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Oil and Gas Industry
Amazon EMR, Apache Spark, Amazon S3, Amazon Redshift, Amazon MSK, Amazon SQS
Big Data Analytics and Processing Platform using Amazon EMR and Apache Spark for automated data ingestion, transformation, analytics, and reporting.
Oil Corporation Limited, a diversified, integrated energy major with presence in almost all the streams of oil, gas, petrochemicals, and alternative energy sources, a world of high-caliber people, technologies, and advanced R&D, a world of best practices, quality-consciousness, and transparency, and a world where energy in all its forms is tapped most responsibly and delivered to the consumers most affordably.
Faster Data Processing
Automated Analytics Pipelines
Real-time Data Ingestion from Retail Outlets
Before implementing the EMR-based analytics platform, the organization struggled to process massive data generated across its retail network. Traditional batch systems were slow, frequently timed out, and could not scale for continuous data from thousands of DUs, tanks, and nozzles. Complex analytics, real-time Kafka/MSK streaming workloads, and fragmented ETL pipelines led to delayed insights, inconsistent data quality, and scalability challenges, creating the need for a centralized high-performance big data platform.
Delivered 10x faster data processing, real-time ingestion from 5000+ retail outlets, and 200+ automated analytics pipelines through a centralized Big Data platform using Amazon EMR and Apache Spark.
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