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Data Lake Implementation for Live Gaming App "Brainbaazi"

Client Background

Brainbaazi, a popular live gaming app, offers interactive trivia and quiz games to users. With a large user base and real-time gameplay, Brainbaazi sought to enhance its data processing capabilities to improve user experience, personalize content, and optimize operations.

Industry

Gaming

Launch Timeline

3 Months

Country

India

Client Objectives

Real-time Data Processing: Implement a solution for real-time processing of user interactions, game events, and user-generated content.

Data Centralization: Create a centralized repository for all types of data, including structured, semi-structured, and unstructured data.

Scalability and Performance: Ensure the solution can handle large volumes of data and scale seamlessly with user growth.

Analytics and Insights: Enable advanced analytics and insights generation to enhance user engagement and game performance.

Cost Efficiency: Optimize costs by leveraging efficient data processing and storage technologies

Solution Overview

Dew Solutions collaborated with Brainbaazi to design and implement a Data Lake solution using a combination of technologies, including Kafka, Hazelcast, and Amazon Redshift.

Data Collection
Data Processing
Data Storage
Data Visualization and Analytics
Data Collection

  • Kafka: Used as the streaming platform to collect real-time data from user interactions, game events, and other sources.
  • Custom Collectors: Developed custom collectors to capture user-generated content, feedback, and other unstructured data.
  • Data Enrichment: Enriched raw data streams with contextual information to enhance analytics capabilities
Data Processing

  • Hazelcast: Utilized for in-memory data processing to handle real-time analytics, caching, and data aggregation.
  • Stream Processing: Implemented stream processing using Kafka Streams or similar technologies to process and analyze data in real-time.
  • Batch Processing: Used batch processing frameworks like Apache Spark for complex analytics and data transformations
Data Storage

  • Amazon S3: Used as the primary storage layer for the Data Lake, providing scalable, durable, and cost-effective storage for all types of data.
  • Amazon Redshift: Used for data warehousing and analytics, providing high-performance querying and scalability for complex analytics
Data Visualization and Analytics

  • Amazon Quicksight: Integrated for data visualization and business intelligence, providing interactive dashboards and reports for decision-makers.
  • Custom Dashboards: Developed custom dashboards using web-based technologies for real-time monitoring and analysis

Key Features and Benefits

Real-time Data Processing

The Data Lake solution enabled Brainbaazi to process and analyze user interactions and game events in real-time, leading to more engaging and personalized gaming experiences

Scalability and Performance

Leveraging Kafka, Hazelcast, and Amazon Redshift, the solution provided scalability and high-performance data processing capabilities, handling the app’s growing user base and data volume

Cost Efficiency

By using cost-effective storage solutions like Amazon S3 and optimizing data processing workflows, Brainbaazi achieved cost efficiencies compared to traditional data processing solutions

Advanced Analytics

The solution enabled Brainbaazi to gain deeper insights into user behavior, game performance, and content preferences, allowing them to make data-driven decisions to improve the app’s performance and user engagement

Centralized Data Repository

The Data Lake provided a centralized repository for all types of data, making it easier for Brainbaazi to access, analyze, and derive insights from their data

Results

Improved User Engagement

The Data Lake implementation led to improved user engagement, as Brainbaazi was able to personalize content and interactions based on real-time user data

Enhanced Game Performance

By analyzing game events and user feedback in real-time, Brainbaazi was able to optimize game mechanics and improve overall game performance

Data-Driven Decision Making

The Data Lake empowered Brainbaazi with data-driven decision-making capabilities, enabling them to continuously improve the app’s performance and user experience

Conclusion

The Data Lake implementation for Brainbaazi has transformed the app’s data processing capabilities, enabling real-time analytics, personalized content delivery, and cost-efficient data storage and processing. By leveraging technologies like Kafka, Hazelcast, and Amazon Redshift, Brainbaazi has been able to enhance user engagement, optimize game performance, and make informed, data-driven decisions to drive the app’s success in the competitive live gaming market

Success Stories

A Glimpse of some of our Big Data, Data Science and Data Engineering work

Data Lake | Live Gaming App

End-to-end Big data solution for Live gaming application for a large Internet Company

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Data Lake | Live Gaming App
Data Lake & Data Warehouse

Data warehousing solution built over AWS and reporting over Tableau

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Data Flow Automation

Solution to automate the entire processing of data and make the data accessible real time for business to visualise over Tableau

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Cross Walk

Solution to capture trend of users hopping to different internet properties across same & different sessions so that the business can visualise the trends and take actions to boost traffic

Learn More
More Success Stories

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