Post by account_disabled on Dec 5, 2023 4:48:03 GMT
Data transformation can be implemented inside the engine Snowflakes. Use the SQL language for data operations here in addition to the engine's efficiency the fact that SQL is still one of the most popular programming languages is also important which has a positive impact on the speed of assembling a team for the project or even the possibility of engaging database developers without experience in cloud environment Choose a data visualization tool you can connect to Snowflake from the main three: Power BI Qlik Tableau as well as many other Business Intelligence tools. Complete Business Intelligence project with Snowflake Ultimately in a minimal version based on only technologies we can implement a complete Business Intelligence project with a Data Lake a data warehouse and reports available to a wide range of recipients.
It is also worth emphasizing that by using for example the Direct Query mode in Microsoft Power BI we can easily provide reporting at any level of aggregation from general data such as aggregated results to detailed data including the ability to access individual records Email Marketing List even when when we operate on terabytes of data. Advantages of Snowflake At the last knowledge exchange in Inetum when I presented Snowflake's capabilities my colleague Leszek I greet him from here called Snowflake a selfservice data warehouse and I must admit that in the context of high efficiency which as I mentioned above is obtained in automatic.
I really liked this term. Working with this technology is quite simply pleasant and allows you to build solutions very quickly with a moderate amount of work. In the area of increased speed of building a complete solution it is worth mentioning several other advantages of Snowflake: Possibility of cloning data at an express pace probably never before has setting up a development environment based on production data been so simple and quick there is no need to run the ETLELT process restore backups etc.
It is also worth emphasizing that by using for example the Direct Query mode in Microsoft Power BI we can easily provide reporting at any level of aggregation from general data such as aggregated results to detailed data including the ability to access individual records Email Marketing List even when when we operate on terabytes of data. Advantages of Snowflake At the last knowledge exchange in Inetum when I presented Snowflake's capabilities my colleague Leszek I greet him from here called Snowflake a selfservice data warehouse and I must admit that in the context of high efficiency which as I mentioned above is obtained in automatic.
I really liked this term. Working with this technology is quite simply pleasant and allows you to build solutions very quickly with a moderate amount of work. In the area of increased speed of building a complete solution it is worth mentioning several other advantages of Snowflake: Possibility of cloning data at an express pace probably never before has setting up a development environment based on production data been so simple and quick there is no need to run the ETLELT process restore backups etc.