COVER FEATURE
_300x.jpg)
DATA GOVERNANCE
Overcoming Data Chaos
How does one get the weighted average interest rate on loan agreements? The evolution of corporate IT architecture and consequential growth of complexity, for which neither technologies nor methodologies offer a cure, have led businesses to being unable to answer this seemingly simple question.
Alexander Tutunnik (atutunnik@luxms.ru), Business Development Director, Dmitry Dorofeyev (ddorofeev@luxms.ru), Design Manager, Luxms Group (Saint Petersburg).
Data as a Product
Establishing a data economy means a transition to generating data as a product, which in turn requires the use of quality management principles and methodology for governing the quality of data. In this context, supply chain optimization methods are of particular interest, especially in relation to the growing popularity of the Data Mesh paradigm.
Nikolay Skvortsov (n.skvortsov@1c-datalogic.ru), Head of Methodology, 1C: Logika Dannykh (Moscow).
Data Governance Being a Part of Corporate Culture
Thanks to implementing data governance principles in OTP Bank, data is now treated as a strategic asset in the organization, while data governance itself has become a part of the bank’s corporate culture.
Nikolai Smirnov (nsmirnov@osp.ru), freelance writer (Moscow).
PLATFORMS
Platform as a Business, or a Business Based on a Platform?
Platform as a business, or e-commerce: a strategic choice in the digital era.
Present-day businesses often face the choice between developing the classic e-commerce model and transforming the company into a platform business. Attempting to use both models at once leads to drops in efficiency and lost opportunities. What should business owners, investors, and corporate strategists do to avoid problems when choosing a business model as well as IT tools, and company growth plans? The examples of Amazon, Alibaba and Walmart show that separating the platform from businesses it underpins is not just an organizational measure, but a strategic necessity.
Andrei Kukushko (a.kukushko@mail.ru), Digital Strategy, Business Design, and AI Tool Use Expert, Skolkovo Management School (Moscow).
SECURITY
Vulnerabilities and Protection of Blockchain Based Systems
The article examines main vulnerabilities of cryptocurrency blockchain systems, systematizing and ranking them up based on the level of potential damage and the likelihood of a security breach. Statistics on the number of scientific articles on the topic in both foreign and Russian sources are presented, along with data on the number of hacks and the damage caused to blockchain networks over the past seven years. Main methods of protection against these vulnerabilities are defined, main development directions for security systems based on the distributed registry technology are discussed.
Nikita Vilakov (nikitavilakov@mail.ru), postgrad student, Mikhail Bocharov (mibocharov@mail.ru), assistant professor, Data Analysis and Machine Learning Department, Finance University under the Government of the Russian Federation (Moscow).
Sorting the Wheat from the Chaff: aIDeepFake
In an era where AI language models are increasingly used to generate content, there is a growing risk of that content having hidden deliberate or accidental errors, bias, and misinformation. Therefore, affordable tools for filtering, semantic analysis, and visualization are needed that can help to “sort the wheat from the chaff.”
Nikolai Smirnov (nsmirnov@osp.ru), freelance writer (Moscow).
DBMS
A Two-in-One: Cloud-Based Distributed Multi-tenant Relational and Streaming Database
Today, PostgreSQL—a prominent transactional database—and ClickHouse—a leading analytics database—have both become industry standards. Still, users need tools for concurrent real-time access to a shared data array that support both transactional and analytic workloads. The Cloud X Stratus DB system is designed to be an out-of-the-box cloud-based distributed multi-tenant solution combining transactional and analytics databases that are synchronized with each other.
Vladimir Pugachev (PugachevVV@cloudx.group), Chief Big Data Architect, Cloud X (Moscow).
OS MEETING ROOM
Self Service Platform for Multidimensional Big Data Analysis
In Russia, there is currently no tool for the multidimensional analysis of vast data amounts that cannot be placed all at once in the memory of a single server. Neither there are such tools, at least affordable ones, in the Western markets.
Mikhail Zyrianov (mikez@osp.ru), Editorial Director, OSP.RU (Moscow).
OS ACADEMY
Base Data Types Support as the Staple of Longevity of Real-Time Control Systems
Created over a half-century ago, the Soviet-era 5E26 computer has successfully stood the test of time: thanks to clever architectural decisions regarding the data representation, the machine is still being used in the present-day real-time control systems.
Leonid Karpov (mak@ispras.ru), lead scientist, V. P. Ivannikov Institute for System Programming of the Russian Academy of Sciences, M. V. Lomonosov Moscow State University (Moscow).
