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Anzo views Web Dashboards That Do Much More Looking to do some serious analysis of data scattered across Excel spreadsheets? Anzo web dashboards give you everything you'd expect from a state-of-the-art business reporting tool, and much more. Like most reporting tools, Anzo lets non-technical users create new tables, charts, and drill-downs in minutes. Big data: Global good or zero-sum arms race? Last month, Netezza CEO Jim Baum gave a talk at the GigaOM big data event. If I’m honest, I was checking my email and missed most of it, but I do remember tuning in just in time to hear him say something like “big data is going to have a huge economic impact.” I spend most of my days considering how the component pieces of this big data transformation will impact the corporate enterprise. Baum’s comment got me thinking, though, about a more meta question: Is “big data” a key to some kind of industrial revolution reboot? Or, is it just going to be expensive table stakes for previously simple-to-understand businesses?

5 Predictions for Online Data In 2011 Josh Jones-Dilworth is the founder and CEO of Jones-Dilworth, Inc. a PR consultancy focused on bringing early stage technologies to market. He blogs at A lot has changed since this post’s forbearer last December, so much so that I think it’s safe to say that data, particularly as it relates to marketing and social media, is no longer an annual topic, but rather a daily one. Below, I outline five data-driven trends that will shape our coming year. 1. “Data scientist” Is the New Community Manager

Big Data won't solve your company's problems The reams of data available to companies are only as useful as the people working with them. By Ethan Rouen, contributor FORTUNE -- "Oh, people can come up with statistics to prove anything. Fourteen percent of people know that." – Homer Simpson Protovis Protovis composes custom views of data with simple marks such as bars and dots. Unlike low-level graphics libraries that quickly become tedious for visualization, Protovis defines marks through dynamic properties that encode data, allowing inheritance, scales and layouts to simplify construction. Protovis is free and open-source, provided under the BSD License. It uses JavaScript and SVG for web-native visualizations; no plugin required (though you will need a modern web browser)! Although programming experience is helpful, Protovis is mostly declarative and designed to be learned by example. Protovis is no longer under active development.The final release of Protovis was v3.3.1 (4.7 MB).

IT Looks for New Tools to Exploit 'Big Data' Computerworld - As tools for real-time and batch analysis of so-called big data emerge, IT operations are gaining the ability to track the activities, habits and movements of customers with great precision. Experts say many businesses want to better analyze data stored in emerging massively parallel databases like the open-source Apache Hadoop framework to learn where their customers are employed, what they do in off-hours and who they spend time with. The information could help companies tailor Web-based advertising and marketing materials to specific customers. "[The trend] will change our existing notions of privacy.

FTC Fair Information Practice The United States Federal Trade Commission's Fair Information Practice Principles (FIPPs) are guidelines that represent widely accepted concepts concerning fair information practice in an electronic marketplace.[1] Introduction[edit] FTC Fair Information Practice Principles are the result of the Commission's inquiry into the manner in which online entities collect and use personal information and safeguards to assure that practice is fair and provides adequate information privacy protection. The FTC has been studying online privacy issues since 1995, and in its 1998 report,[2] the Commission described the widely accepted Fair Information Practice Principles of Notice, Choice, Access, and Security.[1] The Commission also identified Enforcement, the use of a reliable mechanism to provide sanctions for noncompliance as a critical component of any governmental or self-regulatory program to protect online privacy.[1]

What Does Big Data Mean to Infrastructure Professionals? Big data means the amount of data you’re working with today will look trivial within five years.Huge amounts of data will be kept longer and have way more value than today’s archived data.Business people will covet a new breed of alpha geeks. You will need new skills around data science, new types of programming, more math and statistics skills and data hackers…lots of data hackers.You are going to have to develop new techniques to access, secure, move, analyze, process, visualize and enhance data; in near real time.You will be minimizing data movement wherever possible by moving function to the data instead of data to function. You will be leveraging or inventing specialized capabilities to do certain types of processing- e.g. early recognition of images or content types – so you can do some processing close to the head.The cloud will become the compute and storage platform for big data which will be populated by mobile devices and social networks. via:

Data hand tools The flowering of data science has both driven, and been driven by, an explosion of powerful tools. R provides a great platform for doing statistical analysis, Hadoop provides a framework for orchestrating large clusters to solve problems in parallel, and many NoSQL databases exist for storing huge amounts of unstructured data. The heavy machinery for serious number crunching includes perennials such as Mathematica, Matlab, and Octave, most of which have been extended for use with large clusters and other big iron. Information: Strata Online Conference April 2011 - O'Reilly Conferences, April 06 Why an online conference? The O'Reilly Strata Online Conference provides an ongoing forum for exploring the latest issues, without the expense or inconvenience of travel. It's our way of bringing Strata to your desktop and keeping the conversation alive throughout the year. How does it work? In an online conference, participants log on and attend sessions, enter into discussions with other participants and presenters using the live text chat, and are able to pose questions and interact with people from all over the world. It has a similar structure to a physical conference, except that you hear the speakers discuss topics and watch their slide presentations via your computer from the convenience of your office or home.

Sunlight Labs: Blog - The Coming Government Data Flood Government is releasing data at a breakneck pace, and it is just getting started. One interesting side effect of our National Data Catalog is that we're regularly parsing all of the data on, and we're able to do interesting things with the aggregate metadata. By parsing out the release date for each dataset on, and grouping each release by quarter though it's easy to see that since the second quarter of 2009-- when was released, the federal government has released more raw datasets than it ever has in the past. Take a look at what's happened after launched: Now, granted, like all government data-- it's a little messy.

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