Case Study

Streaming Real- time Data Made Seamless with a Unified Data Architecture

Streaming Real- time Data Made Seamless with a Unified Data Architecture

Pages 4 Pages

A subscription TV network in Lebanon faced challenges managing massive daily data from set-top boxes, Wi-Fi infrastructure, and customer interactions. Aspire Systems built a unified cloud-based data ingest ecosystem handling 20M transactions per day, replacing legacy Oracle and Informatica systems. Using Hadoop, Kafka, Storm, AWS S3, Redshift, and HBase, the solution enabled real-time streaming, batch processing, scalable architecture, and secure storage. Benefits included streamlined operations, major cost savings, proactive monitoring, shared storage across divisions, and faster, more reliable decision-making through centralized data management.

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