The data owner has the responsibility to store the data into the appropriate location and to grant access to the data. There is also some parameter which needs to define at the time of data creation. From the data lineage graph, we can track this and find out who is using this data. One of them is who is using the data and where? When we have the visuals of the data lineage it is easy for us to find out the answers to these questions. While analyzing the data, there are lots of question which comes into Data Analyst’s mind. The 5 W’s of Data Lineage are described below: Who is using the Data? Click to explore about, Big Data Governance Tools What are the 5 W’s of Data Lineage? In the case when we have some failed jobs, data lineage can help us to find the target tables and fields affected which are being used in the reports.īig Data Governance is the process and management of data availability, usability, integrity, and security of data used in an enterprise. When we need to troubleshoot for any of the wrong reports, lineage can help us to identify which process and jobs are involved in creating that particular report. Data Lineage can help the business user to check whether the data is accurate or not. Example: there is some data source that includes data fields named sales and gender if the user needs to find the reports of the bases of these data fields. Data lineage provides transparency to the user who is responsible for that particular data asset.ĭata lineage helps a business user to find the reports based on any particular data fields or column. Data lineage helps the person to identify the least and most usable data assets in an ETL job.
To play the role of a data steward, the person needs to know everything about the data which is being used in an organization. While dealing with complex reports, it helps in the identification of the data source which should be used in that report. It also enables us to check for any changes in some of the data fields such as column deletion, renamed or added. Data lineage can help an ETL developer to trace any bug/error within the ETL job. ETL job is a function where we need to extract data from any defined data source and put it into another location after applying some data transformation on the collected data. The importance of Data Lineage is listed below: For an ETL DeveloperĮTL stands for Extract, Transform, and Load. Click to explore about, Data Catalog for Snowflake Why do we need Data Lineage? We will discuss these questions in a later section.Īn organized record of data assets that uses metadata to help organizations manage their data. What information does the data contain?.Data Lineage provides us the answers for any specific dataset such as: It allows the user to look for the data in both directions (forward and backward) between origin to destination of the data. It also enables companies to trace the errors, implementing changes in the process, and implementing system migration to save time and resources for efficiency.Īnother process to data lineage combines data discovery and the use of a Data Catalog that captures data asset metadata with a data mapping framework. Data lineage gives a better understanding to the user of what happened to the data throughout the life cycle also.
This life cycle includes all the transformation done on the dataset from its origin to destination. Data lineage is the process of understanding, documenting, and visualizing the data from its origin to its consumption.
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