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February 03 – 05 , 2020

PgConf.Russia 2020

PgConf.Russia 2020

PGConf.Russia is a leading Russian PostgreSQL international conference, annually taking together more than 700 PostgreSQL professionals from Russia and other countries — core and software developers, DBAs and IT-managers. The 3-day program includes training workshops presented by leading PostgreSQL experts, more than 40 talks, panel discussions and a lightning talk session.

Thems

  • PostgreSQL at the cutting edge of technology: big data, internet of things, blockchain
  • New features in PostgreSQL and around: PostgreSQL ecosystem development
  • PostgreSQL in business software applications: system architecture, migration issues and operating experience
  • Integration of PostgreSQL to 1C, GIS and other software application systems.
  • more than
    0 participants
  • 0 speakers
  • 0
    minutes of conversation
  • 62 talks
  • offline
    format

Talks

Talks archive

PgConf.Russia 2020
  • Pavel Luzanov
    Pavel Luzanov PostgresPro

    In May 2019 «Postgres Professional» launched the PostgreSQL Certification Program. Now you can not only get training in our courses, but also confirm your knowledge by passing an appropriate set of tests.

    In this presentation, I will share the results of the first months of the program and answer the most frequently asked questions:

    Where can I get information about the certification program?
    PostgreSQL or Postgres Pro certification?
    Certificates for PostgreSQL version 10. When will you upgrade to the current version?
    Do I have to attend training centers?
    Can I pass the test remotely? Not in Moscow?
    Is it possible to take several tests at once in one day?
    How to prepare for the test? Are there any examples of training questions?
    During the test I got an incorrect question, what should I do?
    How to find out exactly which questions the answers were not correct?
    When can I retake after an unsuccessful attempt?
    How to appeal the test results? 
    

  • Алексей Лесовский
    Алексей Лесовский PostgreSQL Consulting LLC

    Today no one is surprised by cloud infrastructure anymore, but not all its components are easy to deploy in cloud. For example, the database is always very demanding in terms of performance and resources. Scaling and fault tolerance are the most acute problems, that's why we have been observing rapid development of alternative DBMS in the recent years. However, traditional relational DBMS have already accumulated a lot of various features, so they often remain the first choice. Besides, they are constantly evolving and offer a wide variety of scaling tools. I will mainly speak about PostgreSQL, when you should consider scaling, and how to do it right.

    We will touch upon the following topics:
    - Streaming replication and balancing read/write workloads
    - Logical replication and data sharding
    - High availability and fault tolerance

    This talk should be interesting to DBAs, system administrators, team leads, infrastructure architects, as well as wider audience dealing with PostgreSQL.

  • Иван Чувашов
    Иван Чувашов Calltouch LLC.

    When migrating data from one DBMS to another, the question arises: choose a third-party tool or to program the migration yourself? Companies, trying to grow competencies within themselves, choose the second option. And they come across the "invention of their own bicycles". However, the market has powerful free data migration tools. One such tool is Pentaho Data Integration, part of the Pentaho Community Edition. The report will discuss the use of this package for data migration between Oracle and PostgreSQL. Particular attention will be paid to the problems with using this tool, and to the tasks of testing for the completeness and integrity of migrated data.

    Small video illustration:

  • Alexey Fadeev
    Alexey Fadeev Sibedge

    Recently, I was working on a project where graphQL was used for sending requests to its .NET Core backend, but this was not a good idea. The point is, a graphQL query is a hierarchical structure with a dynamic set of fields. It’s difficult to perform such requests via a statically-typed programming language and a relational database as suggested by the tools available. So, I came up with the idea of using the plv8 extension and perform graphQL queries right on the database side. It took me about two hours to develop a working prototype that could perform the same queries as the software under development for more than one month! Then various improvements have been made and I want to introduce them all. If you are thinking of using graphQL instead of REST, my speech could be most useful and could help you to save a lot of time.

All talks

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