Future of big data

Each user is creating more than 5MB of data per second. Big data is increasing statistically with these moving years. Data Scientists are predicting an uncountable excessive data in the future of Big data. We have already created an immoderate amount of data in past years and there is no slowdown in upcoming years.

In Big data series part 1, 2, and 3, we talked about Big data and its components, in this final part we are are going to talk about Future of Big Data.

A Brief to Big Data

What is Big data? It is advanced science for understanding and prognosticating human behaviour by studying large sets of unstructured and structured data that undergo deep analysis to unveil pattern, trend and associations. This all extract out from the historical and current data scenario. Historical and current data helps in predicting future insights. Most of the Big data work is cleaning and converting the traced data to make it searchable and sortable. This whole big evaluation starts with deriving new insights from the previously untouched data. Followed by analysing the raw data and then integrating new insights into the business operations.

Data is getting messy in the forefront scenario. So, is Big data going to be the only choice? According to Data Scientists’ predictions, the future of Big data is coming up with many challenges. There is no slowing down in the coming years.

Future of Big Data

Advanced technologies are replacing the old/traditional way of keeping data. People are more in learning new technologies and creating their circle of numerous data. It is calculated that Facebook creates around 500 Terabytes of data each day. So, are you ready to calculate the data for the whole week? Or let’s just make it more complicated to a year or 2.

Data is going unlimitedly wide with leaving a single choice. Here are some of the predictions regarding Future data which are marked to be the facts.

Data is increasing steadily- As we already talking about advance science, users are increasing steadily. Now, this excessive data need to get stored somewhere. Many big names already moved from traditional data to Big data. It makes huge data analysis more easy and accurate.

Machine learning is a new hub- Machine learning is going to play an important role in the Future of Big data. Big data revolution will flow with the motion of Machine learning. It will be helpful to prepare data and also in conducting predictive analysis. Machine learning wi become role model for businesses to overcome future challenges.

Data Scientist and CDOs will be high on demands- According to the predictive report of upcoming statistics of data, firms will need more Data Scientist and CDOs. Businesses are going to rely on Data Scientist and CDOs completely and will come to high on demand.

Challenges Ahead with Future of Big Data


Privacy is going to be a prior concern to the future of Big data. We are seeing the security breaches across all the domains where we have sensitive user data like Health care, Retail and banking. There will be possibilities that data might also be compromised by hackers and malware. We have seen the same in the past where hackers breached into Target and Yahoo’s valuable data. There is another example where the White House released a note on the big data compromise.

Decision-makers will rely heavily on big data for coming up to the key decisions. Companies might be collecting the data which may be flawed which leads to the collection of inaccurate information and predictions. To the fact, decision making on this kind of data will be very dangerous to the business.


Big data is maintaining the balance of all data. No doubt that it helps in analyzing the huge amount of data whether it is structured or unstructured but Cloud Computing has started running under competition with Big Data. Cloud computing will be the new fuss around the world in the upcoming years. From storage to computing the whole data, it can see over the direct management without the user’s help.

Amazon Web Services and Google Big Query

Amazon and Google came with their own cloud computing services, Amazon Web Services Redshift and Google Bigquery respectively. These are the most reliable, inexpensive and scalable platforms serve millions conjunctionally on their own data storage.


When datasets will increase to the unnumerous amount, it will get more difficult to maintain the cluster. Currently, Hadoop cluster maintenance is one of the biggest and important challenges the industries are facing. The only parts of cluster maintenance which are cost and time effective are File system checks, HDFS balancer utility, adding new nodes to the cluster, purging older logs and taking backups.

Big Data and Cloud Computing

Big data is solving many issues of the messed-up data. But, are data scientist ready to collect and keep track of this huge data? Not for all. Cloud computing is the new trend building in the upcoming years. From storage to computing the whole data, it can see over the direct management without any help of the users.

Big data and cloud computing have their own kind of competition when it comes to privacy, maintaining the cluster and the whole computing system.


So, here we are at the edge of part 4 of Big data series, Future of Big data. Even though the data is increasing steadily, big data will be irreplaceable with the coming advanced technologies at least for the coming future.

About The Author

Chaitanya Murali is a Senior Business Analyst at Factspan who has a broad spectrum of the domain and technical knowledge. He has proven success in bringing added value to companies through analytics and data science across multiple industries & domains. Apart from travel mania and adventures, Chaitanya is very curious about new learnings and loves to read fictional books.

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