Predictions For The Future Of Big Data

While a lot of experts believe that there’s some great stuff in store for the future of big data, it is also true that technology will be greatly advancing throughout 2017. This is why there are a number of complex facets of big data, which are increasing by the day. Various attributes of big data, such as artificial intelligence and cloud computing, are believed to have a huge impact on big data analytics. There are a number of factors that exhibit the potential to change or more likely determine the direction at which big data is moving. For instance, there will soon be a number of customers who would replace the businesses, in demanding various amounts of data, to look for the cheapest hotels and understanding climate issues and similar concepts. There is a very acceptable idea today, of a reality where it would be the customers, the common man, if you may, who would be demanding personalized, tailored artificial intelligence technology, to suit their particular needs and demands.
While these seem like mere examples, with a tinge of realism, there are absolute chances of these becoming a reality very soon.
Ten years ago, all the data that was ever generated and accumulated, made up the highest denominations of storage space, which was namely Gigabytes or Terra-bytes, but the recent few years have made an explosion of data, into what is known as exabytes; this term roughly refers to billions of Gigabytes of data. This is where we derive the term ‘big data’ from, it is to denote the humongous amounts of data that has been generated, all over the world, in such a short amount of time. Regardless of whatever happens in other aspects of this field, one thing we can be absolutely certain of. That is, that data will be continuously growing, which means that soon there will come a time, when we will be talking about Zettabytes, which roughly amounts for a trillion Gigabytes.
Artificial Intelligence began its advent, as just a buzzword which was continuously used by sci-fi movie enthusiast and was mainly used to refer to technology only seen in sci-fi movies and the likes. Today, this term is no longer reserved for those, who are obsessed with technological gizmos, or those involved in science. It has very well become a part of our everyday lives, through various examples, like Google’s Allo, Microsoft’s Cortana and Apple’s Siri. There are absolute indicators that AI has full potential of transforming, from something nice to have to very essential technology to have. There are so many changes and futuristic developments that big data can make today, as well as in the future.
One of the biggest prediction is the fact that big data can result in various advanced applications for fields of national security, customer behavior tracking, weather forecasting, HR, sports, health and so on.

One prediction is definitely going to happen, which is that big data will have a better, smarter and a huge impacting role to play in the future.


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Big Data Hadoop- The Basics

The digital universe, is filled up to the brim with data, big data as it is popularly known today, is everywhere around us. With its existence comes another aspect, the never ending search for those who can perform magic with this big data, the Data Scientists as they are popularly known.
The explosion of big data took place about half a decade ago and with that, was uncovered a new avenue of possibilities. Earlier, it was the terra byte or the giga byte, which were known to store biggest data; but now the times are changing and new terms like petabytes or zetabytes have come up as storage units for Big Data.
It was only recently that firms discovered the value in the enormous amounts of data that was pouring in through their customer base of millions. At the same time another prediction was made, this one hinted at more data being generated in the future and with that, more demand would be made for people who would be able to make sense out of this data. Statistics state that India will face a shortage of around 2 lakh data Data Scientists for its firms.
There are a lot of tools in the market, which assist a Data Scientist in Data Analytics. These tools usually help in extracting data, storing it, analyzing it and then drawing solutions. Data Analytics is soon to become a marketing requisite, because of the treasure of patterns and insights hidden under mountains of data. R Programming, SAS Programming, Python, Big Data Hadoop are some of the major tools used in this industry, of these Big Data Hadoop is said to be the forerunner.
Hadoop is very well known as the ‘next big thing’ in the data analytics world. This tool was developed by Apache in the year 2002. The basic idea to develop this tool was a way to provide a better open source network for data analytics. At the peak of its popularity, no tool was better than Hadoop at managing huge amounts of data sets. This tool could extract, store and move data with a lot of ease. It is basically free to download and is a distributed storage and distributed processing platform for managing huge amounts of data.
With the use of Big Data Analytics on the increase, it is seen that Hadoop will become the default software for a lot of e-commerce giants as well as big names in other industries. It is also noticed that in India itself there are quite a lot of professionals who are trained in Hadoop. If we look at the numbers there are almost the same numbers of professionals trained in Hadoop in India as there are in the Silicon Valley. More and more companies are looking to hire these professionals, thus making Hadoop the most sought after skill on resumes.
Imarticus Learning one of best educational institute in India, which offer certification courses and training programs in Hadoop. Many aspirants today are opting for these courses and getting trained in Hadoop as well as other data analytics tools.

Role of Analytics in today’s Scenario!

Role of Analytics in Today’s Scenario!

The role of Business Analytics has evolved over the years. Although analytics has been around for a long while, it wasn’t until the last 5 to 10 years that its importance in the business field has been realized. It was in the last 10 years that technology has been revolutionized and we now produce about 2.5 quintillion bytes of data every day. 

This is more data than what was collected in two years previously.

This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data. What has also changed in the last decade is that we now have the means to sift through these 2.5 quintillion bytes of data in a reasonable amount of time. All these changes have major implications for organizations today. This emphasises more on the role of business analytics in today’s times. 

In organizations, analytics enables professionals to convert extensive data and statistical and quantitative analysis into powerful insights that can drive efficient decisions.

Therefore, with analytics, organizations can now base their decisions and strategies on data rather than on gut feelings. Moreover, with the rate at which this data can be analyzed, organizations can keep tabs on the customer trends in near real-time. As a result, the effectiveness of a strategy can be determined almost immediately. Thus, with powerful insights, analytics promises reduced costs and increased profits.

With a sudden surge in the analytics industry, there is a tremendous increase in the demand for analytics expertise across all domains, and throughout all major organizations across the globe.

This adds to the importance of Data Analytics courses and how the youth must pursue a career in Data Analytics. 

IBM’s recent study revealed that “83% of Business Leaders listed Business Analytics as the top priority in their business priority list.”

Deloitte has mentioned in its study that – Decision makers who can leverage everyday data & information into actionable insights for the growth of their organization by taking reliable decisions, will find themselves in a much better position to achieve strategic growth in their careers.

Importance of business analytics

Organizations employ Business analytics so they can make data-driven decisions. The role of business analytics helps any organisation with an excellent overview and insight into how companies can become more efficient, and these insights will enable such businesses to optimize and automate their processes. It is no surprise that data-driven companies, that also make use of business analytics usually outperform their contemporaries. The reason for this is that the insights gained via business analytics enable them to; understand why specific results are achieved, explore more effective business processes, and even predict the likelihood of certain results.

Business analytics also offers adequate support and coverage for businesses that are looking to make the right proactive decisions. Business analytics also allows organizations to automate their entire decision-making process, to deliver real-time responses when needed.

One of the apparent importance of business analytics is the fact that it helps to gain essential business insights. It does this by presenting the right data to work it. This goes a long way in making decision making more efficient, but also easy. This is another reason to make a promising career in data analytics.

Efficiency is one area of business analytics that helps any organization to achieve immediately. Since its inception, business analytics have played a key role in helping business improve their efficiency. Business analytics collates a considerable volume of data on time, and also in a way that it can easily be analyzed. This allows businesses to make the right decisions faster.

Business analytics help organizations to reduce risks. By helping them make the right decisions based on available data such as customer preferences, trends, and so on, it can help businesses to curtail short and long-term risks.

There is an information overload in today’s world and data analytics helps to cut out the clutter to help businesses make safe and smart choices.

Summary

We can conclude that Business Analytics is a field that holds a lot of potential & importance in the way any organisation operates. It indeed is the best time to make a career in Data Analytics. You can always check out our Data Analytics courses to know more.