Infographic: Big Data in the Cloud

Introduction

Big Data and cloud computing are two technologies that have now entered mainstream industries of our current world. However, these two are not the same; Big Data represents content whereas cloud computing is infrastructure – the combination of both technologies can yield excellent results.

Because of the enormity and sensitivity of such data sets, it’s important to keep them in a secure and efficient environment: the Cloud! As cloud adoption spreads far and wide, the option for enterprises to embrace Big Data also increases. Worldwide Big Data market revenue for software & services is expected to increase to $103B by 2027, attaining a CAGR of 10.48% over this time period. The key market drivers for the growth in big data are the increase in the adoption of the Internet of Things and the growth in the global infrastructure-as-a-service market. Thanks to cloud computing, Big Data can be processed on your computer systems and laptops quite comfortably.

Let’s take a look at how exactly Big Data and cloud computing are compatible with each other and how beneficial are they for enterprises around the world.

Big Data & Cloud Computing Explained

In order to understand why both the technologies are often bundled together, you need to have a basic understanding of what Big Data and cloud computing are.
The most straightforward definition of Big Data is that it’s a large volume of data- think terabyte or petabyte or even more than that. Data can be either structured or unstructured. This data can be so extensive that it cannot be processed through traditional database and software techniques. As for cloud computing, in the shortest term, it means storing and accessing data, files, and programs over the Internet instead of the local computer’s hard drive. The cloud is a metaphor for the Internet.
Through hardware virtualization, cloud computing provides the option of storing significant amounts of data with the help of scalability, fault tolerance, and availability. This allows Big Data to be available, scalable, and fault-tolerant through cloud computing.

Advantages of Big Data & Cloud computing

Cloud computing and big data is an ideal combination as it provides a solution that is both scalable and accommodating for big data and business analytics. Imagine a world where all the information resources are easily accessible, and every aspect of life can benefit from this information. Let’s take a look at these advantages in detail:

1. Agility

The traditional method of storing and managing data is becoming outdated quickly. Setting up infrastructure is not only expensive but also time-consuming, as installing and running a server can take weeks. With cloud computing, it’s possible to provide any infrastructure with all the required resources almost instantly. A good cloud provider will companies to ensure that their work is always on the go without any hitches.

2. Elasticity

A cloud platform can dynamically expand to provide storage for ever-increasing data. Once the company gets the necessary insight from the data, storage space can be increased or reduced to accommodate the data as per the requirement.

3. Data processing

A large volume of data leads to the issue of how to process it efficiently. Social media alone generate a massive amount of unstructured data in various forms. With Big Data platforms, cloud computing makes the whole process easier and accessible to small, medium, and large enterprises.

4. Cost reduction with big data in the cloud

Cloud computing is a great solution for enterprises that wish to have a state-of-the-art technology running their operations under a limited budget. Maintaining a big data center to perform Big Data analytics can quickly drain an IT budget. Nowadays, companies have the option to avoid investing heavily in setting up the IT department and maintaining hardware infrastructure. With cloud computing, the responsibility shifts to the cloud providers, and the company only have to pay for the storage space and power consumption.

5. Reduced complexity
Any implementation of a big data solution requires several components and integrations. Cloud computing provides the option to automate these components, thus reducing complexity and enhancing the productivity of the Big Data analysis team.

Conclusion
Cloud computing provides enterprises with a cost-effective & flexible way to access a vast volume of information we call Big Data. Because of Big Data and cloud computing, it is now much easier to start an IT company than ever before. However, it is important to note that cloud-based big data analytics success depends on many factors. An important factor is a reliable cloud provider with extensive expertise, offering highly robust services. As a reputed IaaS provider, VEXXHOST ensures that our clients get the best cloud servers and services through our clouds. We provide OpenStack-based cloud solutions for a multitude of clients worldwide, including public clouds and dedicated and highly secure private cloud environments, ensuring utmost security and agility. 

Take advantage of our limited-time deal just to set up a one-time, OpenStack-based private cloud deployment – at 50% off! The cloud will be running on the latest OpenStack release, Wallaby, which allows you to run Kubernetes and VMs in the same environment, and can be deployed in your own data centers with your hardware. Furthermore, all these will be deployed and tested in under a month! 

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