Industry: Social Media, Data Analytics
Technology: Microsoft Azure Cloud Platform, Social Media, MVC, Java Play based Web API, AngularJS, HighCharts, Talend
Problem statement:
- Fetching, Analyzing and Storing metadata wrt to posts, like, shares and conversations of users within networks of the respective organization where each network have 20000+ users on an average.
- Currently Processing 80,000+ txn/day and 80+ networks with growth trends indicating 80,000,000+ txn/day and approx 80,000 networks in next 6 – 12 months.
- Updating the data on daily basis with rate limitations of pulling data.
- Provide APIs to read & churn these data to provide insights to the users.
Core Challenges:
- Understanding the various social networks APIs.
- Fast Data processing for such a voluminous data within 24 hours while we know that our services will get multi-fold in next 2 qtr.
- Creating APIs and analytics for these data
Our Solution:
- Microsoft Azure Cloud based distributed instances across multiple affinity groups & regions.
- Securing the environment using Azure NSG & VNET and setting up governance around Data Security, Server Security, Network Security, Database Access
- Data Analytics using Talend
- API based on Java Play Web API and secured authentication.
Success/Benefits:
- Availability of social media user data onto a common social dashboard for the subscriber company to review and take actions.
- High Performance Web APIs built to consume by external platforms.
- Ability to auto scale up/down as per the traffic
To know more write to consulting@giggsol.com or visit http://giggsol.com
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