How do you configure incremental data refresh policies for optimal data loads in large datasets

0 votes
How do you configure incremental data refresh policies for optimal data loads in large datasets?

I'm working with a large dataset in Power BI and want to set up incremental refresh to improve data loading times. Configuring the refresh policy seems crucial for balancing data recency with performance, especially given the dataset size. What are best practices for setting up incremental data refresh policies to ensure optimal data loading in Power BI?
Nov 15 in Power BI by Evanjalin
• 6,910 points
46 views

1 answer to this question.

0 votes

When implementing data refresh strategies in Power BI for bigger models, it is always very important to improve on them in such a way that there's a good compromise between the age of the data and the performance of the system. Here are some ways in which you can configure incremental refresh more efficiently:

Partitioning Strategy: Determine parts of your data that are volatile and those that are fixed over time. For example, in the case of sales data, recent daily sales information may require fast updates, while older or historical sales data may not. Create partitions relevant to the time frame of the data to be refreshed, such that if the last few months or weeks of data are to be refreshed, then only that data is refreshed.

Use of Range Start And Range End Parameters: When defining the correctness of incremental refresh, besides the mentioned conditions, you will have to create two parameters – "RangeStart" and "RangeEnd." These two parameters represent the dates that have to be refreshed. These parameters will ensure that the data that is queried and refreshed is only that which falls within the specified range, hence eliminating unnecessary loads.

Polish the Data Queries: You can manipulate the Power Query itself so that the data gets loaded in Power BI only after applying the necessary filters. Ensure that the queries are as simple as possible and only reach the records needed for the incremental refresh period. This may require ignoring some loaded data or any other data that is not necessary, especially with large databases.

Evaluate and Track Efficiency: First, monitor the refresh process to determine whether it is performing within the input parameters set. Then, evaluate the length of time per refresh period and alter the settings accordingly. For instance, shrinking the data range or leaving some tables out of refresh may help shorten the refresh duration.

Define and Implement Retention Policies: Also, consider that, on the contrary, especially when within a given period, the target audience is given too many updates, and chances are performance might be affected. Retention policies should be employed to indicate the allowable period for keeping the respective dataset containing the historical information and, once surpassed, disposing of or storing the irrelevant data. This helps in the context that only the relevant data is kept in the model with Power BI on the users' behalf.

Concentrate on Power BI Premium Advantages: However, if you are on Power BI Premium, use the increment refresh and archive mechanism more effectively because of the additional resources and increased database size. Premium features, increased storage, and reduced refresh times can lessen the turnaround time for processing large tables.

Doing so will enhance the efficiency of data refresh without altering the integrity of the data published in your reports. Nonetheless, it should be noted that configuring incremental refresh policies greatly impacts the system's efficiency regarding data processing and currency.

answered Nov 15 by pooja
• 6,530 points

Related Questions In Power BI

0 votes
1 answer

How can you efficiently manage Power BI’s incremental refresh for very large tables, such as sales or transactional data?

Sustainable incremental refresh management entails the following ...READ MORE

answered Nov 26 in Power BI by Gagana
• 5,810 points
38 views
0 votes
1 answer

How do you schedule Data Refresh in Power BI?

Hi, Following could be the reasons why this ...READ MORE

answered May 21, 2019 in Power BI by Avantika
• 1,520 points
932 views
0 votes
0 answers

How do you troubleshoot performance issues with complex DAX measures in large datasets?

How do you troubleshoot performance issues with ...READ MORE

Oct 28 in Power BI by Evanjalin
• 6,910 points
74 views
0 votes
1 answer

How do you troubleshoot performance issues with complex DAX measures in large datasets?

When faced with a performance problem caused ...READ MORE

answered Oct 30 in Power BI by pooja
• 6,530 points
94 views
0 votes
1 answer

Displaying Table Schema using Power BI with Azure IoT Hub

Answering your first question, Event Hubs are ...READ MORE

answered Aug 1, 2018 in IoT (Internet of Things) by nirvana
• 3,130 points
1,339 views
+1 vote
1 answer

Unable to install connector for Power Bi and PostgreSQL

I think the problem is not at ...READ MORE

answered Aug 22, 2018 in Power BI by nirvana
• 3,130 points
2,738 views
+2 votes
2 answers

Migrate power bi collection to power bi embedded

I agree with Kalgi, this method is ...READ MORE

answered Oct 11, 2018 in Power BI by Hannah
• 18,520 points
1,509 views
+1 vote
1 answer

Connect power bi desktop to dataset and create custom reports

Yes using Power BI REST API to ...READ MORE

answered Sep 18, 2018 in Power BI by Kalgi
• 52,350 points
1,658 views
0 votes
1 answer
0 votes
1 answer

How do you manage and optimize Power Query M code for transforming large datasets?

The following strategies can be implemented in ...READ MORE

answered Oct 29 in Power BI by pooja
• 6,530 points
62 views
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP