In the past few years, the innovative development of the open source world has elevated the productivity of Java™ developers to one level. Free tools, frameworks and solutions make up for once-scarce vacancies. The Apache CouchDB, which some people think is a WEB 2.0 database, is very promising. It's not difficult to master CouchDB, it's as simple as using a Web browser. This issue of Java open ...
In the past, Java developers relied on Web browsers as the front end of their applications. But the process is often frustrating: HTML is clumsy, JavaScript is slow and hard to use, and without debugging tools, it's a tough process to make your application compatible with all browsers. But now your gospel is coming, with the improvement of browser technology, especially after the adoption of HTML5, the above problems have been significantly improved. Let's take a look at the 5 benefits that HTML5 can bring to Java developers. 1, Cross-platform ...
While the term cloud computing is not new (Amazon started providing its cloud services in 2006), it has been a real buzzword since 2008, when cloud services from Google and Amazon gained public attention. Google's app engine enables users to build and host Web applications on Google's infrastructure. Together with S3,amazonweb services also includes elastic Cloud Compute (EC2) calculation ...
Jodd is an ordinary open source Java package. You can think of jodd as the "Swiss Army Knife" of Java, which is small, sharp and contains many convenient functions. Jodd is generic purpose open-source Java utility library. It enriches JDK with many powerful and feature rich utilities. Jodd He ...
In Java Web Development, it is often necessary to export a large amount of data to http://www.aliyun.com/zixun/aggregation/16544.html ">excel, using POI, JXL directly generate Excel, It is easy to cause memory overflow. 1, there is a way, is to write data in CSV format file. 1 CSV file can be opened directly with Excel. 2 Write CSV file efficiency and write TXT file efficiency ...
When developing internal and external applications, organizations are increasingly using open source code-which is reasonable. Using free pre-built components rather than writing your own code can significantly shorten application development time and improve the probability of software development success. When developing applications, the development team can easily use hundreds of more open source libraries, frameworks and tools, and countless code from the Internet. However, open source code is risky-even the most widely recognized code base. No one can guarantee that the open source code will not have a bug, nor guarantee it in the development process with the enterprise should ...
To use Hadoop, data consolidation is critical and hbase is widely used. In general, you need to transfer data from existing types of databases or data files to HBase for different scenario patterns. The common approach is to use the Put method in the HBase API, to use the HBase Bulk Load tool, and to use a custom mapreduce job. The book "HBase Administration Cookbook" has a detailed description of these three ways, by Imp ...
This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...
Cloud computing: Redefining IT over the past year, cloud computing exploded, including a variety of applications-such as Salesforce CRM and Google apps-and services-such as hosting Amazon elastic Compute Cloud (Amaz On EC2) ibm®db2®, Google ...
Storing them is a good choice when you need to work with a lot of data. An incredible discovery or future prediction will not come from unused data. Big data is a complex monster. Writing complex MapReduce programs in the Java programming language takes a lot of time, good resources and expertise, which is what most businesses don't have. This is why building a database with tools such as Hive on Hadoop can be a powerful solution. Peter J Jamack is a ...
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