Power bi data compression

How do I compress a Power BI file?
These techniques include:
1. Remove unnecessary columns
2. Remove unnecessary rows
3. Group by and summarize
4. Optimize column data types
5. Preference for custom columns
6. Disable Power Query query load
7. Disable auto date/time
8. Switch to Mixed mode
How do I compress a Power BI file?
How to Unstack and Flatten Data in Power BI.
There are various techniques you can use to unstack and flatten your data in Power BI.
One such technique involves using the 'Unpivot Columns' feature in Power Query Editor.
To do this, select the relevant columns, right-click, and choose 'Unpivot Columns..
How do you flatten data in Power BI?
Compression is done by a program that uses functions or an algorithm to effectively discover how to reduce the size of the data.
For example, an algorithm might represent a string of bits with a smaller string of bits by using a 'reference dictionary' for conversion between them..
How do you handle large datasets in Power BI?
Enable large datasets
1. Create a model in Power BI Desktop
2. Publish the model as a dataset to the service
3. In the service \x26gt; dataset \x26gt; Settings, expand Large dataset storage format, set the slider to On, and then select Apply
4. Invoke a refresh to load historical data based on the incremental refresh policy
How is the data compression achieved?
Power BI uses Azure Active Directory (AAD) to store and manage user identities, and manages the storage of data and metadata using Azure BLOB and Azure SQL Database, respectively.
If this post helps, then please consider Accept it as the solution..
What is data compression in Power BI?
Data Compression
Compression techniques are used to reduce the data size by compressing the data stored in columns.
In Power BI, you can use columnar compression, which stores data in a compact and efficient format that reduces the amount of disk space required to store the data._{Feb 4, 2023}.
What is the compression ratio of Power BI data?
Although Power BI's data compression engine is remarkably efficient by default, as it often results in compression ratios of greater than 90% without altering data structures, it still leaves room for improvement by the end-user..
General rules for reducing data model size
1. Keep only those columns your users need in the report
2. Try to optimize column cardinality whenever possible
3. Same as for columns, keep only those rows you need: for example, maybe you don't need to import data from the last 10 years, but only 5
How to Unstack and Flatten Data in Power BI.
There are various techniques you can use to unstack and flatten your data in Power BI.
One such technique involves using the 'Unpivot Columns' feature in Power Query Editor.
To do this, select the relevant columns, right-click, and choose 'Unpivot Columns.

Power BI data model is effectively compressed using VertiPaq storage engine with compress ratio about 10x so if you import 10 GB of data, output . pbix file is about 1 GB. VertiPaq is a columnar storage engine used by Microsoft Power BI and Microsoft Power Pivot.

Can Power BI Desktop Data modelers develop import models?

This article targets Power BI Desktop data modelers developing Import models.
It describes different techniques to help reduce the data loaded into Import models.
Import models are loaded with data that is compressed and optimized and then stored to disk by the VertiPaq storage engine.

Overview

This article targets Power BI Desktop data modelers developing Import models

Remove unnecessary columns

Model table columns serve two main purposes: •Reporting, to achieve report designs that appropriate filter, group

Remove unnecessary rows

Model tables should be loaded with as few rows as possible

Group by and summarize

Perhaps the most effective technique to reduce a model size is to load pre-summarized data

Optimize column data types

The VertiPaq storage engine uses separate data structures for each column. By design

Preference for custom columns

The VertiPaq storage engine stores model calculated columns (defined in DAX) just like regular Power Query-sourced columns. However

Disable Power Query query load

Power Query queries that are intended support data integration with other queries should not be loaded to the model. To avoid loading the query to the model

Disable auto date/time

Power BI Desktop includes an option called Auto date/time. When enabled

Switch to Mixed mode

In Power BI Desktop, a Mixed mode design produces a Composite model. Essentially, it allows you to determine storage mode for each table. Therefore

Next steps

For more information about Power BI Import model design

How does Power BI reduce data size?

Power BI provides several data reduction techniques that you can use to optimize your data analysis and visualization

One of the most basic data reduction techniques is filtering

You can use filters to exclude data that is not relevant to your analysis, reducing the data size and improving performance

VertiPaq Compression And Storage In Power BI

Column Storage Database For VertiPaq Compression Data is stored in columns so that it can easily be retrieved without going through the whole table. ...
VertiPaq Compression In Power BI The goal of compressing data is to reduce the amount of memory needed to make queries run. ...
Conclusion VertiPaq in Power BI helps run your DAX codes in the best performance possible. ...

Power bi data compression

How do I compress a Power BI file?

These techniques include:

How do I compress a Power BI file?

How do you flatten data in Power BI?

How do you handle large datasets in Power BI?

Enable large datasets

How is the data compression achieved?

What is data compression in Power BI?

What is the compression ratio of Power BI data?

General rules for reducing data model size