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The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

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As a software developer or DBA, one of the essential tasks is to deal with databases, such as MS SQL Server, MySQL, Oracle, PostgreSQL, MongoDB, and so on. As we all know, MySQL is currently the most widely used and the best free open source database, in addition, there are some you do not know or useless but excellent open source database, such as PostgreSQL, MongoDB, HBase, Cassandra, Couchba ...

Working with text is a common usage of the MapReduce process, because text processing is relatively complex and processor-intensive processing. The basic word count is often used to demonstrate Haddoop's ability to handle large amounts of text and basic summary content. To get the number of words, split the text from an input file (using a basic string tokenizer) for each word that contains the count, and use a Reduce to count each word. For example, from the phrase the quick bro ...

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Eckerson Wayne, a consultant, says Hadoop provides a platform for easier control of individual data analysis and Spreadmart (report marts) built by business users, while giving them a place to perform self-service analysis. Spreadmart is the abbreviation of ToolStrip Data mart, in the field of business intelligence, refers to the different power created by many individuals and teams ...

Managing and maintaining storage is expensive, not to mention the growing need for more hard disk space. By using data storage based on cloud computing, business owners can leverage more attractive prices and consistently reduced costs while integrating a variety of new features from different vendors. Cloud services, as cloud computing or cloud storage, can be valuable assets for cost-sensitive SMEs. Although some of the larger organizations have the resources to build their own cloud storage services, small and medium-size enterprises often need to turn to some cloud storage providers for Internet-accessible storage ...

Eckerson Wayne, a consultant, says Hadoop provides a platform where dynamic environmental monitoring provides more convenient control for individual data analysis and Spreadmart (report marts) established by business users, while also allowing them to have local self-service analysis. Spreadmart is the abbreviation of ToolStrip Data mart, in the field of business intelligence, the different spreadsheets that multiple individuals and teams create. 　　Because the data is inconsistent, it brings a lot of trouble to the business. ...

Cloud computing and data warehousing are a reasonable couple. Cloud storage can be scaled on demand, and the cloud can contribute a large number of servers to a specific task. The common function of Data Warehouse is the local data analysis tool, which is limited by calculation and storage resources, and is limited by the designer's ability to consider the new data source integration. If we can overcome some of the challenges of data migration, the problem can be solved by moving a data warehouse and its data analysis tools from dedicated servers in the datacenter to cloud-based file systems and databases. Cloud data management is often involved in loading and maintaining text in Distributed File systems ...

Apache Pig, a high-level query language for large-scale data processing, works with Hadoop to achieve a multiplier effect when processing large amounts of data, up to N times less than it is to write large-scale data processing programs in languages ​​such as Java and C ++ The same effect of the code is also small N times. Apache Pig provides a higher level of abstraction for processing large datasets, implementing a set of shell scripts for the mapreduce algorithm (framework) that handle SQL-like data-processing scripting languages ​​in Pig ...