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  • Save the date For AutoVue Enterprise Visualization at Oracle OpenWorld 2013

    - by Gerald Fauteux
    Planning to attend Oracle OpenWorld 2013 (September 22–26, 2013)?  If so, be sure to check out the various Enterprise Visualization activities that you can take advantage of while in San Francisco. Enterprise Visualization Sessions: CON8992 - Qualcomm Streamlines Its Design and Manufacturing Process with AutoVue/Agile Products. Click here for full session description. Customer Speakers: Mary Legaspi - Staff Systems Administrator and Ravi Sankaran - Sr. Staff Systems Analyst, Qualcomm CON8741 - Visual Information Navigator: Next-Generation Interaction Paradigm. Click here for full session description. Speakers: Rozita Naghshin - Sr. Principal Product Manager-Visual Information Navigator and Thierry Bonfante - Senior Director Product Development, Oracle Other Activities  There will be an “Oracle’s AutoVue & Visual Information Navigator" pod in the exhibit hall Come and meet Oracle’s Visualization experts at the SCM product lounge, and have exclusive 1 on 1 or group conversations with development and strategy experts.     Check back shortly for the dates and times of these activities

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  • DB Enterprise User Security Integration With Directory Services

    - by Etienne Remillon
    Gain a better understanding of how to integrate Enterprise User Security (EUS) with various Directories by attending this 1 hour Advisor Webcast!  When: July 11, 2012 at 16:00 UK / 17:00 CET / 08:00 am Pacific / 9:00 am Mountain / 11:00 am Eastern Enterprise User Security (EUS) is a DB feature to externalize, and centrally manage DB users in a directory server. The webcast will briefly introduce EUS, followed by a detailed discussion about the various directory options that are supported, including integration with Microsoft Active Directory. We'll conclude how to avoid common pitfalls deploying EUS with directory services. TOPICS WILL INCLUDE: - Understand EUS basics - Understand EUS and directory integration options - Avoid common EUS deployment mistakes Make sure to register and mark this date on your calendar! - Details and registration.

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  • Solving Big Problems with Oracle R Enterprise, Part I

    - by dbayard
    Abstract: This blog post will show how we used Oracle R Enterprise to tackle a customer’s big calculation problem across a big data set. Overview: Databases are great for managing large amounts of data in a central place with rigorous enterprise-level controls.  R is great for doing advanced computations.  Sometimes you need to do advanced computations on large amounts of data, subject to rigorous enterprise-level concerns.  This blog post shows how Oracle R Enterprise enables R plus the Oracle Database enabled us to do some pretty sophisticated calculations across 1 million accounts (each with many detailed records) in minutes. The problem: A financial services customer of mine has a need to calculate the historical internal rate of return (IRR) for its customers’ portfolios.  This information is needed for customer statements and the online web application.  In the past, they had solved this with a home-grown application that pulled trade and account data out of their data warehouse and ran the calculations.  But this home-grown application was not able to do this fast enough, plus it was a challenge for them to write and maintain the code that did the IRR calculation. IRR – a problem that R is good at solving: Internal Rate of Return is an interesting calculation in that in most real-world scenarios it is impractical to calculate exactly.  Rather, IRR is a calculation where approximation techniques need to be used.  In this blog post, we will discuss calculating the “money weighted rate of return” but in the actual customer proof of concept we used R to calculate both money weighted rate of returns and time weighted rate of returns.  You can learn more about the money weighted rate of returns here: http://www.wikinvest.com/wiki/Money-weighted_return First Steps- Calculating IRR in R We will start with calculating the IRR in standalone/desktop R.  In our second post, we will show how to take this desktop R function, deploy it to an Oracle Database, and make it work at real-world scale.  The first step we did was to get some sample data.  For a historical IRR calculation, you have a balances and cash flows.  In our case, the customer provided us with several accounts worth of sample data in Microsoft Excel.      The above figure shows part of the spreadsheet of sample data.  The data provides balances and cash flows for a sample account (BMV=beginning market value. FLOW=cash flow in/out of account. EMV=ending market value). Once we had the sample spreadsheet, the next step we did was to read the Excel data into R.  This is something that R does well.  R offers multiple ways to work with spreadsheet data.  For instance, one could save the spreadsheet as a .csv file.  In our case, the customer provided a spreadsheet file containing multiple sheets where each sheet provided data for a different sample account.  To handle this easily, we took advantage of the RODBC package which allowed us to read the Excel data sheet-by-sheet without having to create individual .csv files.  We wrote ourselves a little helper function called getsheet() around the RODBC package.  Then we loaded all of the sample accounts into a data.frame called SimpleMWRRData. Writing the IRR function At this point, it was time to write the money weighted rate of return (MWRR) function itself.  The definition of MWRR is easily found on the internet or if you are old school you can look in an investment performance text book.  In the customer proof, we based our calculations off the ones defined in the The Handbook of Investment Performance: A User’s Guide by David Spaulding since this is the reference book used by the customer.  (One of the nice things we found during the course of this proof-of-concept is that by using R to write our IRR functions we could easily incorporate the specific variations and business rules of the customer into the calculation.) The key thing with calculating IRR is the need to solve a complex equation with a numerical approximation technique.  For IRR, you need to find the value of the rate of return (r) that sets the Net Present Value of all the flows in and out of the account to zero.  With R, we solve this by defining our NPV function: where bmv is the beginning market value, cf is a vector of cash flows, t is a vector of time (relative to the beginning), emv is the ending market value, and tend is the ending time. Since solving for r is a one-dimensional optimization problem, we decided to take advantage of R’s optimize method (http://stat.ethz.ch/R-manual/R-patched/library/stats/html/optimize.html). The optimize method can be used to find a minimum or maximum; to find the value of r where our npv function is closest to zero, we wrapped our npv function inside the abs function and asked optimize to find the minimum.  Here is an example of using optimize: where low and high are scalars that indicate the range to search for an answer.   To test this out, we need to set values for bmv, cf, t, emv, tend, low, and high.  We will set low and high to some reasonable defaults. For example, this account had a negative 2.2% money weighted rate of return. Enhancing and Packaging the IRR function With numerical approximation methods like optimize, sometimes you will not be able to find an answer with your initial set of inputs.  To account for this, our approach was to first try to find an answer for r within a narrow range, then if we did not find an answer, try calling optimize() again with a broader range.  See the R help page on optimize()  for more details about the search range and its algorithm. At this point, we can now write a simplified version of our MWRR function.  (Our real-world version is  more sophisticated in that it calculates rate of returns for 5 different time periods [since inception, last quarter, year-to-date, last year, year before last year] in a single invocation.  In our actual customer proof, we also defined time-weighted rate of return calculations.  The beauty of R is that it was very easy to add these enhancements and additional calculations to our IRR package.)To simplify code deployment, we then created a new package of our IRR functions and sample data.  For this blog post, we only need to include our SimpleMWRR function and our SimpleMWRRData sample data.  We created the shell of the package by calling: To turn this package skeleton into something usable, at a minimum you need to edit the SimpleMWRR.Rd and SimpleMWRRData.Rd files in the \man subdirectory.  In those files, you need to at least provide a value for the “title” section. Once that is done, you can change directory to the IRR directory and type at the command-line: The myIRR package for this blog post (which has both SimpleMWRR source and SimpleMWRRData sample data) is downloadable from here: myIRR package Testing the myIRR package Here is an example of testing our IRR function once it was converted to an installable package: Calculating IRR for All the Accounts So far, we have shown how to calculate IRR for a single account.  The real-world issue is how do you calculate IRR for all of the accounts?This is the kind of situation where we can leverage the “Split-Apply-Combine” approach (see http://www.cscs.umich.edu/~crshalizi/weblog/815.html).  Given that our sample data can fit in memory, one easy approach is to use R’s “by” function.  (Other approaches to Split-Apply-Combine such as plyr can also be used.  See http://4dpiecharts.com/2011/12/16/a-quick-primer-on-split-apply-combine-problems/). Here is an example showing the use of “by” to calculate the money weighted rate of return for each account in our sample data set.  Recap and Next Steps At this point, you’ve seen the power of R being used to calculate IRR.  There were several good things: R could easily work with the spreadsheets of sample data we were given R’s optimize() function provided a nice way to solve for IRR- it was both fast and allowed us to avoid having to code our own iterative approximation algorithm R was a convenient language to express the customer-specific variations, business-rules, and exceptions that often occur in real-world calculations- these could be easily added to our IRR functions The Split-Apply-Combine technique can be used to perform calculations of IRR for multiple accounts at once. However, there are several challenges yet to be conquered at this point in our story: The actual data that needs to be used lives in a database, not in a spreadsheet The actual data is much, much bigger- too big to fit into the normal R memory space and too big to want to move across the network The overall process needs to run fast- much faster than a single processor The actual data needs to be kept secured- another reason to not want to move it from the database and across the network And the process of calculating the IRR needs to be integrated together with other database ETL activities, so that IRR’s can be calculated as part of the data warehouse refresh processes In our next blog post in this series, we will show you how Oracle R Enterprise solved these challenges.

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  • Oracle Enterprise Manager Cloud Control 12c: Die Verwendung von Gruppen

    - by Ralf Durben (DBA Community)
    Mit Oracle Enterprise Manager Cloud Control 12c können Sie eine Vielzahl von Zielsystemen verwalten, sowohl was die Vielfältigkeit als auch die pure Anzahl betrifft. Eine große Anzahl von Zielsystemen wirft die Frage auf, wie diese Menge effizient verwaltet werden kann. Dazu gehören die Kontrolle des Zugriffs, die möglichst automatische Einstellung des Monitorings und die Bildung von benutzerorientieren Sichten. Zu diesem Zweck gibt es das Konzept der Gruppen, in denen Zielsysteme (Targets) zusammengefasst werden können. In Oracle Enterprise Manager Cloud Control 12c gibt es drei verschiedene Typen von Gruppen, die im aktuellen Tipp erklärt und voneinander abgegrenzt werden.

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  • Why Executives Need Enterprise Project Portfolio Management: 3 Key Considerations to Drive Value Across the Organization

    - by Melissa Centurio Lopes
    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:"Cambria","serif";} By: Guy Barlow, Oracle Primavera Industry Strategy Director Over the last few years there has been a tremendous shift – some would say tectonic in nature – that has brought project management to the forefront of executive attention. Many factors have been driving this growing awareness, most notably, the global financial crisis, heightened regulatory environments and a need to more effectively operationalize corporate strategy. Executives in India are no exception. In fact, given the phenomenal rate of progress of the country, top of mind for all executives (whether in finance, operations, IT, etc.) is the need to build capacity, ramp-up production and ensure that the right resources are in place to capture growth opportunities. This applies across all industries from asset-intensive – like oil & gas, utilities and mining – to traditional manufacturing and the public sector, including services-based sectors such as the financial, telecom and life sciences segments are also part of the mix. However, compounding matters is a complex, interplay between projects – big and small, complex and simple – as companies expand and grow both domestically and internationally. So, having a standardized, enterprise wide solution for project portfolio management is natural. Failing to do so is akin to having two ERP systems, one to manage “large” invoices and one to manage “small” invoices. It makes no sense and provides no enterprise wide visibility. Therefore, it is imperative for executives to understand the full range of their business commitments, the benefit to the company, current performance and associated course corrections if needed. Irrespective of industry and regardless of the use case (e.g., building a power plant, launching a new financial service or developing a new automobile) company leaders need to approach the value of enterprise project portfolio management via 3 critical areas: 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:"Cambria","serif";} 1. Greater Financial Discipline – Improve financial rigor and results through better governance and control is an imperative given today’s financial uncertainty and greater investment scrutiny. For example, as India plans a US$1 trillion investment in the country’s infrastructure how do companies ensure costs are managed? How do you control cash flow? Can you easily report this to stakeholders? 2. Improved Operational Excellence – Increase efficiency and reduce costs through robust collaboration and integration. Upwards of 66% of cost variances are driven by poor supplier collaboration. As you execute initiatives do you have visibility into the performance of your supply base? How are they integrated into the broader program plan? 3. Enhanced Risk Mitigation – Manage and react to uncertainty through improved transparency and contingency planning. What happens if you’re faced with a skills shortage? How do you plan and account for geo-political or weather related events? In summary, projects are not just the delivery of a product or service to a customer inside a predetermined schedule; they often form a contractual and even moral obligation to shareholders and stakeholders alike. Hence the intimate connection between executives and projects, with the latter providing executives with the platform to demonstrate that their organization has the capabilities and competencies needed to meet and, whenever possible, exceed their customer commitments. Effectively developing and operationalizing corporate strategy is the hallmark of successful executives and enterprise project and portfolio management allows them to achieve this goal. Article was first published for Manage India, an e-newsletter, PMI India.

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  • R Statistical Analytics with Faster Performance for Enterprise Database Access and Big Data

    - by Mike.Hallett(at)Oracle-BI&EPM
    Further demonstrating commitment to the open source community, Oracle has just released enhanced support of the R statistical programming language for Oracle Solaris and AIX in addition to Linux and Windows, connectivity to Oracle TimesTen In-Memory Database in addition to Oracle Database, and integration of hardware-specific Math libraries for faster performance.  Oracle’s Open Source distribution of R is available with the Oracle Big Data Appliance and available for download now. Oracle also offers Oracle R Enterprise, a component of Oracle Advanced Analytics that enables R processing on Oracle Database servers.   This all goes to make big data analytics more accessible in the enterprise and improving data scientist productivity with faster performance Since its introduction in 1995, R has attracted more than two million users and is widely used today for developing statistical applications that analyze big data. Analyst Report: Oracle Advances its Advanced Analytics Strategy  

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  • Partners - Steer Clear of the Unknown with Oracle Enterprise Manager12c and Plug-in Extensibility

    - by Get_Specialized!
    Imagine if you just purchased a new car and as you entered the vehicle to drive it home and you found there was no steering wheel. And upon asking the dealer you were told that it was an option and you had a choice now or later of a variety of aftermarket steering wheels that fit a wide variety of automobiles. If you expected the car to already have a steering wheel designed to manage your transportation solution, you might wonder why someone would offer an application solution where its management is not offered as an option or come as part of the solution... Using management designed to support the underlying technology and that can provide management and support  for your own Oracle technology based solution can benefit your business  a variety of ways: increased customer satisfaction, reduction of support calls, margin and revenue growth. Sometimes when something is not included or recommended , customers take their own path which may not be optimal when using your solution and has later impact on the customers satisfaction or worse a negative impact on their business. As an Oracle Partner, you can reduce your research, certification, and time to market by selecting and offering management designed, developed, and supported for Oracle product technology by Oracle with Oracle Enterprise Manager 12c. For partners with solution specific management needs or seeking to differentiate themselves in the market, Enterprise Manager 12c is extensible and provides partners the opportunity to create their own plug-ins as well as a validation program for them.  Today a number of examples by partners are available and Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* 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-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-family:"Calibri","sans-serif"; mso-ascii- mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi- mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} more on the way from such partners as NetApp for NetApp storage and Blue Medora for VMware vSphere. To review and consider further for applicability to your solution, visit  the Oracle PartnerNetwork KnowledgeZone for Enterprise Manager under the Develop Tab http://www.oracle.com/partners/goto/enterprisemanager

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  • Quadratic Programming with Oracle R Enterprise

    - by Jeff Taylor-Oracle
         I wanted to use quadprog with ORE on a server running Oracle Solaris 11.2 on a Oracle SPARC T-4 server For background, see: Oracle SPARC T4-2 http://docs.oracle.com/cd/E23075_01/ Oracle Solaris 11.2 http://www.oracle.com/technetwork/server-storage/solaris11/overview/index.html quadprog: Functions to solve Quadratic Programming Problems http://cran.r-project.org/web/packages/quadprog/index.html Oracle R Enterprise 1.4 ("ORE") 1.4 http://www.oracle.com/technetwork/database/options/advanced-analytics/r-enterprise/ore-downloads-1502823.html Problem: path to Solaris Studio doesn't match my installation: $ ORE CMD INSTALL quadprog_1.5-5.tar.gz * installing to library \u2018/u01/app/oracle/product/12.1.0/dbhome_1/R/library\u2019 * installing *source* package \u2018quadprog\u2019 ... ** package \u2018quadprog\u2019 successfully unpacked and MD5 sums checked ** libs /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64   -PIC  -g  -c aind.f -o aind.o bash: /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95: No such file or directory *** Error code 1 make: Fatal error: Command failed for target `aind.o' ERROR: compilation failed for package \u2018quadprog\u2019 * removing \u2018/u01/app/oracle/product/12.1.0/dbhome_1/R/library/quadprog\u2019 $ ls -l /opt/solarisstudio12.3/bin/f95 lrwxrwxrwx   1 root     root          15 Aug 19 17:36 /opt/solarisstudio12.3/bin/f95 -> ../prod/bin/f90 Solution: a symbolic link: $ sudo mkdir -p /opt/SunProd/studio12u3 $ sudo ln -s /opt/solarisstudio12.3 /opt/SunProd/studio12u3/ Now, it is all good: $ ORE CMD INSTALL quadprog_1.5-5.tar.gz * installing to library \u2018/u01/app/oracle/product/12.1.0/dbhome_1/R/library\u2019 * installing *source* package \u2018quadprog\u2019 ... ** package \u2018quadprog\u2019 successfully unpacked and MD5 sums checked ** libs /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64   -PIC  -g  -c aind.f -o aind.o /opt/SunProd/studio12u3/solarisstudio12.3/bin/ cc -xc99 -m64 -I/usr/lib/64/R/include -DNDEBUG -KPIC  -xlibmieee  -c init.c -o init.o /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64  -PIC -g  -c -o solve.QP.compact.o solve.QP.compact.f /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64  -PIC -g  -c -o solve.QP.o solve.QP.f /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64   -PIC  -g  -c util.f -o util.o /opt/SunProd/studio12u3/solarisstudio12.3/bin/ cc -xc99 -m64 -G -o quadprog.so aind.o init.o solve.QP.compact.o solve.QP.o util.o -xlic_lib=sunperf -lsunmath -lifai -lsunimath -lfai -lfai2 -lfsumai -lfprodai -lfminlai -lfmaxlai -lfminvai -lfmaxvai -lfui -lfsu -lsunmath -lmtsk -lm -lifai -lsunimath -lfai -lfai2 -lfsumai -lfprodai -lfminlai -lfmaxlai -lfminvai -lfmaxvai -lfui -lfsu -lsunmath -lmtsk -lm -L/usr/lib/64/R/lib -lR installing to /u01/app/oracle/product/12.1.0/dbhome_1/R/library/quadprog/libs ** R ** preparing package for lazy loading ** help *** installing help indices   converting help for package \u2018quadprog\u2019     finding HTML links ... done     solve.QP                                html      solve.QP.compact                        html  ** building package indices ** testing if installed package can be loaded * DONE (quadprog) ====== Here is an example from http://cran.r-project.org/web/packages/quadprog/quadprog.pdf > require(quadprog) > Dmat <- matrix(0,3,3) > diag(Dmat) <- 1 > dvec <- c(0,5,0) > Amat <- matrix(c(-4,-3,0,2,1,0,0,-2,1),3,3) > bvec <- c(-8,2,0) > solve.QP(Dmat,dvec,Amat,bvec=bvec) $solution [1] 0.4761905 1.0476190 2.0952381 $value [1] -2.380952 $unconstrained.solution [1] 0 5 0 $iterations [1] 3 0 $Lagrangian [1] 0.0000000 0.2380952 2.0952381 $iact [1] 3 2 Here, the standard example is modified to work with Oracle R Enterprise require(ORE) ore.connect("my-name", "my-sid", "my-host", "my-pass", 1521) ore.doEval(   function () {     require(quadprog)   } ) ore.doEval(   function () {     Dmat <- matrix(0,3,3)     diag(Dmat) <- 1     dvec <- c(0,5,0)     Amat <- matrix(c(-4,-3,0,2,1,0,0,-2,1),3,3)     bvec <- c(-8,2,0)    solve.QP(Dmat,dvec,Amat,bvec=bvec)   } ) $solution [1] 0.4761905 1.0476190 2.0952381 $value [1] -2.380952 $unconstrained.solution [1] 0 5 0 $iterations [1] 3 0 $Lagrangian [1] 0.0000000 0.2380952 2.0952381 $iact [1] 3 2 Now I can combine the quadprog compute algorithms with the Oracle R Enterprise Database engine functionality: Scale to large datasets Access to tables, views, and external tables in the database, as well as those accessible through database links Use SQL query parallel execution Use in-database statistical and data mining functionality

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  • Windows 7 Enterprise : Microsoft sort une version d'évaluation gratuite de l'édition "réservée aux professionnels de l'informatique"

    Microsoft propose une version d'évaluation gratuite de Windows 7 Enterprise Que pensez-vous de cette édition spécialement dédiée aux professionnels de l'informatique Le 8 avril 2014, Windows XP sera de l'histoire ancienne pour Microsoft. Plus aucune mise à jour et plus aucun support ne seront proposés pour le système d'exploitation n°1 dans le monde. Vista a suivi mais a déboussolé tant d'utilisateurs que pour beaucoup de professionnels IT, le vrai successeur de Windows XP est en fait Windows 7. Et plus exactement Windows 7 Enterprise. Au moment où Microsoft vient de lancer une offre spéciale de 90 jours d'essai gratuit pour cette édition spéciale (justement en rapport avec...

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  • Using Git in Enterprise environment

    - by sarat
    Git is an excellent version control. If we exclude the fact that, it doesn't have an excellent GUI support, it's really good and fast. But the source controls like Clearcase has large support for enterprise customers. Companies investing huge amount for source control servers and licesense. Of late most of the large companies like Google adopting Git over the other version controls. But the company is having strong open source group which consistently provide development and support for the tool (Even they might be having a custom version of Git of their own). At the same time, large companies are not really bothered about adopting open source projects and make it relevant for them. Is Git really a reliable tool for enterprise environment, especially for Windows Platform? The support is a question for Git as it's an open source version control. Any companies are there to provide solutions and support? How the server costs comparing to other version controls like Clear-case?

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  • Enterprise Linux

    Enterprise Linux is the open source Linux operating system used by corporate and SMB clients for servers, desktops, workstations and mobile deployments.

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  • SharePoint 2010 Design & Deployment Best Practices

    - by Michael Van Cleave
    Well now that SharePoint 2010 has successfully launched and everyone is scratching for every piece of best practices information they can get their hands on, I would like to invite anyone and everyone to come and take part in ShareSquared's next webinar. The webinar will cover some key information such as: Pros and cons of the different approaches to installing and configuring SharePoint 2010 Configuration Best Practices for SharePoint 2010 farms Services architecture; dependencies, licensing, and topologies Information Architecture guidance for sizing, multilingual support, multi-tenancy, and more. Using tools such as SharePoint Composer and SharePoint Maestro to configure and deploy SharePoint 2010 And most of all, avoiding common pitfalls for installation and deployment. What is better than all of that? Well, the even more exciting thing is that the presenters will be our very own SharePoint MVP's Gary Lapointe and Paul Stork. If you don't know who these guys are then you should definitely check out their blogs and their contributions to the SharePoint community. To get more information and register click here: REGISTER Other great links to information in this post: ShareSquared, Inc Gary Lapointe's Blog Paul Stork's Blog SharePoint Composer Check it out and get up to speed from some of the best in the industry. Michael

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  • First Step Towards Rapid Enterprise Application Deployment

    - by Antoinette O'Sullivan
    Take Oracle VM Server for x86 training as a first step towards deploying enterprise applications rapidly. You have a choice between the following instructor-led training: Oracle VM with Oracle VM Server for x86 1-day Seminar. Take this course from your own desk on one of the 300 events on the schedule. This seminar tells you how to build a virtualization platform using the Oracle VM Manager and Oracle VM Server for x86 and to sustain the deployment of highly configurable, inter-connected virtual machines. Oracle VM Administration: Oracle VM Server for x86 3-day hands on course. This course teaches you how to build a virtualization platform using the Oracle VM Manager and Oracle VM Server for x86. You learn how deploy and manage highly configurable, inter-connected virtual machines. The course teaches you how to install and configure Oracle VM Server for x86 as well as details of network and storage configuration, pool and repository creation, and virtual machine management.Take this course from your own desk on one of the 450 events on the schedule. You can also take this course in an Oracle classroom on one of the following events:  Location  Date  Delivery Language  Istanbul, Turkey  12 November 2012  Turkish  Wellington, New Zealand  10 Dec 2012  English  Roseveille, United States  19 November 2012  English  Warsaw, Poland  17 October 2012  Polish  Paris, France  17 October 2012  French  Paris, France  21 November 2012  French  Dusseldorfm Germany  5 November 2012  German For more information on Oracle's Virtualization courses see http://oracle.com/education/vm

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  • Using JuJu with private Openstack cloud deployment?

    - by user76054
    I'm seeing a number of problems trying to use JuJu with our internally deployed Openstack cloud. Most of this appears to be centered around DNS host resolution as well as the need to deal with our company's internal HTTP proxies. Our Openstack deployment relies upon an unroutable 172.16.0.0/12 block of addresses for VLAN allocation to each project (tenant) hosted on our internal cloud. User's have the option of assigning one or more floating addresses to instances, allocated from a block of routable addresses on our internal companies LAN. Currently, Openstack doesn't register instance names with anything other than the DNSMASQ service running on the cloud controller. As such, there's no way to resolve this address through our internal DNS hierarchy (this issue has already been reported as Bug #945505). As such, even though I can bootstrap my JuJu server node, I can't connect to it with the JuJu client, since it can't resolve the local (private) network name. I am able to ssh to the node, once I've assigned it an internally routable (i.e. floating) address. Which leads to the next issue. Next, to install software on an instance running in our cloud, it must have our internal proxy address defined - either in the apt.conf file or via environment variables. Unfortunately, when bootstrapping the server node, there's no provision to pass this info into a instance via JuJu environment.yaml file (if this is even the best way to handle this issue). As a result, the bootstrap node is unable to install the required packages. I'm assuming (dangerous, I know) that the way that I've deployed Openstack in our internal environment is probably not unique. Has anyone else encountered these issues? And more importantly, are work arounds available? Regards, Ross

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  • Changing the Default Windows Phone 7 Deployment Target In Visual Studio 2010

    - by mbcrump
    After you download and install the January 2011 Windows Phone update, you will notice one annoying thing. The default deployment target for Windows Phone Projects in Visual Studio changes to Windows Phone 7 Device. Before the update, it defaulted to the Emulator. I found this extremely annoying as I’m more than likely going to test with the emulator before putting it on my actual device. Now to make things fair, Microsoft told you they were going to switch the default and even provided a solution, but you will have to check a tiny paragraph in the release notes. The good news is that its very easy to do: Simply navigate out to : %LocalAppData%\Microsoft\Phone Tools\CoreCon See the folder named, “10.0”? Go ahead and delete it. Now, the folder will be completely empty and if you fire up Visual Studio 2010 you will see we are now defaulting to the Emulator again. In my opinion, this should have been left at Emulator. Now, new WP7 developers will get a build error when they first start a WP7 project and will not know why until they read the error list.  Subscribe to my feed CodeProject

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  • TFS SQL Deployment Data Script

    - by Greg
    We are using TFS and SQL 2005 (looking to upgrade to SQL 2012 if that makes a difference). We store our database schema in a Visual Studio Database project (VS 2010). When code is released to live we currently use the Visual Studio Database Project to build a script for all our schema changes. The problem we have been getting is having to alter or add to that script to add/fix data for the deployment. For example if we add a new non-nullable column to an existing table we need to populate that column with data during the insert. Other times we may want to create new records in transactional tables (e.g. assign specific users to a new security access). Do Visual Studio Database Projects have a way to store these scripts that only need to be run once and somehow include them in the build? Does it know which scripts need to be run (for example if we are inserting default data we don't want to do that again a second time)? OR Is there a better way to manage these scripts?

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