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February 04 – 06 , 2019

PgConf.Russia 2019

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.
  • more than
    0 participants
  • 0 speakers
  • 0
    minutes of conversation
  • 63 talks
  • offline
    format

Talks

Talks archive

PgConf.Russia 2019
  • Dmitry Yuhtimovsky
    Dmitry Yuhtimovsky Gilev.ru

    Magic tricks followed by exposure (1C+PG):

    • Focus number one. How to convince the accounting department to buy a new server.
    • Focus number two. How to show that MS SQL is faster than PostgreSQL.
    • Focus number three. How to show that PostgreSQL is faster than MS SQL Server.

  • Andrey Borodin
    Andrey Borodin Yandex

    I'm going to talk about emerging technologies in the area of general purpose RDBMS indexing. I will describe different approaches suitable for different workloads. We will discuss ideas from academic researches and corresponding industrial response from developers, communities, and companies. There will be the short live-coding session on creating DIY index in PostgreSQL.

  • Piotr Jarmuż
    Piotr Jarmuż Allegro sp. z.o.o

    My presentation is about writing extensions in Postgres. I have written pg_threads that implements simplified POSIX thread API inside Postgres database. It adds a new powerful abstraction giving database developers new opportunities for writing parallel code thus taking advantage of multicore CPUs. There is an extra API for transactional and non-transactional IPC between threads. I also have an example application that takes advantage of this new API that scales linearly even across 2 nodes. The presentation is with live working demo using vagrant project with 2 VMs running Ubuntu and 2 Postgres 11 databases.

  • Sergey Andreev
    Sergey Andreev Ortikon Group

    Several real cases from those who stopped the migration to PostgreSQL.

All talks

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