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Big Data 2021 Top five future data trends your business should capitalize on

As we all know, the year 2020 did not go exactly as planned. The unforeseen global pandemic has plunged the world into a state of chaos, affecting the majority of businesses around the world in one form or another. It’s no surprise, then, that IT departments around the world have faced much of the damage as they scramble to find solutions to deal with unprecedented levels of upheaval. With the workforce moving from the office to the home, video calls replacing board meetings, and cloud computing taking center stage, there was a lot to adapt and adapt. manage.

In the midst of the madness however, there was a key player in the digital transformation of 2021, and that is the big data trends. But what exactly does this mean and how has big data been able to help companies adapt to the “new normal”?

In a nutshell, big data is the accumulation of data in giant quantities (as the name suggests). In addition to its volume, big data is also growing rapidly with time and complexity. For this reason, no traditional data management (DM) tool is able to store or process it efficiently. In light of the pandemic, big data has been widely used in various fields to solve many complex business problems, capable of totally transforming processes and delivering key innovations at the same time. Big Data’s three strategies of availability, speed, and trust are what make this particular data work so well and have been found to be critical in helping businesses get through tough times. All industries, from banking and telecommunications to healthcare, government and retail, are currently harnessing the power of big data, making it one of the hottest tickets in tech.

But what can we expect this year in terms of big data? Here’s a look at what we at Aumcore believe to be the top data analytics trends of 2021, so you can keep an eye out.

What are the big data trends in 2021?

1. Increasingly Recognized Augmented Analytics

If you’re hopeful about the future of big data, you probably should know a bit more about augmented analytics.

One of the main issues that have arisen with the increase in the use of big data is managing the sheer volume of data that is now available to businesses – with evidence suggesting that approximately 2.5 quintillion bytes of data will soon be generated daily. Projections also predict that over the next five years, companies will generate approximately 185 times more data than they do today. That’s a lot by anyone’s standards! So it’s no wonder that with such large datasets, the prospect of interpreting them seems like a huge test.

This is where augmented analytics comes in for businesses. Through the use of ML and AI techniques to automate the sharing, analysis and initial preparation of data, augmented analysis will allow these large data sets to be interpreted as smaller chunks and larger. usable. It is this simplification of big data that will undoubtedly make this type of analysis more common in 2021.

Increased emphasis on knowledge graphs

2. Increased emphasis on knowledge graphs

It has been widely suggested that knowledge graphs will be one of the most prevalent emerging tech trends to bridge the gap between humans and machines in 2021. This is because with the expansion of big data at the current rate. , more help is needed to analyze and make sense of it all. This is where knowledge graphs will prove to be an absolutely essential tool for many businesses.

Knowledge graphs are a set of interconnected descriptions of events, objects, and concepts that give data much better context, through the use of binding and semantic metadata. This means easier data analysis, integration, sharing and unification.

According to Dataversity, the main advantages of using knowledge graphs include:

  • Scalability: The ability to adapt to various data and metadata that change over time.
  • Introspection / Query Ability: Patterns that can be inspected to find what is knowable and findable.
  • Semantics: the meaning of the data is stored in the graph next to the data to understand the connections.
  • Activation of intelligence: the ability to infer dependencies and other relationships between objects.

3. Edge computing

From working from home to self-driving trucking, advanced computing is now expected to solve problems the cloud simply cannot solve, and 2021 should be its year. Essentially, edge computing brings data storage and computing much closer to the devices where data is collected, instead of relying on a central location that can be hundreds or even thousands of miles away. . With remote working still very popular, the need to increase speed, productivity and collaboration will undoubtedly see Edge systems become more popular this year with many companies.

This type of technology will also be essential for traffic management and autonomous driving, where low latency is certainly a plus, but not a must. While cloud platforms will likely strive to compete with emerging trends, AI and 5G are expected to accelerate use cases in advanced computing, making it a topic to watch in 2021.

4. The merger of big data and blockchain

So far in 2021, there has been renewed interest in cryptocurrencies and blockchain technology. This is mainly due to the huge rise of Bitcoin and other competing cryptocurrency companies.

If this trend continues to gain popularity, big data will certainly benefit. This is because big data is likely to ride the crest of the cryptocurrency wave, as the end result will be the merging of large data sets and blockchain technology. This marriage will then undoubtedly be exploited by some of the world’s biggest brands.

In summary, the merger of big data and blockchain will benefit companies by providing:

  • Improved online security
  • Better confidentiality and transparency in tandem
  • Superior data quality
  • Automated processes

big data in the health sector

5. The Big Data Health Revolution

While the world of health technology continues to learn and grow from the events of the COVID-19 pandemic, it is clear that a huge push in health technology has never been more vital. Big data is being used more and more to try to find solutions to health problems, and now we are starting to see the results of those efforts.

Due to the propensity of big data to store large amounts of information, it’s no surprise that the medical world is now tapping into these datasets to analyze patient vital patterns, trends, associations, and differences. These datasets paint an insightful overall picture, which is ultimately extremely beneficial when it comes to understanding the spread and control of highly contagious viruses, such as COVID-19. This big data can also be revisited to develop future methods of preventing certain diseases.

To summarize

Trust us when we say the future is data – with big data, the growth is so fast that it’s pretty hard to put it in context or in words. The important thing to remember is that Big Data is definitely here to stay, so it’s a good idea to start tailoring your business accordingly, based on some of the trends we’ve explored above. It’s not really about whether you should start using these datasets in your daily routine, but rather when you will implement them. By embracing big data, you will not only reap the rewards of improved overall efficiency, but you will also find that adaptation will also bring valuable dividends to your business.

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