There is still point of sale information of course, as well as other caches of rich data (census, scientific research results, medical data, etc.).
The UI allows students and teachers to collaborate, share information, personalize learning, learn formally and informally, and facilitate the critical learning operations in a school system (professional learning, share data, etc.).
It is also uncertain that the technologies ostensibly to be "flowed-back" to the United States in exchange for the F-16 technical data, etc. will be of comparable value to the U.S. defense industry as will, for example, insights provided to the Japanese into U.S. sophisticated design and manufacturing techniques.
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Indeed, virtualization, cloud infrastructure, the changing role of data centers, etc.
Transactional systems, data warehouses, data marts, etc.
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As long as you have access to data through some data tool (like Tableau, Spotfire, Pentahoe, Splunk, Microstrategy, Business Object etc), you can download the data into excel to analyze.
Thanks to Magellan's new cloud service, all of your data -- recent destinations, etc.
These folks are grilled about the data by upper management and all aspects of the program (trial design, data analysis, adverse events, etc.) are reviewed.
Data previously thought of as information poor or impossible to analyze (e.g. big unstructured data sets, log files, etc.) now offer new value and business potential.
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Bring high-end storage features (automated data tiering, deduplication, virtualization, etc.) to the mid enterprise market.
More people use their tablets at night, after work, smartphone data usage spikes during the morning commute, etc.
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Each country has been rated across seven key criteria, covering the breadth of law, EU adequacy, data transfer limitations, government surveillance activities, etc.
Keep in mind that the final ranking is based on raw data (Google hits, Twitter followers, etc), not how much we like these folks.
Backtesting itself is not a crime when the calculations are performed correctly and there is full disclosure about fees, data sources, linking various sources together, etc.
These acquisitions include Jambool (a social gaming site), Metaweb (a semantic search engine), and Angstro (a social networking startup that pulls data from Facebook, Twitter, LinkedIn, etc).
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The doctors go online and get the patient's data (medical history, drug allergies, etc), which happens to be stored on the computer of a clinic on the other side of the world.
First entities like company names, products, people, places, etc. are extracted from the unstructured data.
Companies will usually have tightly managed internal networks, with firewalls, encryption, etc. for ensuring security of their data.
The outputs might be numbers represent complex data structures: images, sounds, network packets, etc.
Studies have compared all the different types of observations (including surface weather stations, balloons and aeroplanes, etc) ingested in weather models and found that Metop data makes the largest contribution to the accuracy of 24-hour lookahead, at around 25%.
We had heard this rumor on the internets a little while ago, and now it looks like Swatch is really going to come out with a SPOT watch (SPOT, of course, being Microsoft's Smart Personal Object Technology that uses FM radio signals to send data to watches, like news, stocks, instant messages, etc.).
What data do they have (opinions, needs, experiences, perspectives, etc.) that are relevant to the challenge and to my response?
The depth of data that these systems could deliver (unbroken streams of heart rate readings etc.) would give doctors a fuller picture of the patient's situation, as well as suggest environmental issues that potentially affect our health.
Clearly, eBay has high-functioning systems in place for data collection, real-time analysis, targeted distribution, automated response, etc.
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This is a real product, HomeCloud DHM (a consumer network appliance that facilitates sharing and synchronization of data among home devices such as computers, phones, tablets, network-compatible TVs, etc.) and WSTL should begin earning real money in mid-2011.
Some data is not really important because of obvious biases (the equipment failed, the reagents were contaminated, etc.).
Now, consider that most of what we think of as "big data" is created by deliberate human action: phone calls, Web logs, credit card transactions, etc.
These data sets align with traditional goals of an enterprise to optimize business processes (sales, finance, HR, etc.) in order to drive revenue growth and profitability.
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