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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Nikolay Ryzhikov Health SamuraiIf you honestly evaluate most of our business applications, you will see that they first collect and import the data into a database and then send the same data in the opposite direction.
What if we don't build an ORM wall between the application and the database, but try using the symbiosis of their strong points and special features instead?
I will tell you how we use PostgreSQL and Clojure for building data-intensive medical applications. We will cover the following topics:
- functional relational programming
- jsonb for modeling complex data domains
- functional indexes and json-knife extension for jsonb search
- graphql implementation on PostgreSQL
- logical replication for building reactive integrations
- asynchronous JDBC-free connector to PostgreSQL on netty
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Darafei Praliaskouski JunoPostGIS is a spatial extension to PostgreSQL that enables spatial datatypes, access methods and a set of functions to perform geometric operations on them.
Typically PostGIS is used to select a small subset of a big static dataset. In this talk I'll cover issues that arise when working with big dynamic data flows, and ways to resolve them, on examples that we've met developing Juno ride sharing service backend.
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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)
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Andrei Nikolayenko IBS
Boris Neiman Mellanox
Arthur Zakirov PostgresProLast year we announced Skala-SR / Postgres Pro database machine with a hardware and software support for remote direct memory access (RDMA) as a key feature. The first appliances have been already installed at customer sites, and even with the first version customers got some constructions, that were impossible without RDMA and CPU offload (got with Mellanox networking). However, capabilities of this equipment are much wider, and this talk is dedicated to current works and prospective developments for this topic.
Photos
Photo archive