Tag Archives: analytics

Telefonica and Big Data

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In addition, he notes there are a number of analytics experiments underway at different operating units, including Vivo in Brazil, which is pushing ahead with projects around location analysis, Web navigation analysis based on deep packet inspection (DPI) data, and call center message analysis.

via . Telefonica Battles Big Data Hype

I found the mention of DPI in their big data strategy rather interesting as well as location analysis.  The kind of location analysis a telecom operator can perform on vast populations is mind boggling.

Telco Analytics Firm Raises $30M

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Scranage also notes that, unlike other data collection and analysis systems, Guavus’s software screens the vast volumes of data created constantly by networks, devices and subscribers for particular data types, stripping out vast quantities of data that provide no insight and feeding only “useful” data into analytics engines.

via Light Reading – Telco Analytics Firm Raises $30M.

For Riot Games, Big Data Is Serious Business

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Once Riot Games opened up a European base of operations, it couldn’t fit all its data into one instance of mySQL. “So we created a separate instance. That was a bad precedent and we needed to change that,” Livingston added. “We moved quickly to Hadoop as a scalable low-cost storage system. We use Hive to overlay an SQL-type interface on top of the Hadoop File System.” That helped scale up, but “the downside is that it takes a long time to spin up to do your queries, some taking a minute or more to complete, so it is difficult to iterate and build complex queries using Hive.”

via For Riot Games, Big Data Is Serious Business.

Part of the challenge is to maintain a level playing field for all players, yet constantly tweaking game play and game mechanics to make it more interesting for returning players: “We need lots of insight so that competitive play will continue to happen. We don’t want different versions of the game for pros and noobs, for example.”

Dig pcap File For Fun and Productivity

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To solve the problem I used Perl (feel free to use your favorite language) to open a pcap file and do some analysis. Let us look at finding sessions where the client sent data but the server didn’t send any data in response. To make it easy I’ve included all the steps I took and, where appropriate, the code. Since the point is to illustrate how to use script language like Perl to do the job, the code is greatly simplified. For the convenience of reader, the complete code is listed at the end.

Via Dig pcap File For Fun and Productivity | BreakingPoint.

Now E-Textbooks Can Report Back on Students’ Reading Habits

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Those details are what will make the new CourseSmart service tick. Say a student uses an introductory psychology e-textbook. The book will be integrated into the college’s course-management system. It will track students’ behavior: how much time they spend reading, how many pages they view, and how many notes and highlights they make. That data will get crunched into an engagement score for each student.

The idea is that faculty members can reach out to students showing low engagement, says Sean Devine, chief executive of CourseSmart. And colleges can evaluate the return they are getting on investments in digital materials.

via Now E-Textbooks Can Report Back on Students’ Reading Habits – Wired Campus – The Chronicle of Higher Education.

Web Analytics Plans & Pricing: Newsbeat Monitoring Plans for Publishers

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What are “concurrent” visitors?

Concurrent visitors are the total number of people simultaneously on your site at any one moment in time.

What is a “seat”?

A seat is an individual license to a personalized newsbeat dashboard and account. Seats give you complete flexibility over who sees what, so everyone is focused on what’s important to them. Each of the newsbeat plans comes with a preset number of seats, but you can add seats at any time.

via Web Analytics Plans & Pricing: Newsbeat Monitoring Plans for Publishers.

Internet Real Time Lab (IRT)

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The Internet Real-Time Lab (IRT) in the Computer Science Department at Columbia University conducts research in the areas of Internet and multimedia services: Internet telephony, wireless and mobile networks, streaming, quality of service, resource reservation, dynamic pricing for the Internet, network measurement and reliability, service location, network security, media on demand, content distribution networks, multicast networks and ubiquitous and context-aware computing and communication.

via Internet Real Time Lab (IRT) – Home.