12 predictions for the 2014 Big Data trend

Big Data has become a worldwide buzzword in the 2013, but in the coming 2014 years, what kind of development will this new technology usher in? We are here to make 12 predictions, hoping to get ahead of the big data technology and market changes in the coming year.

"Big Data" has become one of the most popular technical terms in the 2013. The relevant market has been developing very rapidly, but also in the past year has changed a little. We see Hadoop, and the ecosystems around which it is built, from the simple role of Yu TIANCAI programmers and engineers to the resources available to data scientists. Companies have started to embrace large data technology and put applications into actual production.

Where will this technology go in the 2014? Today we look to the future and share 12 predictions for big data in the coming year.

Big data: Don't dwell on verbal--put into action

In the 2014, the "Big Data" as the only hot technical vocabulary of the phase will be the past, but the big data itself will really start to embark on the table, Gainsight company said-the enterprise on its own SaaS platform using large data analysis technology, designed to provide the so-called "customer success management." Gainsight firm believes that every cloud application provider will drive the back-end infrastructure to support large data systems in the coming year.

Hadoop positioning: From the taste to the necessary

Cloud computing is by no means the only platform for large data technology to prove its worth and strength. According to the Alteryx of the Strategic analysis platform supplier, 2014 Hadoop will no longer be limited to the bulk data processing and storage, but further extended to the common computing infrastructure field, and thus to the core of the enterprise Data System. This means that analytical work will continue to be the number one use case type for large data technologies.

Businesses take advantage of customer data to gain business initiative

Companies will begin to take seriously and leverage the digital information left over from the interactions between customers and online products and services, Gainsight said. In order to achieve this goal, the data analysis scheme must go beyond the traditional business intelligence team and try to provide business value to the whole enterprise.

The big data gradually leads the marketing propaganda field

The analysis and large data program based on marketing objectives will usher in a new development climax in 2014 and have a significant impact on advertising, promotions and consumer behavior, Alteryx said. Technological innovation in the World Cup and Winter Olympics will become an important showcase for big Data Science in the New Year.

Modern analytical mechanisms are more important than data scientists

Rather than recruiting millions of data scientists for the industry, providing analysts with more data and analysis mechanisms in the business sector is a more important driving tool, Alteryx said. The company also predicts that the trend will depress the current relatively high numbers of data scientists in 2014.

The Internet of things will develop into a web

The professional advice given by the Institute of Electrical and Electronics Engineers (IEEE) is that in 2014 we will see the internet of things-the integration of recognizable objects seamlessly into information networks-will give way to the Web. The web will inherit all the functionality of the mobile device and the sensor, helping to achieve smooth collaboration between the real world and other components in the network environment by observing and monitoring its environment.

"The web will produce a lot of data that is closely related to the physical world, and intelligent solutions must be connected, cross-web and associated with the physical world and its corresponding digital environment," the association said.

From large data to "giant" data

In the 2014, data will continue to multiply in size, speed and variety, and this "ocean of data" needs simpler analytical tools to deal with.

"The sheer size, speed and variety of three words are not enough to describe the difficulty of dealing with large data," the IEEE explains. "The technology industry has not yet been able to keep up with the status quo, and we need well-trained data scientists and easy-to-use analytical tools to help industries-including financial and insurance marketers, health care and scientific research institutions-transform their data into meaningful perspectives and conclusions." The era of huge numbers of data is coming, which requires us to adopt new patterns and approaches in data management and analysis, and 2014 will be an important year for many competition firms to decide. ”

R language replaces traditional SAS solutions and becomes mainstream

The analysis mechanism based on r programming language has long been a reliable helper of data scientists for statistical analysis, and this mechanism is expected to become mainstream in the 2014. According to Alteryx's guess, the R language will replace the legacy environments of SAS and SPSS.

"With more than 2 million users and an additional 3 million analysts eager to find a better solution, the spring of R language has come," Alteryx explains.

Hadoop will enhance real-time customization of applications

In the coming year, we'll see the explosion of interactive applications that are based on the Hadoop platform, interacting with users in real time--web applications, mobile apps, and social applications, Real-time Sql-on-hadoop database provider Splicemachine Company co-founder and Ceomontezweben said.

"2014 will bring us a real-time platform for large data applications," Zweben points out. "You can not only analyze past data as you do now, but also analyze data five minutes or even a minute ago," he said. We will ultimately implement the decision making in real time through an interactive application. ”

Hadoop will accept the practice of enterprise application environment

"While Hadoop is a fantastic platform, there are other things we have to do to really make it work," says Zweben of Splicemachine company. "And you need hands-on coaching." ”

In 2014, he says, you'll see a deeper evolution in Hadoop in terms of security, operations management, resource management, and multi-site replication. "We're going to need a variety of features for the business," he added. "These features will tend to standardize on large data platforms," he said. I think that will be a major development priority. ”

By the end of 2014, at least one NoSQL database company will be the first to complete the IPO

As an important indicator of the commercialization of large data platforms, at least one Hadoop or NoSQL supplier will be listed in 2014, and the CEO and Ceolarrywarnock of large data and cloud environment security solutions provider Gazzang.

"I'm not going to predict which companies are listed, but I hope that at least one Hadoop or NoSQL supplier can start listing in 2014," Warnock said.

According to research firm Wikibon, NoSQL software and services revenues reached $286 million last year, and the market is expected to soar to $1.825 billion by 2017. The momentum of the market's development comes mainly from a strong thirst for high flexibility, scalability, and cost-effective data management solutions, including analysis and trading, which need to be emphasized to be designed specifically for new cloud computing and the age of large data. ”

The new analysis stack is about to appear

In 2014, we will usher in a new set of data and analysis stacks that include new solutions in areas such as database, analytics, and virtualization, and all of which will pose a serious challenge to traditional large vendors. These big suppliers will have to scramble to put together their own solutions, or they will suffer a heavy blow in the market.