Data, data everywhere, ever wonder where? It’s become the life blood of the world we live in. Cloaked in invisibility or in the palm of our hands it’s there. Yet where does it live and why is there so much of it. It multiples by the smallest measure possible. Think about our reliance on Zoom and imagine how much data it generates and then multiply it by 365 days, and now think how quickly it grows, because of the data availability, we are using data constantly and generating more and more data each second.

Being part of the digital era and living in it where we are dependent on technology for anything and everything, on smartphones no wonder we are all getting the iPhone claw issue. Whatever the source, these huge types and volumes of data, raw data can’t be managed by traditional computer resources and approaches. Big data is literally big data, and you can’t and don’t even want to handle it until you want to be stuck with it all day. Astonishingly large amounts of data are generated every day. There are currently 2.5 quintillion bytes of data created every day, but that number is only expected to rise as the Internet of Things grows in popularity. Ninety percent of the world’s data has been generated in the previous two years alone. That’s why cloud computing, IoT, and AI are frequently mentioned in conjunction with “big data” concepts.

What is “Big Data” and “Cloud Computing”?

Both concepts are distinct, yet when used combined, they are a pack of a punch. Big data is massive amounts of data generated by a wide range of software applications. The sheer density of the data and the encryption the data required cannot be handled on a standard computer. Anything, including Big Data Analytics processing, may be done on the “cloud” with cloud computing. When it comes to “cloud” it is a collection of high-performance servers from a single provider. Cloud is also a more sustainable option and, in the world, where everything is tracked and labelled constantly, cloud is a big hit. In essence, “Big Data” refers to the vast amounts of data collected, while “Cloud Computing” refers to the technology that remotely takes this data in and performs whatever actions provided on that data. The cloud allows you to employ data storage, network, and computation resources as needed. And you may easily scale up or down as needed. It results in faster IT deployment speeds up time to market, value, and innovation.

As a Service(aaS)

The cloud rethinks how you distribute IT services across your organisation. You have numerous alternatives for cloud-based service delivery.

• Software as a Service (SaaS)
  Cloud-based software (or applications) are designed to scale for specific needs, usually on a pay-as-you-go basis. Providers ensure that cloud-based software runs on most desktops and mobile devices. They control access and security. With SaaS, you receive immediate access to the software you need without the deployment hassles of new applications.

• Platform as a Service (PaaS)
  Using the programming languages, frameworks, and tools supplied by the cloud host, you can construct and manage custom cloud apps. The user has no control over the cloud infrastructure (networks, servers, operating systems or storage). But the user can control deployed apps and even app hosting options.

• Infrastructure as a Service (IaaS)
  If you want PaaS but also want it managed, that’s IaaS. The supplier provides consumers with infrastructure resources such as storage, networks, processing, and other general computing resources. IaaS users can access cloud-based software, operating systems, applications, and frameworks, and conduct administrative tasks.
•  Recovery as a service (RaaS)
  RaaS allows you to upload data, pick options, and get results. Then you can view, download, and use the results. Normally, you have no idea what’s going on underneath. Online tax preparation is one example. RaaS is frequently connected with big data analytics solutions for businesses. In this situation, you grant data access. Then analytics professionals turn massive data into actionable business insights. IaaS supports SaaS and PaaS cloud infrastructure.

Big data and cloud, when together!

Enterprises are being forced to create a single ecosystem of data, analytics, and humans because of digital transformation. Data consumption, service delivery, and cross-company collaboration have all changed dramatically because of cloud computing. The cloud allows agility and elasticity by cost-effectively offering faster access to data, adaptive storage, infrastructure, platform, software, and processing resources. Many of these processes can be automated using the cloud. Efforts with big data are more fruitful when processes are simplified. Big data and the cloud are so frequently used together, especially at the corporate level, that the term “big data cloud” has become an umbrella word for cloud-based services for big data. Big data cloud’s primary advantages include lowering costs, enhancing efficiency through standardization and scalability, enhancing responsiveness, and igniting new ideas. An adaptable big data cloud infrastructure is essential, regardless of whether it is public, private, or a hybrid model. It will allow you to tailor cloud-based services to your company’s needs, allowing you to make the most of their potential. As a result, you will be equipped to turn massive amounts of data into actionable business intelligence. With Big Data and Cloud Computing, you can see that there are endless possibilities.

Why this combinations makes a perfect sense?

Cloud computing’s advantages are well-known. However, when we talk about big data analytics, these benefits take on a greater importance. The cloud’s scalable environment makes it possible to build data-intensive applications that fuel business analytics, which entails manipulating petabytes (and potentially eventually exabytes and zettabytes) of data. An organization’s connectivity and collaboration can be improved by using the cloud, allowing more employees access to important analytics and facilitating data exchange. While IT leaders are quick to see the benefits of storing big data on the cloud, the C-suite and other key stakeholders may be more difficult to persuade. As a result, the combination of big data with cloud computing can help executives gain a better understanding of the business and make more data-driven decisions. There are many ways in which information may be used to promote customer loyalty, as well as for cost reduction, revenue growth, and strategic investments.

To summarize

Big Data is significantly responsible for the existence of Cloud Computing services. Big Data can only be collected if services exist that can quickly take it in and decode it, which is why so much of it is already being collected. Since neither would exist without the other, they’re a natural pair. In today’s digital world, it’s worth noting that, both Big Data and Cloud Computing play critical roles. Those who have brilliant ideas, but limited resources can still have a shot at company success because of the combination of the two. In addition, they provide existing businesses with the ability to analyse data that they had previously been unable to do so. We gain a lot from this and although some of us might miss the feel of paper just like the old school days but now it’s impossible for us to live without these technologies. As humans we are constantly working towards making our life easier and better and big data and cloud are not only benefiting us individually but also now, they are working together and benefiting us as one.

About Kanerika

Kanerika is a niche consulting firm building efficient enterprises with deployment of automated, integrated and analytics solutions. Kanerika enables efficient enterprises through its unique digital consulting frameworks and AIOps enabled compostable solution architecture. We partner with some of the top vendors to solve some of the critical data and process related challenges. We help some of the top brands across the globe in increasing their speed to respond in evolving market conditions, reducing their cost of operations, empowering them with the right tools and insights for effective decision making.