Abstract

Enterprises have been continuously studying and exploring data to gain insights and drive business decisions. Large enterprises have business intelligence systems for enabling business analytics. However, with growing competitions in the market, variety of data, and external factors, there is a need to bring in voluminous data into the enterprise and derive intelligence out of it to drive better decision-making. Big data involves managing high volume and variety of data that needs to be processed fast. In the big data world, data related to an enterprise will no longer be limited to ERP and internal systems, but will include internal and external data sources. The nature of the data can no longer be restricted to structured data alone, as the significance of unstructured data is increasing over time to drive business decisions. The data volume will be huge and diverse, requiring a careful design of the IT architecture. This study evaluates and assesses different storage technologies for such large enterprises, with the key considerations of type of storage, performance, security, cost, and big data integration support.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.