2014 of 12 Big Data trends: Hadoop continues to heat up, R will enter the mainstream

Source: Internet
Author: User
Keywords Large data 2014 think continue

At the moment, "big data" has become one of the hottest technical terms of the 2013, and in the past year, the growth and change of the market is not insignificant. At the same time, we have seen a change in the use of Hadoop and its ecosystem from top technical talent to data scientists. More and more enterprises embrace large data technology and apply it to production environment. So what will happen to the big data trend in the 2014, and here's a look at the 12 forecasts from the CIO:

1. People stop talking about big data

In the 2014, the big data will change, people will work to benefit from it, and all the big data hype will "vanish". Gainsight learned that large data itself will become a chip on the table, gainsight in its IaaS platform using large data analysis by what it calls "customer success management" services. In 2014, Gainsight believes, each cloud application provider will allow the backend infrastructure to support large data.

2. Hadoop will be a key component of the enterprise

Hadoop will be popular, and big data will no longer stop at cloud services. Alteryx that, in 2014, the application scenario for Hadoop will go beyond batching and storage and will become a common Core component in the Enterprise data architecture, which means that data analysis will continue to be the primary use case for large data.

3. Companies will be more passionate about user data

From Gainsight, organizations will be enthusiastic about user data, and companies will take full advantage of the data that customers interact with their online products or services and derive value from them. To achieve this, data analysis capabilities will be more valued than the BI team and provide more value to the enterprise.

4. Big Data Topsy Market decision

Alteryx believes that in 2014, big data will be officially launched into the market for the first time, big Data technology for marketing will play an important role in this year-affecting advertising, product promotion and consumer behavior, World Cup and Winter Olympics will be its biggest stage.

5. Massive data will go beyond the awareness of data scientists

Alteryx that the new data analysis needs will go beyond manpower, and in some cases large data technologies will be comparable to tens of thousands of data scientists. The company predicts that this will undoubtedly pull down data from the scientists ' pay.

6. The Internet of Things will enter the network

The IEEE Professional Association believes that, in the 2014, identifiable things will be seamlessly connected to the information network, realizing the true web of things. The web of things will take full advantage of the monitoring capabilities of mobile devices and sensors to enhance the synergy between objects in the real world and Web replicas.

The Web of things will generate a lot of real-world-related data, which will require intelligent solutions to give connectivity, interconnection, and dependencies between the real world and the corresponding digital world resources.

7. From large data to massive data

The volume, speed and type of data (volume, velocity, and produced) will continue to grow exponentially in 2014, requiring simpler analytical tools to harness these "data floods".

"More than 3 V to make big data a very difficult to subdue tiger, data scientists and the industry need simple tools is also a problem, many industries have no independent ability to extract data value," says IEEE. The new paradigm and practice of more demand data management and analysis are now appearing in the mass data era. In the 2014, the field will be staged for supremacy. ”

8. R language replaces traditional SAS solutions

According to Alteryx, the analysis based on R programming language will be the mainstream of data scientists ' "Queen" model, which will be the main trend in 2014, replacing the traditional SAS and SPSS models. "More than 2 million users and 3 million of analysts are looking for a better solution," Alteryx said. ”

9. Hadoop will add real time features

Monte Zweben, co-founder and CEO of Sql-on-hadoop supplier Splice machine, points out that interactive applications built on the Hadoop platform over the next 1 years will explode, including Web applications, mobile applications and social applications, People can interact with them in real time.

Zweben said: "2014 will bring real-time large data application platform, the enterprise will not only like the current analysis of historical data, you will have the ability to analyze 5 minutes, or even 1 minutes of data; The enterprise will have interactive applications to make decisions in real time." ”

Hadoop will get enterprise-class hardening

"It's no doubt that Hadoop is a great platform, but there's still a lot of work to be done," Splice machine's Zweben said. ”

In 2014, he believes, you will see Hadoop develop in the direction of security, operations management, resource management, and multi-site response. Zweben added: "You will see all the enterprise-class requirements, which I think will be the main focus of the future." ”

11. At least one NoSQL IPO at the end of 2014

Large data and cloud environment security solution Gazzang Chairman and CEO Larry Warnock predicts that at 2014, at least one Hadoop or NoSQL supplier will IPO, marking the large data platform widely recognized.

Warnock said: "I'm not going to predict which one will IPO, but at least there will be a Hadoop or NoSQL supplier IPO." Wikibon learned that in 2012, NoSQL software and services created 286 million of billions of dollars in revenue, and in 2017 the data was forecast at 1.825 billion. Shopping malls are driven by growing corporate demand, and they need flexible, scalable and affordable data management solutions for the new era of cloud and large data design. ”

12. A new analysis stack will be born

In 2014, Alteryx predicts, a new data and analysis stack will emerge, providing new solutions for databases, analytics, and visualization that will directly threaten the traditional vendor giants, who will also launch new solutions in a hurry.

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