Challenge
The processing of sports betting data from RabbitMQ streams is handled using an Apache Spark cluster. This combination allows real-time processing of large volumes of odds and betting data. RabbitMQ ensures reliable data flow, while Apache Spark's parallel processing capabilities efficiently analyze the data at high speed.
Delta Lakehouse technology revolutionizes data storage and management in the sports betting industry. This modern solution merges the structured data management of traditional data warehouses with the flexibility and scalability of data lakes. Delta Lakehouse enables the simultaneous storage and analysis of both structured and unstructured data, which is crucial for handling complex sports betting data.
Despite managing billions of sports betting records, our system delivers extremely low response times during report execution.
Throughout the project, we established strong collaborations with international partners and service providers. This collaboration involved developing common data formats and communication protocols, facilitating seamless data exchange between partners operating in different countries.
How we helped?
- Data Source Identification
- The system can ingest 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 the system’s scalability and performance.
- Storage
- Delta Lake technology is suitable for storing both structured and unstructured data, providing version control and ensuring ACID transaction properties.
- Analysis and Reporting
- Through the Azure SQL layer, complex queries and analyses can be performed, generating accurate and up-to-date reports for regulatory authorities.