Analytics Engineering

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Designing analytical data warehouses

  • Organizing storage, preparation, and analysis of data from scratch
  • Building highly loaded analytical data warehouses with Kafka
  • Building architecture for your data warehouse

ETL processes

  • Building microservices for information input/output
  • Building ETL processes for data processing and storing
  • Building quality monitoring systems for data storage

Microservices for data collection

  • Building microservices for data collection from external sources (API)

Case Study

We’ve successfully implemented projects for large well-established companies as well as emerging startups.

Betpawa

Online betting, Estonia

Valiotti Analytics has wonderful people and professionals in their team. Our company required technical assistance in maintaining and developing the existing data warehouse. Data experts from Valiotti quickly grasped the essence of the project and since then the team has been the strongest support for our analytics department. Many tests have been successfully passed and no less awaits us ahead. We sincerely look forward to further collaboration with such an excellent team. Thanks very much!

Kirill Vassiljev

Head of Business Intelligence, Betpawa

Client's goal

Replacing a data engineer and supporting data engineering processes based on ClickHouse.

Our Approach

Studied the structure of the storage, rewrote DAGs in Airflow to work on the current scripts that optimize data storage, and provided the functioning of regular updating of the database.

The Result

Built data engineering workflows using Airflow and ClickHouse. Organized constant support of the store in an up-to-date condition.

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