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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.

  • 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.

  • Artem Sergienko
    Artem Sergienko PostgresPro

    Hardening is the process of strengthening the security of a system in order to reduce risks from possible threats. In my presentation, I will tell you how to protect service cluster communications using TLS connections, in order to avoid accidental or unauthorized access to Patroni's REST API and ETCD storage.

  • Alexandr Burtsev
    Alexandr Burtsev Postgres Professional
    Sof'ya Kopikova
    Sof'ya Kopikova PostgresPro
    Darya Lepikhova
    Darya Lepikhova PostgresPro

    We will answer the questions about the importance of compression in backup process. Will show a demo how to use the following available algorithms: pglz, zlib, zstd, lz4 in different editions of pg_probackup. We'll show you how to make incremental backups and restore even faster with PTRACK and CFS (tablespace compression) in Postgres Pro. The plans for further development will also be announced.

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