ProCogia scaled company’s data processing capabilities
Company Information
A leading telecom operator faced challenges in scaling its data processing operations to meet increasing demands efficiently. With an existing infrastructure that could not adequately accommodate rapid team fluctuations or predict future processing needs, the company sought ProCogia’s expertise to revolutionize its data handling capabilities. The goal was to achieve high scalability, availability, and performance in data processing while optimizing costs.
The Challenge
The telecom operator’s primary challenges included managing the scalability of data processing jobs to accommodate fluctuating demands and reducing the operational costs associated with maintaining and running data processing infrastructure. The company required a solution that could dynamically scale resources, improve job throughput times, and significantly reduce maintenance and hardware expenses.
Procogia’s Approach
Collaborated with stakeholders to understand the current processing jobs & predict future demand based on team fluctuations
Configured the auto-scaling feature of EMR to run the client’s Spark jobs freeing up client’s FTEs. This saved resources by terminating the EMR clusters as soon as the job completed.
Implemented AWS EMR, a cluster platform running Spark and Hadoop which enabled teams to analyze large amounts of data with auto-scaling capabilities
Additional cost-savings were realized through utilizing EMR spot instances instead of the on-demand reserved or dedicated instances.
The Results
ProCogia provided the client an environment that had the features they required to process data with high scalability, high availability, and optimized performance.
The leading telecom client is now able to process a high throughput of jobs in less time while saving on maintenance and hardware costs.
Services Used
Data Consultancy
We provide data consultancy to organizations to optimize your investment in people, processes, and technology. This is typically through data strategy engagements, roadmaps, transformations, and independent technology advice.
Cloud Data Engineering
We partner with all major cloud providers, allowing us to adopt a data-agnostic approach focused on delivering tailored game-changing solutions.
Data Operations (DataOps)
We build robust, scalable, and enterprising data environments that enhance the collaboration between data science teams.
Conclusion
Through strategic cloud engineering and the implementation of AWS EMR, ProCogia significantly enhanced the data processing capabilities of a major telecom operator. This collaboration not only optimized the client’s data processing operations for scalability and cost-efficiency but also positioned them for future growth and demand fluctuations. ProCogia’s expertise in cloud data engineering and its holistic approach to data consultancy and operations underscored its role as a pivotal partner in enabling the telecom operator to achieve operational excellence and maintain a competitive edge in the industry.
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