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  • Forbes Article on Big Data and Java Embedded Technology

    - by hinkmond
    Whoa, cool! Forbes magazine has an online article about what I've been blogging about all this time: Big Data and Java Embedded Technology, tying it all together with a big bow, connecting small devices to the data center. See: Billions of Java Embedded Devices Here's a quote: By the end of the decade we could see tens of billions of new Internet-connected devices... with billions of Internet- connected devices generating Big Data, are the next big thing. ... That’s why Oracle has put together an ecosystem of solutions for this new, Big Data-oriented device-to-data center world: secure, powerful, and adaptable embedded Java for intelligent devices, integrated middleware... This is the next big thing. Java SE Embedded Technology is something to watch for in the new year. Start developing for it now to get a head-start... Hinkmond

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  • Google Analytics with multiple environments

    - by marcof
    We are planning to use Google Analytics in our organization and I am in charge for setting it up. I was wondering how to deal with multiple environments. We sure do not want to collect data during development and QA (or maybe collect data to a different analytics account), but we want to when the site goes to production (obviously). How do you deal with multiple environments and Google Analytics ? Do you setup multiple accounts for Google Analytics and use either one depending on the environement ? We're using ASP.NET 2.0, if that matters.

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  • Free and Innovative Website Analytics Tools

    Many people think of free web analytics in terms of Google Analytics, well, this is understandable given the big name that Google is. Unknown to many, there are numerous web analytics tools out there that are free and very innovative. These web statistics tools measure everything from real-time visitor tracking, to search engine traffic and user behavior.

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  • SQL Server and the XML Data Type : Data Manipulation

    The introduction of the xml data type, with its own set of methods for processing xml data, made it possible for SQL Server developers to create columns and variables of the type xml. Deanna Dicken examines the modify() method, which provides for data manipulation of the XML data stored in the xml data type via XML DML statements.

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  • Une extension pour bloquer Google Analytics signée Google fonctionne avec Chrome, Firefox et Interne

    Une extension pour bloquer Google Analytics Signée Google fonctionne avec Chrome, Firefox et Internet Explorer : initiative sincère ou marketing ? Qui l'eut cru ? Google a imaginé une extension qui permet de bloquer Google Analytics, un de ses services d'analyse d'audiences proposés aux webmestres. Google Analytics se présente sous la forme d'un code JavaScript à insérer dans une page web et permet de collecter des informations sur les visiteurs? notamment sur la manière dont ils sont arrivés sur le site. Baptisée Analytics Opt-out Browser Add-on, l'extension permet de ne pas envoyer ces informations au propriétaire du site ? ni a priori à Goog...

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  • Google analytics/adwords account and leaking of private data

    - by Satellite
    I am frequently asked to log into clients google analytics and adwords accounts. If I forget to log out before visiting other google properties (google search, youtube etc), this leaves tracks of my views/searches etc, exposing my activities to the client. Summary: Client gives me access to their Google Analytics / AdWords account I log into clients Analytics account and do some stuff Then in another tab I perform some related google searches to solve some related issues Issues solved, I then close the Analytics tab I then visit google.com, perform some unrelated searches I then visit YouTube, view some unrelated videos All Web and YouTube searches are recorded in clients google account, thus leaking potentially sensitive data Even assuming that I remember to log out correctly at step 4 (as I do 95% of the time), anything I do at step 3 is exposed to the client. I would be surprised if this is not a very common issue. I'm looking for a technical solution to ensure that this can never happen. Any ideas?

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  • Video: Analyzing Big Data using Oracle R Enterprise

    - by Sherry LaMonica
    Learn how Oracle R Enterprise is used to generate new insight and new value to business, answering not only what happened, but why it happened. View this YouTube Oracle Channel video overview describing how analyzing big data using Oracle R Enterprise is different from other analytics tools at Oracle. Oracle R Enterprise (ORE),  a component of the Oracle Advanced Analytics Option, couples the wealth of analytics packages in R with the performance, scalability, and security of Oracle Database. ORE executes base R functions transparently on database data without having to pull data from Oracle Database. As an embedded component of the database, Oracle R Enterprise can run your R script and open source packages via embedded R where the database manages the data served to the R engine and user-controlled data parallelism. The result is faster and more secure access to data. ORE also works with the full suite of in-database analytics, providing integrated results to the analyst.

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  • Google ouvre la beta d'Analytics Mobile App et sort deux SDK pour le Google Analytics des applications Android et iOS

    Google ouvre la beta d'Analytics Mobile App Le Google Analytics pour applications Android et iOS En juin, Google avait lancé une beta privée de « Mobile Analytics App », son service permettant à la fois d'évaluer l'audience des applications mobiles et différents éléments (versions, etc.). Cette beta est désormais disponible en version publique. Première amélioration qui accompagne cette arrivée, les deux SDK pour Android et iOS ont été entièrement refaits et simplifiés pour générer des rapports en 5 minutes. [IMG]http://ftp-developpez.com/gordon-fowler/GoogleAppAnalytics.png[/IMG] Des rapports qui contiennent à présent beaucoup plus ...

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  • Unlock the Value of Big Data

    - by Mike.Hallett(at)Oracle-BI&EPM
    Partners should read this comprehensive new e-book to get advice from Oracle and industry leaders on how you can use big data to generate new business insights and make better decisions for your customers. “Big data represents an opportunity averaging 14% of current revenue.” —From the Oracle big data e-book, Meeting the Challenge of Big Data You’ll gain instant access to: Straightforward approaches for acquiring, organizing, and analyzing data Architectures and tools needed to integrate new data with your existing investments Survey data revealing how leading companies are using big data, so you can benchmark your progress Expert resources such as white papers, analyst videos, 3-D demos, and more If you want to be ready for the data deluge, Meeting the Challenge of Big Data is a must-read. Register today for the e-book and read it on your computer or Apple iPad.  

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  • Spend Analytics on a Grand Scale

    - by jacqueline.coolidge(at)oracle.com
    The Wall St. Journal reports in Billions in Bloat Uncovered in Beltway that a recent study by Government Accountability Office (GAO) has released a massive study of several programs and agencies that cost U.S. taxpayers billions of dollars each year.  This report help save $100 to $200 Billion dollars by identifying duplicate spending and ineffective programs that can be consolidated or eliminated. Now, that is spend analytics on a massive scale! It remains to be seen how actionable that information will be.  Certainly, there have been studies before that identify wasteful spending.  But, it’s a great case of the power of business intelligence and spend analytics.   Many companies do find significant savings when they implement spend and procurement analytics. What makes for an excellent spend analysis? It should be: Objective and provide visibility across programs and/or divisions A cross functional analysis that links financial with performance metrics Prescriptive and actionable Spend and procurement analytics have been HOT during the economic downturn! I expect 2011 will see many more companies get serious about spend analytics and would love to hear from companies who are willing to share their experience.

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  • The 5 Most Important Analytics Stats

    While there are hundreds of different uses for a website analytics program, there are some that can quickly indicate whether your website has a heartbeat. Most likely providing these statistics would satisfy a customer asking how the website is doing, and for a customer that doesn't have analytics on their website, the potential to have these metrics should be enough to convince the customer that they need to install website analytics.

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  • Behavior of <- NULL on lists versus data.frames for removing data

    - by Ananda Mahto
    Many R users eventually figure out lots of ways to remove elements from their data. One way is to use NULL, particularly when you want to do something like drop a column from a data.frame or drop an element from a list. Eventually, a user comes across a situation where they want to drop several columns from a data.frame at once, and they hit upon <- list(NULL) as the solution (since using <- NULL will result in an error). A data.frame is a special type of list, so it wouldn't be too tough to imagine that the approaches for removing items from a list should be the same as removing columns from a data.frame. However, they produce different results, as can be seen in the example below. ## Make some small data--two data.frames and two lists cars1 <- cars2 <- head(mtcars)[1:4] cars3 <- cars4 <- as.list(cars2) ## Demonstration that the `list(NULL)` approach works cars1[c("mpg", "cyl")] <- list(NULL) cars1 # disp hp # Mazda RX4 160 110 # Mazda RX4 Wag 160 110 # Datsun 710 108 93 # Hornet 4 Drive 258 110 # Hornet Sportabout 360 175 # Valiant 225 105 ## Demonstration that simply using `NULL` does not work cars2[c("mpg", "cyl")] <- NULL # Error in `[<-.data.frame`(`*tmp*`, c("mpg", "cyl"), value = NULL) : # replacement has 0 items, need 12 Switch to applying the same concept to a list, and compare the difference in behavior. ## Does not fully drop the items, but sets them to `NULL` cars3[c("mpg", "cyl")] <- list(NULL) # $mpg # NULL # # $cyl # NULL # # $disp # [1] 160 160 108 258 360 225 # # $hp # [1] 110 110 93 110 175 105 ## *Does* drop the `list` items while this would ## have produced an error with a `data.frame` cars4[c("mpg", "cyl")] <- NULL # $disp # [1] 160 160 108 258 360 225 # # $hp # [1] 110 110 93 110 175 105 The main questions I have are, if a data.frame is a list, why does it behave so differently in this scenario? Is there a foolproof way of knowing when an element will be dropped, when it will produce an error, and when it will simply be given a NULL value? Or do we depend on trial-and-error for this?

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  • How does jQuery stores data with .data()?

    - by TK
    I am a little confused how jQuery stores data with .data() functions. Is this something called expando? Or is this using HTML5 Web Storage although I think this is very unlikely? The documentation says: The .data() method allows us to attach data of any type to DOM elements in a way that is safe from circular references and therefore from memory leaks. As I read about expando, it seems to have a rick of memory leak. Unfortunately my skills are not enough to read and understand jQuery code itself, but I want to know how jQuery stores such data by using data(). http://api.jquery.com/data/

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  • ASP.Net Layered app - Share Entity Data Model amongst layers

    - by Chris Klepeis
    How can I share the auto-generated entity data model (generated object classes) amongst all layers of my C# web app whilst only granting query access in the data layer? This uses the typical 3 layer approach: data, business, presentation. My data layer returns an IEnumerable<T> to my business layer, but I cannot return type T to the presentation layer because I do not want the presentation layer to know of the existence of the data layer - which is where the entity framework auto-generated my classes. It was recommended to have a seperate layer with just the data model, but I'm unsure how to seperate the data model from the query functionality the entity framework provides.

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  • How does jQuery store data with .data()?

    - by TK
    I am a little confused how jQuery stores data with .data() functions. Is this something called expando? Or is this using HTML5 Web Storage although I think this is very unlikely? The documentation says: The .data() method allows us to attach data of any type to DOM elements in a way that is safe from circular references and therefore from memory leaks. As I read about expando, it seems to have a rick of memory leak. Unfortunately my skills are not enough to read and understand jQuery code itself, but I want to know how jQuery stores such data by using data(). http://api.jquery.com/data/

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  • Accessing and Updating Data in ASP.NET: Filtering Data Using a CheckBoxList

    Filtering Database Data with Parameters, an earlier installment in this article series, showed how to filter the data returned by ASP.NET's data source controls. In a nutshell, the data source controls can include parameterized queries whose parameter values are defined via parameter controls. For example, the SqlDataSource can include a parameterized SelectCommand, such as: SELECT * FROM Books WHERE Price > @Price. Here, @Price is a parameter; the value for a parameter can be defined declaratively using a parameter control. ASP.NET offers a variety of parameter controls, including ones that use hard-coded values, ones that retrieve values from the querystring, and ones that retrieve values from session, and others. Perhaps the most useful parameter control is the ControlParameter, which retrieves its value from a Web control on the page. Using the ControlParameter we can filter the data returned by the data source control based on the end user's input. While the ControlParameter works well with most types of Web controls, it does not work as expected with the CheckBoxList control. The ControlParameter is designed to retrieve a single property value from the specified Web control, but the CheckBoxList control does not have a property that returns all of the values of its selected items in a form that the CheckBoxList control can use. Moreover, if you are using the selected CheckBoxList items to query a database you'll quickly find that SQL does not offer out of the box functionality for filtering results based on a user-supplied list of filter criteria. The good news is that with a little bit of effort it is possible to filter data based on the end user's selections in a CheckBoxList control. This article starts with a look at how to get SQL to filter data based on a user-supplied, comma-delimited list of values. Next, it shows how to programmatically construct a comma-delimited list that represents the selected CheckBoxList values and pass that list into the SQL query. Finally, we'll explore creating a custom parameter control to handle this logic declaratively. Read on to learn more! Read More >

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  • SQLAuthority News – Fast Track Data Warehouse 3.0 Reference Guide

    - by pinaldave
    http://msdn.microsoft.com/en-us/library/gg605238.aspx I am very excited that Fast Track Data Warehouse 3.0 reference guide has been announced. As a consultant I have always enjoyed working with Fast Track Data Warehouse project as it truly expresses the potential of the SQL Server Engine. Here is few details of the enhancement of the Fast Track Data Warehouse 3.0 reference architecture. The SQL Server Fast Track Data Warehouse initiative provides a basic methodology and concrete examples for the deployment of balanced hardware and database configuration for a data warehousing workload. Balance is measured across the key components of a SQL Server installation; storage, server, application settings, and configuration settings for each component are evaluated. Description Note FTDW 3.0 Architecture Basic component architecture for FT 3.0 based systems. New Memory Guidelines Minimum and maximum tested memory configurations by server socket count. Additional Startup Options Notes for T-834 and setting for Lock Pages in Memory. Storage Configuration RAID1+0 now standard (RAID1 was used in FT 2.0). Evaluating Fragmentation Query provided for evaluating logical fragmentation. Loading Data Additional options for CI table loads. MCR Additional detail and explanation of FTDW MCR Rating. Read white paper on fast track data warehousing. Reference: Pinal Dave (http://blog.SQLAuthority.com)   Filed under: Business Intelligence, Data Warehousing, PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, SQLAuthority News, T SQL, Technology

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  • Accessing and Updating Data in ASP.NET: Filtering Data Using a CheckBoxList

    Filtering Database Data with Parameters, an earlier installment in this article series, showed how to filter the data returned by ASP.NET's data source controls. In a nutshell, the data source controls can include parameterized queries whose parameter values are defined via parameter controls. For example, the SqlDataSource can include a parameterized SelectCommand, such as: SELECT * FROM Books WHERE Price > @Price. Here, @Price is a parameter; the value for a parameter can be defined declaratively using a parameter control. ASP.NET offers a variety of parameter controls, including ones that use hard-coded values, ones that retrieve values from the querystring, and ones that retrieve values from session, and others. Perhaps the most useful parameter control is the ControlParameter, which retrieves its value from a Web control on the page. Using the ControlParameter we can filter the data returned by the data source control based on the end user's input. While the ControlParameter works well with most types of Web controls, it does not work as expected with the CheckBoxList control. The ControlParameter is designed to retrieve a single property value from the specified Web control, but the CheckBoxList control does not have a property that returns all of the values of its selected items in a form that the CheckBoxList control can use. Moreover, if you are using the selected CheckBoxList items to query a database you'll quickly find that SQL does not offer out of the box functionality for filtering results based on a user-supplied list of filter criteria. The good news is that with a little bit of effort it is possible to filter data based on the end user's selections in a CheckBoxList control. This article starts with a look at how to get SQL to filter data based on a user-supplied, comma-delimited list of values. Next, it shows how to programmatically construct a comma-delimited list that represents the selected CheckBoxList values and pass that list into the SQL query. Finally, we'll explore creating a custom parameter control to handle this logic declaratively. Read on to learn more! Read More >

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  • How to use Google Analytics to track a development and production versions of the same site on different servers?

    - by Abe
    I have a website with two versions, one for production and one for development (testing new features). All of the code is under version control and the websites are on separate servers. Currently, I have the same Google Analytics Tracking code used on both sites. Since the code is under version control, it would be ideal to either have an if I am on production, use this code; else if on development server use that code clause. But I suspect that Google makes it easier to do something like this. I see that there are many ways to configure a GA tracking code, e.g. "a single domain" vs. "multiple top level domains". But it is not clear to me how to set this up. Also, if tracking code configured for a single domain has been on the development server, have I been picking up traffic to both sites, or does GA just ignore the second domain that I haven't registered?

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  • Should I use the same Google Analytics code for my website and native mobile app?

    - by Drew
    My website is a forum. The native mobile app's only function is to access the forum and provide a better experience than can be provided through the browser. Given that the same content is being accessed, should I use the same Google Analytics tracking code? Or should I create a new property and select "Not a website" when it asks for the website? I was not able to find anything that discussed this and what would be best practice, given that the same content is being accessed. Thanks!

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  • Why is my google translate data not showing up in analytics?

    - by learnvst
    I have a google translate widget on my website with gaTrack set to true and the correct gaId, but no translate events show up in analytics under content Events Overview after a week of the widget being live. The code snippet below was auto generated by the translate website, and works fine on the site. Any ideas why I'm not getting any translate events data? <li> <div id="google_translate_element"></div><script type="text/javascript"> function googleTranslateElementInit() { new google.translate.TranslateElement({pageLanguage: 'en', layout: google.translate.TranslateElement.InlineLayout.SIMPLE, gaTrack: true, gaId: 'UA-blahblah'}, 'google_translate_element'); } </script><script type="text/javascript" src="//translate.google.com/translate_a/element.js?cb=googleTranslateElementInit"></script> </li>

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  • Is there a ways to see granular per-visit data in Google Analytics?

    - by jakub.g
    I've started using Google Analytics very recently and I'm a bit lost with the sea of options (have been using Sitemeter before for some time). I've clicked through the service a lot but couldn't find what I'm accustomed to. I can see multitude of aggregated statistics in GA like: charts of browser share lists of country share lists of most visited URLs within the page and so on, but I would actually like to analyze each of the visits themselves. Something like: User X, France, Chrome, 7 pageviews between 18:01 and 18:15, entered on a.htm and exited on b.htm User Y, UK, Firefox, 1 pageview at 18:20, entered on c.htm Is there an easy way to see the reports in this way (perhaps by clicking a link to a separate page to see that particular session's stats)? How to navigate there if so?

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  • Google analytics: how many visitors have visited n times?

    - by Riley
    I'm trying to guess how many loyal users I have by counting the number of people that have visited the site 10 times. How can I answer this question with Google Analytics? "Visitor Loyalty" is a tempting answer, but the label for loyalty is "Visits that were the visitor's nth visit," and I want something more like "Visitors that visited n times." For example, we have 40 visits in the "51-100" visit range, but I think that could be a single user who visited 91 times. Or two users who visited 71 times each. The whole chart makes a good logic puzzle (I wonder if there's a unique solution) but doesn't easily answer the question I have.

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