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March 15 – 17 , 2017

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Talks

Talks archive

PgConf.Russia 2017
  • Masahiko Sawada
    Masahiko Sawada NTT OSS Center

    Database sharding enables a distribution of the database over a large number of machines, greatly improving performance. With the advent of Foreign Data Wrappers (FDW), it's possible to consider a database sharding in PostgreSQL with acceptable level of code changes using FDW. We've been working on enhancing around FDW infrastructure such as foreign table inheritance and pushing down so that PostgreSQL can execute the distributed query efficiently using FDW. In this talk, I'll cover what FDW-based sharding is and what use-cases it can cover. And then I'll demonstrate how to build sharding and describe our achievement of a FDW-based sharding in PostgreSQL community. Finally, I'll describe further enhancements to FDW such as Async Execution and Distributed Transaction Support.

  • 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.

  • 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

  • Alexey Mergasov
    Alexey Mergasov NOXA Data Lab

    Alexey will present technical details and share hands-on experience of extreme data normalization application for data infrastructure with exceptional parameters design and development. Extreme normalization-based data infrastructures has the following competitive advantages in comparison with market leaders: - Real-time data processing for 10 PB of data and more - 2-6 times better overall performance - 100% data consistency through total data landscape - Almost linear scalability - 4-10 lower cost of ownership - etc The abovementioned approach has been successfully utilized out of Russian market in telecommunication, retail, fin-tech, manufacturing (Industry 4.0, industrial IoT), and government institutions.

    VIDEO

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