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30 Places to Find Open Data on the Web. Finding an interesting data set and a story it tells can be the most difficult part of producing an infographic or data visualization.

30 Places to Find Open Data on the Web

Data visualization is the end artifact, but it involves multiple steps – finding reliable data, getting the data in the right format, cleaning it up (an often underestimated step in the amount of time it takes!) And then finding the story you will eventually visualize. Following is a list useful resources for finding data. Your needs will vary from one project to another, but this list is a great place to start — and bookmark. 1. 5 companies turning your data into dollars. Big data and the marketing world go together like peanut butter and jelly.

5 companies turning your data into dollars

Marketers want to present their brands in the most-effective manner possible and always put the right ad in front of the right person. In theory, big data makes that possible at a whole new level. Today’s analytic techniques and technologies can tell marketers not only what campaigns are working, but also where to spend next and — in some cases — the very language to use on their web sites. Here are five companies you’ll likely be hearing a lot more about if you’re not already a user. 1. Most people in the directed marketing world have heard about Acxiom — it has been around for more than forty years and has lots of identity data about people — but they’re about to think about the company in a whole new light if new CEO Scott Howe has his way. Phil Mui. Big data is cheap and easy. Big data is not expensive.

Big data is cheap and easy

You can process 10 terabytes of data per year on collocated servers using open source tools (Python - I do it in Perl), using your own home-made Hadoop system if needed, to score 100 billion transactions, all for less than $1,000 per year. It requires a bit of optimization in the way that you manage your files (you don't even need a database, just a bit of robust file architecture), but it is entirely doable. You can do it without expensive vendor tools, without even any tools other than programming languages, code libraries.

The required expertise can be gained for free in various data science programs or books. Analytics for all. DataWrangler. Big collection of data sites, services, marketplaces and more. DBTA 100: The Companies That Matter Most in Data. Database Trends and Applications introduces the inaugural “DBTA 100,” a list of the companies that matter most in data.

DBTA 100: The Companies That Matter Most in Data

The past several years have transformed enterprise information management, creating challenges and opportunities for companies seeking to extract value from a sea of data assets. In response to this, established IT vendors as well as legions of newer solution providers have rushed to create the tools to do just that. Regulatory mandates that specify the way information is captured and protected and how long it must be retained have caused companies to amass data at levels thought unimaginable in the past. Compounding this trend is the data pouring from machines, the web, and social media. The extent to which data is growing was underscored by a 2011 survey conducted by Unisphere Research and sponsored by Oracle among 611 members of the Independent Oracle Users Group. The Best Online Research Apps/Sites You've Never Heard Of.

Is it possible to conduct research without Google?

The Best Online Research Apps/Sites You've Never Heard Of

YES! In fact, it’s NECESSARY for college-level research. Google and other Internet search engines are great tools for researching the basics of any subject. However, when conducting research for accredited college courses, students need to find legitimate, trustworthy resources. By now, you’ve probably noticed that we love making lists, especially when it comes to making learning less expensive (like how we’ve found online colleges that offer laptops to its students). Artcyclopedia – If you’re looking for information on artists or art movements, Artcyclopedia is a great place to begin. BioMedCentral – BioMedCentral is an archive of over 170 biology, chemistry and medical journals. FindArticles.com – FindArticles has the text of articles from about 500 print periodicals with coverage back to 1998, and usage is completely free of charge. INFOMINE – INFOMINE is a virtual library of Internet resources. U.S.

Did you enjoy this article? Welcome to DataThief. Vita.had.co.nz/papers/tidy-data.pdf. Will Google Big Query Transform Big Data Analysis? - Software - Concepts Guide - Datameer v2.0 - Confluence. Datameer includes datasource integration, storage, an analytics engine, and visualization tools.

Concepts Guide - Datameer v2.0 - Confluence

Datameer is based on Hadoop which allows it to scale to accomodate and manipulate large volumes of data. It supports integrating data from many of the commonly used databases including Oracle, DB2, MySQL, and from files such as log files, twitter data feeds, CSV files, Excel files, or text files. Use Datameer to analyze customer relationship management content, web logs, customer data, sales data, social media content, and even data from Excel files. You can store that data on your own servers or use a service available on the cloud such as Amazon Web Services. Datameer provides a familiar interactive spreadsheet-based interface that is easy to use, but also powerful so that you don’t need to turn to developers for analytics.

Key features of Datameer include: In this guide you will learn the following: TDWI -The Data Warehousing Institute. Making Data Social. Free ebook: Introducing Microsoft SQL Server 2008 R2 - Microsoft Press. Free SQL Server Training Resources.

Free SQL Server Training The internet has many free training resources for SQL Server DBA's and Developers.

Free SQL Server Training Resources

They include tutorials, whitepapers, webcasts, videos, and podcasts. Note: The organizatin of his page will eventually be changed to group training by topic first instead of SQL Server version Table of Contents Training: Labs Training: Podcasts Training: Tutorials.