Regulatory Reporting Obligation Compliance

We developed a cloud-based data processing system for Las Vegas Casino, enabling real-time sports betting data analysis and fast, regulatory-compliant reporting.

1B+

records processed

60%

faster report generation

40%

faster data processing

50%

less manual work

Data and Information Management / IGaming / Online Sports Betting / Service Sector

Client Description

Las Vegas Casino Zrt. operates several casinos in Budapest, offering a variety of games such as slot machines, card games, and roulette. In addition to their online casino services, players also have the option to engage in online sports betting. It is one of Hungary’s largest casino operators, attracting both local and international guests. The company plays an important role in the country’s entertainment industry and operates under government licenses with strict regulations.

Project General Description

The growing volume of data in the sports betting industry, coupled with tightening regulatory frameworks, presents new challenges for service providers. We introduce an innovative solution that combines the latest cloud-based technologies with full compliance to legal requirements. This system not only enables efficient data processing but also ensures complete adherence to the reporting obligations mandated by regulatory authorities.

Challenge

The main objective of the project was the real-time processing, analysis, and presentation of a large volume of sports betting data from various source systems through a predefined report.

For data storage and management, the choice was made to use Delta Lakehouse technology based on the client’s requirements. This modern solution combines the structured data management of traditional data warehouses with the flexibility and scalability of data lakes. Delta Lakehouse allows for the simultaneous storage and analysis of structured and unstructured data, simplifying the handling of complex sports betting data.

Despite the billions of records of sports betting data, the system must be capable of providing extremely low response times during report execution.

The project required close collaboration with international partners and service providers to ensure its success. As part of this collaboration, we developed common data formats and communication protocols that enable seamless data exchange among partners operating in different countries.

How we helped?

Data Source Identification: The system can receive data from various sources, including sports betting providers’ APIs, historical databases, and external data providers.

Data Collection: Using RabbitMQ, we receive real-time data streams, ensuring continuous and reliable data flow from sports betting providers.

Processing: The Apache Spark cluster enables parallel processing of large volumes of data, ensuring system scalability and performance.

Storage: Delta Lake technology supports the storage of both structured and unstructured data, providing data versioning and ensuring ACID transaction properties.

Analysis and Reporting: The Azure SQL layer enables complex queries and analyses, allowing the generation of accurate and up-to-date reports for regulatory authorities.

Azure Synapse Microsoft Azure Microsoft Power BI Python RabbitMQ