Top.Mail.Ru
PgConf.Russia 2017 | PGConf.Russia

title

text

March 15 – 17 , 2017

Postrelease

  • more than
    0 participants
  • 0 speakers
  • 0
    minutes of conversation
  • 63 talks
  • offline
    format

Talks

Talks archive

PgConf.Russia 2017
  • Peter Gribanov
    Peter Gribanov 1C LLC

    "1C:Enterprise" is the most popular in Russia/Eastern Europe business applications development framework supports PostgreSQL for 10+ years. We'll review some cases and pecularities of 1C and PostgreSQL tandem.

  • Hans-Jürgen Schönig
    Hans-Jürgen Schönig Cybertec Schönig & Schönig GmbH

    Database systems are increasing in size and so is the need to process huge amounts of data in real time. As commercial database vendors are bragging about their capabilities we decided to push PostgreSQL to the next level and exceed 1 billion rows per second to show what we can do with Open Source. To those who need even more: 1 billion rows is by far not the limit - a lot more is possible. Watch and see how we did it.

    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

  • Philip Delgyado
    Philip Delgyado ITIS Ltd

    When working with a complex business logic, you often have to implement a workflow - a sequence of several processing steps, with each step implementing a separate part of the business logic. This is usually done with specialized queues, but if there are high reliability demands, it makes sense to do everything on PostgreSQL.

    I will describe the tasks that require a workflow implementation, offer a solution, compare it with other options, and tell you about the implementation traps and pitfalls.

All talks