Video : ER/Studio Data Architect

Migrate Legacy Databases to PostgreSQL

PostgreSQL is an open-source object-relational database management system. It is used to store and manage structured and unstructured data. We know PostgreSQL for its ability to handle complex queries and its support for advanced features such as concurrency control, multi-version concurrency control, and full-text search. We use it widely in web applications, enterprise software, and as a back-end database for mobile applications. PostgreSQL is available on all major operating systems, including Windows, macOS, and Linux. It follows the PostgreSQL License, which is a permissive open-source license that allows for free use, distribution, and modification of the software.

PostgreSQL offers many benefits, such as its robust feature set, object-oriented database features, SQL standards conformance, ACID compliance, and open-source development and community support. As an open-source product, PostgreSQL is freely available and does not require any license fees, which can help reduce costs. Individuals and organizations improved and innovated PostgreSQL for over 25 years with the support of its community.

Data modeling is important for PostgreSQL because it helps to achieve data consistency, maintain data integrity, and organize data in an efficient and effective manner.
Data modeling is important for PostgreSQL because it helps to describe real-world entities, such as customers, services, and products, as well as the relationships between these entities. Data models play a critical role in achieving data consistency across interacting systems, which is essential for maintaining the integrity of the data.

Data models provide an abstraction for the relations in the database, aiding developers in modeling business requirements and translating business requirements into relations. We use data models also for the exchange of information between the developers and the stakeholders.

By creating a clear and accurate data model, developers can ensure that we organize the data in an efficient and effective manner, reducing data redundancy and improving data integrity.

PostgreSQL offers benefits such as write-ahead logging, which provides point-in-time recovery, fail-over, and streaming replication, and helps ensure the database remains consistent even if the software crashes. This feature also helps copy data between systems for scaling and backing up data.

You’ve implemented your new PostgreSQL database platform, now how do you migrate existing legacy databases to it with minimal risk and cost? In this video, see the new core product support for PostgreSQL in ER/Studio.

Topics : Data Modeling,Enterprise Architecture,

Products : ER/Studio Data Architect,ER/Studio Enterprise Team Edition,

ER/Studio Enterprise Team Edition is the leading business-driven data architecture solution that combines multi-platform data modeling, business process modeling, and enterprise metadata for organizations of all sizes. With an extensive feature set, the ER/Studio suite provides robust logical and physical modeling with ER/Studio Data Architect, business process and conceptual modeling with ER/Studio Business Architect, business glossaries with ER/Studio Team Server, and more, to build the foundation for data governance programs.

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