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apps and AI products across clouds Data EngineeringPowerful streaming and batch data pipeline building in SQL or Python Data LakeFlexible architecture patterns with interoperable storage Data WarehouseFaster data analytics at an optimized cost UnistoreTransactional and analytical data in one place Featured ...
We capture these abilities into a single metric we call enterprise intelligence by taking an average of Coding (HumanEval+ and MBPP+), SQL Generation (Spider), and Instruction following (IFEval). As seen here, Arctic is on par or better than both LLAMA 3 8B and LLAMA 2 70B on ...
I think the -- generally, the kind of use cases that Cortex AI enables are pretty distinct from what used to be possible with SQL. I'll let CK chime in, in a second. But let's face it, if you wanted to go through all of the notes written by a sales team on use cases and an...
apps and AI products across clouds Data EngineeringPowerful streaming and batch data pipeline building in SQL or Python Data LakeFlexible architecture patterns with interoperable storage Data WarehouseFaster data analytics at an optimized cost UnistoreTransactional and analytical data in one place Featured ...
In the below steps, you will learn how to set up the DBeaver Snowflake Connection for running SQL queries. Step 1: To establish the DBeaver Snowflake Connection, open theDBeaver Editor. In a DBeaver workspace, click on theDatabase menuand select the “New database connection option”. ...
1: Allows one SQL statement or a specified number of statement in a query string (default). You must include MULTI_STATEMENT_COUNT as a statement parameter to specify the number of statements included when the query string contains more than one statement. If the number of statements sent...
It is interesting to go over the recipe and compare the functionality of a Snowflake instance with, for example, an Azure Synapse SQL pool instance. I guarantee you'll learn something new even if you were in data engineering field for a while.My only disappointment was that all recipes ...
如果使用“Slow Running Queries Advanced”仪表板: Create another data source by connecting to Snowflake and choosing the ACCOUNT_USAGE schema.然后,将一个新的自定义 SQL 表拖到画布中。输入以下自定义 SQL 文本(也可在数据源的“自定义 SQL 文本”字段中找到)。 SELECT QUERY_ID, STEP_ID, OPERATOR_ID...
apps and AI products across clouds Data EngineeringPowerful streaming and batch data pipeline building in SQL or Python Data LakeFlexible architecture patterns with interoperable storage Data WarehouseFaster data analytics at an optimized cost UnistoreTransactional and analytical data in one place Featured ...