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Installation, maintenance, and development of a data platform based on Arenadata solutions—ADB, ADH, ADPS, ADS, ADC—as well as platform migration to another OS
development of enterprise data warehouses and data lakes
E-commerce
2
5
the speed of decision-making has increased
by
by
labor costs for preparing reports have been reduced
times
times
Customer
The largest lottery company in Russia
CHALLENGES/FEATURES
total duration of the project – 3 months
There was no experience with Arenadata solutions.

The project included platform installation design, solution installation, scaling, testing of correct operation, and migration to another OS.
Design and install a data platform based on solutions from Arenadata - ADB, ADH, ADC, ADS and ADPS
Task
solution
Technical solution
1. Prepared documents for the installation of the data platform

2. For each system, prerequisites and distribution of cluster components among machines were created and agreed upon.

3. Completed OS setup, disk subsystem partitioning, and configuration of the necessary packages for installing each product.

4. Completed installation of ADB, ADH, ADS, ADPS and ADC products

5. Configured PXF profiles for loading data from external JDBC systems

6. Scaling of products to a larger number of machines

7. Migrated ADB and ADH products to other operating systems

8. Performed basic tuning of cluster parameters for better performance of solutions

9. Compiled instructions for detailed cluster installation and support
Result
Business values
A new data platform for solving a variety of company data needs—from regulatory reporting (ADB) to ad-hoc queries and advanced analytics/AI. Independence from imported and open-source solutions thanks to a domestic OS.
Using Arenadata, one of the de facto best and most modern data platforms on the Russian market, allowed the company to:
implement a data platform for various business tasks of the company based on data
implement an import-substituting solution from the register of domestic software for the tasks of generating regulatory reporting
use ADH for ad-hoc analytics tasks and data for various AI research
Use ADC's Data Catalog to catalog all data from the lake and improve the manageability and transparency of data management processes across the entire company
Based on the results:
the speed of making management decisions has doubled
Labor costs for preparing reports have been reduced by 5 times
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Development of software
and Big Data solutions
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