Cloud Computing Vs Big Data will tell you about the key difference between cloud computing and big data based on uses, format, vendor, cost, job role, salary, and characteristics, etc.
Today large chunks of data are generated daily, there is dire need to manage this kind of data. It is one of the biggest challenges that big data face. Big data and Cloud computing are popular technologies used these days. Together Big data and Cloud computing make a good pair to work with. Both of these technologies provide a lot of things. Cloud helps various organizations in storing huge amounts of data where Big data enables the organization to find valuable business insights and take decisions accordingly. In this blog, we will discuss the differences between cloud computing and big data.
Differences between cloud computing and big data
| Features | Cloud Computing | Big Data |
| Definition | It provides resources (like computing, controlling tools, storage, databases, etc.) on demand | Big data can be harnessed to give huge chunks of data and give valuable business insights |
| Data Sources | It includes various services like SaaS, PaaS, IaaS | It includes data that can be structured, semi-structured or unstructured. |
| Uses | It makes the use of a huge range of network basically of cloud servers over the internet so that data and information can be processed and analyzed | It can be utilized either on-premises or we make use of cloud as well to discover latent patterns and achieve actionable insights into the business. |
| Format | Cloud computing is a new pattern to computing resources | It can take data, in any format. |
| Main Purpose | Data and information are stores on remote servers. | The huge volume of data and information are described through big data |
| Vendors | Vendors of cloud computing are: Google, Microsoft, Apple, Dell, IBM, Amazon Web Services | Vendors of Big Data are Cloudera, apache, MapR, Hortonworks |
| Cost | It is less cost-effective | It has a high cost due to its processing or storage |
|
Challenge |
Availability, transforming, security, charging model. Security is considered the biggest issue in the case of a private cloud. | Data Variety, data integration, data storage, data Gathering, Query Processing, Scalability, Mobility of data, are the various issues in it |
| Working | Cloud Computing is used to analyze the data and produce more is useful data | Internet is used to provide the data |
| Job roles | The main job roles in the cloud are
Cloud service provider, cloud resource administrator, cloud broker, cloud consumer, and cloud auditor |
The different job roles are a big data analyst, big data scientist, big data administrator |
| Salary | The salary of cloud analyst is about 100k/annum | The Salary of the big data analyst is about 80k/annum |
| Dependability | Cloud Computing requires big data for computing resources | Big Data can exist without cloud computing |
| Characteristics | On-demand Self-service
Broad Network Access Resource-pooling Rapid-elasticity |
Variety of data
Velocity-data production and processing speed Volume-Data size Veracity-Data Reliability and Trust Value- worth derived exploiting Big data
|
| Solutions | It provides infrastructural solutions | It provides data processing solutions |
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Conclusion
As said earlier Big data and cloud together make a good pair. Organizations need to focus that how these technologies will be used together. Both are beneficial in their ways. The future of data analysis and storage is Big data and Cloud computing. In this blog, we have discussed the differences between Cloud computing and Big data. If you are having any doubt feel free to ask me in the comment box.
