Important Trends in Big Data for 2018 By Luke Lonergan

The rate at which the data is being created and consumed is unbelievable to the extent that no limit knows. This data is being manufactured and consumed by both customers and businesses. Data is created every second from every corner of the world. According to a survey, the amount of world data doubles every eighteen months. This vast amount of data is known in the technical terms as the Big Data and offers great challenges and opportunities to businesses globally.

Trends in Big Data for 2018

Big Data provides the possibility of enterprises to get estimates of estimated metrics and insights, but these data sets are often so large that they reject conventional data warehousing and analysis methods. However, if properly stored and analyzed, then the business can track customer’s habits, fraud, ad effectiveness and other data at an already incomprehensible level. The challenge for enterprises is not so much about how to store the data or how to interpret it effectively for competitive advantage.

Quantum Approach to Big Data: Quantum computing concept has been around for a long time. There is a real possibility that it will come in full force in 2018. But we have to wait and see whether the use of quantum computing has become more common and comprehensive. There is a possibility to code machines in another understandable way. If you think ahead, then technical giants believe that quantum approaches can solve complex problems to handle large-scale datasets. From Gene Mapping to Space Exploration, each dataset is resolvable with a new quantum-based approach. Quantum computers are going to be more powerful than today’s computers. Quantum computing is considered to be the biggest technical breakthrough after the invention of microprocessor. ‘Bits’ may pass, welcome Quantum ‘qubits’!

Important Trends in Big Data

The NoSQL Conquest: Especially in the last few months, NOKQ is taking an important adoption of not only SQL technologies. A NOQL technique has been modeled with “big data” needs and has many supporters in it. The benefits of transferring to a NoSQL database are becoming more apparent. In the enterprise IT scenario, SQL is also set to become the main query language for the NoxQL database. Since SQL ecosystems mature, we will see gradual changes towards the benefits of the schema-less database. Companies that work on a large amount of both structured and unorganized data will move away from the traditional SQL database approach, and in a large number, the NSQL database will be leaner. SQL database can handle structured data only, but what about unorganized data? NoSQL can handle it. Alterics, Triphacca, and Informatica Rev are some of the NoCQL tools that are on the rise and are making a mark in the industry.

Increased Data Security and Breaches: Everything is going digital or ready to go digital, and the issue of data security in this context is still a major concern. There have been reports of data breaches and maybe more attacks than hackers, due to the rapid development of the Internet and connected networks and things. Hackers can also kill a jeep driving on the highway. Data protection should never be overlooked. But the thing is that there have been many data breaches in the past and there will be a lot in the future. So what’s the difference? The difference is how to implement the right crisis plan in the event of an attack, and how to stop it. In fact, organizations should pay more attention to the method of handling data protection before, during and after hack.

Big data will prepare the basis for success because it maximizes business potential to capture the value, value, innovation, accuracy, outreach, and ability to do accurate predictions. In the future, we have to address the privacy and security of all information collected and provided, but we cannot always deny the power of large data sets to change the business model. Privacy and issues related to intellectual property; the liability can also be linked to the right business insurance plan. Large data will definitely affect insurance companies, because many issues related to the integration of many data sources from different sources, and not only affect individual people but corporations, will be disclosed. Business insurance model will change as any business. The way we do business and redefine the way we adapt to technological progress, it will force us to make big data.

Luke Lonergan is a Big Data Expert who focused on the company vision & opportunities and always uses the latest technology to provide the better product.

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