February 05 – 07 , 2018
PGConf.Russia 2018
PGConf.Russia 2018
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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Oleg Bartunov PostgresPro
Teodor Sigaev PostgresPro
Alexander Korotkov PostgresPro -
Alex Lustin SilverBulleters, LLCI would like to share experience in runing PostgreSQL in dockerized environments, describe the specific issues and tools you will need to solve them.
- Which problems could be solved by Docker for PostgreSQL, e.g. PostgreSQLPro.9.6
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Work of IT team with Docker in development, testing and production environments
- Using image repository and build servers for image testing
- Issues in production environment:
- With network activity
- With persistent repositories for Docker
- With additional services
- With load balancing and fail-safety
- Running PostgreSQL-base applications, such as:
- SonarQube
- Gitlab
- 1С platform
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Ivan Frolkov PostgresProApart from its main purpose of scheduling tasks, pgpro_scheduler can also deal with chained transactions. It can be used in various scenarios of asynchronous data processing.
This tutorial demonstrates pgpro_scheduler features that ensure secure processing of chained transactions. We'll be using cryptocurrency transactions as an example.
pgpro_scheduler is included into Postgres Pro Enterprise as an extension.
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Olivier Courtin DataPinkPostGIS is well known and widely used since two decades, as the best OpenSource database solution for Spatial Analysis. This talk will focus on: spatial and advanced spatial analysis with pure PostGIS (including cutting edge PostGIS functions available); how to go further throught GeoDataScience, with Python libs and framework tied with PostgreSQL/PostGIS (including Machine and DeepLearning)
Photos
Photo archive