Outlook for 2013: An analysis of ten trends in big data development

"IT168" 2012 Big Data development in full swing, a great catch up with cloud computing potential. If this year is to be likened to big data, then 2013 will usher in a year of thriving, even flowering. There is a forecast that the big data market will grow at a rate of 40% a year, the 2012 Big data market size of about 5 billion U.S. dollars, 2013 will double. What are the new trends in the 2013 Big data development? Whether it is IDC, Gartner or the domestic large data research institutions have given their own answers, the author here to summarize the views of all sides, and to talk about their own ideas.

Forecast 1: Open source Large data commercialization

With closed-source software in the field of data analysis has been shrinking, the veteran it vendors are changing the business model, to open up, and increase professional services and system integration efforts to help customers to open source, cloud-oriented analysis products migration, mainly Hadoop and R two types of technology. Unlike traditional understanding, the prevalence of open source in large data markets will not dampen business opportunities in the marketplace, and open source will bring more opportunities to the relevant areas of infrastructure hardware, application development tools, applications, services, and so on.

Forecast 2:hadoop will accelerate development

As a representative technology for large data areas, many companies put next year's plans on Hadoop. The forecasts say users will be more focused on hardware for the optimization of Hadoop, while the enterprise-friendly Hadoop technology market will reach an unprecedented peak. On the whole, not only is Hadoop itself going to be a rapid development, but the configuration and seamless integration of Hadoop in multiple data centers will also be popular. Hadoop's expertise is growing fast, but there is still a dearth of good talent.

Forecast 3: Large data complexity reduction

The landing of large data technology will have two features: one is less dependent on mapreduce, the other is the application of Hadoop technology into the enterprise software architecture. For the first feature, software such as Cloudera's Impala and Microsoft's polybase are fully developed, bypassing the mapreduce and processing data directly from the HDFs. For the second feature, the large-scale use of Hadoop is an inevitable trend, and gradually will form the industry standards, and then become a more valuable software base, not only in their own internal use.

Forecast 4: Packaged large data industry analytics applications

With large data moving into various industries, the demand for large data analysis applications based on industry is growing. Analytical applications for specific industries and business processes in the coming years will be packaged in a prepackaged fashion that will open up new markets for large data technology vendors. These analytical applications will also cover a wide range of industry expertise and attract the input of a large number of industry software development companies. (IDC)

Forecast 5: Large Data market segments

The development of large data-related technologies will create new niche markets. For example, advanced data Services based on data analysis and processing, an analysis of the data analysis as a service product is presented as a service (Analyze as a service) business, a component product that integrates multiple information management to create a unified access and analysis of large data, and social large data analysis based on social networks; There will even be a training market for large data skills, teaching data analysis courses, etc. (IDC)

Forecast 6: Big data drives mergers and acquisitions among companies

Large data concept coverage is very broad, including unstructured data from storage, processing to the various aspects of the application, and large data-related software vendors are also very many, but no one vendor can cover all aspects of large data. Therefore, in the next few years, large it vendors will be in order to improve their large data product line for mergers and acquisitions, the first will be information management analysis software manufacturers, predictive analysis and data display vendors.

Prediction 7: A revolutionary approach to large data analysis

In large data analysis, there will be revolutionary new methods. Like computers and the Internet, big data could be a new technological revolution. Many of the previous algorithms and basic theories may have a theoretical level of breakthrough. (CCF)

Forecast 8: Big Data and cloud computing: deep integration

Large data processing is inseparable from cloud computing technology, cloud computing provides resilient and scalable infrastructure for large data, and efficient patterns of data services, while large numbers provide new business value for cloud computing, with greater integration of large data technologies and cloud computing technologies. Similarly, emerging computing patterns such as cloud computing, IoT, and mobile Internet are both a place to generate large data and an area where large data analysis methods are needed. (CCF)

Forecast 9: Large data integration machine released in succession

Since cloud computing and large data concepts have been introduced, the integration of hardware and software devices for the market has emerged. In the next few years, Data Warehouse integration, NoSQL, and other integrated equipment will be more rapid development.

Forecast 10: Large data security worrying

With the increasing of large data, the requirement of physical security of data storage will be higher, so that the multiple copies of data and disaster-tolerant mechanism can be higher. The Internet and digital life make it easier for criminals to get information about people, and more difficult to track and prevent criminal means, there may be a more sophisticated scam. (CCF)