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September 25 , 2023

PGConf.SPB 2023

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Talks

Talks archive

PGConf.SPB 2023
  • Aleksandr Kalendaryov
    Aleksandr Kalendaryov DdataGile

    In modern data analysis, machine learning models are used as often as databases. Such IT giants as Google and Amazon have already combined them. Microsoft and Yandex are not far behind. Isn't it time to implement a machine learning model in PostgreSQL? In the report you will hear about the basics of machine learning, its implementation in databases and an example of realization as postres extension.

  • Mikhail Rutman
    Mikhail Rutman PostgresPro

    Traditionally, fault tolerance in Postgres is implemented using built-in replication mechanisms and external utilities that monitor the state of running Postgres instances and react accordingly when various failures occur. In this presentation, I will tell you what we like and what we don’t like about this approach, which alternative we see, what we have been able to achieve to date and what we want to get done by the time of release, which is planned for December.

  • Rafael Vafin
    Rafael Vafin Xsquare

    Migration from Oracle DB/Application. What is the price?

    Lowering the threshold for a programmer to enter the development of business applications using the Database-Centric approach on the Low Code Development Platform based on PostgreSQL.

  • Boris Pischik
    Boris Pischik PostgresPro
    Aleksandr Kotin
    Aleksandr Kotin PostgresPro

    We will present adaptive query optimization techniques and key capabilities of the new version of AQO and SR_PLAN extensions.

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