How to Manage Data for Business Benefits

[sadiksojib35]

Data is the engine of progress and a source of competitive advantages. As their volume grows and information flows become more complex, centralized data storage facilities are turning into a black box. It is difficult to track the origin of information, determine those responsible for its quality, and ensure effective scaling.

In response to this, the Data Mesh approach emerged, offering norway whatsapp number data a decentralized data management model based on the concept of domain ownership of data (data products). Vadim Gorozhankin, senior systems analyst at IT_One, explained why the old principles of working with data are inconvenient and what is replacing them.

Subscribe to RB.RU in Telegram


Why the Traditional Approach to Working with Data Is Stopping Working
The traditional data management model involves a centralized department responsible for collecting, storing, processing, and analyzing data. Such a department receives requests from various business units, fulfills them, and produces analytical reports, ML models, and other data products.

The traditional model leads to problems that hinder effective work with data. Over time, a centralized data warehouse becomes a complex structure that loses transparency and the effectiveness of tracking the origin of data. It is difficult to understand what transformations the data has undergone and how this data is related to each other.

As data volumes grow and new sources of information emerge, the centralized model becomes cumbersome and inefficient. Adding new data and adapting it to business needs becomes a complex task.