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Data lineage for Postgresql

Data lineage for Postgresql

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What is PostgresQL

PostgresQL is an open-source, object-relational database management system (ORDBMS) developed by the PostgresQL Global Development Group. It is designed to be extensible, allowing users to create custom data types and functions. PostgresQL is ACID-compliant and transactional, making it ideal for applications requiring data integrity and reliability. It supports a wide range of programming languages, including SQL, Python, Java, C, and more. PostgresQL is highly scalable and can handle large amounts of data. It is used by many organizations, including NASA, the US Navy, and the European Space Agency.

Benefits of setting up data lineage

Data lineage is the process of tracking data from its origin to its destination. It is an important aspect of data governance and data quality management, as it can ensure that the data being used is authentic and reliable. Data lineage is tracked through the processes of data extraction, transformation, loading, and integration. It can also be used to answer questions, such as "Where does this data come from?", "What does this data mean?", or "What is the source of this data?" Ultimately, data lineage lets organizations understand how their data fits together, allowing them to better leverage their data resources.

Why should you have Data lineage for PostgresQL

Data lineage for PostgresQL enables enterprises to gain a comprehensive understanding of their data and its quality. This allows them to take data-driven decisions and ensure data privacy, security, and compliance. Additionally, data lineage helps enterprises ensure data accuracy and consistency while it is being used by different systems. This can help streamline performance, minimize costs, and save valuable time that would otherwise be spent debugging. Data lineage also helps the organization track the movement and usage of data, ensuring data is properly managed, and that malicious activities, such as data theft, can be tracked, preventing disruption.

How to set up

Data lineage is an important part of data management. To set up data lineage using PostgresQL and SECODA, the first step is to make sure all data sources are set up and connected with PostgresQL. Then, SECODA can be used to automatically track and trace data by running queries to read data from the data stores and link it to column-level info. Additionally, SECODA can also map data within the PostgresQL database to the source of the data, providing a full view of the data lineage.

Get started with Secoda

Secoda is a data discovery tool designed to help organizations unlock the power of their data. It provides an intuitive, user-friendly interface to quickly explore and analyze data from a variety of sources. Secoda provides powerful visualizations and analytics capabilities to help users gain insights from their data. It also integrates with popular data sources such as Amazon Redshift, Google BigQuery, and Snowflake, making it easy to connect to and query data. With Secoda, users can quickly discover patterns, trends, and relationships in their data, enabling them to make better decisions and gain a competitive edge.

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