One of the most popular technologies in today’s information technology industry is big data and cloud computing. With these two technologies, business, education, healthcare, research & development… are developing rapidly and will bring various advantages to expand their field. SSo in this guide, we will study the main differences between these two types of technologies and make a choice: big data or cloud computing: Which is better?
Contents
What is Big Data?
“Big Data” stands for very large and growing amounts of data that a company or other organization collects but cannot examine with more conventional methods. Big data, both structured and unstructured, is often the raw material that businesses use to perform analytics to derive insights that can assist them in developing new solutions. more effective business strategy.
Features of Big Data
- Volume
Of course, the data has to be large to be of large volume and has to be collected from multiple sources. Businesses collect a lot of data in its raw, unclassified format, so it’s pushed through all sorts of tools and processors for better business insights. - Velocity
The rate at which new data is generated is called its “velocity” and is measured in bits per second. All data is transmitted online at unprecedented speed and must be analyzed systematically. To process raw data streams in real-time, all kinds of technologies are used. - Variety
“Diversity” refers to the many ways big data can be presented and the many sources a company can use. This includes cell phones, home appliances, social media, ticker data, and financial data. - Veracity
The lack of authenticity casts doubt on the reliability and accuracy of the data. The most reliable data is that which has been thoroughly cleaned. Businesses must connect, clean up, and transform their data across all of their systems in order for customers to trust it.
Pros
- Cost savings
- Make better decisions
- Better Sales Insights
- Increase productivity
- Improve customer service
Cons
- Incompatible tools
- Security and privacy concerns
- The rapid change in technology
- Specific hardware needs
What is Cloud Computing?
Cloud computing provides the infrastructure to collect data and information over the internet. Instead of a personal computer or a local server, it uses a series of remote servers to manage and process such huge volumes of data. It provides a platform to share a computer base to run programs. The term cloud refers to the internet in cloud computing, where the internet refers to a platform for storing data and running applications.
Features of Cloud Computing
- SaaS (Software as a Service): This service is primarily concerned with licensing software applications to users over the internet. It is a distribution model provided by third-party vendors to end users over the internet.
- PaaS (Platform as a Service): This is the most complex layer of cloud computing that shares some similarities with SaaS, but instead of licensing the software to users, it creates a platform for developers to deliver hardware and software tools, those basics are needed for application development.
- IaaS (Infrastructure as a Service): This is primarily a computing infrastructure where external cloud providers provide hardware on a pay-per-use basis. Simply put, they provide raw materials for IT and users only pay for the resources they use.
Pros
- Reliable data centers are updated with the latest hardware to maximize speed and efficiency.
- Gives companies flexibility and stress reduction in capacity planning.
- Allows for flexible growth
- Protect data, applications, and infrastructure from any potential threats that may arise.
- Makes data backup, disaster recovery, and business maintenance simpler and less expensive.
- Eliminates the need for IT administrators
- End users pay only a small subscription fee to their cloud provider or only for the resources they use.
- Automatically allocate resources based on your needs at any given time.
Cons
- Vendor lock
- Limited control
- Downtime for various reasons
- Requires a good Internet connection
The distinctions between cloud computing and big data
| Parameters of comparison | Big Data | Cloud Computing |
| Definition | Big data refers to data that is huge in size and also grows rapidly over time. | The on-demand accessibility of computing resources over the internet is referred to as cloud computing. |
| Type | Big data consists of semi-structured, unstructured, and structured data. | Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service are all examples of cloud computing services. |
| Characteristics | Data Volume, Data Rate, Data Variety, Data Authenticity, and Data Value are considered to be the 5 most important characteristics of Big Data. | On-demand IT resource availability, broad network accessibility, resource aggregation, elasticity, and measured services are considered key characteristics of cloud computing. |
| Function | Distributed computing is used to analyze data and extract useful information. | Internet is used to receive cloud-based services from different cloud providers. |
| Providers | Some of the big data generators include social media data, e-commerce data, weather station data, IoT sensor data, and more. | Some of the cloud providers that provide cloud computing services are Amazon Web Service (AWS), Microsoft Azure, Google Cloud Platform, IBM Cloud Services, and more. |
| Benefits | Reduce costs and time, increase data storage capacity, create innovative products, and make efficient decisions. | Offers opportunities for innovation as well as scalable economies and adaptive resources. Enables infrastructure to operate more efficiently. |
| Dependence | Big data can exist without cloud computing. | Big data is necessary |
Big data or cloud computing: Which is better?
Data is generally the lifeblood of business decisions in all market sectors and determining the quality of that decision will have a direct impact on the market position of any organization. Big data analytics helps organizations better manage their internal processes with greater efficiency and predictability, while reducing production and service delivery costs, and transferring that value to their customer. Cloud computing is the primary provider of the processing, storage, and computing power needed to turn that data into actionable insights.
The cloud will provide all the necessary platforms and infrastructure for real big data analytics. The on-demand scalability of the cloud will be invaluable for storing big data. The ability to rapidly provision IT resources in the cloud will also reduce the time to market for IT solutions built with big data. The cloud is just a metaphor that represents the internet. For example, if big data is the content, then cloud computing is the infrastructure.
Conclusion
The importance of both Big Data and Cloud Computing in our digital world should not be underestimated, to sum up. The two most popular terms right now in the ever-evolving area of IT (information technology) are Big Data and Cloud Computing. What makes Cloud Computing such a valuable tool for Big Data is the integration and virtualization of resources. By now, you probably have the answer to the question at the beginning of the article: big data or cloud computing: Which is better?
