Client Overview
Our client is a mobile game development company specializing in creating accessible and engaging games. Our client focuses on creating high-quality and enjoyable gaming experience for their users.
Business Challenges Faced by the Mobile Game Development Company
With an extensive portfolio of mobile games, our client – the game app developer company relies heavily on large-scale data ingestion and real-time analytics to track player behavior, game performance, and operational metrics. These are some of the challenges they faced:
Inefficient Data Ingestion
Our client faced challenges ingesting and processing large, real-time volumes of data from diverse sources within their existing infrastructure. Additionally, the process of transferring and preparing data from Amazon S3 for data analysis proved to be cumbersome and time-consuming.
Slow Real-Time ETL Operations
Our client needed near real-time ETL operations to handle high-priority stats for operational efficiency, but their existing system could not meet the demands.
Lack of Performance Scalability
As the data load and query demands increased, the existing system failed to scale efficiently, especially when it came to running complex and medium-level queries, which impacted overall performance.
Operational Complexity
Managing data ingestion and query processing across different platforms led to operational complexity, increasing maintenance overheads for the client and reducing agility.
Kasmo’s Solutions for The Mobile Game Development Company
Our experts understood these challenges and leveraged Snowflake AI Data Cloud to provide solutions to the client. Here are some of the solutions which Kasmo created for our client:
Seamless Data Migration & Ingestion
Kasmo successfully migrated 10TB of hist`orical data from Amazon S3 to Snowflake, ensuring seamless and efficient data transfer. Our experts built scalable pipelines for near real-time ETL operations, with a focus on prioritizing data ingestion based on service-level agreements (SLAs) to meet different data processing needs.
Implemented SLA-driven ingestion priorities:
Enhanced Query Benchmarking and Concurrency
Kasmo benchmarked simple, medium, and complex queries from the existing system in Snowflake and enhanced performance. With Snowflake’s architecture our experts enabled faster query runtimes, concurrent query runs even under heavy data load, significantly improving the existing system.
Benefits Achieved by the Mobile Game Development Company
With Kasmo’s expertise and Snowflake’s capabilities, our client was able to achieve substantial improvements across various aspects of their data management and analytics operations:
Improved Data Ingestion
Our client got near real-time data availability after Kasmo’s successful data ingestion.
Scalability & Flexibility
With Snowflake’s elastic architecture, the client could scale the large datasets seamlessly. Now our client can handle growing data volumes and dynamic query loads without compromising performance in the future.
Simplified Data Management
By consolidating both data ingestion and query processing within a single platform, our client reduced operational complexity, allowing for more agile and efficient data management practices.
Faster Decision-Making
With faster data ingestion and improved query performance, our client can now gain faster insights into player behavior and operational metrics, enabling quicker, data-driven decision-making across the company.
