Blogs
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How Retailers Can Optimize These 5 High-Demand Cloud Data Workloads
Modern retailers require use of large, complex datasets that increase cloud costs & hurt performance. Here’s how to optimize these high-demand workloads.
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Designing a Reinforcement Learning Pipeline: Crafting the Reward Function and Simulator
Learn how Keebo designs RL components to enable autonomous optimizations that reduce cost without hindering performance.
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See How Keebo’s Autonomous Warehouse Suspension Algorithm Maximizes Snowflake Savings
Snowflake warehouse auto-suspend is effective at reducing credit consumption and costs. With Keebo’s real-time controller, it works even better.
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Snowflake, AI, & Data Infrastructure: 4 Predictions for 2025
Discover key Snowflake trends for 2025, including AI breakthroughs and cost-saving strategies to optimize your data infrastructure and boost efficiency.
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Automated Data Cloud Optimization for Fintech: It’s Less Risky than You Think
Automating your Fintech data cloud optimization doesn’t have to expose you to undue risk. Here are three strategies to mitigate that risk.
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How AI in Healthcare Can Address the Explosion of EMR Data
As EMRs become increasingly interoperable, data explosion can seriously increase warehousing costs. AI in healthcare can present a cost-saving solution.
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Building Your Own Snowflake Optimization Solution Will Cost You More Than You Think
Building an in-house Snowflake optimization solution isn’t always cost effective. Here are some hidden costs to consider and how to avoid them.
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How Keebo Makes Cloud Data Warehouse Optimization Easy & Efficient
Modern data warehouses are large and complex. Here’s how Keebo helps them run more efficiently and at a lower cost.
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Fundamentals of Snowflake Query Design & Optimization
Snowflake query design can help you burn through fewer credits, reducing costs without sacrificing performance. Read this article to find out how.