What Led to The Death of Big Data and the Emergence of the Multi-Cloud Era

Big data, a term that has been around since 2005, has ever since enabled businesses to predict future problems, discover new business opportunities, create better strategies, and make well-informed business decisions. It initially started with very essential collection and analysis of data, but with gradual advancements in technology, its scope increased multi-folds. Until its recent downfall

Let us look into the different phases that big data went through, before diving into the multi-cloud era.

The Birth of Big Data

Our growing digital footprint resulted in large amounts of digital information in the form of social media interactions, digital photos and videos, retail transaction records, internet searches, and mobile phone use, among others. Such kinds of digital information collected by businesses led to a need to analyze them and gain insights from them. This gave birth to big data- a vast field responsible for analyzing and processing large sets of data.

It helped the business make better business decisions by:

  • Predicting future events
  • Analyzing situations, actions, and choices in real-time
  • Uncovering trends and patterns within a business
  • Giving a fresh perspective of the business processes

With various data analytics tools coming to light, big data started being deployed and capitalized in different industries such as manufacturing, supply chain management, construction, financial services, healthcare, education, and banking, among others. It looked like it was here to stay.

However, it couldn’t survive for long as more and more enterprises starting moving to the cloud. All that fascination with data was only a temporary bubble; it seems.

The Death of Big Data

The big data hype got over with the Internet of Things (IoT) taking over the world of data by storm. The death of big data in no way means that it has become obsolete. It only means that the field of big data has become quite reasonable, so much so that businesses have started to realize that it alone is no more sufficient to leverage it to create better business strategies.

With time, enterprises started realizing that although they have such massive amounts of data of their customers, they failed to drive value from it. This is because big data wasn't enough to make right strategies. It lacked actionable information. Information that helps create better business decisions.

For example, big data will help you gain a massive amount of data telling you about the specific actions of your customers. However, it will fail to tell you why your customers take a particular action. This realization eventually led to the passing of the significant data era.

What Led to The Death of Big Data

The shift in data management by enterprises is what is known to lead to the early demise of big data. The nature of data is multi-structure. This made it increase.

There came a time when astronomical data sets, starting becoming so common that the market flooded with new tools to store data. With customers relying on new technologies to store and analyze their data sets, all the hype about big data broke.

Companies were pouring vast amounts of money to handle their mountains of data and drive value from it. However, it was still not so easy to make sense out of different data sets and connect them insightfully. This was an even huge of a challenge for large enterprises that had to deal with a lot more data than small and medium enterprises.

The large pools of information available were not easy to leverage with big data alone, which led to a shift in the trend of collecting, storing, and processing data.

This led to the change in the way we collect and process data.

With this, the cloud computing era began

The cloud computing technology has become so common for individuals and businesses alike that we cannot even imagine a world without cloud now. It has become one of the hottest technology trends today. So, where did it all begin?

Amongst all the chatter, it is believed that tech giants like Google and Amazon begin using this term more than a decade back from today to describe a hypothetical model that allows files and software to be accessed over the web instead of their traditional desktops.

Although the term still hasn't made it in the Oxford dictionary, it is increasingly used by businesses that do not prefer to spend a fortune on building their own in-house IT infrastructures. When there was no cloud, enterprises dealing with massive amounts of data would need millions of dollars plus staff to develop their IT infrastructure. But, with the cloud, this cost has dramatically reduced.

Thanks to cloud computing, businesses can efficiently and cost-effectively manage their servers, data storage, and networking, among other IT resources in the cloud. Some of the popular cloud computing solutions that biggies of the industry rely on are Amazon AWS, Google’s cloud, and Apple’s iCloud, among others.

When adopting the cloud-based computing architecture, it is essential to understand the different cloud computing models that exist and choose one that's most relevant to your requirements. Private cloud, public cloud, community cloud, and hybrid cloud are the four significant types of cloud computing models that exist at present.

But, oh, this is old news!

A multi-cloud strategy is the latest advancement in the field of cloud computing

In 2019, we saw a majority of enterprises implementing a multi-cloud strategy in their businesses. Let us dive into this field now.

The emergence of The Multi-Cloud Era

This era saw enterprises adopting multi-cloud strategies that involve the use of multiple cloud computing services to eliminate the dependence on any single cloud provider. If you've already started to wonder that it's a mistake and that it's merely a hybrid cloud strategy, well, you need to hold your horses.

The multi-cloud strategy differs from a hybrid cloud strategy in the sense that the former involves multiple cloud services and not just various cloud models. Whereas, a hybrid cloud strategy consists of the use of numerous cloud computing models and not services.

Cloud services are prone to failure. That’s a sad reality. But let’s get over it.

It is always said not to keep all your eggs in the same basket. As a progressive organization, you must leverage multiple cloud environments so that your risks are mitigated, and you’re able to maintain a unified user experience with your services.

Made your mind to adopt a multi-cloud strategy for your business?

  • Define your organization’s needs. You want to end up choosing a strategy with solutions that meet your business workloads and need. Do not forget your security requirements. This will allow you to choose the best solution in terms of performance, security, and scalability.
  • Choose software and tools carefully- You do not want to choose tools that aren't suitable for multi-cloud environments. Doing so will only backfire, and you won't be able to leverage the benefits of multi-cloud. Keep the future in mind when adopting software and tools. You might be required to move workloads at a later point in time, right?
  • Lastly, ensure to build your multi-cloud strategy on a robust cloud architecture. Employing different cloud ecosystems will fail to develop a robust multi-cloud strategy if there's no solid architecture in place. If some of your resources are running on local cloud architecture, ensure to underpin them with a robust cloud storage architecture.

The multi-cloud strategy will allow your businesses to reap these benefits:

  • Superior security
  • Optimized ROI (Return on Investment)
  • Low latency
  • Autonomy
  • Less disaster prone
  • Easy data recovery
  • Future proof
  • Better control
  • Keeping DDoS attacks down
  • Easy to manage
  • Mitigating risks
  • Applications can be migrated over time
  • Safeguard you from vendor lock-in
  • Shifting data store externally is possible while retaining core systems

The Bottom Line

Although big data has come to an end, it will forever be remembered as it was responsible for the growth of social media dominance and evolving the mindsets of enterprises dealing with large data volumes.

Big data technologies are not dead. It is only that big data is no longer the only field that businesses rely on for analyzing and processing data. From being a hype that it was back then, it has become a business asset that companies invest in along with many other tools and technologies.

 

admin

admin May 26, 2020

0 Comment(s)

Contact Us