Gudu SQLFlow : a professional and easy-to-use data lineage tool
Gudu SQLFlow
With the development and popularization of big data technology, data governance and data quality have become more and more important for many organisations. Data lineage analysis has emerged and become increasingly popular in the industry and Gudu SQLFlow is a professional and easy-to-use data lineage tool. As one of the most popular data lineage tools, Gudu SQLFlow is very popular in the global IT industry, used by many leading metadata service providers, and supports more than 20 mainstream databases. This article mainly introduces the types and characteristics of Gudu SQLFlow users, hoping to provide help to friends who are new to Gudu SQLFlow.
Before going any further, let’s figure out what’s data lineage.
What is data lineage?
Data lineage is a concept in data governance, which is to find the connection between related data in the process of data traceability. It is a logical concept. Data lineage analysis is a word often mentioned in data governance. Data lineage is a means to ensure data fusion, and data fusion processing can be traced through data lineage analysis. In big data, data lineage refers to the link in which data is generated. In other words, it is how our data came from and what processes and stages it has gone through.
Why do you need to trace the data in the report to the source?
In the process of data processing, from the data source to the final data generation, every link may lead to data quality problems. For example, the data quality of our data source itself is not high. If the data quality is not detected and processed in the subsequent processing links, the data information will eventually flow to our target table, and its data quality is not high, either. It is also possible that in a certain link of data processing, we have performed some inappropriate processing of the data, resulting in poor data quality in subsequent links. Therefore, for the data lineage, we must ensure that we pay attention to the detection and processing of data quality in each link, so that our subsequent data will have high data quality.
Due to the large amount of data in the enterprise, the data traceability process in reality is often complicated and difficult. Gudu SQLFlow was born to solve the above problems. It can well support the needs of such different database platforms, and can greatly improve your efficiency and accuracy in this type of work.
Conclusion
Thank you for reading our article and we hope you’ve enjoyed it. If you want to know more about the use and technical information of Gudu SQLFlow, please log in to Gudu SQLFlow official website, and you will get more support and help.