SQL Lineage란 무엇인가? | SQL Lineage 101

One of the major achievements of data science is the emergence of relational database model. The composition rules for relational databases make it easier to design, build, and manage databases and to build applications and reports around them.

However, relational databases still lack standardized tools for creating, manipulating, and extracting data in relational databases. As a result, Structured Query Language (SQL) was developed, an international standard computing Language that greatly simplifies all aspects of database management, from defining tables and columns to implementing the extract-transform-load (ETL) process to performing complex table joins that combine data from different tables into useful information. Because SQL strictly follows relational database rules, it helps maintain relational database integrity.

Because of its status as an international standard and its widespread use in many types of database systems, from Oracle to MySQL to Microsoft SQL Server, SQL also provides another useful use: enabling SQL 계보 tools.

So, what is SQL lineage?

In short, it’s data lineage that derives from SQL. In other words, it is a data lineage which focuses on the SQL code which is used to build, maintain, and manage data sources, database tables, and reports that utilize the data in those tables. Under many circumstances, everything you need to know about data’s journey from source to database system (or systems) to target reports can be collected from SQL code. Of course, this can be done manually by opening and inspecting all stored procedures and other artifacts that contain SQL. However, this method requires a deep understanding of SQL, an obsession with details, and a lot of free time. 

Of course, we can use a better approach, which is to use automated 데이터 계보 도구 to automatically find and parse SQL and build data lineage relationships. This method requires no human intervention. Also, it is important to point out that since SQL has a standard syntax and is used in many different database systems, the SQL lineage tool is system independent.While not all databases are relational, non-relational databases are becoming popular in some cases. However, relational databases and SQL remain the foundation of the vast majority of enterprise database systems, and as long as they are, SQL lineage will be a key component of any automated data lineage tool.

결론

저희 기사를 읽어주셔서 감사합니다. 이 기사가 여러분이 더 잘 이해하는 데 도움이 되기를 바랍니다. 뭐야 SQL 계보. 더 알고 싶다면 SQL lineage, we would like to advise you to visit Gudu SQLFlow 더 많은 정보를 원하시면! 다시 한번 감사합니다! (Published by Ryan on Apr 19, 2022)

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One Comment

  1. James 2022-04-19 at 18:48 - Reply

    SQL is not confined to the traditional relational database systems (RDBMS) and data warehousing solutions. SQL-on-Hadoop engines run on top of distributed file systems to help process big data and build data lakes and data warehouses.

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