A developer discusses an open source project he has created using Python and SQLAlchemy that allows users to automate huge amounts of processes. Logic Bank relies on SQLAlchemy, which requires an object model: a set of Python classes describing your database.
Logic Bank introduces spreadsheet-like rules to automate transaction logic for databases – multi-table constraints and derivations, and actions such as sending messages or emails. It can reduce 95% of your transactional logic by 40X.
It is based on Python and SQLAlchemy, an Object Relational Mapper (ORM). It's open source on [GitHub].
In SSMS, we many of may noticed System Databases under the Database Folder. But how many of us knows its purpose?. In this article lets discuss about the System Databases in SQL Server.
Rule engine automates SQLAlchemy update logic for remarkable agility - 40X more concise. Scalable. Extensible and manageable using Python.
Automation often levies a "flexibility tax,” reducing the flexibility required to achieve project objectives. But done right, as in the case of SQLAlchemy and Logic Bank, you get the time-savings of automation, yet retain control of critical design flexibility. That's Design Automation.
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