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Technology has reached a long way and programming is one part that has transformed the world of computers. Programming has literally allowed people to play high end games with the help of high quality sounds and graphics. The market today is flooded with skilled programmers who always come up with some or the other inventions. MapReduce is one of them. Became popular in the year 2004, it is an application platform that allows the skilled programmers to develop or create program by using a number of unsystematic clusters of content that is created to work in specific computers. Created by Google, this technology is a substitute for its former algorithms that were used for indexing purposes.

The major advantage that has persuaded programmers to opt for this technology is the way in which it enables the programmers to program in a more simplified way with respect to intra cluster. It is enabled in failure handling and monitoring and assures the user on efficient intra cluster communication.  Considered to be the best medium that can be used for duplication of the projects, it has the proficiency to outshine over common data bases that have been created. It is the easiest way of enabling programming in a simple manner so that they can function in a faster and smoother manner.

The word can be categorized into two parts: a part that is created to locate content and categorize it into different clusters is called Map. The map can be considered as the first line that is capable of categorizing the fundamental details that the user requires to carry out the indexing process. The second one is reduce, which is used to gather the assorted data that the former function “map” has composed and present it in easy to understand single values. The overall function of this technology is collecting data.

To increase the efficiency, Hadoop architecture is used. It serves a very important role in the process of MapReduce. Hadoop is a powerful suite of tools that is based on the idea that a large problem can be turned small and tackled by numerous pieces.  Hadoop architecture is designed to apply the concepts of functioning programming to the examination of huge volumes of data and that is the reasons why various websites including Facebook uses it.

Used by organizations in a variety of ways, MapReduce can bring efficiency into the ways in which the organization is processing data within your organization and save costs in data processing technologies.

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An Overview of MapReduce and Its Impact on Distributed Data Processing

Organizations collect many types of data about the processes they support: marketing, operational, activity logging, etc. For example, “click stream” and log data provide a record of the end user’s activity during past visits to a web site. Shopping cart data provides information on what items a customer intends purchase, and checkout data records the items eventually purchased. Companies like Amazon.com and Netflix provide examples of how information is used by organizations to enhanc

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Big data, big challenges: a new approach to processing systems
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– Information at Scale – The promises and challenges of large scale data processing, 2010-11-12
from Fine International Conference on Gigapixel Imaging for Science Nov. 11-13, 2010
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Herndon, VA (PRWEB) December 02, 2014

Search Technologies, the leading IT services firm specializing in the design and implementation of enterprise search and search-enabled big data applications, has announced that version 2.1 of their Aspire content processing platform has recently been certified on Cloudera Enterprise 5. Cloudera provides a data management platform based on Apache Hadoop that helps organizations become information-driven by leveraging the best of the open source community with the enterprise capabilities.

Search Technologies’ Aspire is an innovative and powerful content processing framework specifically designed for unstructured data. Now a Cloudera Certified Technology, it ensures that clean, enriched, normalized content is ingested by Cloudera CDH, to further improve search relevancy, navigation and/or Big Data analytics.

“This partnership brings together a combination of technology, and expert implementation services. Search Technologies brings expertise in making sense of the 80% of the world’s data that is unstructured,” said Kamran Khan, CEO of Search Technologies. “Much of the current Big Data buzz is about extracting nuggets of useful insight from unstructured information. That’s our specialty,” he added.

Aspire is used within dozens of government and corporate search implementations, addressing a wide range of applications. It is complemented by a number of data connectors for a growing range of content management systems, business social platforms, and databases.

“Search Technologies’ recent certification of Aspire provides our customers with a powerful framework for processing unstructured data which helps organizations ensure the greatest value from their Big Data investments and improve the efficiency of downstream analytics solutions.” Said Tim Stevens, vice president, Corporate and Business Development at Cloudera.

About Search Technologies

Search Technologies is an IT services firm specializing in the design, implementation, and management of enterprise search and search-enabled big data applications. We make it our business to ensure that our customers achieve the desired business insight and impact from their information retrieval and analysis initiatives. To learn more, visit http://www.searchtechnologies.com.