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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
  • Bruce Momjian
    Bruce Momjian EnterpriseDB

    Postgres has always had strong support for relational storage. However, there are many cases where relational storage is either inefficient or overly restrictive. This talk shows the many ways that Postgres has expanded to support non-relational storage, specifically the ability to store and index multiple values, even unrelated ones, in a single database field. Such storage allows for greater efficiency and access simplicity, and can also avoid the negatives of entity-attribute-value (eav) storage. The talk will cover many examples of multiple-value-per-field storage, including arrays, range types, geometry, full text search, xml, json, and records.

  • Valery Popov
    Valery Popov PostgresPro
    Николай Чадаев
    Николай Чадаев PostgresPro

    Role-based access control (RBAC) is one of the main mechanisms used for access control in many DBMS, including PostgreSQL. This model is a sub-type of traditional discretionary access control with its restrictions. In addition to DAC, many operating systems also use mandatory access control (MAC) based on security labels. This additional security mechanism is obligatory for protecting information that demands higher levels of security. Naturally, we would like to use MAC within DBMS when working in OS with mandatory access control switched on.
    In this talk, we'll give an overview of existing MAC implementations in DBMS, as well as share our approach to using security mechanisms provided by SELinux, the sepgsql extension for PostgreSQL, and the standard mechanism of row-level security (RLS), which has been available in PostgreSQL starting from version 9.5.
    In our presentation, we will use the "Airlines" demo database provided by the Postgres Professional company to show how to protect sensitive information and personal data, compare different ways of storing security labels, and assess performance of our solution.

  • Tatiana Krupenya
    Tatiana Krupenya DBeaver Corp
    Сергей Ридер
    Сергей Ридер DBeaver Corp

    Sometimes it maybe a very tricky just to establish a connection with your remote database. Especially if your working place is in highly secured corporate environment and your database server is in highly secured remote cloud.

    We will talk about bypassing SSH, SSL, jump servers, proxy servers, VPNs and various SSO (Kerberos/SSPI/LDAP/Active Directory) authentication systems in order to access your PostgreSQL database using console or rich UI interface and JDBC. We will describe different use cases - from trivial and typical to insane and over-secured.

  • Dmitry Ursegov
    Dmitry Ursegov PostgresPro

    Greenplum is a horizontal scalable database based on PostgreSQL core. It is used for OLAP workloads and a standard task is to quickly load or unload large amounts of data. The external data resources are usually another distributed systems. In this talk I will show how Greenplum can work with external data. What is the architecture and performance of external and foreign tables and how to handle streaming data. What will be changed in the next version. The examples of Kafka and ClickHouse connectors development.

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