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• Google Analytics: tracking subdomains for a profile defined for a subdomain

  - by Alex G

  Hope you can help. We have set up a single property under our Google Analytics account. That property's default URL is set to subdomain1.example.com. We would now like to track multiple subdomains for example.com, under the same property. Seems easy enough: we just need to add _gaq.push(['_setDomainName', 'example.com']); to our tracking code, right? But my question is: does it matter if a) we don't need to track www.example.com (this is tracked under a seperate account and property) and b) the default URL for our property is set to subdomain1.example.com? Will either of these have any impact on data collection?

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• Sudden drop of pageviews/visit and increase of bounce rate in Analytics

  - by Tebb

  Google analytics stats: 04 june 2012 Visits: 4.423 Unique visitors: 3.558 Pageviews: 77.352 Pageviews / visit: 17,49 Visit length: 00:06:26 Bounce rate: 1,09% 05 june 2012 Visits: 4.652 Unique visitors: 3.825 Pageviews: 45.087 Pageviews / visit: 9,69 Visit length: 00:06:45 Bounce rate: 19,60% From one day to another the bounce rate went from 1% to 19%, the pageviews dropped by half so did the pageviews/visit. The only thing I changed (If I remember correctly) on the site, was an advertisment that used a javascript. Could this be the reason? and, if it is, how can I know which one is the real stats?

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• Google Analytics: Track user usage and flow

  - by Quintin Par

  Can someone help to query Google analytics to track a specific user behavior and usage pattern? Currently I pass user id’s to GA as _setCustomVar(2, 'id', id, 1); This is session based. But I am yet to master how I can utilize this to view usage pattern & behavior for the passed id. Say, I need to understand the visualization flow for one id or the page view count for that id etc Rephrasing, can I filter all existing reports for a specific id that I can select?

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• Google Analytics w3wp.exe?

  - by s15199d

  In this link Google defines a Visit. The key part that interests me now, is this: "If a user is inactive on your site for 30 minutes or more, any future activity will be attributed to a new session." Would an idle user (e.g. an employee whose PC is left on over the weekend) record "activity" as a result of the w3wp.exe process recycling? Our site caching model refreshes every 30 minutes. Could this trigger "activity" for an idle user? I've asked this on the Google Analytics forum a week ago and no response.

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• Tracking a single page on another domain in Google Analytics

  - by Ross

  I have access to edit a 'mini-site' hosted on our organisation's parent site. I'd like to track this page using Google Analytics, however I don't have access to the front page so I can't verify this as my domain. Using the tracking code for our main site works, however I don't want this data to be confused with similarly named pages on our site (for example, our mini-site is at /radio, and if we had a /radio at our main site this would be counted as the same). Has anyone been in this situation before? I'd like to just redirect visitors to our mini-site to our main site, seeing as it ranks higher in Google, but I've been told to maintain a separate site with our main features.

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• Powermapper alternatives and google analytics?

  - by rugbert

  Whats a good application to map the hierarchical structure of a website and maybe get some google analytic action going on? Powermapper is pretty expensive and the trial version didnt seem particularly good at importing google analytics CSV files as advertised. In fact, out of the 1000 pages mapped, exactly 0 were successfully imported. I dont really need all the features Powermapper offers anyway, so the price tag is a bit much. All I really need is like, a simple visual representation of my (automatically generated) site structure (like a hierarchical site structure) and the ability to integrate my google analytic stats (page views mostly) with it.

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• Google Analytics Funnel problems

  - by Alex

  I have a problem with the funnels in Google Analytics. So I have a e-commerce website that I want to track the user path to a purchase. I want GA to track if a user goes trough these steps [Item page]-[Purchase]-[Checkout]. I thought this could be done by funnels and my setup currently now consist of: Step 1: [Item page] (Required) Step 2: [Purchase] Goal: [Checkout] But when I go to the "Funnel Visualization Report" the following shows. [Item page] Visits: 150 [Purchase page] Visits: 170 [Checkout] Visits: 32 How can the [Purchase page] be higher than the [Item page]? I searched the internet over, and found something called Horizontal Funnels but this doesn't show the correct numbers, again the purchase and checkout steps are higher than the item page. So somehow it doesn't need step 1, to fulfill the funnels/goals. What am I doing wrong?

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• How Do You Actually Model Data?

  Since the 1970’s Developers, Analysts and DBAs have been able to represent concepts and relations in the form of data through the use of generic symbols.  But what is data modeling?  The first time I actually heard this term I could not understand why anyone would want to display a computer on a fashion show runway. Hey, what do you expect? At that time I was a freshman in community college, and obviously this was a long time ago.  I have since had the chance to learn what data modeling truly is through using it. Data modeling is a process of breaking down information and/or requirements in to common categories called objects. Once objects start being defined then relationships start to form based on dependencies found amongst other existing objects.  Currently, there are several tools on the market that help data designer actually map out objects and their relationships through the use of symbols and lines.  These diagrams allow for designs to be review from several perspectives so that designers can ensure that they have the optimal data design for their project and that the design is flexible enough to allow for potential changes and/or extension in the future. Additionally these basic models can always be further refined to show different levels of details depending on the target audience through the use of three different types of models. Conceptual Data Model(CDM)Conceptual Data Models include all key entities and relationships giving a viewer a high level understanding of attributes. Conceptual data model are created by gathering and analyzing information from various sources pertaining to a project during the typical planning phase of a project. Logical Data Model (LDM)Logical Data Models are conceptual data models that have been expanded to include implementation details pertaining to the data that it will store. Additionally, this model typically represents an origination’s business requirements and business rules by defining various attribute data types and relationships regarding each entity. This additional information can be directly translated to the Physical Data Model which reduces the actual time need to implement it. Physical Data Model(PDMs)Physical Data Model are transformed Logical Data Models that include the necessary tables, columns, relationships, database properties for the creation of a database. This model also allows for considerations regarding performance, indexing and denormalization that are applied through database rules, data integrity. Further expanding on why we actually use models in modern application/database development can be seen in the benefits that data modeling provides for data modelers and projects themselves, Benefits of Data Modeling according to Applied Information Science Abstraction that allows data designers remove concepts and ideas form hard facts in the form of data. This gives the data designers the ability to express general concepts and/or ideas in a generic form through the use of symbols to represent data items and the relationships between the items. Transparency through the use of data models allows complex ideas to be translated in to simple symbols so that the concept can be understood by all viewpoints and limits the amount of confusion and misunderstanding. Effectiveness in regards to tuning a model for acceptable performance while maintaining affordable operational costs. In addition it allows systems to be built on a solid foundation in terms of data. I shudder at the thought of a world without data modeling, think about it? Data is everywhere in our lives. Data modeling allows for optimizing a design for performance and the reduction of duplication. If one was to design a database without data modeling then I would think that the first things to get impacted would be database performance due to poorly designed database and there would be greater chances of unnecessary data duplication that would also play in to the excessive query times because unneeded records would need to be processed. You could say that a data designer designing a database is like a box of chocolates. You will never know what kind of database you will get until after it is built.

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• Start your journey into Big Data with the Oracle Academy today!

  - by KLaker

   Big Data has the power to change the way we work, live, and think. The datafication of everything will create unprecedented demand for data scientists, software developers and engineers who can derive value from unstructured data to transform the world. The Oracle Academy Big Data Resource Guide is a collection of articles, videos, and other resources organized to help you gain a deeper understanding of the exciting field of Big Data. To start your journey visit the Oracle Academy website here: https://academy.oracle.com/oa-web-big-data.html. This landing pad will guide through the whole area of big data using the following structure: What is “Big Data” Engineered Systems Integration Database and Data Analytics Advanced Information Supplemental Information This is great resource packed with must-see videos and must-read whitepapers and blog posts by industry leaders.  Enjoy Technorati Tags: Big Data, Data Warehousing, Oracle, Training

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• Data Structures usage and motivational aspects

  - by Aubergine

  For long student life I was always wondering why there are so many of them yet there seems to be lack of usage at all in many of them. The opinion didn't really change when I got a job. We have brilliant books on what they are and their complexities, but I never encounter resources which would actually give a good hint of practical usage. I perfectly understand that I have to look at problem , analyse required operations, look for data structure that does them efficiently. However in practice I never do that, not because of human laziness syndrome, but because when it comes to work I acknowledge time priority over self-development. Over time I thought that when I would be better developer I will automatically use more of them - that didn't happen at all or maybe I just didn't. Then I found that the colleagues usually in the same plate as me - knowing more or less some three of data structures and being totally happy about it and refusing to discuss this matter further with me, coming back to conversations about 'cool new languages' 'libraries that do jobs for you' and the joy to work under scrumban etc. I am stuck with ArrayLists, Arrays and SortedMap , which no matter what I do always suffice or either I tweak them to be capable of fulfilling my task. Yes, it might be inefficient but do we really have to care if Intel increases performance over years no matter if we improve our skills? Does new Xeon or IBM machines really care what we use? What if I like build things, but I am not particularly excited whether it is n log(n) or just n? Over twenty years the processing power increased enormously, which gives us freedom of not being critical about which one to use? On top of that new more optimized languages appear which support multiple cores more efficiently. To be more specific: I would like to find motivational material on complex real areas/cases of possible effective usages of data structures. I would be really grateful if you would provide relevant resources. There is similar question ,but in the end the links again mostly describe or do dumb example(vehicles, students or holy grail quest - yes, very relevant) them and people keep referring to the "scenario decides the data structure to use". I want to know these complex scenarios to be able to identify similarities to my scenario and then use them. The complex scenarios where it really matters and not necessarily of quantitive nature. It seems that data structures only concern is efficiency and nothing else? There seems to be no particular convenience for developer in use one over another. (only when I found scientific resources on why exactly simple carbohydrates are evil I stopped eating sugar and candies completely replacing it with less harmful fruits - I hope you can see the analogy)

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• Unleash AutoVue on Your Unmanaged Data

  - by [email protected]

  Over the years, I've spoken to hundreds of customers who use AutoVue to collaborate on their "managed" data stored in content management systems, product lifecycle management systems, etc. via our many integrations. Through these conversations I've also learned a harsh reality - we will never fully move away from unmanaged data (desktops, file servers, emails, etc). If you use AutoVue today you already know that even if your primary use is viewing content stored in a content management system, you can still open files stored locally on your computer. But did you know that AutoVue actually has - built-in - a great solution for viewing, printing and redlining your data stored on file servers? Using the 'Server protocol' you can point AutoVue directly to a top-level location on any networked file server and provide your users with a link or shortcut to access an interface similar to the sample page shown below. Many customers link to pages just like this one from their internal company intranets. Through this webpage, users can easily search and browse through file server data with a 'click-and-view' interface to find the specific image, document, drawing or model they're looking for. Any markups created on a document will be accessible to everyone else viewing that document and of course real-time collaboration is supported as well. Customers on maintenance can consult the AutoVue Admin guide or My Oracle Support Doc ID 753018.1 for an introduction to the server protocol. Contact your local AutoVue Solutions Consultant for help setting up the sample shown above.

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• SQL SERVER – Step by Step Guide to Beginning Data Quality Services in SQL Server 2012 – Introduction to DQS

  - by pinaldave

  Data Quality Services is a very important concept of SQL Server. I have recently started to explore the same and I am really learning some good concepts. Here are two very important blog posts which one should go over before continuing this blog post. Installing Data Quality Services (DQS) on SQL Server 2012 Connecting Error to Data Quality Services (DQS) on SQL Server 2012 This article is introduction to Data Quality Services for beginners. We will be using an Excel file Click on the image to enlarge the it. In the first article we learned to install DQS. In this article we will see how we can learn about building Knowledge Base and using it to help us identify the quality of the data as well help correct the bad quality of the data. Here are the two very important steps we will be learning in this tutorial. Building a New Knowledge Base  Creating a New Data Quality Project Let us start the building the Knowledge Base. Click on New Knowledge Base. In our project we will be using the Excel as a knowledge base. Here is the Excel which we will be using. There are two columns. One is Colors and another is Shade. They are independent columns and not related to each other. The point which I am trying to show is that in Column A there are unique data and in Column B there are duplicate records. Clicking on New Knowledge Base will bring up the following screen. Enter the name of the new knowledge base. Clicking NEXT will bring up following screen where it will allow to select the EXCE file and it will also let users select the source column. I have selected Colors and Shade both as a source column. Creating a domain is very important. Here you can create a unique domain or domain which is compositely build from Colors and Shade. As this is the first example, I will create unique domain – for Colors I will create domain Colors and for Shade I will create domain Shade. Here is the screen which will demonstrate how the screen will look after creating domains. Clicking NEXT it will bring you to following screen where you can do the data discovery. Clicking on the START will start the processing of the source data provided. Pre-processed data will show various information related to the source data. In our case it shows that Colors column have unique data whereas Shade have non-unique data and unique data rows are only two. In the next screen you can actually add more rows as well see the frequency of the data as the values are listed unique. Clicking next will publish the knowledge base which is just created. Now the knowledge base is created. We will try to take any random data and attempt to do DQS implementation over it. I am using another excel sheet here for simplicity purpose. In reality you can easily use SQL Server table for the same. Click on New Data Quality Project to see start DQS Project. In the next screen it will ask which knowledge base to use. We will be using our Colors knowledge base which we have recently created. In the Colors knowledge base we had two columns – 1) Colors and 2) Shade. In our case we will be using both of the mappings here. User can select one or multiple column mapping over here. Now the most important phase of the complete project. Click on Start and it will make the cleaning process and shows various results. In our case there were two columns to be processed and it completed the task with necessary information. It demonstrated that in Colors columns it has not corrected any value by itself but in Shade value there is a suggestion it has. We can train the DQS to correct values but let us keep that subject for future blog posts. Now click next and keep the domain Colors selected left side. It will demonstrate that there are two incorrect columns which it needs to be corrected. Here is the place where once corrected value will be auto-corrected in future. I manually corrected the value here and clicked on Approve radio buttons. As soon as I click on Approve buttons the rows will be disappeared from this tab and will move to Corrected Tab. If I had rejected tab it would have moved the rows to Invalid tab as well. In this screen you can see how the corrected 2 rows are demonstrated. You can click on Correct tab and see previously validated 6 rows which passed the DQS process. Now let us click on the Shade domain on the left side of the screen. This domain shows very interesting details as there DQS system guessed the correct answer as Dark with the confidence level of 77%. It is quite a high confidence level and manual observation also demonstrate that Dark is the correct answer. I clicked on Approve and the row moved to corrected tab. On the next screen DQS shows the summary of all the activities. It also demonstrates how the correction of the quality of the data was performed. The user can explore their data to a SQL Server Table, CSV file or Excel. The user also has an option to either explore data and all the associated cleansing info or data only. I will select Data only for demonstration purpose. Clicking explore will generate the files. Let us open the generated file. It will look as following and it looks pretty complete and corrected. Well, we have successfully completed DQS Process. The process is indeed very easy. I suggest you try this out yourself and you will find it very easy to learn. In future we will go over advanced concepts. Are you using this feature on your production server? If yes, would you please leave a comment with your environment and business need. It will be indeed interesting to see where it is implemented. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Business Intelligence, Data Warehousing, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Data Quality Services, DQS

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• New Feature in ODI 11.1.1.6: ODI for Big Data

  - by Julien Testut

  Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} By Ananth Tirupattur Starting with Oracle Data Integrator 11.1.1.6.0, ODI is offering a solution to process Big Data. This post provides an overview of this feature. With all the buzz around Big Data and before getting into the details of ODI for Big Data, I will provide a brief introduction to Big Data and Oracle Solution for Big Data. So, what is Big Data? Big data includes: structured data (this includes data from relation data stores, xml data stores), semi-structured data (this includes data from weblogs) unstructured data (this includes data from text blob, images) Traditionally, business decisions are based on the information gathered from transactional data. For example, transactional Data from CRM applications is fed to a decision system for analysis and decision making. Products such as ODI play a key role in enabling decision systems. However, with the emergence of massive amounts of semi-structured and unstructured data it is important for decision system to include them in the analysis to achieve better decision making capability. While there is an abundance of opportunities for business for gaining competitive advantages, process of Big Data has challenges. The challenges of processing Big Data include: Volume of data Velocity of data - The high Rate at which data is generated Variety of data In order to address these challenges and convert them into opportunities, we would need an appropriate framework, platform and the right set of tools. Hadoop is an open source framework which is highly scalable, fault tolerant system, for storage and processing large amounts of data. Hadoop provides 2 key services, distributed and reliable storage called Hadoop Distributed File System or HDFS and a framework for parallel data processing called Map-Reduce. Innovations in Hadoop and its related technology continue to rapidly evolve, hence therefore, it is highly recommended to follow information on the web to keep up with latest information. Oracle's vision is to provide a comprehensive solution to address the challenges faced by Big Data. Oracle is providing the necessary Hardware, software and tools for processing Big Data Oracle solution includes: Big Data Appliance Oracle NoSQL Database Cloudera distribution for Hadoop Oracle R Enterprise- R is a statistical package which is very popular among data scientists. ODI solution for Big Data Oracle Loader for Hadoop for loading data from Hadoop to Oracle. Further details can be found here: http://www.oracle.com/us/products/database/big-data-appliance/overview/index.html ODI Solution for Big Data: ODI’s goal is to minimize the need to understand the complexity of Hadoop framework and simplify the adoption of processing Big Data seamlessly in an enterprise. ODI is providing the capabilities for an integrated architecture for processing Big Data. This includes capability to load data in to Hadoop, process data in Hadoop and load data from Hadoop into Oracle. ODI is expanding its support for Big Data by providing the following out of the box Knowledge Modules (KMs). IKM File to Hive (LOAD DATA).Load unstructured data from File (Local file system or HDFS ) into Hive IKM Hive Control AppendTransform and validate structured data on Hive IKM Hive TransformTransform unstructured data on Hive IKM File/Hive to Oracle (OLH)Load processed data in Hive to Oracle RKM HiveReverse engineer Hive tables to generate models Using the Loading KM you can map files (local and HDFS files) to the corresponding Hive tables. For example, you can map weblog files categorized by date into a corresponding partitioned Hive table schema. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Using the Hive control Append KM you can validate and transform data in Hive. In the below example, two source Hive tables are joined and mapped to a target Hive table. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} The Hive Transform KM facilitates processing of semi-structured data in Hive. In the below example, the data from weblog is processed using a Perl script and mapped to target Hive table. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Using the Oracle Loader for Hadoop (OLH) KM you can load data from Hive table or HDFS to a corresponding table in Oracle. OLH is available as a standalone product. ODI greatly enhances OLH capability by generating the configuration and mapping files for OLH based on the configuration provided in the interface and KM options. ODI seamlessly invokes OLH when executing the scenario. In the below example, a HDFS file is mapped to a table in Oracle. Development and Deployment:The following diagram illustrates the development and deployment of ODI solution for Big Data. Using the ODI Studio on your development machine create and develop ODI solution for processing Big Data by connecting to a MySQL DB or Oracle database on a BDA machine or Hadoop cluster. Schedule the ODI scenarios to be executed on the ODI agent deployed on the BDA machine or Hadoop cluster. ODI Solution for Big Data provides several exciting new capabilities to facilitate the adoption of Big Data in an enterprise. You can find more information about the Oracle Big Data connectors on OTN. You can find an overview of all the new features introduced in ODI 11.1.1.6 in the following document: ODI 11.1.1.6 New Features Overview

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• Consolidate Data in Private Clouds, But Consider Security and Regulatory Issues

  - by Troy Kitch

  The January 13 webcast Security and Compliance for Private Cloud Consolidation will provide attendees with an overview of private cloud computing based on Oracle's Maximum Availability Architecture and how security and regulatory compliance affects implementations. Many organizations are taking advantage of Oracle's Maximum Availability Architecture to drive down the cost of IT by deploying private cloud computing environments that can support downtime and utilization spikes without idle redundancy. With two-thirds of sensitive and regulated data in organizations' databases private cloud database consolidation means organizations must be more concerned than ever about protecting their information and addressing new regulatory challenges. Join us for this webcast to learn about greater risks and increased threats to private cloud data and how Oracle Database Security Solutions can assist in securely consolidating data and meet compliance requirements. Register Now.

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• Validating Data Using Data Annotation Attributes in ASP.NET MVC

  - by bipinjoshi

  The data entered by the end user in various form fields must be validated before it is saved in the database. Developers often use validation HTML helpers provided by ASP.NET MVC to perform the input validations. Additionally, you can also use data annotation attributes from the System.ComponentModel.DataAnnotations namespace to perform validations at the model level. Data annotation attributes are attached to the properties of the model class and enforce some validation criteria. They are capable of performing validation on the server side as well as on the client side. This article discusses the basics of using these attributes in an ASP.NET MVC application.http://www.bipinjoshi.net/articles/0a53f05f-b58c-47b1-a544-f032f5cfca58.aspx       

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• New Experts Direct Contribution - Multiple Currency in Analytics

  - by Cheryl

  We do our best to anticipate what you need to know when we design and write our courses for CRM On Demand. But we know that we cannot hit on every situation or implementation scenario that you might encounter. That's why I love our Experts Direct program - this is where we encourage our wide network of CRM On Demand experts to contribute knowledge that they have gained from working directly with companies on their specific challenges or questions. (See Direct From Our Experts!) The latest Experts Direct contribution comes from Leon Dolman, who works with CRM On Demand customers every day. Leon addresses what you should expect to see in your reports and in the application when your company's users enter opportunity revenue information in more than one currency. He works through a scenario to show how currency settings can affect the data that you see in your reports. For example, do you know what will you see in your Opportunity reports if you have two different currencies represented, besides your company's default currency, but your company administrator has only set exchange rates for one of them? Leon knows...and now he has shared that knowledge - and more - with the rest of us. Go to the Multiple Currency in Analytics item in the Training and Support Center to read more - and while you're there, take a look at the other Experts Direct content to tap into that expert knowledge that we're collecting for you. Just click the Browse More Topics link in the Experts Direct box on the home page to see the full list. And let us know if there are other topics that you'd like to see our experts address. Post a comment to start a conversation or send us an email.

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• Correct configuration of multiple Analytics trackers per page, spanning domains and subdomains

  - by Eliot Shepard

  My company publishes sites on a somewhat convoluted domain structure, and we're having trouble getting accurate numbers in Analytics when we have multiple trackers on the page. We publish under two brands (A, B). Each brand has a "national" site at A.com, B.com, as well as per-city "local" sites at eg. ny.A.com, la.A.com, sf.A.com, etc. Right now we're trying to track in these dimensions: Full network (A.com, ny.A.com, B.com, la.B.com, etc.) All sites in brand (A.com, ny.A.com, la.A.com, etc.) Inidividual site (ny.A.com) Here are the commands we're using on an individual site: _gaq.push( ['t0._setAccount', 'UA-XXXXXX-1'], // full network ['t0._setDomainName', 'none'], ['t0._setAllowLinker', true], ['t0._trackPageview'], ['t1._trackPageLoadTime'], ['t1._setAccount', 'UA-XXXXXX-2'], // brand ['t1._setDomainName', 'none'], ['t1._setAllowLinker', true], ['t1._trackPageview'], ['t1._trackPageLoadTime'], ['t2._setAccount', 'UA-XXXXXX-3'], // individual ['t2._setDomainName', 'none'], ['t2._setAllowLinker', true], ['t2._trackPageview'], ['t2._trackPageLoadTime'] ); We send the same commands to each account because we've had strange results when trackers were configured differently in the past. However, right now we're seeing inflated numbers for uniques on all three trackers. What is the correct way to configure this setup? Thanks for your time.

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• Two different domains as one user session in Google Analytics

  - by Mathew Foscarini

  I have two websites that are run as the same service. Each domain offers articles from a different market. At the top of each page the two domains are shown as menu options. If a user clicks one they can switch to the other domain. See here: http://www.cgtag.com Each domain has a different Google Analytics account, and when a user switches domains Google is counting this as a new session. It's listing the other domain as the "referral" for that new session. When the user switches back to the first domain Google is counting this as a returning visitor. This is messing up my reports. Showing returning visitors values that are higher than reality. It's also increasing hits on landing pages when the user switches, and listing the other domain as a referral site. I've found tips on how to list two domains as one website, but that results in merging the data. I want to keep the two domains separate so that I can track each ones performance, but I don't want to count domain changes as new sessions. Maybe something like treating the two domains as subdomains.

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• Live from ODTUG - Big Data and SQL session #2

  - by Jean-Pierre Dijcks

  Sitting in Dominic Delmolino's session at ODTUG (KScope 12). If the session count at conferences is any indication then we will see more and more people start to deploy MapReduce in the database. And yes, that would be with SQL and PL/SQL first and foremost. Both Dominic and our own Bryn Llewellyn are doing MapReduce in the database presentations.  Since I have seen both, I would advice people to first look through Dominic's session to get a good grasp on what mappers do and what reducers do, then dive into Bryn's for a bunch of PL/SQL example. The thing I like about Dominic's is the last slide (a recursive WITH statement) to do this in SQL... Now I am hoping that next year we will see tools vendors show off how they work with Hadoop and MapReduce (at least talking about the concepts!!).

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• What's New in Business Analytics at Oracle?

  - by jmorourke

  Business Analytics, which includes Business intelligence and Enterprise Performance Management, are top priorities for IT and Finance executives in 2012.  Some of the hot market trends and topics include managing big data, mobile information access, in-memory computing, advanced analytics, predictive modeling, leveraging unstructured data, as well as risk and performance management.  Find out what Oracle is doing about all of this, and what’s new from the market leader in Business Analytics by attending our live webcast event on April 4th titled “Introducing Oracle’s Business Analytics Strategy”.  At this event, you’ll hear about Oracle’s strategy for Business Analytics from Mark Hurd, Oracle President and you can learn about the latest advancements in Oracle’s Business Analytics solutions from Balaji Yelamanchili, SVP of Analytics and Performance Management. The keynote session from Mark and Balaji will be followed by breakout sessions that provide a more in-depth look at what’s new in specific product areas including the latest release of Oracle’s Hyperion Enterprise Performance Management suite, Oracle Business Intelligence Applications and Exalytics In-Memory Machine, Oracle Endeca Information Discovery, Big Data and Advanced Analytics solutions. This event will provide a great opportunity to hear about what’s new in Business Analytics at Oracle, and for attendees to pose questions to Oracle experts during live chat sessions.  Here’s a link to the registration page, and more details about the April 4th event.  We hope to see you (virtually) there! http://www.oracle.com/us/corporate/events/business-analytics/index.html Also, use the following hashtag to follow along on Twitter and share comments during the webcast and Q&A sessions:  #oracleanalytics

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• More Value From Data Using Data Mining Presentation

  Here is a presentation I gave at the SQLBits conference in September which was recorded by Microsoft.  Usually I speak about SSIS but on this particular event I thought people would like to hear something different from me. Microsoft are making a big play for making Data Mining more accessible to everyone and not just boffins.  In this presentation I give an overview of data mining and then do some demonstrations using the excellent Excel Add-Ins available from Microsoft SQL Server 2008 SQL Server 2005 I hope you enjoy this presentation http://go.microsoft.com/?linkid=9633764

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• Move data from others user accounts in my user account

  - by user118136

  I had problems with compiz setting and I make multiple accounts, now I want to transfer my information from all deleted users in my current account, some data I can not copy because I am not right to read, I type in terminal "sudo nautilus" and I get the permission for read, but the copied data is available only for superusers and I must charge the permissions for each file and each folder. How I can copy the information with out the superuser rights OR how I can charge the permissions for selected folder and all files and folders included in it?

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• Google Analytics Export API - nextPagePath data

  - by Btibert3

  I am probably missing something obvious, but I do not understand when I query: start.date = DATE_START, end.date = DATE_END, dimensions = c("ga:pagePath","ga:previousPagePath"), metrics = c("ga:pageviews"), filters = mypageofinterest, table.id = "ga:mytable", max.results=RESULTS my data return as expected, all of the previous pages including (entrance). However, when I modify the code to be nextPagePath start.date = DATE_START, end.date = DATE_END, dimensions = c("ga:pagePath","ga:nextPagePath"), metrics = c("ga:pageviews"), filters = mypageofinterest, table.id = "ga:mytable", max.results=RESULTS only one line of data are returned; the pagepath and nextpagepath are identical with itself. I replicated this result using the Query Explorer. What am I missing or doing wrong? I was expecting to see a large number of "next" pages, including (exit). Thanks in advance.

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• What is the Big-O time complexity of this algorithm

  - by grebwerd

  I was wondering what the run time of this small program would be? #include <stdio.h> int main(int argc, char* argv[]) { int i; int j; int inputSize; int sum = 0; if(argc == 1) inputSize = 16; else inputSize = atoi(argv[i]); for(i = 1; i <= inputSize; i++){ for(j = i; j < inputSize; j *=2 ){ printf("The value of sum is %d\n",++sum); } } } n S floor(log n - log (n-i)) = ? i =1 and that each summation would be the floor value between log(n) - log(n-i). Would the run time be n log n?

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• Tracking users behaviour - with or without Google Analytics

  - by Ilian Iliev

  If I understand correctly the following (point & from GA TOS): PRIVACY . You will not (and will not allow any third party to) use the Service to track or collect personally identifiable information of Internet users, nor will You (or will You allow any third party to) associate any data gathered from Your website(s) (or such third parties' website(s)) with any personally identifying information from any source as part of Your use (or such third parties' use) of the Service. You will have and abide by an appropriate privacy policy and will comply with all applicable laws relating to the collection of information from visitors to Your websites. You must post a privacy policy and that policy must provide notice of your use of a cookie that collects anonymous traffic data. You are not allowed to use custom variables that will identify the visitor(for example website username, e-mail, id etc.) So the question is how can I track a specific user behaviour(for example the actions that every single logged in user do).

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