Cloud and Big Data
Cloud computing and big data, while still in constant evolution, are proving to be the ideal combination. Together, they provide a cost effective and scalable infrastructure to support big data and business analytics. The cloud is ideally suited to provide big data computation power required for the processing of these large parallel data sets. Cloud can provide the flexible and agile computing platform required for big data.
Cloud computing and big data are an ideal combination. Together, they provide a solution which is both scalable and appropriate for big data and business analytics. Both the technologies aim to increase the revenue of the company while reducing the investment cost. While Cloud manages the local software, Big data helps in business decisions.
CloudComputing presents enabling and empowering capabilities, not only as a hosting platform for the IoT generated Big Data but also providing advanced processing and analytics in an economical, scalable, reliable, and agile manner.
Microsoft also has a strong cloud data warehousing strategy, with Azure SQL Data Warehouse.
There are multiple benefits of Big data analysis in Cloud:
- Improved analysis: Big Data analysis in the Cloud helps to integrate data from numerous sources resulting in better analysis. Cloud helps to integrate data from numerous sources.
- Simplified infrastructure: Data analysis is a tremendous job with data coming in volumes, velocity, variety, and value. As the Cloud computing provides flexible infrastructure, which we can scale according to the needs at the time, it is easy to manage workloads.
- Lowering costs: Cost of ownership is reduced due to the pay-per-use model of Cloud.
- Secrecy and privacy: These are two major concerns when dealing with enterprise data. Private Cloud Solution is elastic and scalable. Moreover, the cloud service provider can offer advanced level security control.