Data Schema Design

Quexml is a simple XML schema for designing questionnaires. It has various style sheets to manage questionnaires for PDFs, CASES, and LimeSurvey. Quexml compatible with the DDI standard for data description. Quexml version 1.3.6 adds the file to the QUEXF bound XML schema. The Quexmlpdf class now handles different page widths better. Software information: http://quexml.sourceforge.net/download address: http://so ...

Quexml is a simple XML schema for designing questionnaires. It has various style sheets to manage questionnaires for PDFs, CASES, and LimeSurvey. Quexml compatible with the DDI standard for data description. Quexml 1.3.7 This version made some minor bug fixes. Idlength and Pagelength execute, and a CSS style problem in the VAS font has been fixed. Software Information: http://quexml.sourceforge.net/...

Quexml is a simple XML schema for designing questionnaires. It has various style sheets to manage questionnaires for PDFs, CASES, and LimeSurvey. Quexml compatible with the DDI standard for data description. Quexml 1.3.10 This version of the Quexmlpdf class has produced significant updates. You can now generate multiple columns in a form. Automatically divided into multiple pages (or multiple columns enabled). The PDF format has been updated. Support true grayscale output, font size corrected to consistent. Software information: http: ...

Type selection and design of bigtable NoSQL database release time: 2012.04.16 14:20 Source: Blog Author: Blog This paper introduces the selection strategy and schema design principle of Bigtable/hbase type NoSQL database system. Data scale BigTable Class database system (Hbase,cassandra, etc.) is to solve ...

Integration strategy Data integration refers to the combination of data from different systems for business users to study different industry behavior and customer behavior data processing methods. In the early days of data integration, data was limited to trading systems and their applications.   The development of business decision is guided by the decision platform, and the limited dataset provides the foundation of creating the decision platform. Data capacity and data types have grown dramatically over the past 30 years, with data warehousing technology from scratch, and infrastructure and technology to meet analysis and data storage requirements. All this has revolutionized the prospects for data integration. ...

Revised background to create professional e-commerce vertical search, as well as the original information aggregation platform to transform into online procurement wholesale trading platform. According to industry characteristics and transaction needs, the original 0 batches (small wholesale) search for revision, to adapt to the industry search trade channel, is the revised design objectives. Product managers and user experience designers who search the product line have been preparing for six months. Project team members will be on the existing functional requirements, information architecture, visual color, user experience, such as long perspective, multi-angle analysis. Strive to 1688.com ...

Integration strategy Data integration refers to the combination of data from different systems for business users to study different industry behavior and customer behavior data processing methods. In the early days of data integration, data was limited to trading systems and their applications.   The development of business decision is guided by the decision platform, and the limited dataset provides the foundation of creating the decision platform. Data capacity and data types have grown dramatically over the past 30 years, with data warehousing technology from scratch, and infrastructure and technology to meet analysis and data storage requirements. All this has revolutionized the prospects for data integration. ...

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 ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

Recently focused on Hadoop, so I've also been looking at Hadoop related projects.        HBase is an Open-source project based on Hadoop and an implementation of Google's bigtable. What is BigTable? Google's monitors the full explanation. Literally is a big table, in fact, and we imagine the traditional database table is still somewhat different. Loose data can be said to be between M ...