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  • New Feature in ODI 11.1.1.6: Enterprise Data Quality Integration

    - by Julien Testut
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-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-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Oracle Data Integrator 11.1.1.6.0 introduces a new Open Tool called EnterpriseDataQuality which allows ODI users to invoke an Oracle Enterprise Data Quality Job from a Package. This post will give you an overview of this new feature. Oracle Enterprise Data Quality (OEDQ) provides organizations with an integrated suite of data quality tools that offer an end-to-end solution to measure, improve, and manage the quality of data from any domain, including customer and product data. The addition of the EnterpriseDataQuality Open Tool extends the inline Data Quality capabilities of Oracle Data Integrator with Oracle Enterprise Data Quality powerful data profiling, cleansing, matching, and monitoring capabilities. The EnterpriseDataQuality Open Tool can invoke any OEDQ Job stored in a Project. This Open Tool connects to an OEDQ server using a JMX (Java Management Extensions) interface. Once installed, this Open Tool will be found under Plugins in the Package Toolbox area: This EnterpriseDataQuality Open Tool takes a couple of parameters as inputs such as the Enterprise Data Quality Job and Project names, the OEDQ hostname and JMX port etc. With the EnterpriseDataQuality Open Tool, ODI customers can now incorporate their Oracle Enterprise Data Quality processes within their Data Integration workflows. You will find instructions about how to use the Enterprise Data Quality Open Tool in the Oracle Data Integrator documentation at: Using the EnterpriseDataQuality Open Tool.You can find an overview of all the new features introduced in ODI 11.1.1.6 in the following document: ODI 11.1.1.6 New Features Overview.

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  • photshop: why low quality jpg saved as high quality increases the file size?

    - by Alex Angelico
    i have a low quality background about 85kb. If I open the file in Photoshop and save it, I have to save this image as 100% quality, the file size increases to 640kb. This doesn't make sense, the image si already compressed, the quality cannot be better than the source, so the 100% quality while saving should produce THE SAME FILE OPENED. The problem is, I have this background and want to add a logo image over it, and then save it. But If I do so, i have to save this with 10% quality, and the logo looks horrible. If I save this to 100% quality, the file size is huge... How can I achive this?

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  • The Future of Life Assurance Conference Recap

    - by [email protected]
    I recently wrote about the Life Insurance Conference held in Washington, DC last month. This week I was both an attendee and guest speaker the 13th Annual Future of Life Assurance Conference held at The Guoman Tower in London, UK. It's amazing that these two conferences were held on opposition sides of the Atlantic Ocean and addressed many of the same session topics and themes. Insurance is certainly a global industry! This year's conference was attended by many of the leading carriers and CEOs in the UK and across Europe.The sessions included a strong lineup of keynote speakers and panel discussions from carriers such as Legal & General, Skandia, Aviva, Standard Life, Friends Provident, LV=, Zurich UK, Barclays and Scottish Life. Sessions topics addressed a variety of business and regulatory issues including: Ensuring a profitable future Key priorities in regulation The future of advice The impact of the RDR on distribution Bancassurance Gaining control of the customer relationship Revitalizing product offerings In addition, Oracle speakers (Glenn Lottering and myself) led specific sessions on gearing up for Solvency II and speeding product development through adaptive rules-based systems. The main themes that played throughout many of the sessions included: change is here, focusing on customers, the current economic crisis has been challenging and the industry needs to get back to the basics and simplify - simplify - simplify. Additionally, it is clear that the UK Life & Pension markets will be going through some major changes as new RDR regulation related to advisor fees and commission and automatic enrollment are rolled out in 2012 Roger A.Soppe, CLU, LUTCF, is the Senior Director of Insurance Strategy, Oracle Insurance.

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  • Data Quality Through Data Governance

    Data Quality Governance Data quality is very important to every organization, bad data cost an organization time, money, and resources that could be prevented if the proper governance was put in to place.  Data Governance Program Criteria: Support from Executive Management and all Business Units Data Stewardship Program  Cross Functional Team of Data Stewards Data Governance Committee Quality Structured Data It should go without saying but any successful project in today’s business world must get buy in from executive management and all stakeholders involved with the project. If management does not fully support a project because they see it is in there and the company’s best interest then they will remove/eliminate funding, resources and allocated time to work on the project. In essence they can render a project dead until it is official killed by the business. In addition, buy in from stake holders is also very important because they can cause delays increased spending in time, money and resources because they do not support a project. Data Stewardship programs are administered by a data steward manager who primary focus is to support, train and manage a cross functional data stewards team. A cross functional team of data stewards are pulled from various departments act to ensure that all systems work to ensure that an organization’s goals are achieved. Typically, data stewards are subject matter experts that act as mediators between their respective departments and IT. Data Quality Procedures Data Governance Committees are composed of data stewards, Upper management, IT Leadership and various subject matter experts depending on a company. The primary goal of this committee is to define strategic goals, coordinate activities, set data standards and offer data guidelines for the business. Data Quality Policies In 1997, Claudia Imhoff defined a Data Stewardship’s responsibility as to approve business naming standards, develop consistent data definitions, determine data aliases, develop standard calculations and derivations, document the business rules of the corporation, monitor the quality of the data in the data warehouse, define security requirements, and so forth. She further explains data stewards responsible for creating and enforcing polices on the following but not limited to issues. Resolving Data Integration Issues Determining Data Security Documenting Data Definitions, Calculations, Summarizations, etc. Maintaining/Updating Business Rules Analyzing and Improving Data Quality

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  • Self-Service Testing Cloud Enables Improved Efficiency and Productivity for Development and Quality Assurance Organizations

    - by Sandra Cheevers
    With organizations spending as much as 50 percent of their QA time with non-test related activities like setting up hardware and deploying applications and test tools, the cloud will bring obvious benefits. Oracle announced today self-service testing capabilities to enable you to deploy private or public testing clouds. These capabilities help software development and QA organizations deliver higher quality applications, while enhancing testing efficiency and reducing duration of testing projects. This kind of cloud based self-service testing provides better efficiency and agility. The Testing-as-a-Service solution offers test lab management, automatic deployment of complex multi-tier applications, rich application performance monitoring, test data management and chargeback, all in a unified workflow. For more details, read the press release Oracle Announces Oracle Enterprise Manager 12c Testing-as-a-Service Solution here.

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  • Tips on a tool to measure code quality?

    - by Cristi Diaconescu
    I'm looking for a tool that can provide code quality metrics. For instance it could report very long functions (spaghetti code) very complex classes (which could contain do-it-all code) ... While we're on the (subjective:-) subject of code quality, what other code metrics would you suggest? I'm targetting C#/.NET code, but I'm sure this could extend to most programming languages.

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  • What quality standards to consider for software development process?

    - by Ron-Damon
    Hi, i'm looking for metrics/standards/normatives to evaluate a given "Software Development Process". I'm NOT looking to evaluate the SOFTWARE itself (trough SQUARE and such), i'm trying to evaluate software development PROCESS. So, my question is if you could give me some pointers to find this standard, considering that "evaluation objetives" would be documentation quality, how good is the customer relation, how efective is the process, etc. Very much like a ISO 9000, and like CMMI on a sense, but much lightweight and concrete and process oriented, not company oriented. Please help, i'm trying to stablish the advantages of our development process as formal as i can.

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  • How do I deal with code of bad quality contributed by a third party?

    - by lindelof
    I've recently been promoted into managing one of our most important projects. Most of the code in this project has been written by a partner of ours, not by ourselves. The code in question is of very questionable quality. Code duplication, global variables, 6-page long functions, hungarian notation, you name it. And it's in C. I want to do something about this problem, but I have very little leverage on our partner, especially since the code, for all its problems, "just works, doesn't it?". To make things worse, we're now nearing the end of this project and must ship soon. Our partner has committed a certain number of person-hours to this project and will not put in more hours. I would very much appreciate any advice or pointers you could give me on how to deal with this situation.

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  • Putting a dollar value on code quality

    - by Chris Nelson
    As noted in another thread, "In most businesses, code quality is defined in dollars." So my company has an opportunity to acquire a large-ish C code base. Obviously, if the code quality is good, the code base is worth more than if it's poor. That is, if we can readily read, understand, and update the code, it's worth more to us than if it's a spaghetti-coded mess. Without being able to see the code ahead of time, we'd like to set some objective measure as an acceptance criteria like "If the XXX measure is below the price will be discounted YY%." What criteria can we or should we measure and what tool can we use to measure it?

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  • Focus on Oracle Data Profiling and Data Quality 11g - 24/Fev/11

    - by Claudia Costa
    Thursday 24th February, 11am GMTOracle offers an integrated suite Data Quality software architected to discover and correct today's data quality problems and establish a platform prepared for tomorrow's yet unknown data challenges.Oracle Data Profiling provides data investigation, discovery, and profiling in support of quality, migration, integration, stewardship, and governance initiatives. It includes a broad range of features that expand upon basic profiling, including automated monitoring, business-rule validation, and trend analysis.Oracle Data Quality for Data Integrator provides cleansing, standardization, matching, address validation, location enrichment, and linking functions for global customer data and operational business data.It ensures that data adheres to established standards that are adaptable to fit each organization's specific needs. Both single - and double - byte data are processed in local languages to provide a unique and centralized view of customers, products and services.  During this in-person briefing, Data Integration Solution Specialists will be providing a technical overview and a walkthrough.Agenda Oracle Data Integration Strategy overview A focus on Oracle Data Profiling and Oracle Data Quality for Data Integrator: Oracle Data Profiling Oracle Data Quality for Data Integrator Live demo Q&A  This FREE online LIVE eSeminar will be delivered over the Web and Conference Call. Registrations received less than 24hours prior to start time may not receive confirmation to attend.To register click here.For any questions please contact [email protected]

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  • How to convince my boss that quality is a good thing to have in code?

    - by Kristof Claes
    My boss came to me today to ask me if we could implement a certain feature in 1.5 days. I had a look at it and told him that 2 to 3 days would be more realistic. He then asked me: "And what if we do it quick and dirty?" I asked him to explain what he meant with "quick and dirty". It turns out, he wants us to write code as quickly as humanly possible by (for example) copying bits and pieces from other projects, putting all code in the code-behind of the WebForms pages, stop caring about DRY and SOLID and assuming that the code and functionalities will never ever have to be modified or changed. What's even worse, he doesn't want us do it for just this one feature, but for all the code we write. We can make more profit when we do things quick and dirty. Clients don't want to pay for you taking into account that something might change in the future. The profits for us are in delivering code as quick as possible. As long as the application does what it needs to do, the quality of the code doesn't matter. They never see the code. I have tried to convince him that this is a bad way to think as the manager of a software company, but he just wouldn't listen to my arguments: Developer motivation: I explained that it is hard to keep developers motivated when they are constantly under pressure of unrealistic deadlines and budget to write sloppy code very quickly. Readability: When a project gets passed on to another developer, cleaner and better structured code will be easier to read and understand. Maintainability: It is easier, safer and less time consuming to adapt, extend or change well written code. Testability: It is usually easier to test and find bugs in clean code. My co-workers are as baffled as I am by my boss' standpoint, but we can't seem to get to him. He keeps on saying that by making things more quickly, we can sell more projects, ask a lower price for them while still making a bigger profit. And in the end these projects pay the developer's salaries. What more can I say to make him see he is wrong? I want to buy him copies of Peopleware and The Mythical Man-Month, but I have a feeling they won't change his mind either. A lot of you will probably say something like "Run! Get out of there now!" or "I'd quit!", but that's not really an option since .NET web development jobs are rather rare in the region where I live...

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  • How can QA prevent defects?

    - by user970696
    Also according to Software Testing By Srinisvasan Desikan, Gopalaswamy Ramesh or ISTQB text books. Quality assurance is e.g. reviewing products, inspections, walkthroughs to see if all standards are being followed. This is preventive activity. I cannot see how this can be preventive? For the references: defect prevention (Quality Assurance) Software Testing By Srinisvasan Desikan, Gopalaswamy Ramesh Quality Assurance (QA) tries to go one step further. Instead of concentrating on post- facto defect detection and correction, it focusses on the prevention of defects from the very start. Managing Global Software Projects - Page 110 QA deals with prevention of defects in the product being developed. Software Testing and Quality Assurance

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  • SQL SERVER – Advanced Data Quality Services with Melissa Data – Azure Data Market

    - by pinaldave
    There has been much fanfare over the new SQL Server 2012, and especially around its new companion product Data Quality Services (DQS). Among the many new features is the addition of this integrated knowledge-driven product that enables data stewards everywhere to profile, match, and cleanse data. In addition to the homegrown rules that data stewards can design and implement, there are also connectors to third party providers that are hosted in the Azure Datamarket marketplace.  In this review, I leverage SQL Server 2012 Data Quality Services, and proceed to subscribe to a third party data cleansing product through the Datamarket to showcase this unique capability. Crucial Questions For the purposes of the review, I used a database I had in an Excel spreadsheet with name and address information. Upon a cursory inspection, there are miscellaneous problems with these records; some addresses are missing ZIP codes, others missing a city, and some records are slightly misspelled or have unparsed suites. With DQS, I can easily add a knowledge base to help standardize my values, such as for state abbreviations. But how do I know that my address is correct? And if my address is not correct, what should it be corrected to? The answer lies in a third party knowledge base by the acknowledged USPS certified address accuracy experts at Melissa Data. Reference Data Services Within DQS there is a handy feature to actually add reference data from many different third-party Reference Data Services (RDS) vendors. DQS simplifies the processes of cleansing, standardizing, and enriching data through custom rules and through service providers from the Azure Datamarket. A quick jump over to the Datamarket site shows me that there are a handful of providers that offer data directly through Data Quality Services. Upon subscribing to these services, one can attach a DQS domain or composite domain (fields in a record) to a reference data service provider, and begin using it to cleanse, standardize, and enrich that data. Besides what I am looking for (address correction and enrichment), it is possible to subscribe to a host of other services including geocoding, IP address reference, phone checking and enrichment, as well as name parsing, standardization, and genderization.  These capabilities extend the data quality that DQS has natively by quite a bit. For my current address correction review, I needed to first sign up to a reference data provider on the Azure Data Market site. For this example, I used Melissa Data’s Address Check Service. They offer free one-month trials, so if you wish to follow along, or need to add address quality to your own data, I encourage you to sign up with them. Once I subscribed to the desired Reference Data Provider, I navigated my browser to the Account Keys within My Account to view the generated account key, which I then inserted into the DQS Client – Configuration under the Administration area. Step by Step to Guide That was all it took to hook in the subscribed provider -Melissa Data- directly to my DQS Client. The next step was for me to attach and map in my Reference Data from the newly acquired reference data provider, to a domain in my knowledge base. On the DQS Client home screen, I selected “New Knowledge Base” under Knowledge Base Management on the left-hand side of the home screen. Under New Knowledge Base, I typed a Name and description of my new knowledge base, then proceeded to the Domain Management screen. Here I established a series of domains (fields) and then linked them all together as a composite domain (record set). Using the Create Domain button, I created the following domains according to the fields in my incoming data: Name Address Suite City State Zip I added a Suite column in my domain because Melissa Data has the ability to return missing Suites based on last name or company. And that’s a great benefit of using these third party providers, as they have data that the data steward would not normally have access to. The bottom line is, with these third party data providers, I can actually improve my data. Next, I created a composite domain (fulladdress) and added the (field) domains into the composite domain. This essentially groups our address fields together in a record to facilitate the full address cleansing they perform. I then selected my newly created composite domain and under the Reference Data tab, added my third party reference data provider –Melissa Data’s Address Check- and mapped in each domain that I had to the provider’s Schema. Now that my composite domain has been married to the Reference Data service, I can take the newly published knowledge base and create a project to cleanse and enrich my data. My next task was to create a new Data Quality project, mapping in my data source and matching it to the appropriate domain column, and then kick off the verification process. It took just a few minutes with some progress indicators indicating that it was working. When the process concluded, there was a helpful set of tabs that place the response records into categories: suggested; new; invalid; corrected (automatically); and correct. Accepting the suggestions provided by  Melissa Data allowed me to clean up all the records and flag the invalid ones. It is very apparent that DQS makes address data quality simplistic for any IT professional. Final Note As I have shown, DQS makes data quality very easy. Within minutes I was able to set up a data cleansing and enrichment routine within my data quality project, and ensure that my address data was clean, verified, and standardized against real reference data. As reviewed here, it’s easy to see how both SQL Server 2012 and DQS work to take what used to require a highly skilled developer, and empower an average business or database person to consume external services and clean data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Utility, T SQL, Technology Tagged: DQS

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  • Automating HP Quality Center with Python or Java

    - by Hari
    Hi, We have a project that uses HP Quality Center and one of the regular issues we face is people not updating comments on the defect. So I was thinkingif we could come up with a small script or tool that could be used to periodically throw up a reminder and force the user to update the comments. I came across the Open Test Architecture API and was wondering if there are any good Python or java examples for the same that I could see. Thanks Hari

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  • how to Improve DrawDIB's quality?

    - by sxingfeng
    I am coding in c++, gdi I use stretchDIBits to draw Images to dc. ::SetStretchBltMode(hDC, HALFTONE); ::StretchDIBits( hDC, des.left,des.top,des.right - des.left,des.bottom - des.top, 0, 0, img.getWidth(), img.getHeight(), (img.accessPixels()), (img.getInfo()), DIB_RGB_COLORS, SRCCOPY ); However It is slow. So I changed to use DrawDib function. ::SetStretchBltMode(hDC, HALFTONE); DrawDibDraw( hdd, hDC, des.left,des.top,des.right - des.left,des.bottom - des.top, (LPBITMAPINFOHEADER)(img.getInfo()), (img.accessPixels()), 0, 0, img.getWidth(), img.getHeight(), DDF_HALFTONE ); However the result is just like draw by COLORONCOLOR Mode. How can I improve the drawing quality?

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  • High quality software examples

    - by Francisco Garcia
    One of the best ways to learn about programming is reading high quality code/projects from great engineers. Which open-source projects do you think is worth looking at? I mean, that code that you can print and sit under a tree with a glass of wine and enjoy reading. If you can, also specify if the software is great to look at because its documentation, design, UML diagrams or just plain code. I believe UML is not very common within open-source projects. Is there such a thing as a project branch that polishes code and design with the sole objective to give other programmers a great example of great software?

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  • Oracle Enterprise Data Quality: Ever Integration-ready

    - by Mala Narasimharajan
    It is closing in on a year now since Oracle’s acquisition of Datanomic, and the addition of Oracle Enterprise Data Quality (EDQ) to the Oracle software family. The big move has caused some big shifts in emphasis and some very encouraging excitement from the field.  To give an illustration, combined with a shameless promotion of how EDQ can help to give quick insights into your data, I did a quick Phrase Profile of the subject field of emails to the Global EDQ mailing list since it was set up last September. The results revealed a very clear theme:   Integration, Integration, Integration! As well as the important Siebel and Oracle Data Integrator (ODI) integrations, we have been asked about integration with a huge variety of Oracle applications, including EBS, Peoplesoft, CRM on Demand, Fusion, DRM, Endeca, RightNow, and more - and we have not stood still! While it would not have been possible to develop specific pre-integrations with all of the above within a year, we have developed a package of feature-rich out-of-the-box web services and batch processes that can be plugged into any application or middleware technology with ease. And with Siebel, they work out of the box. Oracle Enterprise Data Quality version 9.0.4 includes the Customer Data Services (CDS) pack – a ready set of standard processes with standard interfaces, to provide integrated: Address verification and cleansing  Individual matching Organization matching The services can are suitable for either Batch or Real-Time processing, and are enabled for international data, with simple configuration options driving the set of locale-specific dictionaries that are used. For example, large dictionaries are provided to support international name transcription and variant matching, including highly specialized handling for Arabic, Japanese, Chinese and Korean data. In total across all locales, CDS includes well over a million dictionary entries.   Excerpt from EDQ’s CDS Individual Name Standardization Dictionary CDS has been developed to replace the OEM of Informatica Identity Resolution (IIR) for attached Data Quality on the Oracle price list, but does this in a way that creates a ‘best of both worlds’ situation for customers, who can harness not only the out-of-the-box functionality of pre-packaged matching and standardization services, but also the flexibility of OEDQ if they want to customize the interfaces or the process logic, without having to learn more than one product. From a competitive point of view, we believe this stands us in good stead against our key competitors, including Informatica, who have separate ‘Identity Resolution’ and general DQ products, and IBM, who provide limited out-of-the-box capabilities (with a steep learning curve) in both their QualityStage data quality and Initiate matching products. Here is a brief guide to the main services provided in the pack: Address Verification and Standardization EDQ’s CDS Address Cleaning Process The Address Verification and Standardization service uses EDQ Address Verification (an OEM of Loqate software) to verify and clean addresses in either real-time or batch. The Address Verification processor is wrapped in an EDQ process – this adds significant capabilities over calling the underlying Address Verification API directly, specifically: Country-specific thresholds to determine when to accept the verification result (and therefore to change the input address) based on the confidence level of the API Optimization of address verification by pre-standardizing data where required Formatting of output addresses into the input address fields normally used by applications Adding descriptions of the address verification and geocoding return codes The process can then be used to provide real-time and batch address cleansing in any application; such as a simple web page calling address cleaning and geocoding as part of a check on individual data.     Duplicate Prevention Unlike Informatica Identity Resolution (IIR), EDQ uses stateless services for duplicate prevention to avoid issues caused by complex replication and synchronization of large volume customer data. When a record is added or updated in an application, the EDQ Cluster Key Generation service is called, and returns a number of key values. These are used to select other records (‘candidates’) that may match in the application data (which has been pre-seeded with keys using the same service). The ‘driving record’ (the new or updated record) is then presented along with all selected candidates to the EDQ Matching Service, which decides which of the candidates are a good match with the driving record, and scores them according to the strength of match. In this model, complex multi-locale EDQ techniques can be used to generate the keys and ensure that the right balance between performance and matching effectiveness is maintained, while ensuring that the application retains control of data integrity and transactional commits. The process is explained below: EDQ Duplicate Prevention Architecture Note that where the integration is with a hub, there may be an additional call to the Cluster Key Generation service if the master record has changed due to merges with other records (and therefore needs to have new key values generated before commit). Batch Matching In order to allow customers to use different match rules in batch to real-time, separate matching templates are provided for batch matching. For example, some customers want to minimize intervention in key user flows (such as adding new customers) in front end applications, but to conduct a more exhaustive match on a regular basis in the back office. The batch matching jobs are also used when migrating data between systems, and in this case normally a more precise (and automated) type of matching is required, in order to minimize the review work performed by Data Stewards.  In batch matching, data is captured into EDQ using its standard interfaces, and records are standardized, clustered and matched in an EDQ job before matches are written out. As with all EDQ jobs, batch matching may be called from Oracle Data Integrator (ODI) if required. When working with Siebel CRM (or master data in Siebel UCM), Siebel’s Data Quality Manager is used to instigate batch jobs, and a shared staging database is used to write records for matching and to consume match results. The CDS batch matching processes automatically adjust to Siebel’s ‘Full Match’ (match all records against each other) and ‘Incremental Match’ (match a subset of records against all of their selected candidates) modes. The Future The Customer Data Services Pack is an important part of the Oracle strategy for EDQ, offering a clear path to making Data Quality Assurance an integral part of enterprise applications, and providing a strong value proposition for adopting EDQ. We are planning various additions and improvements, including: An out-of-the-box Data Quality Dashboard Even more comprehensive international data handling Address search (suggesting multiple results) Integrated address matching The EDQ Customer Data Services Pack is part of the Enterprise Data Quality Media Pack, available for download at http://www.oracle.com/technetwork/middleware/oedq/downloads/index.html.

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  • Oracle Enterprise Data Quality: A Leader in Customer Satisfaction

    - by Mala Narasimharajan
    It’s always good to hear feedback from practitioners – the ones who are in the trenches who have experienced both the good and the bad sides of enterprise software. Gartner recently released a report which surveyed 260 data quality professionals from around the world and found that most expressed considerable satisfaction as a whole from their data quality tool vendors. However, a couple of key findings stand out which include, Datanomic (acquired by Oracle), leading the pack in terms of overall customer satisfaction among data quality tools. Read all about it right here http://bit.ly/Ay45SG

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  • Partner Webcast - Focus on Oracle Data Profiling and Data Quality 11g

    - by lukasz.romaszewski(at)oracle.com
    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:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:RO;} Partner Webcast Focus on Oracle Data Profiling and Data Quality 11g February 24th, 12am  CET   Oracle offers an integrated suite Data Quality software architected to discover and correct today's data quality problems and establish a platform prepared for tomorrow's yet unknown data challenges. Oracle Data Profiling provides data investigation, discovery, and profiling in support of quality, migration, integration, stewardship, and governance initiatives. It includes a broad range of features that expand upon basic profiling, including automated monitoring, business-rule validation, and trend analysis. Oracle Data Quality for Data Integrator provides cleansing, standardization, matching, address validation, location enrichment, and linking functions for global customer data and operational business data. It ensures that data adheres to established standards that are adaptable to fit each organization's specific needs.  Both single - and double - byte data are processed in local languages to provide a unique and centralized view of customers, products and services.   During this in-person briefing, Data Integration Solution Specialists will be providing a technical overview and a walkthrough.   Agenda ·         Oracle Data Integration Strategy overview ·         A focus on Oracle Data Profiling and Oracle Data Quality for Data Integrator: o   Oracle Data Profiling o   Oracle Data Quality for Data Integrator o   Live demoo   Q&A Delivery Format  This FREE online LIVE eSeminar will be delivered over the Web and Conference Call. Registrations   received less than 24hours  prior to start time may not receive confirmation to attend. To register , click here. For any questions please contact [email protected]

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  • How can I have better sound quality?

    - by joelalmeidaptg
    I have been using Ubuntu for years now, and the latest Ubuntu 13.10 is working perfectly on my N56VZ. The image quality is awesome, better than on Windows, but there is one thing that is really bugging me and that kills my "cinema" experience... The sound. Ubuntu sound quality isn't nearly as good as it does on Windows using Realtek (with Powerful on the equalizer). On Ubuntu the sound is like "faded", it isn't as clear as on Windows. This happens on the system overall: VLC, Youtube, Rhythmbox... I think it is pulse itself that has a horrible sound quality. So, does anyone knows a solution for this? How can I have better sound quality on Ubuntu?

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  • How to cut the line between quality and time?

    - by m3th0dman
    On one hand, I have been taught by various software engineering books ([1] as example) that my job as a programmer is to make the best possible software: great design, flexibility, to be easily maintained etc. One the other hand although I realize that I actually write software for money and not for entertainment, although is very nice to write good code and plan ahead and refactor after writing and ... I wonder if it is always best for the business (after all we should be responsible). Is the business always benefiting from a best code? Maybe I'm over-engineering something, and it's not always useful? So how should I know when to stop in the process to achieving the best possible code? I am sure that experience is something that makes a difference here, but I believe this cannot be the only answer. [1] Uncle Bob's in Clean Code says at page 6 about the fact that: They [managers] may defend the schedule and requirements with passion; but that’s their job. It’s your job to defend the code with equal passion.

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  • Oracle Enterprise Data Quality: A Leader in Customer Satisfaction

    - by Mala Narasimharajan
     It’s always good to hear feedback from practitioners – the ones who are in the trenches who have experienced both the good and the bad sides of enterprise software.   Gartner recently released a report which surveyed 260 data quality professionals from around the world and found that most expressed considerable satisfaction as a whole from their data quality tool vendors.  However, a couple of key findings stand out which include, Datanomic (acquired by Oracle), leading the pack in terms of overall customer satisfaction among data quality tools.  Read all about it right here http://bit.ly/Ay45SG

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  • How to Build Quality Back Links For Your Site

    Search engine optimization, known as SEO, relies on high quality back links In this regard; one should always know that their sites will rank higher in the search engines if they have quality back links, which is to say that one will receive organic traffic to their site from those who may be searching for what you're offering. To help you get quality back links, the following tips can help you.

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