How To Use AWS For Big Data?
AWS for Big Data: Each day, data becomes more valuable and can become an organization’s most expensive asset. With them, it is possible to see future problems, propose solutions, reduce risks and make the right decisions.
However, it is necessary to study, process and analyze the information from the crossing of data to reach effective results. This is possible through big data, a solution capable of processing millions of varied data in a short time.
Big data tools are indispensable for defining strategies in the business world, especially in marketing, sales and new product development. The investment pays for itself with increased productivity – and more assertive decision-making for the organization.
But for the technology to work, it must run on an agile platform with ample storage space. In this context, AWS might be a perfect choice.
But What Is AWS Anyway?
AWS is the acronym for Amazon Web Services, one of the cloud computing services offered by Amazon. The objective is to provide customers with the maximum benefit from using the remote platform, spending much less than a traditional solution.
This way, AWS uses a secure and efficient public cloud environment, sharing its resources and popularizing access to the small structure. All this aims to reduce costs and make the price more accessible to the customer.
Through virtualization, it is possible to run a series of software, platforms and systems since the service provides complete and complementary solutions, helping IT in all its difficulties of infrastructure, management and productivity resources.
The data storage platform and cloud environment provide several advantages for working with big data. Let’s go to them:
AWS allows you to grow according to the demands and needs of your business. In this sense, it is accessible to all companies, from startups to multinationals, providing quick access through various devices, such as cell phones, tablets or notebooks.
With AWS services, you only pay for what you use. As it is server-based, space quotas are charged as needed, allowing for a decrease or increase in computing capacity at any time, depending on the demands of each contract.
The AWS operating system allows the customer to define the programming model that best fits their business model. Thus, developers choose which services to apply and can focus more on innovation rather than the infrastructure size.
AWS was designed to be one of the most flexible and secure cloud computing environments. It offers advanced and robust protection features such as 24/7 access to data experts, a built-in firewall, IAM services that track user access, multi-factor authentication, and encrypted data.
Making Big Data Work On The AWS Platform
Amazon Web Services provides a broad, fully integrated portfolio of cloud computing services to help IT build, secure, and deploy their big data applications.
With it, there is no need to buy equipment or change the scale of the infrastructure, which can be seen as an opportunity to allocate resources in other areas.
In addition, AWS is constantly adding new functionality to its packages, ensuring that you always use the latest technology without paying extra. By running big data on the platform, the company enjoys all the benefits of technology and other advantages.
Most big data technologies require large clusters of servers, resulting in long setup times. With AWS, it is possible to implement the infrastructure immediately, helping the teams’ productivity and agility in the implementation of the projects.
Wide And Deep Platform
A broad and deep platform enables the developer to build virtually any extensive data application as it will support any workload, regardless of data volume, speed and variety.
Reliability And Security
AWS protects ample data assets without losing agility. That’s because the platform offers capabilities to meet the most stringent requirements of facilities, networks, software and business processes.