Postgres and the Artificial Intelligence Landscape

Artificial intelligence, machine learning, and deep learning are intertwined capabilities that attempt to solve problems that defy traditional computational solutions — problems include fraud detection, voice recognition, and search result recommendations. While they defy simple computation, they are computationally expensive, involving computation of perhaps millions of probabilities and weights. While these computations can be done outside of the database, there are specific advantages of doing machine learning inside the database, close to where the data is stored. This presentation explains how to do machine learning inside the Postgres database.

Postgres Pro Data Compression (CFS) for 1C ERP platform data

Postgres Pro Enterprise has a great compression engine. The year 2020 was devoted to the study of this mechanism in the real work of 1C. We have accumulated some statistical data and of course the subtleties of the use and behavior of 1C compared to other popular DBMS, which I want to share.

NORM - No ORM Framework

It's a well-known fact, that although the database performance is great, and each query is executed in milliseconds, the overall application response time may be slow, making the users wait for a response for an extended period of time. We know that the problem is not the database, but the way the application developers communicate with the database. Specifically, we are talking about ORMs - Object-Relational Mappers. Database developers hate them, but application developers love them because they allow developing applications without any knowledge of database internals. As a result, the system performance is often unacceptably slow.

The only way to change this behavior is to provide application developers with a tool, which is as easy to use, as an ORM, but which will allow escaping the common ORM pitfalls. That's why we developed NORM - No-ORM Framework. During this presentation, we will go over examples of code from https://github.com/hettie-d/NORM repo and learn how to build "transport objects" for efficient data transfer between applications and databases

Pitfalls we face when cloning and transferring PostgreSQL databases & clusters

Cloning and transferring PostgreSQL databases & clusters often looks simple.

However, you can get confused while performing these simple operations, too. During my presentation, I will explain which pitfalls you may face while cloning and transferring PostgreSQL databases & clusters. We'll see what can be done to improve the performance of these operations and list the unexpected issues that arise while performing these seemingly simple operations.