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#Career | Predictions of Big Data for 2018

There is an expansion in the volume as well as the complexity of data with organizations today. Similarly, the role played by humans along with machines in managing data has become a lot more diversified. Since years, companies have been relying upon Hadoop for their data processing needs.

Professionals with Hadoop related skills have been in demand for quite some time now. People who have attained decent qualifications in Hadoop such a Hadoop certifications or received Hadoop data scientist training have been given a chance to work in significant positions in companies that use data to make better decisions. However, with the high cost and other complications, we are experiencing a post-Hadoop phase.

So now in order to process data in a cheaper and faster manner, cloud blends with Hadoop as well as relational databases. It facilitates enterprises to process data across a variety of settings. And it makes more sense to do it this way.

With the introduction of newly recognized innovations, it has become possible for companies to discover, administer as well as access data in a fashion which is centralized. Now it doesn’t really matter where the data originates from or resides. Thanks to such developments, we have entered a new era where Big Data can be easily distributed by companies in a more sensible manner.

Here are some predictions in relation to Big Data for 2018.

  1. Data-driven organizations will benefit from machine learning

All the data-driven enterprises are expected to accept and respect the power of automation. This is because organizations are responsible for countless petabytes of data and it is next to impossible for humans to handle all of that on their own.

Machine learning driven automation will be applied to assist human in managing as well as administering data. Automation is also highly helpful in avoiding errors along with bad decisions. This saves a lot of time and money for companies.

  1. CDO begins to play offense rather than playing defense

In sports, it is often believed that the offending team surely does win the games, however, the championship is won by the defending one. In the case of data-driven organizations, the complete opposite is true. Undoubtedly, it is essential for companies to have a data strategy that is defensive in order to adhere to regulations like GDPR, though for organizations to enhance their business efficacy, it is advisable for CDOs to search for different means in their pursuance of leveraging the data assets of the company by going for an offensive approach.

However, for taking such measures for increasing the business potency of the data-driven enterprise, it is essential to ensure that the data possessed by the organizations have to be in order. So that the administered data can be transformed into actionable intelligence.

  1. Enterprises will face major have difficulties in meeting GDPR Regulations

It is known to all the data-driven organizations that GDPR is immensely broad. It administers all the facets of customer data managing. Which means it takes care of everything, from its protection to usage along with transparency. This is going to affect lots of companies across a wide range of industries.

 So it will not be a surprise if most of the organizations are not able to make their data assets adhere to the latest GDPR regulations that are supposed to be out in May. It is actually shocking to see that they are so unprepared. As per a recent survey by EY Global Forensic Analytics, only thirty-three percent of companies have built a plan for GDPR.

So, we expect to experience all the trends mentioned above in the years 2018.

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