People who operate in IT industry know very well that the sudden growth of data is the biggest challenge of many organizations today. Cloud technology is an effective, mainstream solution for data processing, storage and distribution. However, dealing with a large volume of data has become a challenge to the cloud. Cloud service providers understand that they have to provide more than just storing the simple data as it is insufficient for their customers. They should also help the organizations managing their big data processing to fulfill their needs.
Generally organizations have to manage large volume of complex data. They always find difficulties in retrieving, examining and processing big data. They have used third-party data processing services for several years, because they don’t want to invest in internal systems and employees in collecting, comparing and interpreting data by themselves.
Structured Vs Unstructured data
An enterprise chooses a technical stack based on the type of data to be stored and the type of data specified by business requirements. The Relational Database Management System(RDBMS) is perfect for managing structured and highly relational data and so it is continued to be the software of choice for many businesses. All data stored in an RDBMS is structured. They are clean, sorted and easy to understand. Hence many organizations use RDBMS framework for their data. That makes it good for some work but bad at others.
On the other hand, the amount of unstructured data has grown bigger because of social media networking sites. Unstructured data usually contain the data which constantly change. The size of unstructured data can be in terabytes or even petabytes.
Organizations have developed their data architecture and storage policies work precisely with structured data. Whereas, unstructured data does not fit the RDBMS framework. The issue is how to process the data beyond simply retrieving and storing it.
The Hybrid Cloud Model
Businesses can get an enhanced value from data through the big data analytics supported by cloud technology. The raise in unstructured data means that ways to support the benefits of hybrid cloud and big data are more crucial than ever before. The hybrid cloud model can help organizations address security concerns in the private cloud, while taking the advantage of public cloud infrastructure for analytics services.
Approximately 2.5 billion gigabytes of data is created every day, including 200 millions tweets and 30 billion messages shared on Facebook each month. By the year 2020, it will reach 43 trillion gigabytes along with 6 billion people owning cell phones.
Cloud technology and Big Data
Cloud technology and big data are proving to be a great combination. Together, they provide a cost-effective and scalable solution to process big data and business analytics. Cloud computing is not only for the large organizations, small and medium level organizations can also make use of it.
If you deal with very big data in your organization, think about the benefits of new computing power at unbelievable prices using cloud technology. When the old structured data model is moved to the world of unstructured data, it can access information resources and get the competitive advantage of analytics payback. Moreover, you can just concentrate on the core function of your business and drive value for your business instead of spending your time in managing big data.
Cloud Storage Service
Cloud Storage Service is growing rapidly. Many Small Medium company tend to outsource the server backup solution to Cloud Storage Company in order to reduce the maintenance cost. Individual user use it to replace the external hard drive for a more secure file backup solution.