What is Custom Transformation?

Custom transformation is a process by which you can modify or transform data in a specific way to meet the needs of your analysis or application. In blockchain data, custom transformations involve extracting specific data points or features from the blockchain, cleaning and normalizing the data, integrating it with other data sources, or automating certain processes or tasks.

A custom transformation framework is required to make queries run faster. The generic framework enables faster chart/dashboard loading, especially for Dapps with a huge amount of data. When the Dapp data is highly dense & populated, and users want to get specific data faster, the framework helps get dedicated data faster.

This is a unique feature, and DappLooker is the only platform that provides it.

In this documentation, we will explore the concept of custom transformations and how they can be used to enhance the performance of charts and dashboards. We will discuss the benefits of custom transformations and provide examples of implementing them in practice.

Benefits of custom transformation

1. Improved data quality: Custom transformations can help clean and normalize the data, making it more consistent and reliable. This can be especially useful if you work with data from multiple sources or blockchains.
2. Greater insights: Custom transformations can allow you to extract specific data points or features from the blockchain relevant to your analysis or application. This can help you identify trends, patterns, and relationships in the data that might not be immediately apparent.
3. Enhanced integration: Custom transformations can enable you to integrate blockchain data with other data sources, such as external APIs or databases. This can help you build more comprehensive and nuanced analyses or applications incorporating multiple data sources.
4. Increased efficiency: Custom transformations can help you automate certain processes or tasks that would be time-consuming or error-prone. For example, you could use custom transformations to regularly extract data from the blockchain and store it in a database for future analysis.
5. Improved visualization: Custom transformations can enable you to build custom visualizations or dashboards to understand better and analyze the data. This can help you to communicate your findings more effectively and make more informed decisions based on the data.
6. Faster processing: Custom transformation Enables faster and more optimized queries. It also enables charts and dashboards to reload faster.

Still, trying to understand? Don't worry. Here is an example👇

E.g., This is a snapshot of SQL query of Cohort analysis of user transaction. The query is complex and long. Because it is lengthy, it takes a lot of time to load