Data quality for Postgres

What is Postgres

Postgres (also known as PostgresQL) is an open-source, object-relational database management system (ORDBMS). It is designed to handle a range of workloads, from single machines to data warehouses or Web services with many concurrent users. Postgres is highly extensible, allowing users to define their own data types, functions, and operators. It also supports a wide variety of programming languages, including SQL, Python, Java, and C/C++. Postgres is known for its robustness, reliability, and data integrity. It is used by many organizations, including government agencies, educational institutions, and large corporations.

Benefits of setting up Data Quality

Data Quality is a critical component of any database management system, but it is especially important for Postgres. Data Quality is vital for any data driven enterprise and Postgres provides many tools for managing and monitoring data quality. Having access to robust tools for data quality ensures that the data within the Postgres database is trustworthy, relevant, and meaningful. Data Quality is important for Postgres because it enables organizations to build their data platform with confidence. Quality data means a higher level of reporting accuracy and precision, which can provide organizations with insights to help make more informed decisions. Data Quality enables organizations to assess the accuracy, completeness, and integrity of their data and make changes as needed. Additionally, it allows them to ensure the protection of confidential information within their systems. Data Quality also allows organizations to better manage their data and keep track of its evolution over time. This includes understanding when and why data changes occur, and subsequent applications that rely on that data. Data Quality also helps organizations identify potential data flaws and fix them effectively, which minimizes operational risk. Postgres provides excellent data quality support and allows organizations to ensure the effectiveness of the underlying data platform. This helps organizations trust the data and use it to fuel their operations and maximize the ROI of their data strategies.

Why should you have Data Quality for Postgres

Data quality is successfully achieved to the satisfaction of all stakeholders in a system when data governance practices, automated data profiling and safeguards are in place. To set up this kind of Data Quality using Postgres and Secoda, start with running automated data profiling checks within Postgres to detect errors and data anomalies. Leverage Secoda’s automated data discovery to analyse discrepancies, providing generated reports with data issue drilldowns and insightful recommendations. Set up data rules and alarms to then identify errors in the data and eliminate them quickly, while also assessing data completeness.

How to set up

Secoda is a data discovery tool designed to help organizations quickly and easily find the data they need. It provides a unified search interface to quickly search across multiple data sources, including databases, data lakes, and cloud storage. Secoda's advanced search capabilities allow users to quickly filter, aggregate, and visualize data, enabling them to make informed decisions quickly. Additionally, Secoda offers powerful data governance and security features, allowing organizations to ensure that their data is secure and compliant.

Get started with Secoda

Secoda is a data discovery tool designed to help organizations quickly and easily find the data they need. It provides a unified search interface to quickly search across multiple data sources, including databases, data lakes, and cloud storage. Secoda's advanced search capabilities allow users to quickly filter, aggregate, and visualize data, enabling them to make informed decisions quickly. Additionally, Secoda offers powerful data governance and security features, allowing organizations to ensure that their data is secure and compliant.

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