07 Sep 2010 04:00:00 +0000

The Google App Engine launched in April 2008, and included a method to upload bulk data stored in CSV files using Python. Java language support was added a year later. To date, the App Engine lacks Java-native support for bulk uploads and CSV remains the only data storage medium supported by the bulk uploading tool. Explore the various methods to store data from XML documents on the App Engine persistent database in this article.

07 Sep 2010 04:00:00 +0000

A number of websites cater to non-profits that provide easily set-up and used forms for taking polls and collecting data. This tutorial introduces a simple architecture for designing similar applications for Android -- dynamic user interfaces that allow non-programmers to collect data from mobile users. You will create an example forms engine in this tutorial with both server and mobile sides.

26 Aug 2010 04:00:00 +0000

Learn how to use the XML support in PHP to read the data from the XML exported from Microsoft Excel 2003. Also, learn to export data from your PHP application as Excel XML so your users can see their data in a real spreadsheet.

24 Aug 2010 04:00:00 +0000

This two-part article series examines techniques for handling two of the most common data formats found on the Internet today, XML and JavaScript Object Notation (JSON), on the Android platform. Part 1 covered the basics of XML and JSON. Part 2 examines the manner in which Webkit-hosted JavaScript code exchanges data with Java code in an Android application. This article focuses on JSON, which is demonstrated as the most capable and flexible approach.

24 Aug 2010 04:00:00 +0000

In this two-part article, explore techniques for handling two of the most common data formats used on the Internet -- XML and JavaScript Object Notation (JSON) -- on the Android platform. This first part covers the basics of XML and JSON and shows you how to build an Android application that parses and displays a Twitter status-update feed provided in both formats.

19 Aug 2010 04:00:00 +0000

This article describes how to use the extensibility features of IBM Informix to generate XML-formatted data. Sample code is included.

17 Aug 2010 04:00:00 +0000

The United States federal government has the largest annual IT budget of any organization, almost $80 billion in 2010 alone. To save money and improve services, the government is beginning to adopt a cloud first approach towards procuring new and replacement systems. The business cases and technical benefits for moving into the cloud are the same for the government as they are for other firms, only the savings and challenges are much bigger. Government agencies have two special challenges: procurement and security. This article briefly describes the procurement challenges and then jumps into advising government cloud service purchasers on the positives and negatives of security in the cloud, and how to manage their potential vendors' security risks. The security threats are covered from the government's point of view, but smart cloud vendors will take it as a preview of what questions the government might ask them and prepare accordingly.

12 Aug 2010 04:00:00 +0000

XML is increasingly becoming common as a means for information exchange. A web service application is an example of the type of application that uses XML to exchange information. Any business intelligence product or solution must have sufficient capability to query information that could be in the form of XML. Learn how IBM Cognos 8 delivers a comprehensive, flexible, secure, and scalable solution to query and report on XML data sources, including web services, by leveraging the IBM Cognos Virtual View Manager.

05 Aug 2010 04:00:00 +0000

This second article in the series focuses on the integration of InfoSphere(TM) Streams and WebSphere(R) ILOG(R) JRules. InfoSphere Streams is a high-performance stream processing engine that is capable of performing calculations and analysis of data streams in real time. ILOG JRules is a business rules management system that enables the creation of rule-based applications. This article presents a simple, algorithmic trading scenario in which InfoSphere Streams operate on a stream of market data and, under certain circumstances, a business rule is invoked using ILOG JRules. In order to perform this task, you will learn how to integrate the two products together in an efficient manner.

03 Aug 2010 04:00:00 +0000

The open source memcached tool is a cache for storing frequently used information to save you from loading (and processing) information from slower sources, such as disks or a database. It can be deployed in either a dedicated situation, or as a method of using up spare memory in an existing environment. Despite the simplicity of memcached, it is sometimes used incorrectly, or it is used as a solution in the wrong type of environment. Learn when it is best to take advantage of using memcached.