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Hadoop being an open-source framework makes it easy and economical for organizations to set up and manage clusters when compared to licensed alternatives. Hadoop is the much-loved distributed computing technology with smaller enterprises looking to leverage analytics to draw valuable big data insights.

The concept of IoT started in the early 1980s. In 1982, computer science graduate students at Carnegie Mellon University had connected a vending machine to the internet. The programmers developed an application to check the availability and temperature of the drink. It was in 1999 that IoT was officially recognized as a distinct technology.

Many decades ago, data scientists were not on many radars. But they have gained immense popularity in today's technology-driven era. This sudden popularity can be linked to the opinion businesses now hold about data science. It would be fair to say that many data scientists started their careers as data analysts or statisticians. But as the concept of Data Science started growing and evolving, their roles also evolved, because data is no longer an afterthought that is handled by the IT department. Data has now become key information owing to the large amounts of usable data that are generated by organizations that can be analyzed effectively to provide strategic business patterns.

We live in a digital era and continuously use the internet for our day to day activities. Cyber security is considered as one of the critical national security issues of our times. However, there is a global crunch for cybersecurity experts.

Big Data is one of the biggest technological revolutions that has made data assessment and analysis more precise and accurate.

Ethical hacking refers to the act of penetrating or intruding into networks to find out vulnerabilities and threats in which a malicious attacker may find and exploit thereby causing financial loss, loss of data, and other major damages.

Machine learning tools can help to enhance your brand exposure for better results by finding data from social media and other sources about their products, logo and other factors. If the right tools and algorithms of machine learning are applied, it would lead to innovation in almost all spheres of your business.

Footprinting is the first and most convenient way that hackers use to gather information about computer systems and the companies they belong to. The purpose of footprinting is to learn as much as you can about a system, its remote access capabilities, its ports and services, and the aspects of its security.

With smart machines and sensors cropping up on farms, there is an abundance of data, both in quantity and scope. The entire farming is now being data-driven and data-enabled. Technologies in #smartfarming include tracking systems like Global Positioning System (GPS).

The role of big data in IoT is to process a large amount of data on a real-time basis and storing them using different storage technologies. In the big data system which is basically a shared distributed database, the huge amount of data is stored in big data files.

These skills help you to become a data scientist expert. A data scientist is someone who knows how to extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human.

Virtual Reality (VR) outlooks as part of much talked evolving technologies. VR creates a collaborative, 3D experience in a virtual environment with the help of computer software. A year ago, it was engaged mainly in gaming. In March 2004, capitalizing $2 billion for procurement Oculus, Mark Zuckerberg openly indicated an idea that Virtual reality is here to stay.