#Gudu SQLFlow

[doyouevenblog]

Gudu SQLFlow, One of the Best Data Lineage Tools on the Market of 2022

In large data warehouses and data lakes, complete data lineage can be used for data traceability, impact analysis of table and field changes, proof of data compliance, and data quality checks. 

So what exactly is data lineage?

It is the pedigree of the data. In short, it refers to a record of how the data arrived at a particular location, as well as the intermediate steps and transformations which happen as the data moves through the business system. In essence, the data lineage gives us a detailed map of the data journey, including all the steps along the way.

How does Gudu SQLFlow work?

Gudu SQLFlow gives complete data lineage by analyzing SQL scripts. It can handle SQL statements of more than 20 kinds of databases, including complex stored procedures and dynamic SQL statements. With the powerful SQL processing capability of the self-developed general-purpose SQL parser, Gudu SQLFlow is your first choice for analyzing SQL data lineage.

https://www.bilibili.com/video/BV1E64y1q779

This video introduces how to use Gudu SQLFlow to quickly discover the data lineage of each table and field in the create view SQL statement, and display it in a visual way.

Gudu SQLFlow Features:

a. provides a visual representation of the overall flow of data;

b. automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure;

c. depicts all the data movement graphically;

d. supports more than 20 major databases and still growing;

e. very affordable price;

f. provides automation in building the lineage no matter where the SQL resides: databases, file system, Github, Bitbucket and etc.

g. shows data flows in a way that is user-friendly, clear, and understandable and gets full visibility into your BI environment;

h. discovers root-cause of reporting errors, and creates invaluable business confidence;

i. simplifies regulatory compliance. The visualization of data lineage provides greater transparency and audit ability;

j. enables impact analysis at a granular level, drill down into table, column, and query-level lineage;

k. even better, Gudu SQLFlow provides a 30 days free premium account.

Composition of Gudu SQLFlow

a. Backend consists of a series of Java programs, responsible for SQL parsing, data lineage analysis, layout of visual elements, identity authentication, etc.

b. Frontend is composed of a series of javascript and html codes, which are responsible for the submission of SQL and the visual display of data lineage.

c. The Grabit tool, a Java program, is responsible for collecting SQL scripts from databases, version control systems, and file systems, and submitting them to the backend for data lineage analysis.

d. Restful API, a complete set of APIs, allows users to interact with the background through programming languages ​​such as Java, C#, Python, and PHP to complete data lineage analysis.

Conclusion

Thank you for reading my article and hope it can let you to have a better understanding of Gudu SQLFlow. If you want to know more about Gudu SQLFlow, I would like to advise you to visit their website for more information. 

As a data lineage analysis tool, Gudu SQLFlow can not only analyze SQL script files, obtain data lineage, and perform visual display, but also allow users to provide data lineage in CSV format and perform visual display.

[componentsource]

Gudu SQLFlow released