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February 03 – 05 , 2020

PgConf.Russia 2020

PgConf.Russia 2020

PGConf.Russia is a leading Russian PostgreSQL international conference, annually taking together more than 700 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
  • 62 talks
  • offline
    format

Talks

Talks archive

PgConf.Russia 2020
  • Gregory Smolkin
    Gregory Smolkin PostgresPro

    pg_probackup is a flexible tool that allows choosing the backup strategy depending on the write load of the PostgreSQL cluster, as well as offers a number of other features that can facilitate this vital aspect of database maintenance. In this tutorial, we will see how to apply this tool in practice.

  • Oleksii Kozlov
    Oleksii Kozlov Swarm64 AS
    Mikhail Tsvetkov
    Mikhail Tsvetkov Intel

    If you care about Postgres performance, there are a number of hardware acceleration options to help with different use cases. Intel Optane DC persistent memory creates new tier in data hierarchy allowing developers to utilize performance of traditional memory combining with volume and persistency of block storage devices. Unlike traditional DRAM-only in-memory systems, where memory is small, expensive, and volatile, Intel Optane DC persistent memory makes it possible to run larger Postgres databases (terabytes) in memory for higher performance. FPGAs are integrated circuits that can be reprogrammed dynamically to accelerate a specific workload such as SQL execution and data compression. FPGA accelerators extend Postgres with hundreds of SQL reader and writer processes that work in parallel on the FPGA. It’s similar to adding hundreds new cores to boost parallel processing on your server.

  • Ivan Panchenko
    Ivan Panchenko PostgresPro

    In this tutorial, we will solve several programming problems using JSON functionality that extends SQL capabilities and virtually turns a relational database into an almost ready-to-use application server. :)
    We will learn how to use aggregates, both standard and custom, as well as review possible benefits of JSON recursive structure.

  • Andrei Salnikov
    Andrei Salnikov Data Egret

    Tracking poor queries is an infinity quest for developers, who works with databases. Often we think that it is guilty the slow and big queries. But what to do if we do not have that kind of queries between backend and database? Which kind of queries should we looking for? What tools should be used for that work? This talk will cover all these questions.

All talks

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