PgConf.Russia 2017

We will discuss some tricks and patterns while developing web-application architecture based on ORM technology with Postgresql functions implementation with Python Django as an example. Also we will consider some ways of building the business logic inside a database with keeping Django framework opportunities and implementation of it's built-in admin panel.

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Java is one of the most used languages when programming with PostgreSQL databases. Join this tutorial to learn or review the techniques to connect to postgres, best programming practices with JDBC, and to explore jOOQ, a mapper software that allows you to use the full power of SQL and postgres advanced query features while avoiding all the boilerplate code.

This tutorial is very practical: most of the time will be dedicated to iterate through code samples. It will cover:

• Introduction to Java and PostgreSQL
• Ways of connecting to PostgreSQL from Java (not only JDBC!)
• Introduction to JDBC. JDBC types. PostgreSQL JDBC
• Code demo: JDBC with PostgreSQL. From Java 1.4 to Java 8, best practices and code samples
• Code demo: jOOQ, a great mapper for PostgreSQL
• Java inside PostgreSQL
• The future of Java and PostgreSQL

About two-thirds of the tutorial will be dedicated to iterate over code samples and demos. All the code would be available from public open-source repositories and built with maven, so that any attendee may download it and build easily to play with it during the tutorial (although not required).

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Part 1

Part 2

Part 3

Part 4

Alexey will present technical details and share hands-on experience of extreme data normalization application for data infrastructure with exceptional parameters design and development. Extreme normalization-based data infrastructures has the following competitive advantages in comparison with market leaders: - Real-time data processing for 10 PB of data and more - 2-6 times better overall performance - 100% data consistency through total data landscape - Almost linear scalability - 4-10 lower cost of ownership - etc The abovementioned approach has been successfully utilized out of Russian market in telecommunication, retail, fin-tech, manufacturing (Industry 4.0, industrial IoT), and government institutions.

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• why we build PostgreSQL from sources?
• choice build options
• dependencies
• creation system environment
• how to customise Linux for work with PostgreSQL
• extra soft for PostgreSQL DBA

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