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Over the years, DataArt completely reconfigured the system’s core, adding more data providers, sports data, video streaming, and developing a central engine for data aggregation and processing. The enhanced system covers over a dozen popular sports, including global and local events in markets where the client operates.
The platform collects streams from multiple vendors, maps them to operators, and delivers live video to fans regarding their plan, location, and other rules. Additionally, the platform allows fans to make future or in-play bets.

Working closely with the client’s in-house team, DataArt equipped the platform with game visualizations and a horse racing video archive. Presently, enthusiasts can access stored videos featuring horses that took part in the ongoing race, enabling them to make better-informed decisions.
DataArt introduced a Java-based application that works with numerous video APIs enabling fans to play videos from live streams or archived streams and access event statistics from any location on any device.
A video player supports multiple formats like HLS (HTTP Live Streaming), DASH (Dynamic Adaptive Streaming over HTTP), and embedded players from third-party providers. A platform helps omit data inconsistencies between various streaming vendors and detect the same event described with different or identical IDs.
The core stack of the video backend includes VHS (Video Schedule Handler) and VRA (Video Retrieval API). The VHS aggregates data from 3rd party providers and maps them directly to the database. The VRA then uses this mapped entity to return the stream information and necessary data to fans and helps schedule sporting events. Fans can get all the streams available on the system at an given time, or the client can just plan what they would like to show to their fans.
To integrate VHS and VRA, our experts applied the Kafka streams approach (Kafka is a stream-processing platform famous for its high-performance data pipelines) instead of mapping the information directly from a database. Implementing this approach assisted us in reducing the burden on the database and in making the Video Schedule Handler less reliant on it.
DataArt experts also implemented a VQA, Video Qualification API. This API is used to qualify streams against third-party services. The VQA retrieves qualification information about particular fans, what streams or visualizations they are qualified to watch, what content is restricted to them, and what they should do to pass qualification. For instance, fans need to add a minimum betting amount to watch streams for certain sports events.
A Video Admin Service provides a user-friendly console operators can use to modify video streams, delete redundant streams, ban competitions for specific sports events, and modify video configurations. For example, operators can change a video format from HLS to DASH streams in real-time to provide a better experience for their fans. The Video Admin API provides a second layer of data mapping and allows for creating new streams in case VHS fails.

The platform supports several visualization providers delivering statistics for sports, including soccer, basketball, tennis, and others. Fans can see a schematic image of the field along with data on the real-time progress of the game that constantly updates throughout the match. This data includes goals, shots, attacks, shooting accuracy, penalties, and more. Visualization helps boost fan engagement and nudge fans to bet more since fans can simultaneously watch the stream and access valuable information to place their bets.

DataArt experts created several elements that help fans derive statistics from the previous races to make an informed decision regarding their bets. The Forms and Results API, as well as the Greyhound application, compile statistics for horse racing and Greyhound racing, respectively. A fan can see a schedule with upcoming races enriched with information on a jockey, a trainer, the horse’s age and weight, the track’s type, and more.
Video Race Archive allows fans to find recorded streams for a particular team, player, or so that fans can track and analyze the performance of their favorites throughout the years.
DataArt assisted the client in improving the foundational system and diversifying into new markets. The novel live-streaming platform can cater to more than 20 third-party providers and manage an average of 10,000 sporting events daily. Enthusiasts can enjoy real-time and stored streams in various formats, live game visualization, and race statistics.
Our team will reach out within 24 hours to gather your project requirements, clarify your business objectives, and outline the next steps in our collaboration.
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