Business Intelligence & Data Analytics
Data Processing & Transformation
Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy. With years of expertise in big data processing, Inspur professionals can help you process big data efficiently and reliably through below services:
Big Data Strategic Roadmap
Clear direction and support for emerging Big Data technologies and frameworks.
Analytics-as-a-Service
A cost effective and smart way to investigate/prove if Big Data and Analytics will work for your company. This offering gives you an understanding of how you will be able to leverage structured, semi-structured and unstructured data within and outside of your company in a small scale validation implementation, either onsite or offsite.
Big Data Use Case Framework
Ability to leverage high volume, velocity and variety of data to develop new previously difficult to achieve insights into streaming and unstructured data to make informed decisions about new channels, products and customers.
Big Data architecture and its alignment to existing Data Warehousing / BI setup
Ability to query and manage high volume of data efficiency and cost effectively, while understanding how Big Data will and plays an important part in your existing DW/BI program. It will also clearly set the steps needed toward a Big Data Analytics future for your program.
Implementation of Hadoop Technologies
Set yourself apart with an implementation of a Big Data stack that will give you the benefit of reduced costs for storing and managing data while taking you to the next step of being able to combine various sources into actionable insights.
Big Data Lake
Inspur offers an entirely new way of thinking about how to store and manage data, this big data solution can help you realize 30-50% cost savings compared to traditional EDWs.