For some time now, he has not stopped talking about the concept of ‘big data’ and its immediate impact on both people’s and organizations’ lives, whether public or private. Big data is fundamental to the development and digital transformation of companies.

The Year of Big Data

Big data is key to the birth of new startups and also for the transformation of the companies that currently exist. 2017 can be an important year marked by the rise of machine learning, Artificial Intelligence, the adoption of cloud computing, the progressive importance of the Internet of Things and connected devices, and may also be marked by the demand for data scientists.

But above all, 2017, according to the experts, will be the year in which big data will become the mainstream, and especially in terms of business and companiesP. For the first time, it will drive trading operations, rather than simply reflecting performance. That’s a powerful proposition for those who use data analytics effectively.

But on the other hand, this could be absolutely devastating for companies that are falling behind, which are not a few, since according to Harvard Business Review, most companies today do not know how to recognize the value that data analysis can have. The reasons are very familiar, lack of vision, lack of communication and lack of a real plan.

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Alibaba joins the car

The saying goes that information is power, however, it is important to be clear that it is not more powerful who has the data, but who knows how to use it properly.

Organizations are increasingly convinced that the good use of their data is synonymous with innovation, competitiveness and growth, but above all they know that it allows them to make smart and quick decisions, favoring the achievement of the objectives of Business.

That’s why they see big data as the technology solution they’ve been waiting for. But to do this, companies have to make a good investment and not all can do it, that’s why the big companies like Amazon, Google and Microsoft are the ones that stand out in this sector.

But Alibaba doesn’t want to be left behind, and while its Cloud business isn’t new, the Chinese giant tries to offer added value to compete away from home and wants to stand out from its competitors with great data, security and middleware offerings developed from from your own experience handling massive online transactions.

As announced by Alibaba Cloud’s chief manager, Ethan Yu, the ZDNet site, the company appreciates the possibility of expanding its network of data centers. It is very likely that the new locations will open in Europe.

Forecasts for 2017

The big data concept is already well known and is a well-established reality, as shown by the fact that it is the technological area in which companies of more than 500 employees are investing more.

In addition to this, big data is a rapidly evolving trend at the pace of technology and social uses. For this reason, it is important to know the forecasts, collected by Fundación Telefonica, that experts have done about what is expected of big data in 2017.

On the one hand, according to Quentin Gallivan, CEO of Pentaho, big data and the internet of things are expected to come together, as the union of these trends will make companies have to have automatic systems for data management.

According to Eric Mizell, VP of global solutions engineering, Kinetica, the cognitive age will make its debut in computing, i.e. the union of artificial intelligence, business intelligence, machine learning, real-time analytics, etc., will give rise to intelligence in real time.

According to Adam Wray, CEO of Basho, it will tend to further decentralize the data. While there will always be some centralized storage of data, business needs will make it increasingly common for data to be processed wherever it is produced or used.

According to Lance Smith, CEO of Primary Data, metadata will advance management, due to the amount of data that will be generated year after year it will be necessary to create data models on the data so that companies can assess whether a dataset is current or if you value or not. This will reduce data costs and increase efficiency in its use.

According to Dan Graham, Internet of Things technical marketing specialist, Teradata, the position of architect in Internet of Things analytics will displace data scientists, due to the rise of the Internet of Things will multiply offers related to this Trend.

According to Girish Pancha, CEO and Founder, StreamSets, in 2017 confidence in data will be revived, due to the large number of new data sources, organizations will start to change their mindset and start looking for ways to monitor and clean up this data before they reach their destination.

Finally, Jeff Klaus, GM Data Center Solutions, Intel, believes that in 2017 high-level executives will be involved in the success of data centers, this phenomenon that has been observed over the last year will gain strength as the impact of the (e) the management of these data centers in the company’s activity.

Big data and cybersecurity

There is no doubt that big data has been a new chapter in the digital revolution, turning large volumes of data into valuable information. In any case, the fundamental thing about this amount of data is its processing, because it is this that makes them the most valuable tangible asset with the most potential for companies and institutions.

The processing of all that digital information requires great security measures to maintain the privacy and security of them. Cyber threats are a constant danger to economies around the world.

In fact, it is estimated that they will exceed the $1 trillion brand in damages next year and that’s why companies are investing in big data analytics tools to build models that help predict the behavior and patterns of action of cybercriminals, so this way you can go one step ahead of them.

In cybersecurity, big data can monitor and track systems to detect irregularities and potential gaps, keep society more secure, and even have applications for disaster prevention and resolution, food delivery, aid scientific research, medicine, task management, workflows, social interactions or internal operations of companies, ensuring security and comprehensive analysis of massive data volumes.