In this blog, I’ll walk you through the need for Oracle and Snowflake and then explore two methods for migration: manual migration and using automated tools. By the end, you’ll have a clear understanding of how to seamlessly transition from Oracle to Snowflake, no matter your expertise l...
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Move away from basic datasets recommended by Snowflake and start tackling larger datasets, which will force you to apply your knowledge in real-world scenarios. Work with complex data structures, optimize query performance, and implement security best practices. Consider downloading public datasets ...
Thank you for reading our previous post #10 Query Result Sets available to users via history. As promised in my original post, here is a deeper dive into another one of the top 10 cool features from Snowflake: #9 Ability to connect with JDBC This seems like a no brainer but is very...
, the storage engine supports writing data with apache iceberg metadata and provides access to data through snowflake’s iceberg catalog. at the same time, snowflake’s query engine also supports reading apache iceberg data in the data lake for data managed by an external catalog. in these ...
How to optimize query performance, with relative questions weight in the exam up to 10% How to perform automation of tasks, with relative questions weight in the exam up to 15% How to plan and implement a High Availability and Disaster Recovery (HADR) environment, with relative q...
Enable Parallel Query Execution: SET max_parallel_workers_per_gather = 4; Optimize Effective Cache Size: SET effective_cache_size = ‘4GB’; 4. Using Materialized Views Materialized views store query results for faster retrieval. Create a Materialized View: ...
Where possible, push calculated columns and measures to the source. The closer they are to the source, the faster they are likely to perform.7)Use Star schema instead of Snowflake schema when possible Snowflake schema has a complex query structure, making it difficult to implement ...
In 2017, Capital One beganmoving our entire data ecosystem to the cloudand needed a partner to help us manage and scale our data in the cloud.We chose Snowflakeas our data cloud platform, a decision that allowed us to scale our data processes quickly and gave our data engineers the freedo...
Moving to a cloud-based solution, such as LambdaTest, not only enhances the efficiency of automated testing but also introduces scalability and flexibility, encouraging software testers to optimize their strategies and explore innovative approaches to creating effective test cases. LambdaTest is an AI-...