| Customers: Lamoda Product: Data Ocean Nova Data Platform Project date: 2025/05 - 2025/11
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2025: Data Ocean Nova Rollout
Lamoda and GlowByte are implementing Data Ocean Nova by Data Sapience, which announced this on December 5, 2025.
The implementation will create a high-performance data preparation environment and isolated sandboxes for data analytics tasks. The integrator in the project is GlowByte.
Before the start of the project, teams Data Science in Lamoda faced infrastructure restrictions within the existing cluster. Hadoop The key tasks at the start were the transfer of the main sales showcase for reporting purposes from DWH to the Lakehouse data platform Data Ocean Nova and the creation of the first sandboxes data for teams. The MVP Kontur assumed that the data platform would be deployed in the public cloud integrated and with Lamoda corporate services:, domain authentications centralized monitoring services, GitOps infrastructure and CI-/CD-pipes. Lakehouse architecture approached these problems, and Data Ocean Nova was chosen as the target product.
As part of the technology stack of the platform that solves Lamoda's problems, there are several solutions. Distributed Big Data ProcessingApache Spark allows teams to work with terabytes of product, user, and transaction data directly in sandboxes, performing complex transformations and aggregations to prepare training datacets. The Trino SQL engine provides fast interactive access to data from various sources (storage, databases, file systems) through a single SQL interface, allowing analysts to explore data without moving between environments.
Lakehouse-platform Data Ocean Nova, combining the capabilities of Apache Spark and Trino for the tasks of the fashion industry, offers a single place to store data with flexible opportunities for organizing workspaces. ML teams interact with consolidated information about customers, products and operations through powerful analytical engines. Thanks to the work of the GlowByte team and the functionality of the Data Ocean Nova solution of the Data Sapience Lamoda vendor, it is possible to quickly scale computing power for peak loads and at the same time provide quick access to data for experiments.
The Data Ocean Nova platform will speed up data processes within Lamoda, as well as provide development teams with the necessary tools to create new promising products and services based on AI agents and AutoML processes.
| The Lamoda team has historically had a wealth of experience with Spark within a wide range of tasks and the choice of an updated platform allowed us to focus on solving data problems and not waste time developing our own platform. MVP results showed that updated approaches when implementing architecture in the cloud can compete with on-premium solutions. We see the potential for working with the platform and certain growth points that we would also like to see in the next product releases, working closely with Data Sapience and GlowByte, "said Dmitry Krivolapov, CDO, Lamoda. |
| Together with Lamoda, we create a high-performance data base. Data Ocean Nova vendor Data Sapience's universal Lakehouse platform lays the foundation for the future development of the company's data-driven products. This will allow Lamoda specialists to focus on creating ML models and innovative services, and not on solving infrastructure problems, - said Danil Pobirsky, project manager, GlowByte. |
| Lakehouse-platform Data Ocean Nova was chosen by Lamoda as the foundation for building a modern data architecture, and we see this as confirmation of the maturity of our product. The solution offers the fashion retailer a universal tool for monetizing data at all stages: from operational analytics to the deployment of ML services. The Lamoda, GlowByte and Data Sapience project is a clear example of how Russian technology allows companies not only to replace foreign counterparts, but to make a qualitative leap in efficiency through the introduction of a domestic solution, "added Evgeny Vilkov, Technical Director of Data Ocean Nova, Data Sapience. |
