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
-
Christopher Travers DeliveryHero SEIn the last six months I have been working with a massive OLAP environment with 20TB shards, spanning around 400TB of data. Come to listen to how we make it all work, the challenges, and the skills involved. This talk has very little in common with the 10TB and Beyond talk because the data environments are very different.
We will cover analytics performance, data alignment, reasons for building extensions in C, and moving data around between servers in multiple data centers.
-
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
-
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
-
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)
-
Olivier Courtin DataPink
- Spatial and advanced spatial analysis with pure PostGIS (including cutting edge PostGIS functions available)
- How could we mix and tied efficiently PostgreSQL and Python data types (as NumPy ndarray, and Pandas DataFrames)
- Tools to improve our data manipulation environment (Jupyter tricks, easy dataviz...)
- How to go further throught GeoDataScience, with Python libs and framework tied with PostgreSQL/PostGIS (including Machine and DeepLearning)
Photos
Photo archive