PgConf.Russia 2019

At pgconf’17 I talked about our analytics systems based on PostgreSQL. Afterwards we looked at hadoop, s3, presto, vertica, and other frights. Finally we stopped to suffer nonsense and just completed PostgreSQL with ready Greenplum and Clickhouse. As a result, we achieved amazing performance, fast migration, easy maintenance, reliability and horizontal scalability. We enabled to recover the system after fault in two commands, decreased infrastructure costs and expanded functionality due to ANSI SQL, MPP and In-memory. All within the open-source and full SQL paradigm. We called the product GreenHouseSQL, which is our inner whole cycle data platform. In the talk we will show the beauty of solution internals, explain the advantages and flaws, tips and tricks of starting with Greenplum, as well as why do we need Clickhouse, what is left to PostgreSQL, and eventually how does it all work.

Our company has developed a software product Live Universal Interface (LUI) is a tool to quickly create and modify standardized on-screen forms to WEB browsers without compiling code, know just enough SQL. LUI is aimed at B2B, B2G, G2C and B2C segments and intended for use in billing systems, financial management, accounting and control of production, where you must decide first and foremost functional tasks, rather than demonstrate unnecessary graphics elements.

Collective elaboration is provided by storing all elements of program code in the total database, which can be located on the corporate server or in the "cloud" on a third-party site.

The first training course "DBA1. PostgreSQL Administration. Basic Course" was introduced by Postgres Professional in September 2015. The course was based on the then up-to-date version of PostgreSQL 9.4. A set of new courses has been introduced since then. In turn, the PostgreSQL database didn't stand still either.

The report will present the current line of courses for administrators and application developers. We will also show the roadmap for the near future, which includes specialist certification.

JSONB in PostgreSQL has interesting properties for design and development of business systems with heavy domain, helping to fight against complexity and variability. We will discuss the trade-offs of the JSONB approach. Using an open source project for Health IT - fhirbase we will:

• load synthetic medical data into PostgreSQL
• learn how to search and index this data (gin, jsquery, json-knife)
• use JSON aggregation to build complex queries (GraphQL)
• see how this data can be modified and validated
• discuss architecture consequences of JSONB usage

Technical requirements:

• docker
• docker-compose

Detailed prerequisites