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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.

  • Peter Gribanov
    Peter Gribanov 1C LLC

    • 1С: as a cross-platform business application development environment
    • 1С and PostgreSQL together since 2006
    • 1C How to work with 1С on PostgreSQL in 1cFresh cloud service
    • What major improvements in 1С:platform make work with PostgreSQL more efficient.

  • Denis Smirnov
    Denis Smirnov КГБУЗ КДЦ Вивея

    As we all know, PostgreSQL is a classic vertically scalable database for OLTP loads. In parallel with PostgreSQL for many years there is its alternative horizontal-scalable MPP version of PostgreSQL, that is called Greenplum, sharpened for big data and OLAP workload. In my pitch I will show the internal architecture of Greenplum (distributed transactions, data sharding, partitioning with hybrid storage in external systems, column storage engines with compression, and much more), a comparison with the internal structure of PostgreSQL and the application areas of each solution are shown.

  • Kamil Islamov
    Kamil Islamov Stickeroid Ai

    Wide usage of Common Table Expression queries considered as a core paradigm for implementing the Business Logic for high loaded web applications development based on PostgreSQL functions.

All talks

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