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The Challenges

Based in Germany, our client, is a leading Government regulated Public-broadcasting Institution. The company specializes in providing entertainment programs, music, science and cultural programs, feature films, regional information and documentaries. Its mission is to serve the public with programs offering entertainment, education and information.

The client wanted to modernize their existing legacy system to provide support for high-quality media broadcasting of more than 800 TV, radio, and live events per year across Germany. Their existing legacy system allows users to get registered for the event and upload relevant content for Live broadcasting. However, it had limited architectural support to manage structured and unstructured User Generated Content (UGC), such as large discrete media files, user information, word documents, PDF files, and audio content. The system uses on-premise SQL database approach to store UGC, which resulted in storage costs overhead of more than $7000/month. They wanted to minimize the storage costs and required a scalable and secure data management platform.

Also, the client’s legacy system can handle up to 300 user requests per minute only and breaks down, if the user load increases. One of their critical challenges was to avoid such major system breakdowns and downtime to serve on-demand needs seamlessly. Likewise, large discrete UGC data set meant significant security threats from malicious data and the current system had no latest security functionalities & updates to restrict such threats, which also resulted in major system breakdown. Also, the client was moderating media files manually on-premises, but with increase in number of user requests and media content, this task had become time-consuming and cumbersome. In addition to these, converting more than 300 media files into standard formats in a minute was a tedious task for the teams. They also wanted an engaging & intuitive custom user interface with unique layout, which would allow users to upload the content relevant to the specific event they register.

Big Data Analytics Solution using Azure PaaS

Azure Storage, Azure Health Monitor, Azure Traffic Manager, Azure Active Directory, Azure Media Service, Azure App Service

Our teams brought to the table a wide range of expertise and years of experience, in designing sustainable Data Management solution architectures, handling large volumes of discrete data, and unlocking business insights via Analytics capabilities. Using a plethora of Azure services via Azure PaaS, our Azure Big Data Analytics consultants at Saviant built the multi-tenant cloud solution. The teams empowered the company with robust Azure solution for managing large structure and unstructured data.

Big Data Analytics solution

Significant Solution Benefits

With the modernized solution based on Azure, the company was able to achieve many solution benefits including:

  • Cost-efficient Big Data Management(Go-Live ready) platform built using multiple storage components from Azure’s stable - Blobs, Table Storage, Document DB, and SQL database – were leveraged to create a platform-ready solution for Analytics. This also reduced monthly storage costs by 93% and increased storage capacity of more than 10 GB per day.
  • Highly secure data management capabilities using Azure Active Directory and Microsoft Antimalware to ensure secure access & identity management of users and to keep incoming data related security threats at bay. System uptime of 99.95% SLA for high-availability, auto-provisioning and auto-scalability. The solution can support more than 1000 concurrent user requests per minute.
  • Faster data access engine to retrieve required information from enormous volumes of large-scale discrete data using Azure Search. Real-time monitoring of Azure services was ensured by using Azure Health Monitor, which keeps a watch on the health of all cloud services leveraged in the solution.
  • Quick UGC Transcoding system to convert any video or audio into different formats, achieved using Azure Media Service. Face, Image, Emotion and Speech analytics engine to analyze & review media files before public release using Azure Cognitive services.
Azure based Big Data Analytics solution
Azure based Big Data Analytics solution architecture diagram
93%

reduced Storage costs with the Azure based Big Data Analytics solution, which supports high-quality media broadcasting of events across the Germany.

Result

Huge architectural support

to handle discrete data which includes media files, audio content, word documents, PDF files, user information and more.

Easy broadcast of 500 events/year

is made possible with the robust Big Data architecture that supports the Azure based Modernized system.

'Go-LIVE' within 3 months

was achieved by the company, with the system that supports high-quality media broadcasting of live events across Germany

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