HDFS in Hadoop architecture provides high throughput access to application data and Hadoop MapReduce provides YARN based parallel processing of large data sets. The basic principle of working behind Apache Hadoop is to break up unstructured data and distribute it into many parts for concurrent data analysis. Why use Hadoop technologies:
Managed Analytics for data driven Enterprises.
How can Managed Analytics model help enterprises take strategic competitive advantage? Analytics is often perceived as a beast to manage. Embarking on an analytics initiative can be very intimidating since it’s seen as complicated with heavy reliance on IT, expensive and difficult to manage and maintain these systems. Hadoop managed analytics model can help enterprises take strategic competitive advantage by understanding their data and how it can help benefit the performance of the business.
Why Enterprises need Analytics
- Growth and Sustainability
- New market opportunities
- Staying Focused
Challenges of delivering Analytics in an Enterprises
- Complexity
- Expensive
- Heavy reliance on IT
- Data Quality
- Organizational Readiness
How Managed Analytics model address the challenges and help Enterprises take strategic competitive advantage
- Complexity
- Total Cost of Ownership
- Reliance on IT
- Data Quality
- Enabling organizational readiness
Plug and play solution to work with the existing Enterprise solution SaaS Based Software
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