2014 Big Data worth looking at 8 development directions

Http://www.aliyun.com/zixun/aggregation/14255.html ">hadoop Big Data deployment software supplier CEO John Schroeder about 3721.html" > With 8 forecasts for big data developments in 2014, John Schroeder that in the new year the main development idea for business executives is to turn large data into the infrastructure that enterprises must have, and the following are 8 predictions about technology development and market trends:

Prediction one: SQL remains a paradox of large data development, first of all, SQL is still the business analyst for Hadoop and the preferred tool for project developers, and developers can choose Apache projects such as Hive, drill and Impala, and choose Hadapt, Proprietary technologies of companies such as HAWQ and splice machine. But SQL also faces a daunting challenge-that SQL requires data structures, while centralized structured data can cause delays and require human management. SQL also restricts the profiling type. Excessive emphasis on SQL will delay the organization's full use of its data value in the footsteps and latency response.

Forecast II: In the 2014 security issues remain a constraint on the development of technology a difficult problem, which identity, authentication is the main data security issues, with Hadoop (distributed computing) in the access control capabilities provided by the fierce attack, the mechanism quickly recognized that line-level identification is the necessary basis. Without adequate identification and authentication mechanisms, any more advanced controls can easily be bypassed and hinder scheduled security plans.

Prediction Three: The continuous development of the data, there will always be some wrong data, these erroneous data may lead to the analysis of the middle and lower reaches of the deviation, resulting in the Cross-sectoral or business unit operations lack of consistency, and so on, then how to turn the wrong data to the enterprise is useful things? 2014 we will see a solution to the problem of data anomalies.

Forecast four: Hadoop will be in the door of the major enterprises, 2014 to see Hadoop in various industries in the production deployment significantly increased. This will show the power of Hadoop in operation. There, production applications and analytics combine to provide measurable business advantages, such as customized retail recommendations, fraud detection, and the maintenance of test sensor data.

Forecast V: More data warehouses will deploy enterprise data centers, and 2014 will see most of the company's data centers offload data extraction processing and data from the enterprise Data Warehouse to Hadoop, so Hadoop will become the Enterprise center, and be able to do additional processing or new applications for more analysis, It can also dramatically reduce the cost of the data center.

Forecast VI: Each industry will deploy a new data-centric application, because the ability to use large data in 2014 will be the core weapon of competition among enterprises, and more companies will use large data and Hadoop to accurately target individual consumer preferences for additional sales and cross-selling opportunities, Better mitigate risk and reduce production and overhead costs.

Forecast VII: Data becomes the focus of every datacenter, and in 2014 it will increasingly be tasked with defining the data infrastructure to support multiple applications, focusing on the infrastructure needed to deploy, process, and protect the core assets of an organization.

Forecast VIII: The 2014 unstructured query language will be the backbone of search, as well as a large number of SQL programs for Hadoop in 2013. 2014 will be the focus of this unstructured query language year. Integrating search into Hadoop provides a simple and intuitive way for enterprise users looking for important information. Search engines are also at the heart of many discovery and analysis applications, including recommendation engines.