Post by account_disabled on Dec 5, 2023 4:47:52 GMT
So here we have the first advantage important for a minimalist architecture after the data is in Snowflake practically everything from data operations to service configuration is available using SQL commands. Therefore it is very easy to implement this technology using specialists who know this programming language programmers who know the most popular database engines will find their way here without any major problems. Cloud data warehouse Using source data in an easy way is important but it is difficult to talk about a data warehouse at this point. To achieve the proper structure of the warehouse we must perform a number of data transformations necessary for example to integrate data from various systems.
Here it is worth mentioning another advantage of Snowflake i.e. a very efficient database engine thanks to which we can perform transformations within the service itself without involving additional technologies Databricks Spark etc.. This approach apart from Email Marketing List of course being consistent with minimalist architecture allows you to significantly save the time needed for operations of this type. Solution performance How such high efficiency is achieved is also a very interesting issue that goes beyond the scope of this article but it is worth mentioning that all processes aimed at ensuring it happen internally without the need to control them manually.
At a basic level sufficient for most projects there is no need to perform any additional optimization operations at all. These huge advantages that I pointed out above ultimately allow you to build an efficient solution based on just a few components to choose from: Snowflake cloud database Since most of the available technologies support Snowflake based on this architecture we only have: Select an ETLELT tool Azure Data FactorySSIS Talend Pentaho Informatica etc. to load data and here the ELT approach will be the most advisable so that the T part i.e.
Here it is worth mentioning another advantage of Snowflake i.e. a very efficient database engine thanks to which we can perform transformations within the service itself without involving additional technologies Databricks Spark etc.. This approach apart from Email Marketing List of course being consistent with minimalist architecture allows you to significantly save the time needed for operations of this type. Solution performance How such high efficiency is achieved is also a very interesting issue that goes beyond the scope of this article but it is worth mentioning that all processes aimed at ensuring it happen internally without the need to control them manually.
At a basic level sufficient for most projects there is no need to perform any additional optimization operations at all. These huge advantages that I pointed out above ultimately allow you to build an efficient solution based on just a few components to choose from: Snowflake cloud database Since most of the available technologies support Snowflake based on this architecture we only have: Select an ETLELT tool Azure Data FactorySSIS Talend Pentaho Informatica etc. to load data and here the ELT approach will be the most advisable so that the T part i.e.