Stairway to Snowflake Level 6 - Creating and Cloning Snowflake Databases
In this next level of the Stairway to Snowflake, learn about creating and dropping databases, with some options for cloning from different sources.
In this next level of the Stairway to Snowflake, learn about creating and dropping databases, with some options for cloning from different sources.
In this next level of the Stairway to Snowflake we examine the wide variety of table types that exist in the platform.
Today Steve talks about the concept of what a failure is when deploying changes.
Real-time data ingestion has become essential for modern analytics and operational intelligence. Organizations across industries need to process data streams from IoT sensors, financial transactions, and application events with minimal latency. Snowflake offers two robust approaches to meet these real-time data needs: Snowpipe for near-real-time file-based streaming and Direct Streaming via Snowpark API for true real-time data integration.
Tony describes in more detail the SIMPLE recovery model, and the way it works, its advantages and disadvantages.
Validate all of your settings and be prepared to make some changes during your migration process. Most of the incompatible options make sense when you think about the purpose of SQL MI – it is controlled by Microsoft. Hardware settings, local file access, high-availability settings, and auditing are configured differently or completely disabled.
Learn a few ways to improve performance in your Azure SQL Databases through better indexing, partitioning, and columnstore index consideration.
Steve talks about the process of decision making with idea for shortening the time taken.
The new JSON field type and new functions in Azure SQL brings a new world of possibilities for JSON manipulation in SQL Databases. These features are slated to be a part of SQL Server 2025 as well. Let’s analyze some practical uses of these features
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In SQL Server 2025, what is returned by this code:
SELECT EDIT_DISTANCE('tim', 'tom')
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