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IBM Many Eyes

IBM Many Eyes

Data Marketplace The real reason why Steve Jobs hates Flash There has been some ... interesting news from the tech sector this week. Firstly, the Apple vs. Adobe vendetta gets even nastier, with a public letter from Steve Jobs explaining why Adobe's Flash multimedia format will not ever be allowed into the garden of pure ideology that is the iPhone/iPad fork of OSX. Secondly, Hewlett-Packard are buying Palm, apparently for Palm's WebOS — with rumours of plans to deploy a range of WebOS tablets to rival the iPad — at the same time, they're killing their forthcoming Windows 7 slate, just as Microsoft are killing the Courier tablet project. Finally, gizmodo (not, perhaps, an unbiased source in this regard given current events) have a fun essay discussing Apple's Worldwide Loyalty Team, the internal unit tasked with hunting down and stopping leaks. I've got a theory, and it's this: Steve Jobs believes he's gambling Apple's future — the future of a corporation with a market cap well over US $200Bn — on an all-or-nothing push into a new market.

AWS Pubic Data Sets A data set containing Google Books n-gram corpora. This data set is freely available on Amazon S3 in a Hadoop friendly file format and is licensed under a Creative Commons Attribution 3.0 Unported License. The original dataset is available from Last Modified: Jan 12, 2015 21:46 PM GMT High resolution climate data to help assess the impacts of climate change primarily on agriculture. These open access datasets of climate projections will help researchers make climate change impact assessments. Last Modified: Dec 8, 2014 18:49 PM GMT A corpus of web crawl data composed of over 5 billion web pages. Last Modified: Mar 17, 2014 17:51 PM GMT Three NASA NEX datasets are now available, including climate projections and satellite images of Earth. Last Modified: Nov 12, 2013 13:27 PM GMT The Ensembl project produces genome databases for human as well as over 50 other species, and makes this information freely available. Last Modified: Oct 8, 2013 14:38 PM GMT

BigQuery - Google Code Querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery solves this problem by enabling super-fast SQL queries against append-only tables using the processing power of Google's infrastructure. Simply move your data into BigQuery and let us handle the hard work. You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data. You can access BigQuery by using a web UI or a command-line tool, or by making calls to the BigQuery REST API using a variety of client libraries such as Java, .NET or Python. Get started now with creating an app, running a web query or using the command-line tool, or read on for more information about BigQuery fundamentals and how you can work with the product. BigQuery fundamentals There are four main concepts you should understand when using BigQuery. Projects Tables Tables contain your data in BigQuery. Datasets Jobs

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