ApacheHadoop help enterprises deal with one of their toughest challenge - to create value using the vast amounts of data. Users generally deploy Hadoop framework, because it can help companies get value from a large variety of different types of data. Independent analyst ForresterResearch company released "Forrester wave of Big Data Hadoop solution" (first quarter 2014 edition) report, open source Hadoop framework to adapt to the gradual deepening of enterprise environment, their crazy momentum has been unstoppable. Its new unique data management solution is helping companies change http://www.raincent.com
Storage, processing, analysis and sharing of way.
HADOOP evolving technology
Relying on its technological advantages, Hadoop has won many awards, but at the same time, contrary to its real technical capabilities can provide error messages and over-commitment also plagued the technology. Proposed unrealistic when deploying Hadoop technology is expected to demand or strayed technical cognitive errors will result in a waste of time, rising costs, lackluster performance.
Learn Hadoop technical capabilities and limitations, and accordingly develop an installation plan, we will give full play to Hadoop technology capabilities in the future. Hadoop technology to know the truth and avoid the following common errors that will help you successfully deploy Hadoop:
Myth: Hadoop alternative data warehouse
Truth: Hadoop framework itself is not a complete solution for data or analysis, nor is it used as a substitute or data warehouse framework or platform. For its part, relying on the development of cost-effective technology Hadoop Big Data platform solutions, share information with other databases, making it the perfect combination of the data warehouse. Relying on Hadoop technology, companies will be able to make full use of various types of mass data in new ways.
Myth: Hadoop technology flash in the pan
Truth: Hadoop acclaimed, its momentum seems unstoppable, therefore, it will not be short-lived. "Forrester Wave: Big Data Hadoop solution" (first quarter 2014 edition) reported that, Hadoop framework is necessary for large enterprise data platform, is the most important part of any future flexible data management platform. To take full advantage of Hadoop technology, next-generation data warehouse will more deeply integrate with Hadoop technology, management greater size, structure more complex data sets.
Myth: Hadoop technology is free of charge
Truth: Hadoop is an open source product indeed, all users can download for free. However, using this technique, but is not free, and even higher costs. Efficient use of Hadoop technology professionals need to accept strict training, and long-term data storage also requires high costs. Consider analysis and multi-user factors, the cost of Hadoop technology is actually higher than the data warehouse. In addition to the open source technology, manufacturers also sell a variety of functions supported by a dedicated application support and expand the use of Hadoop for the enterprise to provide more help.
Myth: Hadoop solution is a data integration tool
Truth: Hadoop is actually designed for a particular data type design load and distributed file systems. However, the lack of data integration technology. If Hadoop solution could not be used in conjunction with large-scale data management ecosystem, it will become another data islands isolated from each other so that information. Once deployed Hadoop technology in the data warehouse environment, users can query information in the data warehouse and Hadoop.
Myth: Hadoop is a single open source products
Truth: Hadoop is a product library and technology library, including the Hadoop Distributed File System, MapReduce, Pig, Hive, Falcon, Knox and so on. A number of manufacturers to develop Hadoop product, and add functionality with a differential advantage. For example, Hortonworks? Data platform to help companies collect, process and share any format, any size of data. Not all products are open source Hadoop. Forrester reports that the demand for Hadoop products enable manufacturers to face the harsh competition in the market, they need to seize every opportunity to sell their unique Hadoop solutions.
HADOOP release the full potential of technology
Hadoop provides a reliable solution for the storage and processing of large data sets, using historical data to help companies overcome the high cost, complex data structures difficult, efficient use of various types of mass data. Although Hadoop technology versatile, multi-advantages, but it can not replace the data warehouse or data integration tools. And by integrating with other data or analytics solution, but it can enhance the value of Hadoop technology.
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