Data Engineering Services on Azure Cloud for A Large Media & OTT Platform
About Client
The globally acclaimed Media and OTT streaming platform industry approached Aegis Softtech to address the existing challenges related to data processing, real-time analytics, and personalized user experience due to the growth of subscribers and content volume.
The company offers broad video content to lakhs of users globally on various devices. They stream content like movies, Sports, Documentaries, TV shows, and many more focusing on user personalization and content recommendations.
Problem Statement
The company decided to overcome the challenges with an efficient data engineering strategy and solutions of the Aegis Softtech team. The client had highlighted their pain points saying,
“We generate huge amounts of user data every day, but our systems cannot support it. Our existing data infrastructure struggles with live processing and personalized content recommendations, which impacts the user experience. We are looking for a unified and scalable data solution that addresses all our concerns”
Objectives
- Centralize all data into a unified platform and enable real-time data ingestion and processing.
- Personalize content recommendations and ad targeting.
- Reduce operational costs and optimize cloud infrastructure.
- Ensure regulatory compliance and data security.
Solution Offered
Aegis implemented a comprehensive data engineering transformation strategy that included centralizing data infrastructure, creating real-time processing pipelines, and establishing a strong data governance framework.
The Technology Stack Used
- Azure Data Lake Storage Gen2
- Azure Event Hubs
- Azure Data Factory
- Azure Synapse Analytics
- Azure Databricks
- Azure Machine Learning
- Power BI
- Azure Active Directory (AAD)
- Azure Key Vault
- Azure Monitor
- Azure Security Center
- Azure Reserved Instances
- Azure Cost Management
Development Process
- Migrated all existing data to Azure Data Lake Storage Gen2 for a centralized data repository.
- Set up Azure Event Hubs for real-time data ingestion of user interactions, streaming events, and external data feeds.
- Automated ETL processes with Azure Data Factory and deployed Azure Synapse Analytics.
- Used Azure Databricks for data engineering and machine learning model development.
- Built and trained machine learning models using Azure Machine Learning for content personalization.
- Integrated Power BI to track KPIs in real time.
- Enhanced data security with Azure Active Directory, Azure Key Vault, and role-based access controls.
- Implemented cost optimization measures using Azure Reserved Instances and Azure Cost Management.
Outcomes
The implemented solution brought several measurable improvements:
- Consolidation of 95% of data into a centralized platform.
- Real-time data streaming and processing leading to 40% quick decision making.
- User engagement has increased by 22% and growth in ad revenue from personalized recommendations is 12%.
- 98% system uptime during peak traffic, successfully supporting current business expansion.
- 27% reduction in operational expenses by optimizing cloud resource allocation.
- 18% improvement in operational efficiency via real-time business intelligence dashboards.
- 90% compliance coverage for key data protection regulations, minimizing legal and reputational risks.
Future Implications
The project sets the client up for growth, allowing them to easily scale as needed concerning subscribers and content.
Conclusion
The Media and OTT streaming platform has been successful in removing all the bottlenecks by adopting Azure Cloud and modern data engineering practices assisted by the Aegis Softtech Data Engineering Team.
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