Shardman - the native approach to sharding in PostgreSQL

The amount of data that is handled today by Enterprises and Web companies is constantly growing. At the same time, it becomes increasingly difficult to have and synchronize several copies of data in different systems. As a result there is a demand to work with large amounts of data directly in a transactional DBMS. This requirement is often imposed by the logic of applications that need real-time results. In this talk we will consider what a universal distributed transactional DBMS can be. We will analyze such aspects as the types of load and their prioritization, dynamic resource allocation and the level of consistency. What tools in PostgreSQL can be used to build such system, what we have already done and what is still missing.

New development of LUI (Live Universal Interface) - LUI4ORA2PG, migration tool

The report will talk about a new tool for migrating application systems from the Oracle environment to the Postgres environment. The tool is developed on the basis of the ora2pg tool (by Gill Darold) and the domestic LUI application development tool. Talks on LUI were given at past PGConfs in 2019 and 2020:

• https://pgconf.ru/en/2019/118109
• https://pgconf.ru/en/2020/262456

Managing moving objects data with MobilityDB

MobilityDB is a moving object database extension to PostgreSQL and PostGIS. It has types and functions for storing an querying geospatial trajectories, as first class citizens. The main type is called tgeompoint (temporal geometry point). It represents a complete movement track of a geometry point, such as a car, a bird, or a person. The function speed(tgeompoint) computes the time varying speed of the object, as a tfloat (temporal float). Similar to these examples, MobilityDB has 6 temporal types, and over 300 functions. As such, it is a function-rich platform for Mobility Data Management.

In this tutorial you will:

• learn about moving object databases
• write MobilityDB SQL queries and explore a database of geospatial trajectories
• walk through the different type, indexes, and functions of MobilityDB.

Building real-time analytics with PostgreSQL

In today's world, operational reporting and real-time analytics are becoming a basic need. There are a huge number of tools, practices, and approaches, which in turn require different expertise and resources. In this talk, I will tell you how to transform your analytics using PostgreSQL. We'll discuss pitfalls when using different schemes. We'll talk about data quality and performance. I expect this talk to be of interest to both beginners and seasoned practitioners with many years of experience (Discussions and questions after the talk will be highly appreciated). The talk outline is as follows. 1. The evolution of reporting - migration from OLTP to OLAP. 2. Data delivery to DWH and related challenges. 3. Scaling architecture in response to growing data volumes. 4. Data quality issues. 5. Maintaining stability with a large number of changes. 6. Different approaches to organizing the work of the DWH team. 7. And, finally, we'll list the challenges we have successfully responded to with various solutions (pgAgent, PGWatch, working with the file system, the new reading of postgresql.conf).