As indicated by an IDC Digital Universe Study, within 2020, about 1.7 megabytes of new data will be made each second for each individual on the planet. The present scenario and future data analytics trends present a massive opportunity for dealing with hidden and unprecedented information and thus opening of a new job stream. It is important that India is among the best 10 major data analytics markets and the market will take a huge leap from its present condition within 2025- from the current $2 billion to $16 billion.

In-Memory Technology :
One of the advancements that organizations are exploring trying to speed their huge data analytics processing is in-memory technology. In a customary database, the information is put away with hard drives or strong state drives (SSDs). In-memory technology stores the information in RAM rather, which is many, ordinarily quicker. A report from Forrester Research figures that in-memory information texture will develop 29.2 percent every year.

Machine Learning :
As large dataset examination abilities have advanced, a few ventures have started putting resources into machine learning (ML). Machine learning is a part of the man-made reasoning that revolves around enabling PCs to learn new things without being expressly modified with a human interjection. It investigates existing enormous amount of data set. The present machine learning and man-made reasoning frameworks are moving towards an advanced stage where manual intervention will be very limited or not even required increasing the productivity and accuracy and drastically reducing the cost.

Predictive Analytics :
Predictive analytics is often confused with machine learning. At the beginning of enormous data analytics, organizations were glancing back at their information to perceive what occurred and after that later, they began utilizing their investigation devices to explore why those things occurred. Predictive Analytics goes beyond the traditional norm of big data analytics, utilizing the enormous data sets to predict future trends.

Cyber Security :
With the advancement in technology, invariably comes the dark side. Globally, the cost of a data breach can reach up to $2.5 trillion by 2020. The cyber security spending is expected to reach $1 trillion over the next five years. Numerous organizations are additionally consolidating enormous data analytics into their security system. Organization’s security log information gives a fortune trove of data about past cyberattack endeavors that organizations can use to anticipate, avert and alleviate future endeavors.

IoT :
The Internet of Things is likewise liable to sizably affect enormous information. As per a September 2016 report from IDC, 31.4 percent of organizations studied have propelled IoT arrangements, with an extra 43 percent hoping to convey in the following a year.
With every one of those new gadgets and applications coming on the web, organizations will encounter significantly quicker information development than they have encountered previously. Many will require new advancements and to deal with the enormous information originating from their IoT arrangements.

The surge in the demand for Data Scientists:
There is already a very high demand in the market for data scientists and it will constantly grow at an exponential rate. The scarcity and high demand will invariably result in high salary. As a result of that scarcity, Robert Half Technology predicts that average compensation for data scientists will increase 6.5 percent in 2017 and range from $116,000 to $163,500. Similarly, big data engineers should see pay increases of 5.8 percent with salaries ranging from $135,000 to $196,000 for next year.
Data Analytics Courses will be on demand and numerous data analytics training institutes will open. It is important to choose wisely to get trained in the best in big data analytics certification course. Career3s doesn’t need to vouch for itself, as it has already marked its presence in data analytics training space. Backed by industry veterans and corporate trainers, we ensure that students learn through pragmatic and real-time project-based approach.