It's Day 2 in our Snowflake mini-series. Since being founded in 2012, it's fair to say Snowflake has been pretty transformative to data teams' lives worldwide.
Here are some of the ways how Snowflake revolutionised Big Data:
1???Separation of Storage and Compute:
- Before Snowflake, businesses had to deal with monolithic architectures where storage and compute were tightly coupled, leading to inefficiencies and high costs
- Snowflake’s architecture decoupled storage from compute resources, allowing businesses to scale independently. This means you only pay for what you use, optimising costs and performance.
2???Data Sharing and Collaboration:
- Sharing data across organisations used to mean cumbersome data transfers and security risks.
- Snowflake’s secure data-sharing features allows for instant, controlled access to live data without the need to move or copy it.
- This has enabled real-time collaboration across organisations and created a dynamic ecosystem where partners, vendors, and customers can seamlessly interact.
3???True Multi-Cloud Capability:
- With Snowflake, you’re not tied to a single cloud provider. Businesses can deploy across AWS, Google Cloud, and Microsoft Azure, leveraging the strengths of each.
- This multi-cloud strategy ensures high availability, disaster recovery, and vendor independence, offering unparalleled flexibility and global reach.
- Previously, organisations were often locked into a single cloud provider, limiting flexibility and increasing risk.
If you want to find out how Orchestra can further revolutionise life for Snowflake users, check out for yourself down below!
? https://lnkd.in/eM6uqgCU
#BigData
#CloudComputing
#Snowflake
#Innovation
Experienced Deep Learning Engineer | Applied Scientist | PyTorch Specialist
3 周Congratulations Kevin Yi-Wei Lin and well deserved!