Next Generation Cloud Analytics With Amazon Redshift
Amazon Redshift is changing the way companies are collecting and storing big data. Companies like Amazon can influence the control of cloud computing for data warehouse purposes. This Amazon cloud solution allows corporations to apply date warehousing more effectively than ever. Redshift is Amazon’s storage solution that allows business owners cloud computing for data to move their date warehouse to the cloud for much less than outmoded options.
The main focus is on “storage”, and Redshift is prepared to meet your date warehouse needs. The accessible cost options are captivating. With no long-term commitments or up-front expenditure, Amazon provides “pay as you go” pricing giving you the freedom to choose as much storage as you need. It’s not always easy to get the requirements for the resources. You may distribute fewer resources than needed, or you could allocate unnecessary resources and not take full advantage of the return on your investment.
Amazon cloud solutions allows for flexibility so you can keep the right balance. If you decide to terminate your relationship with Amazon Redshift, you can cancel any time. it has opened doors for small businesses to make use of big data analysis and data warehousing without a large increase in price.
Amazon Redshift is built on SQL database technology. What does this mean for you? Compatibility. Nearly all SQL drivers, and compatible tools can be used. As soon as your data is downloaded onto Redshift, existing applications new web services can are easy to utilize.
Amazon has done it again with its amazing scalability compared to other data warehouses. For those of you needed to leverage big data, Redshift is easy to use. Now everyone can control big data in the cloud to open the way to a better tomorrow. Amazon Redshift cloud analytics… for the next generation.
Business use cases for BI and Analytics on Cloud
There are several operational and financial factors that work in favor of Cloud Business Intelligence (BI).
The key being:
• Speed of Implementation and Deployment: Immediate availability of environment without any dependence on the long periods associated with infrastructure procurement, application deployment, etc. drastically reduces the BI implementation time window.
• Elasticity: Leverage the massive computing power available on the Web, scale up and scale down based on changing requirements.
• Focus on Core Strength: Outsource running of BI apps and focus on their core capabilities.
• Lower Total Cost of Ownership: Convert some part of capital expenditure to operational expenditure, cost-effective pricing models, pay per use model, etc.