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Google created a mapreduce,mapreduce cluster in 2004 that could include thousands of parallel-operation computers. At the same time, MapReduce allows programmers to quickly transform data and execute data in such a large cluster. From MapReduce to Hadoop, this has undergone an interesting shift. MapReduce was originally a huge amount of data that helped search engine companies respond to the creation of indexes created by the World Wide Web. Google initially recruited some Silicon Valley elites and hired a large number of engineers to ...

October may be the one months worth noting in the history of large data. Because in this month, we can redefine Hadoop. It can be a research framework of large data batch processing, and it can also be a high speed engine and interactive analysis product of structured and unstructured data large-scale parallel analysis data. > already have companies trying to prove it. Recently, the industry held a special meeting to promote Hadoop itself Hadoop-plus-sql architecture, add advanced analysis function, through the image display and so on. Among them, three ...

Guide: Mike Loukides is the vice president of the content strategy of O ' Reilly Media, and he is very interested in programming languages and UNIX system management, with system configured tuning and UNIX power Tools. In this article, Mike Loukides put forward his insightful insights into nosql and thought deeply about all aspects of modern database architecture. In a conversation last year, Basho, CTO of the company, Justin Sheehy, recognized ...

At present, a large number of enterprises have a huge amount of customer information, including online transactions and social media data. However, the key to success is to be able to gain insights from the data from different sources and channels, while companies with the ability to collect and analyze these data will have a significant advantage in the competition. However, the unstructured data has become a major challenge for the enterprise. Companies are already familiar with collecting and analyzing structured data, such as traditional sales report information. At present, many enterprises are puzzled how to collect and analyze more types of multiple structured data, such as blog, Radio frequency identification (RFID), sensors ...

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At the O ' Reilly Media conference in New York this September there were two big calls for big Data technology: Enterprise-class and agile. We know that enterprise-class business intelligence products include Oracle Hyperion, SAP BusinessObjects, and IBM Cogonos, while Agile products have qlikview, tableau, and Tibco Spotfire. If it turns out that big data has to buy enterprise-class products, that means big data can cost a lot. But this is not absolute, by using large data agile technology, each ...

The Apache Haddo is a batch computing engine that is the open source software framework for large data cores. Does Hadoop not apply to online interactive data processing needed for real real-time data visibility?   Doug Cutting, founder of the Hadoop creator and Apache Hadoop project (also the Cloudera company's chief architect), says he believes Hadoop has a future beyond the batch process. Cutting said: "Batch processing has the useful, for example you need ...

The Apache Haddo is a batch computing engine that is the open source software framework for large data cores. Does Hadoop not apply to online interactive data processing needed for real real-time data visibility? Doug Cutting, founder of the Hadoop creator and Apache Hadoop project (also the Cloudera company's chief architect), says he believes Hadoop has a future beyond the batch process. Cutting says: "Batch processing is useful, for example, you need to move a lot of data and ...

Here's an interview with IBM's VP of Emerging Technology, Rode Smith. In the interview, Smith pointed out the advantages of the IT department that accepts large data projects, and the risks faced by IT departments that reject large data projects. The momentum of large data has been severely frustrated in many IT departments. Many people may have the idea that "it's enough now." We have plenty of SQL data storage and all the business intelligence tools we need for our business needs. So what are you talking about? "Yes, so far, everyone has heard ha ...

The Apache Haddo is a batch computing engine that is the open source software framework for large data cores. Does Hadoop not apply to online interactive data processing needed for real real-time data visibility? Doug Cutting, founder of the Hadoop creator and Apache Hadoop project (also the Cloudera company's chief architect), says he believes Hadoop has a future beyond the batch process. Cutting says: "Batch processing is useful, for example you need to move ...