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  • CPU operating temperature ranges

    - by osij2is
    I have an AMD Phenom II 960T with 2 cores unlocked for a total of 6 cores. I don't overclock at all. I have a Arctic Cooling ACALP64 Heatsink/Fan installed. I'm currently running ESXi 5.0 so I have to go into the BIOS to read the CPU temperatures, which at idle seem to be in the 71-74C range. To me, this is pretty high, but I cannot find any official temperature ranges that AMD says the CPU can work well within. There seems to be a lot of questions on superuser and numerous forums around CPU temperatures but no one seems to have a clear consensus as to what the manufacturer temperature ranges are for specific CPUs. I've tried searching through AMDs site to no avail. At this point, I'd be willing to shut off the 2 extra cores if it keeps the heat down but until I get some sort of tolerance or range for temperature, I have no idea if the CPU is being damaged or not. Can anyone point to a direct source, article, FAQ from AMD that specifically states their CPUs temperature range? Or are CPU temperature ranges so varying that there's no possible baseline? Am I being too paranoid about this? To me, anything over 65C is a bit much and if I'm in the low-mid 70s range with NO VMs running, what can I expect if I have several VMs running?

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  • Create and copy a Windows Mobile 5.0 operating system image

    - by user20119
    We have several dozen Windows Mobile 5.0 devices (Symbol MC7095 handhelds equipped with embedded Verizon WLAN, if that matters) that all need the same software and configuration. We connect all of these devices via a USB cradle to add software to them via Microsoft ActiveSync, and then do several configuration changes directly on the handhelds themselves, in the OS. That process takes 30 minutes or more, per device. Is there any way to set up one device and take a 'disk image' of the entire OS/software, such that things could then be copied (quickly/easily) to the other devices? Is such a thing possible, with Windows Mobile devices?

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  • Better way to quad+ boot operating systems?

    - by Wijagels
    I currently have Windows 7, Ubuntu 12.04, Fedora 17, and open SUSE installed. I currently use BURG boot loader to load up all the systems. However, BURG does not work with windows(I still manage) and it is a little finicky. So, I want to make windows work and have all the other OSes I want all on one boot loader. I already tried easy BCD and for whatever reason Fedora took over and blocked out the other OSes.

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  • VMWare Player does not save changes in guest operating system

    - by Giorgos Manoltzas
    I have installed VMWare Player in my Windows 7 Ultimate and I have added Ubuntu 12.10 in a virtual machine. The problem is that every time I power off the virtual machine everything is lost. I mean every program I install or folder i save or anything else is lost completely. And when I start the again the virtual machine is like newly installed. Is there an option to change this (strange) behaviour?

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  • How to query on table returned by Stored procedure within a procedure.

    - by Shantanu Gupta
    I have a stored procedure that is performing some ddl dml operations. It retrieves a data after processing data from CTE and cross apply and other such complex things. Now this returns me a 4 tables which gets binded to various sources at frontend. Now I want to use one of the table to further processing so as to get more usefull information from it. eg. This table would be containing approx 2000 records at most of which i want to get records that belongs to lodging only. PK_CATEGORY_ID DESCRIPTION FK_CATEGORY_ID IMMEDIATE_PARENT Department_ID Department_Name DESCRIPTION_HIERARCHY DEPTH IS_ACTIVE ID_PATH DESC_PATH -------------------- -------------------------------------------------- -------------------- -------------------------------------------------- -------------------- -------------------------------------------------- ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ----------- ----------- ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 1 Food NULL NULL 1 Food (Food) Food 0 1 0 Food 5 Chinese 1 Food 1 Food (Food) ----Chinese 1 1 1 Food->Chinese 14 X 5 Chinese 1 Food (Food) --------X 2 1 1->5 Food->Chinese->X 15 Y 5 Chinese 1 Food (Food) --------Y 2 1 1->5 Food->Chinese->Y 65 asdasd 5 Chinese 1 Food (Food) --------asdasd 2 1 1->5 Food->Chinese->asdasd 66 asdas 5 Chinese 1 Food (Food) --------asdas 2 1 1->5 Food->Chinese->asdas 8 Italian 1 Food 1 Food (Food) ----Italian 1 1 1 Food->Italian 48 hfghfgh 1 Food 1 Food (Food) ----hfghfgh 1 1 1 Food->hfghfgh 55 Asd 1 Food 1 Food (Food) ----Asd 1 1 1 Food->Asd 2 Lodging NULL NULL 2 Lodging (Lodging) Lodging 0 1 0 Lodging 3 Room 2 Lodging 2 Lodging (Lodging) ----Room 1 1 2 Lodging->Room 4 Floor 3 Room 2 Lodging (Lodging) --------Floor 2 1 2->3 Lodging->Room->Floor 9 First 4 Floor 2 Lodging (Lodging) ------------First 3 1 2->3->4 Lodging->Room->Floor->First 10 Second 4 Floor 2 Lodging (Lodging) ------------Second 3 1 2->3->4 Lodging->Room->Floor->Second 11 Third 4 Floor 2 Lodging (Lodging) ------------Third 3 1 2->3->4 Lodging->Room->Floor->Third 29 Fourth 4 Floor 2 Lodging (Lodging) ------------Fourth 3 1 2->3->4 Lodging->Room->Floor->Fourth 12 Air Conditioned 3 Room 2 Lodging (Lodging) --------Air Conditioned 2 1 2->3 Lodging->Room->Air Conditioned 20 With Balcony 12 Air Conditioned 2 Lodging (Lodging) ------------With Balcony 3 1 2->3->12 Lodging->Room->Air Conditioned->With Balcony 24 Mountain View 20 With Balcony 2 Lodging (Lodging) ----------------Mountain View 4 1 2->3->12->20 Lodging->Room->Air Conditioned->With Balcony->Mountain View 25 Ocean View 20 With Balcony 2 Lodging (Lodging) ----------------Ocean View 4 1 2->3->12->20 Lodging->Room->Air Conditioned->With Balcony->Ocean View 26 Garden View 20 With Balcony 2 Lodging (Lodging) ----------------Garden View 4 1 2->3->12->20 Lodging->Room->Air Conditioned->With Balcony->Garden View 52 Smoking 20 With Balcony 2 Lodging (Lodging) ----------------Smoking 4 1 2->3->12->20 Lodging->Room->Air Conditioned->With Balcony->Smoking 21 Without Balcony 12 Air Conditioned 2 Lodging (Lodging) ------------Without Balcony 3 1 2->3->12 Lodging->Room->Air Conditioned->Without Balcony 13 Non Air Conditioned 3 Room 2 Lodging (Lodging) --------Non Air Conditioned 2 1 2->3 Lodging->Room->Non Air Conditioned 22 With Balcony 13 Non Air Conditioned 2 Lodging (Lodging) ------------With Balcony 3 1 2->3->13 Lodging->Room->Non Air Conditioned->With Balcony 71 EA 3 Room 2 Lodging (Lodging) --------EA 2 1 2->3 Lodging->Room->EA 50 Casabellas 2 Lodging 2 Lodging (Lodging) ----Casabellas 1 1 2 Lodging->Casabellas 51 North Beach 50 Casabellas 2 Lodging (Lodging) --------North Beach 2 1 2->50 Lodging->Casabellas->North Beach 40 Fooding NULL NULL 40 Fooding (Fooding) Fooding 0 1 0 Fooding 41 Pizza 40 Fooding 40 Fooding (Fooding) ----Pizza 1 1 40 Fooding->Pizza 45 Onion 41 Pizza 40 Fooding (Fooding) --------Onion 2 1 40->41 Fooding->Pizza->Onion 47 Extra Cheeze 41 Pizza 40 Fooding (Fooding) --------Extra Cheeze 2 1 40->41 Fooding->Pizza->Extra Cheeze 77 Burger 40 Fooding 40 Fooding (Fooding) ----Burger 1 1 40 Fooding->Burger This result is being obtained to me using some stored procedure which contains some DML operations as well. i want something like this select description from exec spName where fk_category_id=5 Remember that this spName is returning me 4 tables of which i want to perform some query on one of the table whose index will be known to me. I dont have to send it to UI before querying further. I am using Sql Server 2008 but would like a compatible solution for 2005 also.

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  • The Virtues and Challenges of Implementing Basel III: What Every CFO and CRO Needs To Know

    - by Jenna Danko
    The Basel Committee on Banking Supervision (BCBS) is a group tasked with providing thought-leadership to the global banking industry.  Over the years, the BCBS has released volumes of guidance in an effort to promote stability within the financial sector.  By effectively communicating best-practices, the Basel Committee has influenced financial regulations worldwide.  Basel regulations are intended to help banks: More easily absorb shocks due to various forms of financial-economic stress Improve risk management and governance Enhance regulatory reporting and transparency In June 2011, the BCBS released Basel III: A global regulatory framework for more resilient banks and banking systems.  This new set of regulations included many enhancements to previous rules and will have both short and long term impacts on the banking industry.  Some of the key features of Basel III include: A stronger capital base More stringent capital standards and higher capital requirements Introduction of capital buffers  Additional risk coverage Enhanced quantification of counterparty credit risk Credit valuation adjustments  Wrong  way risk  Asset Value Correlation Multiplier for large financial institutions Liquidity management and monitoring Introduction of leverage ratio Even more rigorous data requirements To implement these features banks need to embark on a journey replete with challenges. These can be categorized into three key areas: Data, Models and Compliance. Data Challenges Data quality - All standard dimensions of Data Quality (DQ) have to be demonstrated.  Manual approaches are now considered too cumbersome and automation has become the norm. Data lineage - Data lineage has to be documented and demonstrated.  The PPT / Excel approach to documentation is being replaced by metadata tools.  Data lineage has become dynamic due to a variety of factors, making static documentation out-dated quickly.  Data dictionaries - A strong and clean business glossary is needed with proper identification of business owners for the data.  Data integrity - A strong, scalable architecture with work flow tools helps demonstrate data integrity.  Manual touch points have to be minimized.   Data relevance/coverage - Data must be relevant to all portfolios and storage devices must allow for sufficient data retention.  Coverage of both on and off balance sheet exposures is critical.   Model Challenges Model development - Requires highly trained resources with both quantitative and subject matter expertise. Model validation - All Basel models need to be validated. This requires additional resources with skills that may not be readily available in the marketplace.  Model documentation - All models need to be adequately documented.  Creation of document templates and model development processes/procedures is key. Risk and finance integration - This integration is necessary for Basel as the Allowance for Loan and Lease Losses (ALLL) is calculated by Finance, yet Expected Loss (EL) is calculated by Risk Management – and they need to somehow be equal.  This is tricky at best from an implementation perspective.  Compliance Challenges Rules interpretation - Some Basel III requirements leave room for interpretation.  A misinterpretation of regulations can lead to delays in Basel compliance and undesired reprimands from supervisory authorities. Gap identification and remediation - Internal identification and remediation of gaps ensures smoother Basel compliance and audit processes.  However business lines are challenged by the competing priorities which arise from regulatory compliance and business as usual work.  Qualification readiness - Providing internal and external auditors with robust evidence of a thorough examination of the readiness to proceed to parallel run and Basel qualification  In light of new regulations like Basel III and local variations such as the Dodd Frank Act (DFA) and Comprehensive Capital Analysis and Review (CCAR) in the US, banks are now forced to ask themselves many difficult questions.  For example, executives must consider: How will Basel III play into their Risk Appetite? How will they create project plans for Basel III when they haven’t yet finished implementing Basel II? How will new regulations impact capital structure including profitability and capital distributions to shareholders? After all, new regulations often lead to diminished profitability as well as an assortment of implementation problems as we discussed earlier in this note.  However, by requiring banks to focus on premium growth, regulators increase the potential for long-term profitability and sustainability.  And a more stable banking system: Increases consumer confidence which in turn supports banking activity  Ensures that adequate funding is available for individuals and companies Puts regulators at ease, allowing bankers to focus on banking Stability is intended to bring long-term profitability to banks.  Therefore, it is important that every banking institution takes the steps necessary to properly manage, monitor and disclose its risks.  This can be done with the assistance and oversight of an independent regulatory authority.  A spectrum of banks exist today wherein some continue to debate and negotiate with regulators over the implementation of new requirements, while others are simply choosing to embrace them for the benefits I highlighted above. Do share with me how your institution is coping with and embracing these new regulations within your bank. Dr. Varun Agarwal is a Principal in the Banking Practice for Capgemini Financial Services.  He has over 19 years experience in areas that span from enterprise risk management, credit, market, and to country risk management; financial modeling and valuation; and international financial markets research and analyses.

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  • Big GRC: Turning Data into Actionable GRC Intelligence

    - by Jenna Danko
    While it’s no longer headline news that Governments have carried out large scale data-mining programmes aimed at terrorism detection and identifying other patterns of interest across a wide range of digital data sources, the debate over the ethics and justification over this action, will clearly continue for some time to come. What is becoming clear is that these programmes are a framework for the collation and aggregation of massive amounts of unstructured data and from this, the creation of actionable intelligence from analyses that allowed the analysts to explore and extract a variety of patterns and then direct resources. This data included audio and video chats, phone calls, photographs, e-mails, documents, internet searches, social media posts and mobile phone logs and connections. Although Governance, Risk and Compliance (GRC) professionals are not looking at the implementation of such programmes, there are many similar GRC “Big data” challenges to be faced and potential lessons to be learned from these high profile government programmes that can be applied a lot closer to home. For example, how can GRC professionals collect, manage and analyze an enormous and disparate volume of data to create and manage their own actionable intelligence covering hidden signs and patterns of criminal activity, the early or retrospective, violation of regulations/laws/corporate policies and procedures, emerging risks and weakening controls etc. Not exactly the stuff of James Bond to be sure, but it is certainly more applicable to most GRC professional’s day to day challenges. So what is Big Data and how can it benefit the GRC process? Although it often varies, the definition of Big Data largely refers to the following types of data: Traditional Enterprise Data – includes customer information from CRM systems, transactional ERP data, web store transactions, and general ledger data. Machine-Generated /Sensor Data – includes Call Detail Records (“CDR”), weblogs and trading systems data. Social Data – includes customer feedback streams, micro-blogging sites like Twitter, and social media platforms like Facebook. The McKinsey Global Institute estimates that data volume is growing 40% per year, and will grow 44x between 2009 and 2020. But while it’s often the most visible parameter, volume of data is not the only characteristic that matters. In fact, according to sources such as Forrester there are four key characteristics that define big data: Volume. Machine-generated data is produced in much larger quantities than non-traditional data. This is all the data generated by IT systems that power the enterprise. This includes live data from packaged and custom applications – for example, app servers, Web servers, databases, networks, virtual machines, telecom equipment, and much more. Velocity. Social media data streams – while not as massive as machine-generated data – produce a large influx of opinions and relationships valuable to customer relationship management as well as offering early insight into potential reputational risk issues. Even at 140 characters per tweet, the high velocity (or frequency) of Twitter data ensures large volumes (over 8 TB per day) need to be managed. Variety. Traditional data formats tend to be relatively well defined by a data schema and change slowly. In contrast, non-traditional data formats exhibit a dizzying rate of change. Without question, all GRC professionals work in a dynamic environment and as new services, new products, new business lines are added or new marketing campaigns executed for example, new data types are needed to capture the resultant information.  Value. The economic value of data varies significantly. Typically, there is good information hidden amongst a larger body of non-traditional data that GRC professionals can use to add real value to the organisation; the greater challenge is identifying what is valuable and then transforming and extracting that data for analysis and action. For example, customer service calls and emails have millions of useful data points and have long been a source of information to GRC professionals. Those calls and emails are critical in helping GRC professionals better identify hidden patterns and implement new policies that can reduce the amount of customer complaints.   Now on a scale and depth far beyond those in place today, all that unstructured call and email data can be captured, stored and analyzed to reveal the reasons for the contact, perhaps with the aggregated customer results cross referenced against what is being said about the organization or a similar peer organization on social media. The organization can then take positive actions, communicating to the market in advance of issues reaching the press, strengthening controls, adjusting risk profiles, changing policy and procedures and completely minimizing, if not eliminating, complaints and compensation for that specific reason in the future. In this one example of many similar ones, the GRC team(s) has demonstrated real and tangible business value. Big Challenges - Big Opportunities As pointed out by recent Forrester research, high performing companies (those that are growing 15% or more year-on-year compared to their peers) are taking a selective approach to investing in Big Data.  "Tomorrow's winners understand this, and they are making selective investments aimed at specific opportunities with tangible benefits where big data offers a more economical solution to meet a need." (Forrsights Strategy Spotlight: Business Intelligence and Big Data, Q4 2012) As pointed out earlier, with the ever increasing volume of regulatory demands and fines for getting it wrong, limited resource availability and out of date or inadequate GRC systems all contributing to a higher cost of compliance and/or higher risk profile than desired – a big data investment in GRC clearly falls into this category. However, to make the most of big data organizations must evolve both their business and IT procedures, processes, people and infrastructures to handle these new high-volume, high-velocity, high-variety sources of data and be able integrate them with the pre-existing company data to be analyzed. GRC big data clearly allows the organization access to and management over a huge amount of often very sensitive information that although can help create a more risk intelligent organization, also presents numerous data governance challenges, including regulatory compliance and information security. In addition to client and regulatory demands over better information security and data protection the sheer amount of information organizations deal with the need to quickly access, classify, protect and manage that information can quickly become a key issue  from a legal, as well as technical or operational standpoint. However, by making information governance processes a bigger part of everyday operations, organizations can make sure data remains readily available and protected. The Right GRC & Big Data Partnership Becomes Key  The "getting it right first time" mantra used in so many companies remains essential for any GRC team that is sponsoring, helping kick start, or even overseeing a big data project. To make a big data GRC initiative work and get the desired value, partnerships with companies, who have a long history of success in delivering successful GRC solutions as well as being at the very forefront of technology innovation, becomes key. Clearly solutions can be built in-house more cheaply than through vendor, but as has been proven time and time again, when it comes to self built solutions covering AML and Fraud for example, few have able to scale or adapt appropriately to meet the changing regulations or challenges that the GRC teams face on a daily basis. This has led to the creation of GRC silo’s that are causing so many headaches today. The solutions that stand out and should be explored are the ones that can seamlessly merge the traditional world of well-known data, analytics and visualization with the new world of seemingly innumerable data sources, utilizing Big Data technologies to generate new GRC insights right across the enterprise.Ultimately, Big Data is here to stay, and organizations that embrace its potential and outline a viable strategy, as well as understand and build a solid analytical foundation, will be the ones that are well positioned to make the most of it. A Blueprint and Roadmap Service for Big Data Big data adoption is first and foremost a business decision. As such it is essential that your partner can align your strategies, goals, and objectives with an architecture vision and roadmap to accelerate adoption of big data for your environment, as well as establish practical, effective governance that will maintain a well managed environment going forward. Key Activities: While your initiatives will clearly vary, there are some generic starting points the team and organization will need to complete: Clearly define your drivers, strategies, goals, objectives and requirements as it relates to big data Conduct a big data readiness and Information Architecture maturity assessment Develop future state big data architecture, including views across all relevant architecture domains; business, applications, information, and technology Provide initial guidance on big data candidate selection for migrations or implementation Develop a strategic roadmap and implementation plan that reflects a prioritization of initiatives based on business impact and technology dependency, and an incremental integration approach for evolving your current state to the target future state in a manner that represents the least amount of risk and impact of change on the business Provide recommendations for practical, effective Data Governance, Data Quality Management, and Information Lifecycle Management to maintain a well-managed environment Conduct an executive workshop with recommendations and next steps There is little debate that managing risk and data are the two biggest obstacles encountered by financial institutions.  Big data is here to stay and risk management certainly is not going anywhere, and ultimately financial services industry organizations that embrace its potential and outline a viable strategy, as well as understand and build a solid analytical foundation, will be best positioned to make the most of it. Matthew Long is a Financial Crime Specialist for Oracle Financial Services. He can be reached at matthew.long AT oracle.com.

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  • Good reasons to keep 32-bit Microsoft Windows desktop OSes

    - by Mark Henderson
    Server software has been 64-bit only for a while now (Since Server 2008 R2 for Windows, even earlier for Exchange and Sharepoint) and even Ubuntu are pushing you away from 32-bit versions for their server OSes. But is there any good, quantifiable reason to keep a 32-bit desktop operating system maintained? We're preparing our Windows 8 images for the (unfortunate?) few that will be early adopters. The majority of our desktop computers have 4gb or less of RAM, but I would love to not have to bother supporting a 32-bit flavoured operating system any more. Any reason why I should?

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  • Any good reason to keep 32-bit desktop OS's

    - by Mark Henderson
    Server software has been 64-bit only for a while now (Since Server 2008 R2 for Windows, even earlier for Exchange and Sharepoint) and even Ubuntu are pushing you away from 32-bit versions for their server OS's. But is there any good, quantifiable reason to keep a 32-bit desktop operating system maintained? We're preparing our Windows 8 images for the (unfortunate?) few that will be early adopters. The majority of our desktop computers have 4gb or less of RAM, but I would love to not have to bother supporting a 32-bit flavoured operating system any more. Any reason why I should?

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  • Good reasons to keep 32-bit desktop OS's

    - by Mark Henderson
    Server software has been 64-bit only for a while now (Since Server 2008 R2 for Windows, even earlier for Exchange and Sharepoint) and even Ubuntu are pushing you away from 32-bit versions for their server OS's. But is there any good, quantifiable reason to keep a 32-bit desktop operating system maintained? We're preparing our Windows 8 images for the (unfortunate?) few that will be early adopters. The majority of our desktop computers have 4gb or less of RAM, but I would love to not have to bother supporting a 32-bit flavoured operating system any more. Any reason why I should?

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  • What sort of things can cause a whole system to appear to hang for 100s-1000s of milliseconds?

    - by Ogapo
    I am working on a Windows game and while rendering, some computers will experience intermittent pauses ("hitches" for lack of a better term). When profiled they appear in seemingly random places in the code. Eventually I noticed that it wasn't just my process that was affected, but (seemingly) every process on the system. All of the threads in my application hitch at once. The CPU utilization drops during these hitches and it appears as if most processes make no progress. This leads me to believe this may be an Operating System or Driver issue, but it only occurs while playing the game (and only on some systems). What sort of operations might the operating system be doing that would require the kernel to pause all user threads and block. Some kind of I/O? At first I thought of paging but my impression is that would only affect a single process, no? Some systems in use: Windows, DirectX (3d), nVidia cards (unknown if replicates on ATI), using overlapped io for streaming

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  • Ctrl+Click / Command+Click not working with analytics

    - by user347998
    Hi All, I created my own analytics for my site to track outbound click events using jquery. Now the thing with preventDefault() is that it does not allow for the Ctrl+Click or COmmand+click operation in the browser to open the link in new tab/window. So my solution was to detect e.metaKey || e.ctrlKey and use window.open. This does not work very great with safari unless the user changes browser behavior. I am wondering if anyone here knows what other analytics users do - like how does google etc deal with this problem in tracking outbound links? From this link: http://www.google.com/support/googleanalytics/bin/answer.py?hl=en&answer=55527 - looks like google will also face the same problem. Thoughts?

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  • Google analytics-style custom report builder UI

    - by gregmac
    I'm looking for a reporting engine/UI that can be integrated into a product, which has a UI along the lines of Google Analytics' Custom Reports builder. Is anyone aware of such a thing? The data is in our case is not page views/visitors/etc, but is similar in nature, in that there are limited entities or types of data, but each entity has many attributes/columns and many different ways of aggregating data (or in GA-style speak, metrics and dimensions). The analytics-style UI is very intuitive and allows many reports to be created in powerful ways, without having to know SQL. I have preference for a web-based tool (seeing that it is 2010 and this is a web app -- I mention only because it seems the vast majority of reporting tools still have only a non-web-based creation tool).

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  • blacklist test requests from google analytics using watir

    - by Anjali
    Hi, I have to automate tests for a web application which runs google analytics script. I have chosen watir for the automation since I can script all the test cases with the same. The only problem is i dont know how to remove my test requests to the web apps from the google analytics report. Can anyone help me with the same? Is it possible to do that with watir? If not watir, is there any other web automation tool which I could use? ~Thanks and Regarads

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  • optimizing operating systems to provide maximum informix performance.

    - by Frank Developer
    Are there any Informix-specific guides for optimizing any operating system where an ifx engine is running? For example, in Linux, strip-down to a bare minimum all unecessary binaries, daemons, utilities, tune kernel parameters, optimize raw and cooked devices (hdparm). Someday, maybe, informix can create its own proprietary PICK-like O/S. The general idea is for the OS where ifx sits on have the smallest footprint, lowest overhead impact on ifx and provide optimized ifx performance.

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