or technology, but in understanding the use cases…
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📅 Dates: Tue,Aug 20 - Sun,Aug 25, 2024
📍 Location: The picturesque Tofino, a prime surfing destination
What we offer:
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🏕️ Breathtaking scenery and unforgettable experiences
🤝 Meet and connect with fellow data enthusiasts. Discuss the latest trends in the data industry, sharp your analytics and engineering skills, and prepare for next season of tech interviews.
❗ Limited spots available
🔥 Book your spot now and catch the wave of a lifetime! #SurfTofino #surfalytics
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