Search Results

Search found 74473 results on 2979 pages for 'data table'.

Page 155/2979 | < Previous Page | 151 152 153 154 155 156 157 158 159 160 161 162  | Next Page >

  • AT&T’s new prepaid plan for smartphones –$65 for 1 GB data and unlimited calls, text

    - by Gopinath
    AT&T is stepping up competition in prepaid mobile plans offering and trying to attract more smartphone customers who are not interested to lock in with expensive contracts. Today AT&T announced a new prepaid plan for smartphone customers which offers 1 GB of , unlimited calls and text for $65 a month. Compared to existing plans that offers same , the new plan saves $10 per month and rates are comparable to T-Mobile prepaid service. The new plan will be available to all prepaid customers from October 7, 2012. I’m using AT&T prepaid plan for the past 3 months and paying $75 for 1 GB data, unlimited calls. Few days ago I did some analysis on prepaid plans offered by various network providers and found T-Mobile has cheapest plans that suits my needs – $60 for 2 GB data,  unlimited calls and texts. Even though T Mobile’s network coverage is not as great as AT&T in the area where I live, I planned to switch to save $15 per month. After reading today’s announcement, I don’t think that I’ll switch to T Mobile for saving $5 + 1 GB of extra data.  Thanks AT&T for the new plan, I’ll stay with you for now. via engadget

    Read the article

  • Can I use Ubuntu One to sync data fiies between two remote computers

    - by Sleepy John
    I've got two computers, both running Ubuntu with files in their home folders sync'd in to Ubuntu One. I'd like to know if it's possible to make Ubuntu One automatically download data changes that have been uploaded automatically to Ubuntu One from one computer to the equivalent data file in the other. Clarifying a bit further, I've installed Red Notebook in both computers and so they each have their own /.rednotebook/data folder containing a series of .txt files corresponding to the monthly entries in each of them. These are sync'd to upload any changes to those .txt files to Ubuntu One. My question is can I, and if so how, do I make Ubuntu One automatically download and replace those .txt files in the other computer after they've been updated and uploaded from the first computer? I did labouriously manage to download all those text files which had been uploaded from the first computer, from Ubuntu One one-by-one to the second computer, but what I want to do is automate this process and that's where I'm stuck. I'm aware that things could get a bit complicated if both my computers were on-line at the same time and both were simultaneously making different Red Notebook entries, so that's not the scenario I'm trying to cover. All I want to achieve is that whatever updates to the files have been uploaded by one computer, will automatically be downloaded to the same-named files in the other computer as soon as that second computer appears on line and detects that Ubuntu One has matching but more recent sync'd files than the ones it's holding.

    Read the article

  • Explaining the difference between OData & RDF by way of analogy

    - by jamiet
    A couple of months back I wrote a blog post entitled Microsoft, OData and RDF where I gave a high level view of the OData protocol and how it compares to RDF. I talked about linked data, triples and such like which may have been somewhat useful however jargon-heavy. Earlier today Dr Michael Hausenblas (blog | twitter) offered an analogy which I think is probably more useful and with Michael's permission I'm re-posting it here:Imagine a Web (a Web of Documents, if you wish), which is not based on HTML and hyperlinks, but on MS Word documents. The documents are all available on the Internet, so you can download them and consume the content. But after you’re done with a certain document that talks about a book, how do you learn more about it? For example, reviews about the book or where you can purchase it? Maybe the original document mentions that there is some more related information on another server. So you’d need to go there and look for the related bit of information yourself. You see? That’s what the Web is great at – you just click on a hyperlink and it takes you to the document (or section) you’re interested in. All the legwork is taken care of for you through HTML, URIs and HTTP.Hm, right, but how is this related to OData? Well, OData feels a bit like the above mentioned scenario, just concerning data. Of course you – well actually rather a software program I guess – can consume it (a single source), but that’s it.from Oh – it is data on the Web by Michael Hausenblas I believe that OData has loads of use cases but its important to understand its limitations as well and I think Michael has done a good job of explaining those limitations.@Jamiet   Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

    Read the article

  • Representation of data in application versus database

    - by user1815201
    I'm going to make an application that will be given data to put in a database. The data will for the most part be the same, but the way it is formatted will vary a lot (could be in anything from text files to .xls to .doc). I'm not a very experienced developer, but I can see some potential issues and I want to minimize them. First off I have decided to use the DAO pattern, so that I can easily support new file formats or file suddenly formatted in different ways. What I really wonder about though, is how I should manage the data itself within my application. I'm thinking that the database DAO should have models representing each table of the database with the same relations between them, to make the uploading process easy. But should the filesystem DAO's have to use the same models? I can imaging that when the database changes, the change will suddenly propagate throughout the entire system, all DAOs and models alike. And that is obviously a bad thing. I'm a little bit tired and out of time. Will update with what ever questions you have. Thanks!

    Read the article

  • How should I evaluate the Database Solution for Large Data Application

    - by GµårÐïåñ
    Background I have been tasked to write an application that will be a combination of document and inventory management in VB.net which will be used to store document images in TIFF, PDF, XPS, TXT, DOC, PPT and so on as binary data that can be retrieved for viewing, printing, and possible OCR to be searchable as well along with meta data such as sender, recipient, type of document, date, source, etc. So the table would probably be something like: DOC_NAME, DOC_DATE, NOTES, ... DOC_BINARY (where the actual document will be put inside) Help Please I need help with understanding how to evaluate my database options. What my concern is finding a database solution that will not become unstable due to size restrictions, records limitations and performance. Some of the options are MS_SQL, SQL Express, SQLite, mySQL, and Access. Now I can pretty much eliminate Access right off the bat as it is just too limiting and not scalable. I can further eliminate SQL Express because of the 2 GB limit and again scalability. So I believe that leaves me with MS_SQL, SQLite and mySQL (note, I am open to alternatives). And this is where I need help in understanding how to evaluate those databases. The goal is that the data is all in one place (a single file) that will make backup and portability easier. For small volume usage, pretty much any solution will hold for a while, but my goal is to think ahead and make sure its able to withstand heavy large volume usage as well. Another consideration is also the interoperability with .NET and stability of such code to avoid errors and memory leaks. How should I evaluate my database options for this scenario?

    Read the article

  • How to Export Flash Animation Data

    - by charliep
    I'd love for my partner, the artist, to be able to animate using flash movieclips and timelines. Then I, the programmer, would like to read the raw Flash info and re-program it into my engine of choice (which happens to be Torque2D). The data I'd want is the bitmap images that were used in Flash, like the head and body the links between the images, like where the head connects to the body the motion data from the flash animation, like move, rotate (at what speed), shear, etc. for the head or arms or whatever. Is there any way to get this data? Here's what I know so far. There are tools like SWFSheet and Spriteloq that convert the entire flash animation into a frame by frame sprite animation (in a sprite sheet). This would take too much space in my case, so I'd like to avoid that. Re-animating on the fly would take much less texture memory. There is a PDF that describes the SWF file format but NOT the individual components like the movieclips. So anyone know of a library I can use, or how I can learn more about the movieclip components and whatnot? (more better tags: transform, export, convert)

    Read the article

  • GIS-based data visualization and maintenance tool

    - by Dave Jarvis
    Background Looking to leverage an existing GIS system for exploring organizational data. Architecture The following figure represents a high-level overview of the system's desired features: The most basic usage would be as follows: The user visits a web site. The system presents a map (having regions, cities, and buildings). The user drills-down on the map to a particular building. The system provides a basic CRUD interface. The user can view and modify information about personnel (e.g., their assigned teams), equipment (e.g., network appliances), applications, and the building itself (e.g., contact and phone numbers). Ideally, all the components should be open-source (or otherwise free). Problem This must be a small project that needs a quick (but functional) prototype, mostly to confirm whether or not such a system would be useful in the long term. Questions What software components would you use to quickly develop a working prototype? What open-source solutions already exist, if any? Ideas Here is what I am thinking: PostGIS - Define the regions, cities, and sites Google Maps - Display an interactive, clickable map geoJSON - Protocol between PostGIS and Google Maps Seam - CRUD interface Custom Development For example, this would entail: Installation and configuration Configure SSH for remote logins Subversion (or git) PostgreSQL PostGIS Java Tomcat Seam JasperReports Enter GIS information into PostGIS Aggregate data sources into PostgreSQL database Develop starting page for map interface Develop clickable Google Maps interface Develop summary reports Develop CRUD interface using Seam for data maintenance Surely something like this already exists? Thank you!

    Read the article

  • Restoring an Ubuntu Server using ZFS RAID-Z for data

    - by andybjackson
    Having become disillusioned with hacking Buffalo NAS devices, I've decided to roll my own Home server. After some research, I have settled on an HP Proliant Microserver with Ubuntu Server and ZFS (OS on 1 Ext4 disk, Data on 3 RAID-Z disks). As Joel Spolsky and Geoff Atwood say with regards to backup, I can't rest until I have done a restore in all of the failure scenarios that I am seeking to protect against. Q: How to configure Ubuntu Server to recognise a pre-existing RAID-Z array? Clearly if one of the data disks die - then that is a resilvering scenario, which is well documented. If two of the data disks die, then I am into regular backup/restore land. If the OS dies and I can restore, also an easy scenario. But if the OS dies and I can't restore, then I need to recreate an Ubuntu server. But how do I get this to recognise my RAID-Z array? Is the necessary configuration information stored within and across the RAID-Z array and simply need to be found (if so, how)? Or does it reside on the OS ext4 disk (in which case how do I recreate it)?

    Read the article

  • Partner Blog Series: PwC Perspectives - The Gotchas, The Do's and Don'ts for IDM Implementations

    - by Tanu Sood
    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-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0in; line-height:12.0pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial","sans-serif"; mso-ascii-font-family:Arial; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Arial; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableMediumList1Accent6 {mso-style-name:"Medium List 1 - Accent 6"; mso-tstyle-rowband-size:1; mso-tstyle-colband-size:1; mso-style-priority:65; mso-style-unhide:no; border-top:solid #E0301E 1.0pt; mso-border-top-themecolor:accent6; border-left:none; border-bottom:solid #E0301E 1.0pt; mso-border-bottom-themecolor:accent6; border-right:none; 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:"Georgia","serif"; color:black; mso-themecolor:text1; mso-ansi-language:EN-GB;} table.MsoTableMediumList1Accent6FirstRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:cell-none; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; font-family:"Verdana","sans-serif"; mso-ascii-font-family:Georgia; mso-ascii-theme-font:major-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:major-fareast; mso-hansi-font-family:Georgia; mso-hansi-theme-font:major-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:major-bidi;} table.MsoTableMediumList1Accent6LastRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; color:#968C6D; mso-themecolor:text2; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6FirstCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-column; mso-style-priority:65; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6LastCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6OddColumn {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} table.MsoTableMediumList1Accent6OddRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} 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-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0in; line-height:12.0pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial","sans-serif"; mso-ascii-font-family:Arial; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Arial; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableMediumList1Accent6 {mso-style-name:"Medium List 1 - Accent 6"; mso-tstyle-rowband-size:1; mso-tstyle-colband-size:1; mso-style-priority:65; mso-style-unhide:no; border-top:solid #E0301E 1.0pt; mso-border-top-themecolor:accent6; border-left:none; border-bottom:solid #E0301E 1.0pt; mso-border-bottom-themecolor:accent6; border-right:none; 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:"Georgia","serif"; color:black; mso-themecolor:text1; mso-ansi-language:EN-GB;} table.MsoTableMediumList1Accent6FirstRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:cell-none; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; font-family:"Arial Narrow","sans-serif"; mso-ascii-font-family:Georgia; mso-ascii-theme-font:major-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:major-fareast; mso-hansi-font-family:Georgia; mso-hansi-theme-font:major-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:major-bidi;} table.MsoTableMediumList1Accent6LastRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; color:#968C6D; mso-themecolor:text2; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6FirstCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-column; mso-style-priority:65; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6LastCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6OddColumn {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} table.MsoTableMediumList1Accent6OddRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} It is generally accepted among business communities that technology by itself is not a silver bullet to all problems, but when it is combined with leading practices, strategy, careful planning and execution, it can create a recipe for success. This post attempts to highlight some of the best practices along with dos & don’ts that our practice has accumulated over the years in the identity & access management space in general, and also in the context of R2, in particular. Best Practices The following section illustrates the leading practices in “How” to plan, implement and sustain a successful OIM deployment, based on our collective experience. Planning is critical, but often overlooked A common approach to planning an IAM program that we identify with our clients is the three step process involving a current state assessment, a future state roadmap and an executable strategy to get there. It is extremely beneficial for clients to assess their current IAM state, perform gap analysis, document the recommended controls to address the gaps, align future state roadmap to business initiatives and get buy in from all stakeholders involved to improve the chances of success. When designing an enterprise-wide solution, the scalability of the technology must accommodate the future growth of the enterprise and the projected identity transactions over several years. Aligning the implementation schedule of OIM to related information technology projects increases the chances of success. As a baseline, it is recommended to match hardware specifications to the sizing guide for R2 published by Oracle. Adherence to this will help ensure that the hardware used to support OIM will not become a bottleneck as the adoption of new services increases. If your Organization has numerous connected applications that rely on reconciliation to synchronize the access data into OIM, consider hosting dedicated instances to handle reconciliation. Finally, ensure the use of clustered environment for development and have at least three total environments to help facilitate a controlled migration to production. If your Organization is planning to implement role based access control, we recommend performing a role mining exercise and consolidate your enterprise roles to keep them manageable. In addition, many Organizations have multiple approval flows to control access to critical roles, applications and entitlements. If your Organization falls into this category, we highly recommend that you limit the number of approval workflows to a small set. Most Organizations have operations managed across data centers with backend database synchronization, if your Organization falls into this category, ensure that the overall latency between the datacenters when replicating the databases is less than ten milliseconds to ensure that there are no front office performance impacts. Ingredients for a successful implementation During the development phase of your project, there are a number of guidelines that can be followed to help increase the chances for success. Most implementations cannot be completed without the use of customizations. If your implementation requires this, it’s a good practice to perform code reviews to help ensure quality and reduce code bottlenecks related to performance. We have observed at our clients that the development process works best when team members adhere to coding leading practices. Plan for time to correct coding defects and ensure developers are empowered to report their own bugs for maximum transparency. Many organizations struggle with defining a consistent approach to managing logs. This is particularly important due to the amount of information that can be logged by OIM. We recommend Oracle Diagnostics Logging (ODL) as an alternative to be used for logging. ODL allows log files to be formatted in XML for easy parsing and does not require a server restart when the log levels are changed during troubleshooting. Testing is a vital part of any large project, and an OIM R2 implementation is no exception. We suggest that at least one lower environment should use production-like data and connectors. Configurations should match as closely as possible. For example, use secure channels between OIM and target platforms in pre-production environments to test the configurations, the migration processes of certificates, and the additional overhead that encryption could impose. Finally, we ask our clients to perform database backups regularly and before any major change event, such as a patch or migration between environments. In the lowest environments, we recommend to have at least a weekly backup in order to prevent significant loss of time and effort. Similarly, if your organization is using virtual machines for one or more of the environments, it is recommended to take frequent snapshots so that rollbacks can occur in the event of improper configuration. Operate & sustain the solution to derive maximum benefits When migrating OIM R2 to production, it is important to perform certain activities that will help achieve a smoother transition. At our clients, we have seen that splitting the OIM tables into their own tablespaces by categories (physical tables, indexes, etc.) can help manage database growth effectively. If we notice that a client hasn’t enabled the Oracle-recommended indexing in the applicable database, we strongly suggest doing so to improve performance. Additionally, we work with our clients to make sure that the audit level is set to fit the organization’s auditing needs and sometimes even allocate UPA tables and indexes into their own table-space for better maintenance. Finally, many of our clients have set up schedules for reconciliation tables to be archived at regular intervals in order to keep the size of the database(s) reasonable and result in optimal database performance. For our clients that anticipate availability issues with target applications, we strongly encourage the use of the offline provisioning capabilities of OIM R2. This reduces the provisioning process for a given target application dependency on target availability and help avoid broken workflows. To account for this and other abnormalities, we also advocate that OIM’s monitoring controls be configured to alert administrators on any abnormal situations. Within OIM R2, we have begun advising our clients to utilize the ‘profile’ feature to encapsulate multiple commonly requested accounts, roles, and/or entitlements into a single item. By setting up a number of profiles that can be searched for and used, users will spend less time performing the same exact steps for common tasks. We advise our clients to follow the Oracle recommended guides for database and application server tuning which provides a good baseline configuration. It offers guidance on database connection pools, connection timeouts, user interface threads and proper handling of adapters/plug-ins. All of these can be important configurations that will allow faster provisioning and web page response times. Many of our clients have begun to recognize the value of data mining and a remediation process during the initial phases of an implementation (to help ensure high quality data gets loaded) and beyond (to support ongoing maintenance and business-as-usual processes). A successful program always begins with identifying the data elements and assigning a classification level based on criticality, risk, and availability. It should finish by following through with a remediation process. Dos & Don’ts Here are the most common dos and don'ts that we socialize with our clients, derived from our experience implementing the solution. Dos Don’ts Scope the project into phases with realistic goals. Look for quick wins to show success and value to the stake holders. Avoid “boiling the ocean” and trying to integrate all enterprise applications in the first phase. Establish an enterprise ID (universal unique ID across the enterprise) earlier in the program. Avoid major UI customizations that require code changes. Have a plan in place to patch during the project, which helps alleviate any major issues or roadblocks (product and database). Avoid publishing all the target entitlements if you don't anticipate their usage during access request. Assess your current state and prepare a roadmap to address your operations, tactical and strategic goals, align it with your business priorities. Avoid integrating non-production environments with your production target systems. Defer complex integrations to the later phases and take advantage of lessons learned from previous phases Avoid creating multiple accounts for the same user on the same system, if there is an opportunity to do so. Have an identity and access data quality initiative built into your plan to identify and remediate data related issues early on. Avoid creating complex approval workflows that would negative impact productivity and SLAs. Identify the owner of the identity systems with fair IdM knowledge and empower them with authority to make product related decisions. This will help ensure overcome any design hurdles. Avoid creating complex designs that are not sustainable long term and would need major overhaul during upgrades. Shadow your internal or external consulting resources during the implementation to build the necessary product skills needed to operate and sustain the solution. Avoid treating IAM as a point solution and have appropriate level of communication and training plan for the IT and business users alike. Conclusion In our experience, Identity programs will struggle with scope, proper resourcing, and more. We suggest that companies consider the suggestions discussed in this post and leverage them to help enable their identity and access program. This concludes PwC blog series on R2 for the month and we sincerely hope that the information we have shared thus far has been beneficial. For more information or if you have questions, you can reach out to Rex Thexton, Senior Managing Director, PwC and or Dharma Padala, Director, PwC. We look forward to hearing from you. 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-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0in; line-height:12.0pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial","sans-serif"; mso-ascii-font-family:Arial; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Arial; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Meet the Writers: Dharma Padala is a Director in the Advisory Security practice within PwC.  He has been implementing medium to large scale Identity Management solutions across multiple industries including utility, health care, entertainment, retail and financial sectors.   Dharma has 14 years of experience in delivering IT solutions out of which he has been implementing Identity Management solutions for the past 8 years. Praveen Krishna is a Manager in the Advisory Security practice within PwC.  Over the last decade Praveen has helped clients plan, architect and implement Oracle identity solutions across diverse industries.  His experience includes delivering security across diverse topics like network, infrastructure, application and data where he brings a holistic point of view to problem solving. Scott MacDonald is a Director in the Advisory Security practice within PwC.  He has consulted for several clients across multiple industries including financial services, health care, automotive and retail.   Scott has 10 years of experience in delivering Identity Management solutions. John Misczak is a member of the Advisory Security practice within PwC.  He has experience implementing multiple Identity and Access Management solutions, specializing in Oracle Identity Manager and Business Process Engineering Language (BPEL).

    Read the article

  • Data Movement and the Decision Matrix

    - by BuckWoody
    Maybe it’s my military background, or maybe I’ve always had this predilection, but I like to use two devices when I need to make a complex decision: A checklist and a decision matrix. I like to use a checklist because it ensures that I remember the big bits of what I need to do, and brings up questions or areas that I didn’t think about when evaluating options for the decision. And the decision matrix – that’s the thing I use to actually lay out those options. It’s simply a spreadsheet-like grid (I use Excel, but paper and pencil works as well) that lays out the requirements or advantages for the decision across the top, and the options I have on the left-hand side. Then in the “cells” I put whether or not that option on the left will meet the requirement in that column. I then simply “weight” each cell to organize the choices by best-fit. The right answer (or answers) will float right to the top. I was asked yesterday about options for moving data in SQL Server to another system. There are just dozens of ways to do this, from bcp to Replication, each with certain advantages and costs. But asking the questions for the top row first helped me show the person that it isn’t a particular technology that is important, it’s laying out those requirements and thinking about which elements are more important than the other. For instance, is it more important to have the data moved all the time, or is it OK if that happens once in a while? Does the data have to move in two directions or just one? All of these will help that answer jump right out. Try it sometime – it’s a great learning exercise, since it will force you to focus on filling out the matrix. The answer is out there, Neo. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

    Read the article

  • Recovering data from /

    - by Abhijit Gavas
    I accidentally installed Ubuntu to one of my data drives from Windows. The drive was a NTFS drive and contained about 80 GB of important data. The size of the drive is 110 GB. Its new file system is ext4. In an attempt to recover the data, I downloaded foremost and tried the following commands: foremost -i / -o /media/281C8DB01C8D7998/Recovery/ -T -v foremost -i /dev/sda7 -o /media/281C8DB01C8D7998/Recovery/ -T -v (sda7 is the drive in question.) It appears that with either command, foremost gets stuck reading some file. Here is the console output: abhi@abi-PC:/dev$ foremost -i /dev/sda7 -o /media/281C8DB01C8D7998/Recovery/ -T -v Foremost version 1.5.7 by Jesse Kornblum, Kris Kendall, and Nick Mikus Audit File Foremost started at Fri Sep 28 20:58:00 2012 Invocation: foremost -i /dev/sda7 -o /media/281C8DB01C8D7998/Recovery/ -T -v Output directory: /media/281C8DB01C8D7998/Recovery_Fri_Sep_28_20_58_00_2012 Configuration file: /etc/foremost.conf Processing: stdin |------------------------------------------------------------------ File: stdin Start: Fri Sep 28 20:58:00 2012 Length: Unknown Num Name (bs=512) Size File Offset Comment Killed As you can see I have to kill it from system monitor. This approach does not seem to be working. What else could I try to recover the files? Please help. The files are very important and I will be devastated if I cannot recover them.

    Read the article

  • How to parse JSON data from web more faster [closed]

    - by Kaidul Islam Sazal
    I have json inventory inventory.json on the server like this: [ { "body" : "SUV", "color" : { "ext" : "White diamond pearl", "int" : "Taupe" }, "id" : "276181", "make" : "Acura", "miles" : 35949, "model" : "RDX", "pic" : [ { "full" : "http://images1.dealercp.com/90961/000JNBD/001_0292.jpg" } ], "power" : { "drive" : "Front wheel drive", "eng" : "2.3L DOHC PGM-FI 16-VALVE", "trans" : "Automatic" }, "price" : { "net" : 29488 }, "stock" : "6942", "trim" : "AWD 4dr Tech Pkg SUV", "vin" : "5J8TB2H53BA000334", "year" : 2011 }, { "body" : "Sedan", "color" : { "ext" : "Premium white pearl", "int" : "Taupe" }, "id" : "275622", "make" : "Acura", "miles" : 40923, "model" : "TSX", "pic" : [ { "full" : "http://images1.dealercp.com/90961/000JMC6/001_1765.jpg" } ], "power" : { "drive" : "Front wheel drive", "eng" : "2.4L L4 MPI DOHC 16V", "trans" : "Automatic" }, "price" : { "net" : 22288 }, "stock" : "6945", "trim" : "4dr Sdn I4 Auto Sedan", "vin" : "JH4CU2F66AC011933", "year" : 2010 } ] here are two index, There are almost 5000 index like this. I parsed this json like this: var url = "inventory/inventory.json"; $.getJSON(url, function(data){ $.each(data, function(index, item){ //straight-forward loop if(item.year == 2012) { $('#desc').append(item.make + ' ' + item.model + ' ' + '<br/>' + item.price.net + '<br/>' + item.pic[0].full); } }); }); This is working fine.But the problem is that, this searching and fetching process is little bit slow as there are 5000 indexes already and it's increasing day by day. It seems that, it is a straight-forward loop to parse the data and a normal brute-force method. Now I want to know if there any time efiicient way to parse more faster.Any faster method to parse instead of straight-forward loop ?

    Read the article

  • About online game servers and how to handle data

    - by TreantBG
    So my question isn't about what technology to use or how to do this or that, but a more general question. I'm currently developing a action third person shooter. With elements of RPG - weapon,armor upgrades and items. Players will be able to create new games or join old ones. So my question is how to create the game server that players will play in. I have two ideas on my mind. The player who made the game is the server. All data passes trough him and he send this data to the server updating the database of the players with their XP points kills/deaths score and other. Or my host machine is the server, the player who made the game just will open new instance on my host and will be like client. And all players send their input data to the host, the host updates the game and send response back to client for any new changes like where is the enemy and other. And if i choose option 1 is there a chance the host to change the game content and manipulate the game results? (I think there is but i'm not sure) And if i choose option 2 isn't that raising the response time and potentially the game lag? or maybe there is another option?

    Read the article

  • Agile Data Book from O'Reilly Media

    - by Compudicted
    Originally posted on: http://geekswithblogs.net/Compudicted/archive/2013/07/01/153309.aspxAs part of my ongoing self-education and approaching of some free time, yeah, both is a must for every IT person and geek! I have carefully examined the latest trends in the Computersphere with whatever tools I had at my disposal (nothing really fancy was used) and came to a conclusion that for a database pro the *hottest* topic today is undoubtedly the #BigData and all the rapidly growing and spawning ecosystem around it. Having recently immersed myself into the NoSQL world (let me tell here right away NoSQL means Not Only SQL) one book really stood out of the crowd: Book site: http://shop.oreilly.com/product/0636920025054.doDespite being a new book I am sure it will end up on the tables of many Big Data Generalists.In a few dozen words, it is primarily for two reasons:1) The author understands that a  typical business today cannot wait for a Data Scientist for too long to deliver results demanding as usual a very quick turnaround on investments (ROI), and 2) The book covers all the needed and proven modern brick and mortar offerings to get the job done by a relatively newcomer to the Big Data World.It certainly enables such a professional to grow and expand based on the acquired knowledge, and one can truly do it very fast.

    Read the article

  • Advantages of relational databases over VSAM, ISAM and hierarchical data stores

    - by llaszews
    When migrating companies from legacy environments to the cloud, invariably you run into older hierarchical, flat file, VSAM, ISAM and other legacy data stores. There are many advantages to moving these databases into a relational database structure. The most important which is that most cloud providers run on relational database models. AWS, for example, supports Oracle, SQL Server, and MySQL. The top three 'other reasons' for moving to a relational database are: 1. Data Access – Thousands of database access tools from query creation to business intelligence. 2. Management and monitoring – Hundreds of tools for management and monitoring of the database. 3. Leverage all the free tools from relational database vendors. Free Oracle database tools include: -Application Express – WYSIWIG browse based application development and deployment. -SQL Developer – SQL and PL/SQL development. Database object maintenance. What is interesting is that Big Data NoSQL databases and XML databases are taking us back to the days of VSAM (key value databases) with NoSQL and IMS (hierarchical) with XML databases?

    Read the article

  • Windows Azure Horror Story: The Phantom App that Ate my Data

    - by jasont
    Originally posted on: http://geekswithblogs.net/jasont/archive/2013/10/31/windows-azure-horror-story-the-phantom-app-that-ate-my.aspxI’ve posted in the past about how my company, Stackify, makes some great tools that enhance the Windows Azure experience. By just using the Azure Management Portal, you don’t get a lot of insight into what is happening inside your instances, which are just Windows VMs. This morning, I noticed something quite scary, and fittingly enough, it’s Halloween. I deleted a deployment after doing a new deployment and VIP swap. But, after a few minutes, the instance still appeared in my Stackify dashboard. I thought this odd, as we monitor these operations and remove devices that have been deleted. Digging in showed that it wasn’t a problem with Stackify. This instance was still there, and still sending data. You’ll notice though that the “Status” check shows that the instance no longer exists. And it gets scarier. I quickly checked the running services, and sure enough, the Windows Azure Guest Agent (which runs worker roles) was still running: “Surely, this can’t be” I’m thinking at this point. Knowing that this worker role is in our QA environment, it has debug logging turned on. And, using our log file tailing feature, I can see that, yes, indeed, this deleted deployment is still executing code. Pulling messages off queues. Sending alerts. Changing data. Fortunately, our tools give me the ability to manually disable the Windows service that runs this code. In the meantime, I have contacted everyone I know (and support) at Microsoft to address this issue. Needless to say, this is concerning. When you delete a deployment, it needs to actually delete. Not continue to eat your data. As soon as I learn more, I’ll be posting an update.

    Read the article

  • Simple dependency tree diagram generator

    - by foampile
    I have a need to produce a simple dependency tree diagram. The input data would be in the following simple format: ITEM_NAME DEPENDENCY ---------------------------- ITEM_101 ITEM_75 ITEM_102 ITEM_77 ITEM_102 ITEM_61 ITEM_102 ITEM_11 This means that ITEM_101 depends on ITEM_75 and ITEM_102 depends on items ITEM_77, ITEM_61 and ITEM_11. So the diagram would have items ITEM_77, ITEM_61 and ITEM_11 in one vertical level and ITEM_102 would be below it with a line connecting each of the three dependencies to ITEM_102. The same would be for ITEM_101, ITEM_75 would be somewhere above it and there would be a line connecting it. In the real world this tree represents a hierarchy of scheduling jobs. We have a very extensive workload automation hierarchy in Autosys and I have heard that its front end utility has something like this tree visual representation, however, for some reason, that utility has been disabled by admins. My business users want to see this hierarchy in an easy-to-consume format. I was hoping that I won't have to program something like this from scratch because it seems like quite a common reporting requirement and the input data is simply formatted. My question is: is there a FOSS tool that takes standardized data input and produces such a hierarchical tree? Thanks

    Read the article

  • Select Data From XML in MS SQL Server (T-SQL)

    - by Doug Lampe
    So you have used XML to give you some schema flexibility in your database, but now you need to get some data out.  What do you do?  The solution is relatively  simple:   DECLARE @iDoc INT /* Stores a pointer to the XML document */ DECLARE @XML VARCHAR(MAX) /* Stores the content of the XML */   set @XML = (SELECT top 1 Xml_Column_Name FROM My_Table where Primary_Key_Column = 'Some Value')   EXEC sp_xml_preparedocument @iDoc OUTPUT, @XML   SELECT * FROM OPENXML(@iDoc,'/some/valid/xpath',2)                      WITH (output_column1_name varchar(50)  'xml_node_name1',                                                     output_column2_name varchar(50)  'xml_node_name2')   EXEC sp_xml_removedocument @iDoc   In this example, the XML data would look something like this:   <some>   <valid>     <xpath>       <xml_node_name1>Value1</xml_node_name1>       <xml_node_name2>Value2</cml_node_name2>     </xpath>   </valid> </some>   The resulting query should give you this:   output_column1_name    output_column2_name ------------------------------------------ Value1                 Value2   Note that in this example we are only looking at a single record at a time.  You could use a cursor to iterate through multiple records and insert the XML data into a temporary table.

    Read the article

  • How can I read a portion of one Minecraft world file and write it into another?

    - by RapierMother
    I'm looking to read block data from one Minecraft world and write the data into certain places in another. I have a Minecraft world, let's say "TemplateWorld", and a 2D list of Point objects. I'm developing an application that should use the x and y values of these Points as x and z reference coordinates from which to read constant-sized areas of blocks from the TemplateWorld. It should then write these blocks into another Minecraft world at constant y coordinates, with x & z coordinates determined based on each Point's index in the 2D list. The issue is that, while I've found a decent amount of information online regarding Minecraft world formats, I haven't found what I really need: more of a breakdown by hex address of where/what everything is. For example, I could have the TemplateWorld actually be a .schematic file rather than a world; I just need to be able to read the bytes of the file, know that the actual block data starts always at a certain address (or after a certain instance of FF, etc.), and how it's stored. Once I know that, it's easy as pie to just read the bytes and store them.

    Read the article

  • 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?

    Read the article

  • Advice on reconciling discordant data

    - by Justin
    Let me support my question with a quick scenario. We're writing an app for family meal planning. We'll produce daily plans with a target calorie goal and meals to achieve it for our nuclear family. Our calorie goal will be calculated for each person from their attributes (gender, age, weight, activity level). The weight attribute is the simplest example here. When Dad (the fascist nerd who is inflicting this on his family) first uses the application he throws approximate values into it for Daughter. He thinks she is 5'2" (157 cm) and 125 lbs (56kg). The next day Mom sits down to generate the menu and looks back over what the bumbling Dad did, quietly fumes that he can never recall anything about the family, and says the value is really 118 lbs! This is the first introduction of the discord. It seems, in this scenario, Mom is probably more correct that Dad. Though both are only an approximation of the actual value. The next day the dear Daughter decides to use the program and sees her weight listed. With the vanity only a teenager could muster she changes the weight to 110 lbs. Later that day the Mom returns home from a doctor's visit the Daughter needed and decides that it would be a good idea to update her Daughter's weight in the program. Hooray, another value, this time 117 lbs. Now how do you reconcile these data points? Measurement error, confidence in parties, bias, and more all confound the data. In some idealized world we'd have a weight authority of some nature providing the one and only truth. How about in our world though? And the icing on the cake is that this single data point changes over time. How have you guys solved or managed this conflict?

    Read the article

  • MongoDB: Replicate data in documents vs. “join”

    - by JavierCane
    Disclaimer: This is a question derived from this one. What do you think about the following example of use case? I have a table containing orders. These orders has a lot of related information needed by my current queries (think about the products; the buyer information; the region, country and state of the sale point; and so on) In order to think with a de-normalized approach, I don't have to put identifiers of these related items in my main orders collection. Instead, I have to repeat all the information for each order (ie: I will repeat the buyer's name, surname, etc. for each of its orders). Assuming the previous premise, I'm committing to maintain all the data related to an order without a lot of updates (because if I modify the buyer's name, I'll have to iterate through all orders updating the ones made by the same buyer, and as MongoDB blocks at a document level on updates, I would be blocking the entire order at the update moment). I'll have to replicate all the products' related data? (ie: category, maker and optional attributes like color, size…) What if a new feature is requested and I've to make a lot of queries with the products "as the entry point of the query"? (ie: reports showing the products' sales performance grouping by region, country, or whatever) Is it fair enough to apply the $unwind operation to my orders original collection? (What about the performance?) I should have to do another collection with these queries in mind and replicate again all the products' information (and their orders)? Wouldn't be better to store a product_id in the original orders collection in order to be more tolerable to requirements change? (What about emulating JOINs?) The optimal approach would be a mixed solution with a RDBMS system like MySQL in order to retrieve the complete data? I mean: store products, users, and location identifiers in the orders collection and have queries in MySQL like getAllUsersDataByIds in which I would perform a SELECT * FROM users WHERE user_id IN ( :identifiers_retrieved_from_the_mongodb_query )

    Read the article

  • Storage of leftover values in a situation of having to round down

    - by jt0dd
    I'm writing an app (client and server side) where the number of sales required by each employee must be kept track of in round-number form. Each month, the employees are required to sell a certain number, and this app needs to keep track of how many sales must be made for each 12 hour interval during the work week. Because I have to round the values down to a whole number, I must keep track of leftovers in the rounding process and ensure that they are always carried over. My method must ensure the storage of the leftover value even when client and server side crash, restart, close, etc. Right now, I'm working on doing this by storing the leftovers in a field in the user's account row in the database each time a value is rounded, reading the stored value, removing any portion that is used (when a whole number is reached, most of the leftover is used up), and storing the new value. This practice seems weird because while the leftovers are calculated on the client side, it's the same number for each employee, and every employee using the app is storing a copy of the same leftover data. Alternatively, I could have all clients store the data at once into the same data field on a general table, but this is just as weird. Is there a better way that this can be handled or is my method correct?

    Read the article

  • IDirect3DDevice9::GetRenderTargetData() returns no data

    - by P. Avery
    I've got a simple function to get the rendertarget data of an RT( w/default pool ). This particular RT has a resolution of 1x1( it's the 10'th and final mip of a texture ). Here is my code to get data for IDirect3DSurface9 *pTargetSurface: IDirect3DSurface9 *pSOS = NULL; pd3dDevice->CreateOffScreenPlainSurface( 1, 1, D3DFMT_A8R8G8B8, D3DPOOL_SYSTEMMEM, &pSOS, NULL ); // get residual energy if( FAILED( hr = pd3dDevice->GetRenderTargetData( pTargetSurface, pSOS ) ) ) { DebugStringDX( ClassName, "Failed to IDirect3DDevice9::GetRenderTargetData() at DownsampleArea()", __LINE__, hr ); goto Exit; } // lock surface if( FAILED( hr = pSOS->LockRect( &rct, NULL, D3DLOCK_READONLY ) ) ) { DebugStringDX( ClassName, "Failed to IDirect3DSurface9::LockRect() at DownsampleArea()", __LINE__, hr ); goto Exit; } // get residual energy from downsampled texture pByte = ( BYTE* )rct.pBits; D3DXVECTOR4 vEnergy; vEnergy.z = ( float )pByte[ 0 ] / 255.0f; vEnergy.y = ( float )pByte[ 1 ] / 255.0f; vEnergy.x = ( float )pByte[ 2 ] / 255.0f; vEnergy.w = ( float )pByte[ 3 ] / 255.0f; V( pSOS->UnlockRect() ); All formatting and settings are correct, directx in debug mode shows no errors... The problem is that the 4 bytes above are 0...I know this to be incorrect by using PIX to debug...PIX shows that RGB bytes are 0.078 and Alpah is 1. These values are not less than that which can be represented by a single byte( 1 / 255 ). Any ideas? Am I copying rendertarget data correctly?

    Read the article

  • Choosing the Database Solution for Large Data Application

    - by GµårÐïåñ
    I have been tasked to write an application that will be a combination of document and inventory management in VB.net which will be used to store document images in TIFF, PDF, XPS, TXT, DOC, PPT and so on as binary data that can be retrieved for viewing, printing, and possible OCR to be searchable as well along with meta data such as sender, recipient, type of document, date, source, etc. So the table would probably be something like: DOC_NAME, DOC_DATE, NOTES, ... DOC_BINARY (where the actual document will be put inside) What my concern is finding a database solution that will not become unstable due to size restrictions, records limitations and performance. Some of the options are MS_SQL, SQL Express, SQLite, mySQL, and Access. Now I can pretty much eliminate Access right off the bat as it is just too limiting and not scalable. I can further eliminate SQL Express because of the 2 GB limit and again scalability. So that leaves me with MS_SQL, SQLite and mySQL (although if anyone has other options they think would be good as well, please feel free to share them, by no means am I set on these only). So this brings me to what you guys think is the best option for what I have described. The goal is that the data is all in one place (a single file) that will make backup and portability easier. For small volume usage, pretty much any solution will hold for a while, but my goal is to think ahead and make sure its able to withstand heavy large volume usage as well. Another consideration is also the interoperability with .NET and stability of such code to avoid errors and memory leaks. Your feedback would be greatly appreciated.

    Read the article

< Previous Page | 151 152 153 154 155 156 157 158 159 160 161 162  | Next Page >