What is Big Data?
Big data is not only a term used to refer to a large volume of data, but it also means a refreshing way to collect, store, organize and analyze various types of data. Large data can be explained as large volumes of data that are analyzed. with computers to identify trends, patterns and similarities. It is a terminology that explains large amounts of data (structured, semi-structured and unstructured) that can be processed to obtain valuable information.
Big Data handles massively structured, semi-structured or unstructured data for storage and processing for data analysis purposes. there are five aspects of big data that are described through 5v
- Volume – the amount of data
- Variety – different types of data
- Velocity – The speed of data flow in the system
- Value – the value of the data based on the information contained in
- Veracity: data confidentiality and availability of cloud computing offer services to users in a prepaid
Characteristics of Big Data
Big data is identified by certain important characteristics. These characteristics are data volume, variety, and speed. To qualify as big data, the data in question must be large. This data must be within the range of exabytes, petabytes or terabytes within a certain duration. In addition, it must come from a variety of sources, including sales records, results collected from experiments and Internet information.
In addition, the data cannot be called large data unless they are in a wide variety. Large data commonly comes from different types of files, such as structured data, transmission data, and unstructured data. Finally, large data is often analyzed at high speed (speed). Speed is an important feature of Big Data because Big Data analysis is continuously applied in different fields, such as artificial intelligence (AI) and machine learning.
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What is Cloud Computing?
Cloud Computing provides a virtual environment in which data/information can be collected over the Internet. This eliminates the use of a physical server since most of the data can be stored in the cloud separately with the help of virtualizations. The cloud also provides the platform used to share a computer installation to run programs..
way. cloud providers offer three main services, these services are described below:
- Infrastructure as a service (IAAS)
Here, the service provider offers all the infrastructure along with maintenance-related tasks
- Platform as a service (PAAS)
In this service, the cloud provider offers features such as object storage, time, queues, databases, etc. However, the responsibility for configuration and implementation tasks depends on the consumer
- Software as a service (SAAS)
This service is easier as it provides all the necessary configurations and the infrastructure provides IaaS for the platform and infrastructure.
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Big Data and Cloud Computing
| Basis for comparison | Cloud Computing | Big Data |
| What is it? | Computing Paradigm | Extremely large data sets |
| Best described by | Cloud computing consists of providing services on a network, especially on the Internet. The services can be software, a platform or an IT infrastructure. | 3 V’s – Speed, volume and variety To qualify your data as “Big Data”, the data set of interest must be illustrated with one or all of the previous V. |
| When to move to? | You can consider migrating to the cloud when you need to quickly deploy or scale applications or IT infrastructure while maintaining centralized access. Keeping IT operations in place requires diversion from your business, with cloud computing your focus remains on the business. | Big Data engineering is activated when traditional methods and frameworks are inefficient to handle large amounts of data. When we are analyzing petabyte data, a distributed framework is required along with parallel computing. |
| Benefits | Low maintenance costs, secure implementation, centralized platform, zero initial costs | High scalability (forever scale), cost-effective, parallelism, robust ecosystem |
| Vendors/Solutions Providers | Google, Amazon, Microsoft, IBM, Dell, Apple | Cloudera, MapR, HortonWorks, Apache |
Conclusion
Cloud computing and Big Data Analytics have really affected the way organizations work and humans operate. Cloud Computing provides benefits that are applicable to all sizes of companies and all types of people. Data is perceived as a characteristic and organizations strive to implement Hadoop to exploit this characteristic. It is interesting to know that, although these technologies have become a commonplace, companies continue to invest large amounts in R&D. We can expect further growth of Cloud Computing and Big Data Analytics in the coming years.