what is Big Data – Types, Trends and Future explained

By Rohini Madhavi

Last updated on Mar 2 2020

what is Big Data – Types, Trends and Future explained



What is Big Data?

What Is Big Data? Types of Data, Trends, and Future in 2020

Big data is a trending term used to indicate a huge amount of knowledge that cannot be handled by traditional knowledge processing software. It requires advanced technologies to collect, store, and process/retrieve the information when required.


Capturing the statistics, analyzing it, sharing, updating, and maintaining the privacy of it are some of the major struggles of handling a lot of info.

If all of the goods were to be analyzed, the benefits attained from the Big Data, i.e., information and statistics received would change the world of business.


What is big data analytics?

There are plenty of people who need to clarify their question called what is big data analytics?  That is also the most frequent doubt of people just like, What is Big Data.

It’s not so hard to understand let me explain the concept of Big Data Analytics.

Big Data analytics is the continuous process of analyzing mass information to open the enclosed information with a complex nature- such as hidden patterns, market trends, and the preference of customers. This will eventually help the organization to make well-informed business decisions.

On the other hand, Data Analytics is nothing but techniques which is used to analyze data and outsourcing new factual information.

Using such information from Mass Info, organizations can solve a lot of their current issues. It helps them in areas like,
  1. Cost reduction
  2. Customer behavior analysis
  3. Risk management
  4. Protection from fraud
  5. Time reduction
  6. Product development

All in all, Mass Information helps in taking better and more informed decisions while reducing risks and threats of failure.

Now that we’ve understood what a lot of Intel is and why it is essential, we’ll talk about the types of information in statistic analytics.


The types of information can be of various forms like structured, unstructured, and semi-structured when it comes to the type of big data.

Let’s discuss the types of information in detail,

What are the types of Big Data?


Structured Types


The structured form of knowledge is available in an organized manner and stored in the database. This usually includes statistics from computer-based activities with two primary sources — machines and humans.

The former involves goods logs, history, and practical about every single activity performed on a system or internet. The latter includes the goods manually entered by humans like personal information on websites and portals.


Unstructured Types

Unlike structured information, this type of statistic isn’t available in an organized manner. The unstructured knowledge doesn’t exist in a neat row and column format. Hence, it has to be dealt with manually.

Until recently, there was no option but to segregate the statistics manually but now, new innovative ways are coming up for dealing with such testimony.

This includes social media statistics, websites, or online content, etc. Everything we write online, post, and share, all contribute to the unstructured goods. 


Semi-Structured Types

The semi-structured one can be defined as the information that isn’t entirely structured but is easy to handle when compared to the unstructured dossier. This could include some common quality throughout the set of knowledge which helps us segregate, store, and use it for various purposes with ease.

About 20% of data available is structured and the remaining 80% fall into the category of unstructured and semi-structured.

However, the majority of which is unstructured. In the 2000s, an industry analyst named Doug Laney introduced the concept of 3Vs relating to Big Data solutions.

These 3Vs (Volume, Velocity, and Variety) act as the defining factors of Big Data solutions.

According to this concept, the struggle with big data doesn’t just involve the amount of information that is to be handled. Other factors are contributing to the issue too, like, variety and velocity.

In recent years, two other factors have been included — variability and value. The aim here is to understand that Big Data and its complexity is not just related to the large size but also various other things relating to it.

Now, let’s talk about the most popular Big Data trends, 

What is a big data trend?

What is  big data trend? That’s a sophisticated question to answer.

Let me help you out there with your query regarding what is a Big Data trend? Big Data trend is a recognized pattern regarding a set of data, which the analysts utilize to organize their attempts to find in running data. There are certain types of trends, such as,



Open Source trends:

The frameworks of Big Data open source like Hadoop, NoSQL, and Spark are soaring high in the Mass Info market.

The usage of Big Data Hadoop is consequently increasing year after year and several organizations are adopting open source for their business. So it is drawing a clear picture of its future application and encouragement.

According to a source, by the end of 2018, about 60% of companies plan to adopt Hadoop technology as an integral part of their business.

What is Hadoop? And for what Hadoop is used for?

Apache Hadoop is an open source collection of Software utilities that used to activate network of huge number of computers to resolve mal functions of large data and computations, and you Hadoop is one of the widely used Big Data solutions,

Do you know it always a framework for software’s meant for distributed storage and processing of big data using models of programs like MapReduce.

Streaming analytics trends:

In the Big Data world, the streaming analytics trend is the next important goal being chased. It is believed that by the end of this year, Mass Info professionals will be able to apply streaming analytics and get analysis to a better level.

Streaming analytics means being able to process and analyze information whilst it is still being created. It means no interruption or conversion/duplication of knowledge for analysis. Plus, it saves a lot of time and effort.

AI and Machine Learning trends:

Artificial Intelligence and Machine Learning were the technologies that topped last year’s list of most promising and rapidly growing trends.

It is no doubt that these are going big this year and changing the way people work with technology. With voice recognition, privacy improvement, real-time experiences, and many more, AI and machine learning are trending on Big Data solutions too.


Dark Data trends:

This term is used to refer to the hidden, unrecognized, and unprocessed information’s that is usually saved offline in the form of hand-written records or other paper-based work. The Big Data aims to meet this challenge head-on this year and convert most of it into online stored data for reference.

Data Visualization Trends:

Earlier, the prime aim of Big Data handling software was to simply store and analyze the information. Discerning the information available in various forms and making the most of it by giving a dossier analysis was the only important part.

But today, alongside analyzing shreds of evidence, being able to represent the analytics more clearly and understandably is the aim.

Various visualizations techniques have come into the picture to garner the benefits of this analytics and help a business grow.

One of the best examples is the rise in the usage of Infographics. We as humans, respond to visuals more effectively.

Hence, using visualization as a means of representing the information analytics collected from Big Data can help serve the purpose better and more efficiently.

Suggested Read – Data Visualization: Introduction, Emergence, Tools, and Benefits

Big Data’s Future and Market Potential:

In the nearby future, everyone and everywhere will be inside the Mass Info. After reading and understanding its complexity due to the large size, one may term it as something that is available in large quantities and is useless. This isn’t true at all.

Big Data’s potential and future is limitless. The amount of evidence created online keeps increasing every day but only a part of it is analyzed. So, we can expect a widespread usage of Mass Info in the nearby future itself.



Most Popular and High Paying Big Data Certifications you Must Consider

Big Data Hadoop Analyst

Big Data Hadoop and Spark Developer




Now that you know the answer for the question, what is Big Data? It’s really easy to understand the concepts. As we discussed, the Big Data market is rapidly trends and it is expected to be worth over $45 billion by the end of this year.


According to a recent survey, The Big Data analytics field, there will be around 440,000 jobs trends related to Mass Info in the US and there are only 300,000 candidates to fill the positions.


This shows that the Mass Info market is quite promising and opens up several opportunities in the coming future.


Getting a big data certification can help boost your career in this field and help you have a secure future in the knowledge analytics field, Know more and more about the trends and types and the application of Mass Information by enrolling in Sprintzeal, I assure you you will have the clear answer for your questions what is big data and more.


If you are aspiring to make a career and know more about the concept, what is big data or enhance your current career in the field of big data trends, you can take up our Big Data Hadoop Analyst Training and get certified. To know about more courses in this field, you can reach us at Click Here or directly chat with our course expert online.

To explore courses from various other fields, visit Sprintzeal's all courses page


About the Author

Sprintzeal   Rohini Madhavi

Senior Content writer in Sprintzeal with great knowledge in Technical and IT domain writings

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