PgConf.Russia 2019
PGConf.Russia is a leading Russian PostgreSQL international conference, annually taking together more than 500 PostgreSQL professionals from Russia and other countries — core and software developers, DBAs and IT-managers. The 3-day program includes training workshops presented by leading PostgreSQL experts, more than 40 talks, panel discussions and a lightning talk session.
Thems
- PostgreSQL at the cutting edge of technology: big data, internet of things, blockchain
- New features in PostgreSQL and around: PostgreSQL ecosystem development
- PostgreSQL in business software applications: system architecture, migration issues and operating experience
- Integration of PostgreSQL to 1C, GIS and other software application systems.
Talks
Talks archive
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Aleksander Sheludchenkov GK "Mitra"- Migration of the standard 1C cluster to MPI environment - "machine to machine migration of services".
- PostgreSQL migration to GPU powered machine.
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Anton Doroshkevich InfoSoftDuring the report, I would like to share the experience of implementing BlockChain in a real business task based on 1C+PostgreSQL. Where did this task come from? From whom do we protect data with the help of technology? How to get a chain integrity report of tens of millions of records in seconds?
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Andrey Fefelov Mastery.proPatroni is getting art of state standard framework for building HA clusters with postgres now.
During session we will build simple 3 node cluster using mentioned stack.
We will discuss patroni's architecture, and most interesting parameters from it's configuration. We will check how actually failover works and how could you initialise cluster.
After session you will be able to built such cluster from scratch in minutes using given ansible playbooks.
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Nikolay Ryzhikov Health Samurai
Марат Сурмашев Health SamuraiJSONB in PostgreSQL has interesting properties for design and development of business systems with heavy domain, helping to fight against complexity and variability. We will discuss the trade-offs of the JSONB approach. Using an open source project for Health IT - fhirbase we will:
- load synthetic medical data into PostgreSQL
- learn how to search and index this data (gin, jsquery, json-knife)
- use JSON aggregation to build complex queries (GraphQL)
- see how this data can be modified and validated
- discuss architecture consequences of JSONB usage
Technical requirements:
- docker
- docker-compose
Photos
Photo archive