Open Systems. DBMS 2020, Volume 28, Number 2



Transactional Databases Hyperscaling: To Be or Not to Be?
While linear scaling of analytic workloads has been achieved long ago, transactional workloads have proved to be an issue. Certain milestones in this regard are achieved now as well, thanks both to hardware progress and database architecture innovation. Still, a definitive solution to this problem is yet to be found.
Andrei Nikolayenko (, Chief Architect, SCALA-R; Dmitry Volkov (, Senior Research Fellow, M. V. Keldysh Institute of Applied Mathematics (Moscow).

DBMS for High-Load Systems
Following the mass exodus of Western database vendors from the Russian market, the nation has faced the issue of import substitution across the board. The Postgres Pro database is one of the building blocks that helps ensure the country's technology independence.
Mark Rivkin (, Head of Technology Consulting Department, Postgres Professional (Moscow).

Relational Database for Modern-Day Hardware
With today's mass trend towards special-purpose databases, the future of relational systems approach seems to be uncertain. However, as Linter Sokol database has proven, classic relational databases can still show exceptional performance, enabling them to retain their standing. Re-implementing traditional databases using novel approaches yields higher performance with the same hardware.
Konstantin Seleznyov (, Lead Expert, RELEX Group (Voronezh).

The Ways Open Source is Changing Contemporary Databases
The lifecycle of popular industrial-use databases spans dozens of years – in the modern world, data is more valuable than gold, so no losses or bias are permissible. However, with the world changing rapidly, developers are continuously pressed to seek a balance between the conservative stability and the need to adjust to the new reality. The YDB database is no exception.
Oleg Bondar (, YDB Product Manager; Ivan Blinkov (, Product Management Head for Open Source YDB, Yandex (Russia).

Distributed Database for Big Data
The situation Russian companies have now ended up in has once again shown how critical it is to have mature software solutions proven by numerous deployments for a vendor in the portfolio, along with rich expertise. This has proven right for the market of Russian databases built upon open-source technologies as well.
Anton Kovalenko (, Product Marketing Head, Arenadata (Moscow).


Open-Source Enterprise Data Analytics Solution
In the digital era, analytics platforms have grown to be a critical business asset, yet their operation, despite often being too costly, does not ensure the desired acceleration of implementing new data analysis approaches. The open-source Trino project allows analyzing data from various sources, while its commercial edition, the Russian CedrusData platform offers additional services and integration capabilities.
Vladimir Ozerov (, CEO, CedrusData (Moscow).


Making a Business Case for a Data Quality Investment
Data is a valuable asset, but how can one measure its actual value? The cost advantages of a data quality improvement project could be explained for the company management by way of assessing the feasibility of an investment in improving the quality of specific data.
Svetlana Bova (, Chief Data Officer, Managing Director, Vice-President; Alexei Natalenko (, Project Manager, IT Architecture Department, VTB.


Building Trust in Clinical Data
The interest in business process hyper automation along with the growing use of AI in the Russian healthcare industry has led to uncovering the problem of controlling the risk of medical data corruption when creating and using clinical data. The developers of data quality assurance models, which serve as the basis of risk control systems, face a number of challenges.
Alexander Prozorov (, CTO; Mikhail Bionyshev (, Head of Excellence Center, RTLAB (Moscow).


5 Myths of Corporate Automation
The nationwide import substitution in Russia is accompanied by certain myths about corporate automation. Now is the time to stop believing myths like that and start forward-looking improvement using open-source solutions, domestically developed automation platforms and efficient tools from Russian vendors.
Viktor Fadeyev (, Jmix Platform Development Director (Samara).


Gazpromneft: On the Way to Unified Petrochemicals Supply Monitoring Ecosystem
Using the scalable AggreGate platform, Gazpromneft gas station chain has deployed a system that monitors all the stations’ equipment performance in real time, helping prevent business process disruptions.
Nikolai Smirnov (, freelance writer (Moscow).


AI Explained in Easy-to-Understand Way
These days, artificial intelligence has become the growth driver for many industries aiming to change society's way of life. Virtually on a daily basis, many experts now have to deal with AI projects-related issues and assess the necessary investments. Rosenergoatom Group has sponsored the publication of the book “Artificial intelligence. Analysis, trends, global expertise”, where major questions surrounding the subject matter are answered in a clear and easy-to-understand manner.
Dmitry Volkov (, senior fellow, M. V. Keldysh Institute of Applied Mathematics (Moscow).