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September 25 , 2023

PGConf.SPB 2023

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  • 24 talks
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Talks

Talks archive

PGConf.SPB 2023
  • 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.

  • 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.

  • Юрий Темкин
    Юрий Темкин CyberProtect
    Ivan Belinsky
    Ivan Belinsky CyberProtect

    An important aspect of PostgreSQL database security and reliability is backup practices. The talk will reveal the main techniques and methods used to protect data, prevent loss and successfully recover information in case of human error, failures or emergencies. We will tell how CyberBackup helps to protect PostgreSQL, including configuration in Patroni cluster: we will consider system deployment options, important aspects of backup policy configuration, including full and incremental backups. We will also show how to easily work with backups via mount and do granular restores.

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PGConf.SPB 2023

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