PUBLIC MARKS with tag data

I still have to wonder if, in fact, outsourcing the data is a smart move for any enterprise in these troubled times. There are certainly immediate, clear cost-savings benefits to such a strategy but given that data is the heart of any enterprise one should wonder if the long-term benefits aren't diminishing.

Amount of files: About 350,000 tiles Total data size: About 1.2GB (They are totally static data.)

The YQL platform provides a single endpoint service that enables developers to query, filter and combine data across Yahoo! and beyond. YQL exposes a SQL-like SELECT syntax that that is both familiar to developers and expressive enough for getting the right data. Through the SHOW and DESC commands we enable developers to discover the available data sources and structure without opening another web browser.

What we had to work with was over 1.4 million rows of data. We used PHP to parse the content and generate an XML file we could easily work with. As lean as we could make it, the XML file was over 110MB in size. Using Processing we rendered the XML data into our visual representation. Taking millions of rows of data, we created this graph to help quickly discern what types of donations each candidate received in a side-by-side comparison.

Ever needed custom formatted sample / test data, like, bad? Well, that's the idea of the Data Generator. It's a free, open source script written in JavaScript, PHP and MySQL that lets you quickly generate large volumes of custom data in a variety of formats for use in testing software, populating databases, and scoring with girls.

Researchers need to adapt their institutions and practices in response to torrents of new data — and need to complement smart science with smart searching.

This document discusses some of the problems encountered when working with the date, time, and dateTime values from [XML Schema] when those value include (or omit) time zone offsets. Many W3C technologies rely on date and time types. Examples include the [XPathFO] specification, since it is the basis for XQuery and XSLT processing of date/time values, but the concepts affect any date / time processing.

Bear in mind that data integration and aggregation (whether large-scale or small-) are intrinsically, necessarily, kinds of data reuse. No data reuse, no data integration.