February 05 – 07 , 2018
PGConf.Russia 2018
PGConf.Russia 2018
PGConf.Russia is a leading Russian PostgreSQL international conference, annually taking together more than 500 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.
Talks
Talks archive
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Bruce Momjian EnterpriseDBThis talk explores the ways attackers with no authorized database access can steal Postgres passwords, see database queries and results, and even intercept database sessions and return false data. Postgres supports features to eliminate all of these threats, but administrators must understand the attack vulnerabilities to protect against them. This talk covers all known Postgres external attack methods.
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Egor Rogov PostgresPro"And telling GIN from SP-GIST was quite beyond his wit, we found", said the classic. Can you? This masterclass is about not-so-often used index types (compared to conventional B-tree) which however can do a great job for you. We will look into internal mechanics of these indexes and discuss cases where they can be successfully applied. Also we will talk about some peculiarities of PostgreSQL index access. To spend time efficiently, listeners are required to have basic knowledge of PostgreSQL and should be used to read plans of simple queries.
Materials of the master class
Backup copy of the database with demo data can be downloaded here:
- Recovery with pg_restore (338 MB)
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Olivier Courtin DataPink- Spatial and advanced spatial analysis with pure PostGIS (including cutting edge PostGIS functions available)
- How could we mix and tied efficiently PostgreSQL and Python data types (as NumPy ndarray, and Pandas DataFrames)
- Tools to improve our data manipulation environment (Jupyter tricks, easy dataviz...)
- How to go further throught GeoDataScience, with Python libs and framework tied with PostgreSQL/PostGIS (including Machine and DeepLearning)
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Viktor Egorov Data EgretThis talk will compare architectural decisions that are made in PostgreSQL vs. ORACLE and will provide a closer look at the following components of both DBMSs:
- The ins and outs of the working DBMS, its processes and their function
- Structures that DBMS manages
- Durability mechanics of each respective DBMS
- MVCC design and database restoration options
- Storage of data on the physical media
Each architectural decision will be evaluated based on the experience with DBMS of choice, ease of administration and future improvement possibilities.
This review will demonstrate the notable strengths of PostgreSQL as an open-source DBMS compared to the commercial solution in many cases.
This talk will be interesting for:
- PostgreSQL users, as it will allow to take a closer look into an alternative DBMS;
- PostgreSQL administrators, that will be able to see huge administration possibilities that ORACLE offers and that could be adopted in PostgreSQL;
- PostgreSQL hackers, as Postgres is being actively developed and this talk will review new development segments;
- Those who are willing to migrate from ORACLE (or any other commercial DBMS) into an open-source project, as this talk will show the features of PostgreSQL compared to the commercial product.
Photos
Photo archive