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How does Entity Framework work for large number of records?
This answer is misleading. YES, EF DOES PERFORM JOINS IN MEMORY IF it has a set of values that are provided as a part of query or an in memory list, basically for anything that is not from the database, EF will pull everything from the database, perform the operations in memory and returns the results.
What makes a good low code development framework?
Frameworks that put a heavy focus on data, making it easy for low-code developers to embed into applications — all using point-and-click integration tools — mean better, more connected applications delivered much faster than before. Generally, it takes more than a UI to build an application.
Which is an example of a smaller project?
There are two distinct cases of smaller projects: 1 Small-scale project in a large organization. Usually, they follow the predefined framework. 2 A small project in a small organization. In this case, the project management framework develops in time and usually… More
Is the Entity Framework a good ORM framework?
EF is not a bad ORM framework. It is a different one with its own characteristics. Compare Microsoft Entity Framework 6, against say NetTiers which is powered by Microsoft Enterprise Library 6. These are two entirely different beasts.
How to improve load efficiency in import modeling?
When the source is a database, you can achieve greater load efficiency in two ways. The calculation can be defined in the SQL statement (using the native query language of the provider), or it can be materialized as a column in the data source. However, in some instances, model calculated columns may be the better choice.
How does Power BI support for large datasets?
For further information, read the Power BI Premium support for large datasets article. Smaller model sizes reduce contention for capacity resources, in particular memory. It allows more models to be concurrently loaded for longer periods of time, resulting in lower eviction rates.
How much data can be compressed in import model?
Import models are loaded with data that is compressed and optimized and then stored to disk by the VertiPaq storage engine. When source data is loaded into memory, it is possible to see 10x compression, and so it is reasonable to expect that 10 GB of source data can compress to about 1 GB in size.