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  • How well does knowledge of J2ME generalize to other mobile platforms?

    - by dimatura
    I'm considering taking mobile phone software development course at my university. The course uses J2ME with an emulator. I'm interested in software development for mobile phones, but I get the impression that J2ME is somewhat stale and limited in comparison to the newer platforms like the iPhone and Android. I'm most interested in Android, as I dislike the closed nature of the iPhone. So if I take the course, how well would the skills acquired transfer to a platform like Android? And I have a related question. I'm pretty comfortable with Java (and various other programming languages), but I haven't used J2ME. Is there anything that makes it particularly painful to program with? (Not that Java is that pleasant anyway :))

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  • Can JAXB store the class name in the XML so that the the deserialize code doesn't need knowledge of the class?

    - by Andrew
    It seems the standard approach for deserializing JAXB XML is to specify the package name when creating the context. Then, JAXB looks up the class based on the root element: JAXBContext jc = JAXBContext.newInstance("com.foo"); Unmarshaller u = jc.createUnmarshaller(); Object o = u.unmarshal(new StringReader("...")); I'm looking for a more flexible approach where I don't have to specify the package name and could still deserialize any object. This would be as simple as JAXB storing the package in the XML, but I can't seem to find out how to do this. I can write the code to do it myself but that would be unpleasant. It would like JAXB to do it, if possible. BTW, I am not using schemas, just Annotations and marshal/unmarshal. Any ideas?

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  • What to do to improve my skill and knowledge on javascript??

    - by caramel1991
    Currently I've finish studying the book name "beginning javascript 3rd edition",so i just wonder what should be my next step in order to strengthen myself on using and manipulating this language?Besides,how to improve myself in programming in javascript??Is it by thinking something cool myself,and start coding it??Or googling around the internet to find some task and question offered??Besides,is there any book that teaches the correct method of coding?? Thanks you

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  • Are programming languages and methods ineffective? (assembler and C knowledge needed)

    - by b-gen-jack-o-neill
    Hi, for a long time, I am thinking and studying output of C language compiler in asemlber form, as well as CPU architecture. I know this may be silly to you, but it seems to me that something is very ineffective. Please, don´t be angry if I am wrong, and there is some reason I do not see for all these principles. I will be very glad if you tell me why is it designed this way. I actually trully believe I am wrong, I know the genius minds of people which get PCs together knew a reason to do so. What exactly, do you ask? I´ll tell you right away, I use C as a example: 1, Stack local scope memory allocation: So, typical local memory allocation uses stack. Just copy esp to ebp and than allocate all the memory via ebp. OK, I would understand this if you explicitly need allocate RAM by default stack values, but if I do understand it correctly, modern OS use paging as a translation layer between application and physical RAM, when adress you desire is further translated before reaching actuall RAM byte. So why don´t just say 0x00000000 is int a,0x00000004 is int b and so? And access them just by mov 0x00000000,#10? Becouse you wont actually access memory blocks 0x00000000 and 0x00000004 but those your OS set the paging tables to. Actually, since memory allocation by ebp and esp use indirect adressing, "my" way would be even faster. 2, Variable allocation duplicitly: When you run aaplication, Loader load its code into RAM. When you create variable, or string, compiler generates code that pushes these values on the top o stack when created in main. So there is actuall instruction for do so, and that actuall number in memory. So, there are 2 entries of the same value in RAM. One in fomr of instruction, second in form of actuall bytes in the RAM. But why? Why not to just when declaring variable count at which memory block it would be, than when used, just insert this memory location?

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  • "ODM" - One of the Support team's most valued acronyms

    - by graham.mckendry(at)oracle.com
    If you submit technical service requests (SRs) through the My Oracle Support portal, you may often see the term "ODM" used in updates from our Support team. ODM is an acronym for "Oracle Diagnostic Methodology", which defines a standard problem solving approach that all of Oracle Support uses for every technical SR. ODM provides a number of benefits to the SRs - both for the Support organization and for the customer - including a consistent approach, higher quality, justified solutions, and ultimately faster resolution. Screenshot: Example of an ODM "Issue Clarification" activity in a service request The Oracle Diagnostic Methodology applies to both categories of technical SRs: Consultative (question-answer topics) and Problem-Solution. There are a few KM Notes that describe the steps of ODM, however to keep things simple (and since those KM Notes appear to be a bit outdated), I'll summarize the ODM stages here as follows: Consultative ODM - Three mandatory stages: ODM Question: Clarification of the customer's exact question. ODM Answer: Thorough answer to the customer's question. ODM Knowledge Content: Reference to new or existing knowledge base content, or explanation why the particular SR does not necessarily require knowledge content. Problem-Solution ODM - Eight mandatory stages: ODM Issue Clarification: Clarification of the reported issue, including the symptoms, the steps to reproduce, and an outline of the business impact ODM Issue Verification: Confirmation of the issue being verified based on proof provided by the customer, such as screenshots, log files, or reproducing the issue during an Oracle Web Conference. ODM Cause Determination: Succinct outline of the root cause of the issue. ODM Cause Justification: Explanation as to why the root cause applies to this particular situation. ODM Proposed Solution(s): Succinct outline of the potential solution(s) to resolve the issue. ODM Proposed Solution(s) Justification: Explanation of why the proposed solution(s) will in fact resolve the issue. ODM Solution Action Plan: Detailed numbered instructions on how to execute the proposed solutions. ODM Knowledge Content: Reference to new or existing knowledge base content, or explanation why the particular SR does not necessarily require knowledge content. During these stages, you may see other optional ODM-related activities such as "ODM Data Collection", "ODM Action Plan", "ODM Research", and "ODM Test Case". Again, these structured tags help ensure a uniform methodology across your SRs. With this knowledge you should be able to develop better predictability of what's coming next in your SRs, as well as what you can do to help expedite the resolution process.

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  • Do You Know How OUM defines the four, basic types of business system testing performed on a project? Why not test your knowledge?

    - by user713452
    Testing is perhaps the most important process in the Oracle® Unified Method (OUM). That makes it all the more important for practitioners to have a common understanding of the various types of functional testing referenced in the method, and to use the proper terminology when communicating with each other about testing activities. OUM identifies four basic types of functional testing, which is sometimes referred to as business system testing.  The basic functional testing types referenced by OUM include: Unit Testing Integration Testing System Testing, and  Systems Integration Testing See if you can match the following definitions with the appropriate type above? A.  This type of functional testing is focused on verifying that interfaces/integration between the system being implemented (i.e. System under Discussion (SuD)) and external systems functions as expected. B.     This type of functional testing is performed for custom software components only, is typically performed by the developer of the custom software, and is focused on verifying that the several custom components developed to satisfy a given requirement (e.g. screen, program, report, etc.) interact with one another as designed. C.  This type of functional testing is focused on verifying that the functionality within the system being implemented (i.e. System under Discussion (SuD)), functions as expected.  This includes out-of-the -box functionality delivered with Commercial Off-The-Shelf (COTS) applications, as well as, any custom components developed to address gaps in functionality.  D.  This type of functional testing is performed for custom software components only, is typically performed by the developer of the custom software, and is focused on verifying that the individual custom components developed to satisfy a given requirement  (e.g. screen, program, report, etc.) functions as designed.   Check your answers below: (D) (B) (C) (A) If you matched all of the functional testing types to their definitions correctly, then congratulations!  If not, you can find more information in the Testing Process Overview and Testing Task Overviews in the OUM Method Pack.

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  • What Counts For a DBA – Depth

    - by Louis Davidson
    SQL Server offers very simple interfaces to many of its features. Most people could open up SSMS, connect to a server, write a simple query and see the results. Even several of the core DBA tasks are deceptively straightforward. It doesn’t take a rocket scientist to perform a basic database backup or run a trace (even using the newfangled Extended Events!). However, appearances can be deceptive, and often times it is really important that a DBA understands not just the basics of how to perform a task, but why we do a task, and how that task works. As an analogy, consider a child walking into a darkened room. Most would know that they need to turn on the light, and how to do it, so they flick the switch. But what happens if light fails to shine forth. Most would immediately tell you that you need to consider changing the light bulb. So you hop in the car and take them to the local home store and instruct them to buy a replacement. Confronted with a 40 foot display of light bulbs, how will they decide which of the hundreds of types of bulbs, of different types, fittings, shapes, colors, power and efficiency ratings, is the right choice? Obviously the main lesson the child is going to learn this day is how to use their cell phone as a flashlight so they don’t have to ask for help the next time. Likewise, when the metaphorical toddlers who use your database server have issues, they will instinctively know something is wrong, and may even have some idea what caused it, but will have no depth of knowledge to figure out the right solution. That is where the DBA comes in and attempts to save the day. However, when one looks beneath the shiny UI, SQL Server has its own “40 foot display of light bulbs”, in the form of the tremendous number of tools and the often-bewildering amount of information they can present to the DBA, to help us find issues. Unfortunately, resorting to guesswork, to trying different “bulbs” over and over, hoping to stumble on the answer. This is where the right depth of knowledge goes a long way. If we need to write a SELECT statement, then knowing the syntax and where to find the data is not enough. Knowledge of indexes and query plans is essential. Without it, we might hit on a query that “works”, but we are basically still a user, not a programmer, because we have no real control over our platform. Is that level of knowledge deep enough? Probably not, since knowledge of the underlying metadata and structures would be very useful in helping us make sense of any query plan. Understanding the structure of an index makes the “key lookup” operator not sound like what you do when someone tapes your car key to the ceiling. So is even this level of understanding deep enough? Do we need to understand the memory architecture used to process the query? It might be a comforting level of knowledge, and will doubtless come in handy at some point, but is not strictly necessary in most cases. Beyond that lies (more or less) full knowledge of SQL language and the intricacies of every step the SQL Server engine takes to process our query. My personal theory is that, as a professional, our knowledge of a given task should extend, at a minimum, one level deeper than is strictly necessary to perform the task. Anything deeper can be left to the ridiculously smart, or obsessive, or both. As an example. tasked with storing an integer value between 0 and 99999999, it’s essential that I know that choosing an Integer over Decimal(8,0) will likely offer performance benefits. It is then useful that I also understand the value of adding a CHECK constraint, to make sure the values are valid to the desired range; and comforting that I know a little about the underlying processors, registers and computer math. Anything further, I leave to the likes of Joe Chang, whose recent blog post on the topic offers depth by the bucketful!  

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  • How to get started on working with WebTrends locally using a DEV account access? [on hold]

    - by Knowledge Craving
    I'm a newbie developer on WebTrends Analytics, although I have worked extensively on Adobe SiteCatalyst. Currently I want to integrate WebTrends with the web pages of a local project on my local JBoss EAP application server, so that I can run it locally and see how WebTrends work, along with how the Analytics reports show up. Later on, I may customize the reports data as per the project requirements. However, I can't find anywhere how I can start working on a local development process using a DEV account access. I'm mainly trying to get data on number of user visits per day, as of now, which will cater to multichannel experience. And later on, I will start pulling more data based on targeting and segmentation. Can anyone of you please help and guide me in the right direction? Any help is highly appreciated. Thank you!

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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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  • I'd like to rebuild my web server without web management software; what knowledge, skills, and tools will I require? [closed]

    - by Joe Zeng
    I've been using Webmin for my web server that runs my personal website and a host of other websites for a while now, and I feel like I should be able to manage my web server more directly, because I haven't even touched the Webmin for the past year or so and I feel like maybe it has too much functionality that I have to click through the next time I want to access it or create a new subdomain or database on my site. I want to try something lighter and more wholly manageable, now that I'm more comfortable with using ssh and command-line tools. I've decided that I'm going to try using Django as a framework, but obviously that's only part of the picture. What sort of knowledge will I require?

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  • Upgrading in java web development

    - by Vladimir Ivanov
    I'm a java web developer for nearly 3 years. Always trying to learn more and be better but still I feel that the amount of knowledge is not that good as I want. The knowledge in some places still seems to be non-systematic and don't provide a very strong base to solve the problems as good as I want to do it. The example I have is my senior developer, whose solutions are always more efficient and beautiful. So, the question is rather simple and hard the same time. What is the right way to get my knowlege be more systematic and therefore improve it's quality. I understand that there is no practically good answer for the all java programming, so let's focus on the modern java web or nearly web technologies: JSF 2.0 JPA2 and Hibernate as persistence provider Web services and Java SE as a core. What methodologies or books or learning technics lead to the strong knowledge base within the given knowledge area?

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  • Programming in the United States Airforce - How hard to get a job doing it? [closed]

    - by Holland
    I already know how to program. Been at it for a year; the language I've worked mostly with has been C++, and I'm currently studying x86 assembly programming, with the goal to move towards ARM assembly after I've finished with that. Thus, given my experience and knowledge, I'm curious to know if any "vets" around here have had any excursions in the military doing software/electrical engineering, and how hard it would be to actually get a job doing it - with someone who already has previous experience and knowledge regarding that field, however slight. By definition of "hard", in this context, I suppose I'd be referring to the required knowledge to actually be a "shoe-in" for both low level and high level software/hardware applications. I know hex fairly well, and enough to convert that hex to binary. I also have an ok knowledge of algorithms, such as Binary Search Tree, Linked List, etc. Everything I've learned so far has been self taught for the most part.

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  • Removing Barriers to Create Effective Data Models

    After years of creating and maintaining data models, I have started to notice common barriers that decrease the accuracy and usefulness of models. In my opinion, the main causes of these barriers are the lack of knowledge and communication from within a company. The lack of knowledge in regards to data models or data modeling can take many forms. Company Culture Knowledge Whether documented or undocumented, existing business rules of a company can affect how data is modeled. For example, if a company only allows 1 assigned person per customer to be able to manipulate a customer’s record then then a data model that includes an associated table that joins customers and employee’s would be unneeded because that would allow for the possibility of multiple employees to handle a customer because of the potential for a many to many relationship between Customers and Employees. Technical Knowledge Depending on the data modeler’s proficiency in modeling data they can inadvertently cause issues and/or complications with a design without even noticing. It is important that companies share data modeling responsibilities so that the models are developed from multiple perspectives of a system, company and the original problem.  In addition, the tools that a company selects to create data models can also affect the accuracy of the model if designer are not familiar with the tools or the tools are too complex to use for the designer. Existing System Knowledge In order for a data modeler to model data for an existing system so that new changes can be applied to a system then they need to at least know the basic concepts of a system so that they can work within it. This will promote reusability of data and prevent the chance of duplicating data. Project Knowledge This should be pretty obvious, but it is very hard to create an accurate data model without knowing what data needs to be modeled. I have always found it strange that I have been asked to start modeling data prior to a client formalizing any requirements. Usually when this happens I have to make several iterations to a model, and the client still does not know exactly what they want.  In addition additional issues can arise when certain stakeholders of a project are not consulted prior to the design or after the project is over because it can cause miss understandings and confusion by the end user as well as possibly not solving the original problem for which a project is intended to solve. One common thread between each type of knowledge is that they can all be avoided through the use of good communication. For example, if a modeler is new to a company then they should ask older employees about any business specific rules that may be documented or undocumented that must be applied to projects in general. Furthermore, if a modeler is not really familiar with a specific data modeling software then they need to speak up and ask for help form other employees or their manager. This will not only help the modeler in the project, but also help them in future projects that they do for the company. Additionally, if a project is not clearly defined prior to a data modeler being assigned the modeling project then it is their responsibility to communicate with the other stakeholders to clarify any part of a project that is unclear so that the data model that is created is accurately aligned with a project.

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  • XSIGO Product Training Now Available

    - by Cinzia Mascanzoni
    Xsigo Sales and Pre-Sales training is available via iLearning for partners registered in OPN Server and Storage Systems Knowledge Zones. The recommended online training sessions provide sales training solutions that equip partners with the product knowledge, market knowledge and selling strategies to help achieve their revenue targets. Partners are invited to learn more here: Sales Training: Product Essentials For Sales - Oracle Virtual Networking Pre-Sales Training and Product Essentials For Sales Consultants - Oracle Virtual Networking.

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  • Things You Need in Building Websites

    Web site development is a growing business now-a-days and many of the people from all over the world are going to acquire knowledge in this avenue in order to promote, marketing and earning. Web site development needs certain basic skill and knowledge as well as advance knowledge in order to get high expertise in this field.

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  • Fraud Detection with the SQL Server Suite Part 2

    - by Dejan Sarka
    This is the second part of the fraud detection whitepaper. You can find the first part in my previous blog post about this topic. My Approach to Data Mining Projects It is impossible to evaluate the time and money needed for a complete fraud detection infrastructure in advance. Personally, I do not know the customer’s data in advance. I don’t know whether there is already an existing infrastructure, like a data warehouse, in place, or whether we would need to build one from scratch. Therefore, I always suggest to start with a proof-of-concept (POC) project. A POC takes something between 5 and 10 working days, and involves personnel from the customer’s site – either employees or outsourced consultants. The team should include a subject matter expert (SME) and at least one information technology (IT) expert. The SME must be familiar with both the domain in question as well as the meaning of data at hand, while the IT expert should be familiar with the structure of data, how to access it, and have some programming (preferably Transact-SQL) knowledge. With more than one IT expert the most time consuming work, namely data preparation and overview, can be completed sooner. I assume that the relevant data is already extracted and available at the very beginning of the POC project. If a customer wants to have their people involved in the project directly and requests the transfer of knowledge, the project begins with training. I strongly advise this approach as it offers the establishment of a common background for all people involved, the understanding of how the algorithms work and the understanding of how the results should be interpreted, a way of becoming familiar with the SQL Server suite, and more. Once the data has been extracted, the customer’s SME (i.e. the analyst), and the IT expert assigned to the project will learn how to prepare the data in an efficient manner. Together with me, knowledge and expertise allow us to focus immediately on the most interesting attributes and identify any additional, calculated, ones soon after. By employing our programming knowledge, we can, for example, prepare tens of derived variables, detect outliers, identify the relationships between pairs of input variables, and more, in only two or three days, depending on the quantity and the quality of input data. I favor the customer’s decision of assigning additional personnel to the project. For example, I actually prefer to work with two teams simultaneously. I demonstrate and explain the subject matter by applying techniques directly on the data managed by each team, and then both teams continue to work on the data overview and data preparation under our supervision. I explain to the teams what kind of results we expect, the reasons why they are needed, and how to achieve them. Afterwards we review and explain the results, and continue with new instructions, until we resolve all known problems. Simultaneously with the data preparation the data overview is performed. The logic behind this task is the same – again I show to the teams involved the expected results, how to achieve them and what they mean. This is also done in multiple cycles as is the case with data preparation, because, quite frankly, both tasks are completely interleaved. A specific objective of the data overview is of principal importance – it is represented by a simple star schema and a simple OLAP cube that will first of all simplify data discovery and interpretation of the results, and will also prove useful in the following tasks. The presence of the customer’s SME is the key to resolving possible issues with the actual meaning of the data. We can always replace the IT part of the team with another database developer; however, we cannot conduct this kind of a project without the customer’s SME. After the data preparation and when the data overview is available, we begin the scientific part of the project. I assist the team in developing a variety of models, and in interpreting the results. The results are presented graphically, in an intuitive way. While it is possible to interpret the results on the fly, a much more appropriate alternative is possible if the initial training was also performed, because it allows the customer’s personnel to interpret the results by themselves, with only some guidance from me. The models are evaluated immediately by using several different techniques. One of the techniques includes evaluation over time, where we use an OLAP cube. After evaluating the models, we select the most appropriate model to be deployed for a production test; this allows the team to understand the deployment process. There are many possibilities of deploying data mining models into production; at the POC stage, we select the one that can be completed quickly. Typically, this means that we add the mining model as an additional dimension to an existing DW or OLAP cube, or to the OLAP cube developed during the data overview phase. Finally, we spend some time presenting the results of the POC project to the stakeholders and managers. Even from a POC, the customer will receive lots of benefits, all at the sole risk of spending money and time for a single 5 to 10 day project: The customer learns the basic patterns of frauds and fraud detection The customer learns how to do the entire cycle with their own people, only relying on me for the most complex problems The customer’s analysts learn how to perform much more in-depth analyses than they ever thought possible The customer’s IT experts learn how to perform data extraction and preparation much more efficiently than they did before All of the attendees of this training learn how to use their own creativity to implement further improvements of the process and procedures, even after the solution has been deployed to production The POC output for a smaller company or for a subsidiary of a larger company can actually be considered a finished, production-ready solution It is possible to utilize the results of the POC project at subsidiary level, as a finished POC project for the entire enterprise Typically, the project results in several important “side effects” Improved data quality Improved employee job satisfaction, as they are able to proactively contribute to the central knowledge about fraud patterns in the organization Because eventually more minds get to be involved in the enterprise, the company should expect more and better fraud detection patterns After the POC project is completed as described above, the actual project would not need months of engagement from my side. This is possible due to our preference to transfer the knowledge onto the customer’s employees: typically, the customer will use the results of the POC project for some time, and only engage me again to complete the project, or to ask for additional expertise if the complexity of the problem increases significantly. I usually expect to perform the following tasks: Establish the final infrastructure to measure the efficiency of the deployed models Deploy the models in additional scenarios Through reports By including Data Mining Extensions (DMX) queries in OLTP applications to support real-time early warnings Include data mining models as dimensions in OLAP cubes, if this was not done already during the POC project Create smart ETL applications that divert suspicious data for immediate or later inspection I would also offer to investigate how the outcome could be transferred automatically to the central system; for instance, if the POC project was performed in a subsidiary whereas a central system is available as well Of course, for the actual project, I would repeat the data and model preparation as needed It is virtually impossible to tell in advance how much time the deployment would take, before we decide together with customer what exactly the deployment process should cover. Without considering the deployment part, and with the POC project conducted as suggested above (including the transfer of knowledge), the actual project should still only take additional 5 to 10 days. The approximate timeline for the POC project is, as follows: 1-2 days of training 2-3 days for data preparation and data overview 2 days for creating and evaluating the models 1 day for initial preparation of the continuous learning infrastructure 1 day for presentation of the results and discussion of further actions Quite frequently I receive the following question: are we going to find the best possible model during the POC project, or during the actual project? My answer is always quite simple: I do not know. Maybe, if we would spend just one hour more for data preparation, or create just one more model, we could get better patterns and predictions. However, we simply must stop somewhere, and the best possible way to do this, according to my experience, is to restrict the time spent on the project in advance, after an agreement with the customer. You must also never forget that, because we build the complete learning infrastructure and transfer the knowledge, the customer will be capable of doing further investigations independently and improve the models and predictions over time without the need for a constant engagement with me.

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  • Rules for Naming

    - by PointsToShare
    © 2011 By: Dov Trietsch. All rights reserved Naming Documents (or is it “Document, Naming”?) Tis but thy name that is my enemy; Thou art thyself, though not a Montague. What's Montague? It is nor hand, nor foot, Nor arm, nor face, nor any other part Belonging to a man. O, be some other name! What's in a name? That which we call a rose By any other name would smell as sweet; So Romeo would, were he not Romeo call'd, Retain that dear perfection which he owes Without that title. Romeo, doff thy name And for that name which is no part of thee Take all myself.  Shakespeare – Romeo and Juliet Act II, Scene 2 We normally only use the bold portion of the famous Shakespearean quote above, but it is really out of context. As the play unfolds, we learn that a name is all too powerful. Indeed it is because of their names that the doomed lovers die. There might be life and death in a name (BTW, when I wrote this monogram, I was in Hatfield, PA. Remember the Hatfields and the McCoys?) This is a bit extreme, but in the field of Knowledge Management (KM) names are of the utmost importance as well. When I write an article about managing SharePoint sites, how should I name it? “Managing a site” or “Site, managing”? Nine times out of ten I’d opt for the latter. Almost everything we do is “Managing” so to make life easier for a person looking for meaningful content, we title our articles starting with the differentiator rather than the common factor. As a rule of thumb, we start the name with the noun rather than the verb. It is not what we do that is the primary key; it is what we do it to. So, answer this – is it a “rule of thumb” or a “thumb rule?” This is tough. A lot of what we do when naming is a judgment call. Both thumb and rule are nouns, albeit concrete and abstract (more about this later), but to most people “thumb rule” is meaningless while “rule of thumb” is an idiom. The difference between knowledge and information is that knowledge is meaningful information placed in context. Thus I elect the “rule of thumb”. It is the more meaningful title. Abstract and Concrete are relative terms. Many nouns (and verbs) that are abstract to a commoner, are concrete to a practitioner of one profession or another and may even have different concrete meanings in different professional jargons. Think about “running”. To an executive it means running a business, to a marathoner its meaning is much more literal. Generally speaking, we store and disseminate knowledge within a practice more than we do it in general. Even dictionaries encyclopedias define terms as they apply to different audiences. The rule of thumb is to put the more concrete first, but within the audience’s jargon. Even the title of this monogram is a question. Do I name it “Naming Documents” or “Documents, Naming”? Well, my own rule of thumb (“Here he goes again!?”) states that the latter is better because it starts with a noun, but this is a document about naming more than it about documents. The rules of naming also apply to graphs and charts, excel spreadsheets, and so on. Thus, I vote for the former.  A better title could have been “Naming Objects” only the word “Object” is a bit too abstract. How about just “Naming” or “Naming, rules of”? You get the drift. One of the ways to resolve all of this is to store the documents in Knowledge-Bases, which may become the subjects of a future punditry. Knowledge bases use keywords to describe their content.  Use a Metadata store for the keywords to at least attempt some common grounds. Here is another general rule (rule of thumb?!!) – put at least the one keyword in the title. Use subtitles. Here is an example: Migrating documents – Screening, cleaning, and organizing our knowledge. The main keyword is “documents”, next is “migrating”, other keywords also appear in the subtitle. They are “screening”, “cleaning”, and “organizing”. Any questions? Send me an amply named document by email: [email protected]

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  • Perm SSIS Developer Urgently Required

    - by blakmk
      Job Role To provide dedicated data services support to the company, by designing, creating, maintaining and enhancing database objects, ensuring data quality, consistency and integrity. Migrating data from various sources to central SQL 2008 data warehouse will be the primary function. Migration of data from bespoke legacy database’s to SQL 2008 data warehouse. Understand key business requirements, Liaising with various aspects of the company. Create advanced transformations of data, with focus on data cleansing, redundant data and duplication. Creating complex business rules regarding data services, migration, Integrity and support (Best Practices). Experience ·         Minimum 3 year SSIS experience, in a project or BI Development role and involvement in at least 3 full ETL project life cycles, using the following methodologies and tools o    Excellent knowledge of ETL concepts including data migration & integrity, focusing on SSIS. o    Extensive experience with SQL 2005 products, SQL 2008 desirable. o    Working knowledge of SSRS and its integration with other BI products. o    Extensive knowledge of T-SQL, stored procedures, triggers (Table/Database), views, functions in particular coding and querying. o    Data cleansing and harmonisation. o    Understanding and knowledge of indexes, statistics and table structure. o    SQL Agent – Scheduling jobs, optimisation, multiple jobs, DTS. o    Troubleshoot, diagnose and tune database and physical server performance. o    Knowledge and understanding of locking, blocks, table and index design and SQL configuration. ·         Demonstrable ability to understand and analyse business processes. ·         Experience in creating business rules on best practices for data services. ·         Experience in working with, supporting and troubleshooting MS SQL servers running enterprise applications ·         Proven ability to work well within a team and liaise with other technical support staff such as networking administrators, system administrators and support engineers. ·         Ability to create formal documentation, work procedures, and service level agreements. ·         Ability to communicate technical issues at all levels including to a non technical audience. ·         Good working knowledge of MS Word, Excel, PowerPoint, Visio and Project.   Location Based in Crawley with possibility of some remote working Contact me for more info: http://sqlblogcasts.com/blogs/blakmk/contact.aspx      

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  • WebCenter Customer Spotlight: Guizhou Power Grid Company

    - by me
    Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution SummaryGuizhou Power Grid Company is responsible for power grid planning, construction, management, and power distribution in Guizhou Province, serving 39 million people. Giuzhou has 49,823 employees and an annual revenue of over $5 Billion. The business objectives were to consolidate information contained in disparate systems into a single knowledge repository and provide a safe and efficient way for staff and managers to access, query, share, manage, and store business information. Guizhou Power Grid Company saved more than US$693,000 in storage costs, reduced  average search times from 180 seconds to 5 seconds and solved 80% to 90% of technology and maintenance issues by searching the Oracle WebCenter Content management system. Company OverviewA wholly owned subsidiary of China Southern Power Grid Company Limited, Guizhou Power Grid Company is responsible for power grid planning, construction, management, and power distribution in Guizhou Province, serving 39 million people. Giuzhou has 49,823 employees and an annual revenue of over $5 Billion. Business ChallengesThe business objectives were to consolidate information contained in disparate systems, such as the customer relationship management and power grid management systems, into a single knowledge repository and provide a safe and efficient way for staff and managers to access, query, share, manage, and store business information. Solution DeployedGuizhou Power Grid Company  implemented Oracle WebCenter Content to build a content management system that enabled the secure, integrated management and storage of information, such as documents, records, images, Web content, and digital assets. The content management solution was integrated with the power grid, customer service, maintenance, and other business systems, as well as the corporate Web site. Business Results Saved more than US$693,000 in storage costs and shortened the material distribution time by integrating the knowledge management solution with the power grid, customer service, maintenance, and other business systems, as well as the corporate Web site Enabled staff to search 31,650 documents using catalogs, multidimensional attributes, and knowledge maps, reducing average search times from 180 seconds to 5 seconds and saving approximately 1,539 hours in annual search time Gained comprehensive document management, format transformation, security, and auditing capabilities Enabled users to upload new documents and supervisors to check the accuracy of these documents online, resulting in improved information quality control Solved 80% to 90% of technology and maintenance issues by searching the Oracle content management system for information, ensuring IT staff can respond quickly to users’ technical problems Improved security by using role-based access controls to restrict access to confidential documents and information Supported the efficient classification of corporate knowledge by using Oracle’s metadata functions to collect, tag, and archive documents, images, Web content, and digital assets “We chose Oracle WebCenter Content, as it is an outstanding integrated content management platform. It has allowed us to establish a system to access, query, share, manage, and store our corporate assets. This has laid a solid foundation for Guizhou Power Grid Company to improve management practices.” Luo Sixi, Senior Information Consultant, Guizhou Power Grid Company Additional Information Guizhou Power Grid Company Customer Snapshot Oracle WebCenter Content

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  • SQL Saturday 194 - Exeter

    - by Dave Ballantyne
    Many kudos goes to Jonathan and Annette Allen and the others on the team for confirming SQL Saturday 194 in Exeter on the 8th and 9th of March.  The event home page is here http://www.sqlsaturday.com/194/eventhome.aspx and I delighted that myself and Dave Morrison will be presenting a full day pre-con on the 8th on favourite subjects “TSQL and Internals”. Here is the full abstract : TSQL and internals - When faced with performance issues there are many lines of attack. Tuning the engine itself can get you so far, however for maximum effect you need to understand how the engine and how it translates SQL statements into performable actions. This is not a simple task, it is a massive task to deal with a multi-table join and the number of permutations can be immense. To back up this knowledge, we can create better performing TSQL and understand the impact that is has upon the engine and recognize the pitfalls and gotcha’s that exist in SQLServer. Ultimately, there is no ‘best way’ to perform a single task only many variations of ‘it depends’ , but now we can pick the most appropriate option for the required dataload. Over the years, there have been many myths and misconceptions have grown around the product, some have basis in older versions and some are just wrong. Continuing to build on the knowledge given so far these issue will be explored and broken down and proved or disproved. Finally we will look to the future and explore SQL Server 2012 and the new functionality that that brings and some of the common uses that we will be able to address. After completion of this days pre-con, attendees will have a more complete knowledge of execution plans, and how they relate to the physical and logical actions that SQLServer will be executing on their behalf. The attendees will also have a more rounded and fuller knowledge of TSQL and the implications of incorrectly defining a query. Dave is a fountain of knowledge on execution plans and optimizer internals and ,though i may flatter myself, I’m no shrinking violet when it comes to TSQL and such matters.  I hope that if you cant join us, then there are other pre-cons available from other experts in their fields that may ‘float you boat’ too.  The pre-con page is http://sqlsouthwest.co.uk/SQLSaturday_precon.htm Also, excitingly, this pre-con day is sponsored by Fusion-IO which is a great boon for the day. If you want a more of this then i am offering a 2 day TSQL course starting on the 19th of March. More details on this are available here

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