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March 15 – 17 , 2017

Postrelease

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Talks

Talks archive

PgConf.Russia 2017
  • Andrey Fefelov
    Andrey Fefelov Mastery.pro

    I will tell you about why Postgres is first-choice product as a foundation for your BI system with classical OLAP workload. Briefly it will be said about existing open source BI solutions.

    I will also describe specific of our architecture, why we chose snowflake scheme and how we are doing extract, transformation and load procedures. It will be mentioned about special Postgres tuning for OLAP and massive data bulkload workloads. Also I will let you know about Postgres usage as a column database with cstore_fdw by Citus and results achieved. Cons and problems of our approach will be described in the end of the talk.

    VIDEO

  • Igor Chizhevskiy
    Igor Chizhevskiy SRC "Voshod"
    Sergey Korolev
    Sergey Korolev MCST
    Dmitry Pogibenko
    Dmitry Pogibenko FGBU "NII Voskhod"
    Stanislav Merzlyakov
    Stanislav Merzlyakov Scientific Research Institute "Voskhod"
    Илья Космодемьянский
    Илья Космодемьянский Data Egret
    Иван Богданов
    Иван Богданов SRC "Voshod"

    Practical experience of carrying out import substitution with using PostgreSQL in government information system including not only the free software, but also the Russian hardware (Elbrus servers and other).

    VIDEO

  • Pavel Luzanov
    Pavel Luzanov PostgresPro

    Debugging, profiling, and tracing of the executed commands play an important role in development of any applications. This is also true for developing stored procedures in DBMS.

    PostgreSQL offers various tools (both built-in and external) for these purposes.

    In this talk, we will provide an overview of the available tools and their advantages and disadvantages, as well as a detailed demo of their use cases.

    This talk is a part of a basic course for backend application developers (DEV1), which “Postgres Professional” company plans to announce in the near future.

  • Roland Sonnenschein
    Roland Sonnenschein Hesotech GmbH

    Often it is enforced by the customer or even by law, to document the circumstances of the production of parts or lots. This talk is about the automated generation and storage of the corresponding administrative data and their correlation to measurements. Administrative data are entities like suppliers batch, article, serial number or production date. They are often to be exchanged with ERP systems.

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