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• Windows Azure Recipe: Big Data

  - by Clint Edmonson

  As the name implies, what we’re talking about here is the explosion of electronic data that comes from huge volumes of transactions, devices, and sensors being captured by businesses today. This data often comes in unstructured formats and/or too fast for us to effectively process in real time. Collectively, we call these the 4 big data V’s: Volume, Velocity, Variety, and Variability. These qualities make this type of data best managed by NoSQL systems like Hadoop, rather than by conventional Relational Database Management System (RDBMS). We know that there are patterns hidden inside this data that might provide competitive insight into market trends.  The key is knowing when and how to leverage these “No SQL” tools combined with traditional business such as SQL-based relational databases and warehouses and other business intelligence tools. Drivers Petabyte scale data collection and storage Business intelligence and insight Solution The sketch below shows one of many big data solutions using Hadoop’s unique highly scalable storage and parallel processing capabilities combined with Microsoft Office’s Business Intelligence Components to access the data in the cluster. Ingredients Hadoop – this big data industry heavyweight provides both large scale data storage infrastructure and a highly parallelized map-reduce processing engine to crunch through the data efficiently. Here are the key pieces of the environment: Pig - a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. Mahout - a machine learning library with algorithms for clustering, classification and batch based collaborative filtering that are implemented on top of Apache Hadoop using the map/reduce paradigm. Hive - data warehouse software built on top of Apache Hadoop that facilitates querying and managing large datasets residing in distributed storage. Directly accessible to Microsoft Office and other consumers via add-ins and the Hive ODBC data driver. Pegasus - a Peta-scale graph mining system that runs in parallel, distributed manner on top of Hadoop and that provides algorithms for important graph mining tasks such as Degree, PageRank, Random Walk with Restart (RWR), Radius, and Connected Components. Sqoop - a tool designed for efficiently transferring bulk data between Apache Hadoop and structured data stores such as relational databases. Flume - a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large log data amounts to HDFS. Database – directly accessible to Hadoop via the Sqoop based Microsoft SQL Server Connector for Apache Hadoop, data can be efficiently transferred to traditional relational data stores for replication, reporting, or other needs. Reporting – provides easily consumable reporting when combined with a database being fed from the Hadoop environment. Training These links point to online Windows Azure training labs where you can learn more about the individual ingredients described above. Hadoop Learning Resources (20+ tutorials and labs) Huge collection of resources for learning about all aspects of Apache Hadoop-based development on Windows Azure and the Hadoop and Windows Azure Ecosystems SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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• SQL SERVER – Fix: Error: 10920 Cannot drop user-defined function. It is being used as a resource governor classifier

  - by pinaldave

  If you have not read my SQL SERVER – Simple Example to Configure Resource Governor – Introduction to Resource Governor yesterday’s detailed primer on Resource Governor, I suggest you go ahead and read it before continuing this article. After reading the article the very first email I received was as follows: “Pinal, I configured resource governor on my development server and it worked fine with tests I ran. After doing some tests, I decided to remove the resource governor and as a first step I disabled it however, I was not able to drop the classification function during the process of the clean up. It was continuously giving me following error. Msg 10920, Level 16, State 1, Line 1 Cannot drop user-defined function myudfname. It is being used as a resource governor classifier. Would you please give me solution?” The original email was really this short and there is no other information. I am glad he has done experiments on development server and not on the production server. Production server must not be the playground of the experiments. I think I have covered the answer of this error in an earlier blog post. If the user disables the Resource Governor it is still not possible to drop the function because it can be enabled again and when enabled it can still use the same function. Here is the simple resolution of the how one can drop the classifier function (do this only if you are not going to use the function). The reason the classifier function can’t be dropped because it is associated with resource governor. Create a new classified function for your resource governor or just assign NULL as described in the following T-SQL Script and you will be able to drop the function without error. ALTER RESOURCE GOVERNOR WITH (CLASSIFIER_FUNCTION = NULL) GO ALTER RESOURCE GOVERNOR DISABLE GO DROP FUNCTION dbo.UDFClassifier GO I am glad that user asked me question instead of doing something radically different, which can leave the server in the unusable state. I am aware of this only method to avoid this error. Is there any better way to achieve the same? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Error Messages, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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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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• What ever happened to the Defense Software Reuse System (DSRS)?

  - by emddudley

  I've been reading some papers from the early 90s about a US Department of Defense software reuse initiative called the Defense Software Reuse System (DSRS). The most recent mention of it I could find was in a paper from 2000 - A Survey of Software Reuse Repositories Defense Software Repository System (DSRS) The DSRS is an automated repository for storing and retrieving Reusable Software Assets (RSAs) [14]. The DSRS software now manages inventories of reusable assets at seven software reuse support centers (SRSCs). The DSRS serves as a central collection point for quality RSAs, and facilitates software reuse by offering developers the opportunity to match their requirements with existing software products. DSRS accounts are available for Government employees and contractor personnel currently supporting Government projects... ...The DoD software community is trying to change its software engineering model from its current software cycle to a process-driven, domain-specific, architecture-based, repository-assisted way of constructing software [15]. In this changing environment, the DSRS has the highest potential to become the DoD standard reuse repository because it is the only existing deployed, operational repository with multiple interoperable locations across DoD. Seven DSRS locations support nearly 1,000 users and list nearly 9,000 reusable assets. The DISA DSRS alone lists 3,880 reusable assets and has 400 user accounts... The far-term strategy of the DSRS is to support a virtual repository. These interconnected repositories will provide the ability to locate and share reusable components across domains and among the services. An effective and evolving DSRS is a central requirement to the success of the DoD software reuse initiative. Evolving DoD repository requirements demand that DISA continue to have an operational DSRS site to support testing in an actual repository operation and to support DoD users. The classification process for the DSRS is a basic technology for providing customer support [16]. This process is the first step in making reusable assets available for implementing the functional and technical migration strategies. ... [14] DSRS - Defense Technology for Adaptable, Reliable Systems URL: http://ssed1.ims.disa.mil/srp/dsrspage.html [15] STARS - Software Technology for Adaptable, Reliable Systems URL: http://www.stars.ballston.paramax.com/index.html [16] D. E. Perry and S. S. Popovitch, “Inquire: Predicate-based use and reuse,'' in Proceedings of the 8th Knowledge-Based Software Engineering Conference, pp. 144-151, September 1993. ... Is DSRS dead, and were there any post-mortem reports on it? Are there other more-recent US government initiatives or reports on software reuse?

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• Does this exist: a standardized way of documenting a file-system structure

  - by eegg

  At work, I'm in charge of maintaining the organization of a whole lot of varied data on a standard file-system. Part of this is coming up with sensible classification (by similarity, need, read/write access, etc), but the bigger part is actually documenting it: what documents/files/media should go where, what should not be in this directory, "for something slightly different, see ../../other-dir", etc. At the moment, I've documented this using a plaintext file filing.txt in every directory I want to document. If someone is unsure what's meant to be in any directory, they read that file. This works alright, but it seems odd that I have this primitive custom solution to a problem that any maintainer of a non-trivial directory structure must experience. Every company I've known of, for example, has some kind of shared file-system where agreed terminology for categorization is important. In my experience, people just have to learn what's what by trial-and-error and experimentation. So allow me to propose a better solution, and hopefully you can tell me if it exists. Any directory on any filesystem can have a hidden plaintext file named .filing. Its contents are descriptive human language. It uses some markup like Markdown, with little more than bold, italic, and (relative) hyperlinks to other directories. Now a suitably-enabled file browser will check for a file named .filing whenever it displays a directory. If it exists, its contents are parsed and displayed in an unobtrusive pane near the directory-path widget. Any links therein can be clicked, and the user will be taken to the target directory of that link. I think that the effort of implementing such a standard would pay back many times over in usability gains. We would have, say, plugins for Nautilus, Konqueror, etc.. It could be used to display directory information in the standard file lists served by webservers. And so on. So, question: does such a thing exist? If not, why not? Do people think it's a worthwhile idea?

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• To sample or not to sample...

  - by [email protected]

  Ideally, we would know the exact answer to every question. How many people support presidential candidate A vs. B? How many people suffer from H1N1 in a given state? Does this batch of manufactured widgets have any defective parts? Knowing exact answers is expensive in terms of time and money and, in most cases, is impractical if not impossible. Consider asking every person in a region for their candidate preference, testing every person with flu symptoms for H1N1 (assuming every person reported when they had flu symptoms), or destructively testing widgets to determine if they are "good" (leaving no product to sell). Knowing exact answers, fortunately, isn't necessary or even useful in many situations. Understanding the direction of a trend or statistically significant results may be sufficient to answer the underlying question: who is likely to win the election, have we likely reached a critical threshold for flu, or is this batch of widgets good enough to ship? Statistics help us to answer these questions with a certain degree of confidence. This focuses on how we collect data. In data mining, we focus on the use of data, that is data that has already been collected. In some cases, we may have all the data (all purchases made by all customers), in others the data may have been collected using sampling (voters, their demographics and candidate choice). Building data mining models on all of your data can be expensive in terms of time and hardware resources. Consider a company with 40 million customers. Do we need to mine all 40 million customers to get useful data mining models? The quality of models built on all data may be no better than models built on a relatively small sample. Determining how much is a reasonable amount of data involves experimentation. When starting the model building process on large datasets, it is often more efficient to begin with a small sample, perhaps 1000 - 10,000 cases (records) depending on the algorithm, source data, and hardware. This allows you to see quickly what issues might arise with choice of algorithm, algorithm settings, data quality, and need for further data preparation. Instead of waiting for a model on a large dataset to build only to find that the results don't meet expectations, once you are satisfied with the results on the initial sample, you can  take a larger sample to see if model quality improves, and to get a sense of how the algorithm scales to the particular dataset. If model accuracy or quality continues to improve, consider increasing the sample size. Sampling in data mining is also used to produce a held-aside or test dataset for assessing classification and regression model accuracy. Here, we reserve some of the build data (data that includes known target values) to be used for an honest estimate of model error using data the model has not seen before. This sampling transformation is often called a split because the build data is split into two randomly selected sets, often with 60% of the records being used for model building and 40% for testing. Sampling must be performed with care, as it can adversely affect model quality and usability. Even a truly random sample doesn't guarantee that all values are represented in a given attribute. This is particularly troublesome when the attribute with omitted values is the target. A predictive model that has not seen any examples for a particular target value can never predict that target value! For other attributes, values may consist of a single value (a constant attribute) or all unique values (an identifier attribute), each of which may be excluded during mining. Values from categorical predictor attributes that didn't appear in the training data are not used when testing or scoring datasets. In subsequent posts, we'll talk about three sampling techniques using Oracle Database: simple random sampling without replacement, stratified sampling, and simple random sampling with replacement.

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• career in Mobile sw/Application Development [closed]

  - by pramod

  i m planning to do a course on Wireless & mobile computing.The syllabus are given below.Please check & let me know whether its worth to do.How is the job prospects after that.I m a fresher & from electronic Engg.The modules are- *Wireless and Mobile Computing (WiMC) – Modules* C, C++ Programming and Data Structures 100 Hours C Revision C, C++ programming tools on linux(Vi editor, gdb etc.) OOP concepts Programming constructs Functions Access Specifiers Classes and Objects Overloading Inheritance Polymorphism Templates Data Structures in C++ Arrays, stacks, Queues, Linked Lists( Singly, Doubly, Circular) Trees, Threaded trees, AVL Trees Graphs, Sorting (bubble, Quick, Heap , Merge) System Development Methodology 18 Hours Software life cycle and various life cycle models Project Management Software: A Process Various Phases in s/w Development Risk Analysis and Management Software Quality Assurance Introduction to Coding Standards Software Project Management Testing Strategies and Tactics Project Management and Introduction to Risk Management Java Programming 110 Hours Data Types, Operators and Language Constructs Classes and Objects, Inner Classes and Inheritance Inheritance Interface and Package Exceptions Threads Java.lang Java.util Java.awt Java.io Java.applet Java.swing XML, XSL, DTD Java n/w programming Introduction to servlet Mobile and Wireless Technologies 30 Hours Basics of Wireless Technologies Cellular Communication: Single cell systems, multi-cell systems, frequency reuse, analog cellular systems, digital cellular systems GSM standard: Mobile Station, BTS, BSC, MSC, SMS sever, call processing and protocols CDMA standard: spread spectrum technologies, 2.5G and 3G Systems: HSCSD, GPRS, W-CDMA/UMTS,3GPP and international roaming, Multimedia services CDMA based cellular mobile communication systems Wireless Personal Area Networks: Bluetooth, IEEE 802.11a/b/g standards Mobile Handset Device Interfacing: Data Cables, IrDA, Bluetooth, Touch- Screen Interfacing Wireless Security, Telemetry Java Wireless Programming and Applications Development(J2ME) 100 Hours J2ME Architecture The CLDC and the KVM Tools and Development Process Classification of CLDC Target Devices CLDC Collections API CLDC Streams Model MIDlets MIDlet Lifecycle MIDP Programming MIDP Event Architecture High-Level Event Handling Low-Level Event Handling The CLDC Streams Model The CLDC Networking Package The MIDP Implementation Introduction to WAP, WML Script and XHTML Introduction to Multimedia Messaging Services (MMS) Symbian Programming 60 Hours Symbian OS basics Symbian OS services Symbian OS organization GUI approaches ROM building Debugging Hardware abstraction Base porting Symbian OS reference design porting File systems Overview of Symbian OS Development – DevKits, CustKits and SDKs CodeWarrior Tool Application & UI Development Client Server Framework ECOM STDLIB in Symbian iPhone Programming 80 Hours Introducing iPhone core specifications Understanding iPhone input and output Designing web pages for the iPhone Capturing iPhone events Introducing the webkit CSS transforms transitions and animations Using iUI for web apps Using Canvas for web apps Building web apps with Dashcode Writing Dashcode programs Debugging iPhone web pages SDK programming for web developers An introduction to object-oriented programming Introducing the iPhone OS Using Xcode and Interface builder Programming with the SDK Toolkit OS Concepts & Linux Programming 60 Hours Operating System Concepts What is an OS? Processes Scheduling & Synchronization Memory management Virtual Memory and Paging Linux Architecture Programming in Linux Linux Shell Programming Writing Device Drivers Configuring and Building GNU Cross-tool chain Configuring and Compiling Linux Virtual File System Porting Linux on Target Hardware WinCE.NET and Database Technology 80 Hours Execution Process in .NET Environment Language Interoperability Assemblies Need of C# Operators Namespaces & Assemblies Arrays Preprocessors Delegates and Events Boxing and Unboxing Regular Expression Collections Multithreading Programming Memory Management Exceptions Handling Win Forms Working with database ASP .NET Server Controls and client-side scripts ASP .NET Web Server Controls Validation Controls Principles of database management Need of RDBMS etc Client/Server Computing RDBMS Technologies Codd’s Rules Data Models Normalization Techniques ER Diagrams Data Flow Diagrams Database recovery & backup SQL Android Application 80 Hours Introduction of android Why develop for android Android SDK features Creating android activities Fundamental android UI design Intents, adapters, dialogs Android Technique for saving data Data base in Androids Maps, Geocoding, Location based services Toast, using alarms, Instant messaging Using blue tooth Using Telephony Introducing sensor manager Managing network and wi-fi connection Advanced androids development Linux kernel security Implement AIDL Interface. Project 120 Hours

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• New R Interface to Oracle Data Mining Available for Download

  - by charlie.berger

    The R Interface to Oracle Data Mining ( R-ODM) allows R users to access the power of Oracle Data Mining's in-database functions using the familiar R syntax. R-ODM provides a powerful environment for prototyping data analysis and data mining methodologies. R-ODM is especially useful for: Quick prototyping of vertical or domain-based applications where the Oracle Database supports the application Scripting of "production" data mining methodologies Customizing graphics of ODM data mining results (examples: classification, regression, anomaly detection) The R-ODM interface allows R users to mine data using Oracle Data Mining from the R programming environment. It consists of a set of function wrappers written in source R language that pass data and parameters from the R environment to the Oracle RDBMS enterprise edition as standard user PL/SQL queries via an ODBC interface. The R-ODM interface code is a thin layer of logic and SQL that calls through an ODBC interface. R-ODM does not use or expose any Oracle product code as it is completely an external interface and not part of any Oracle product. R-ODM is similar to the example scripts (e.g., the PL/SQL demo code) that illustrates the use of Oracle Data Mining, for example, how to create Data Mining models, pass arguments, retrieve results etc. R-ODM is packaged as a standard R source package and is distributed freely as part of the R environment's Comprehensive R Archive Network (CRAN). For information about the R environment, R packages and CRAN, see www.r-project.org. R-ODM is particularly intended for data analysts and statisticians familiar with R but not necessarily familiar with the Oracle database environment or PL/SQL. It is a convenient environment to rapidly experiment and prototype Data Mining models and applications. Data Mining models prototyped in the R environment can easily be deployed in their final form in the database environment, just like any other standard Oracle Data Mining model. What is R? R is a system for statistical computation and graphics. It consists of a language plus a run-time environment with graphics, a debugger, access to certain system functions, and the ability to run programs stored in script files. The design of R has been heavily influenced by two existing languages: Becker, Chambers & Wilks' S and Sussman's Scheme. Whereas the resulting language is very similar in appearance to S, the underlying implementation and semantics are derived from Scheme. R was initially written by Ross Ihaka and Robert Gentleman at the Department of Statistics of the University of Auckland in Auckland, New Zealand. Since mid-1997 there has been a core group (the "R Core Team") who can modify the R source code archive. Besides this core group many R users have contributed application code as represented in the near 1,500 publicly-available packages in the CRAN archive (which has shown exponential growth since 2001; R News Volume 8/2, October 2008). Today the R community is a vibrant and growing group of dozens of thousands of users worldwide. It is free software distributed under a GNU-style copyleft, and an official part of the GNU project ("GNU S"). Resources: R website / CRAN R-ODM

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• Is Cloud Security Holding Back Social SaaS?

  - by Mike Stiles

  The true promise of social data co-mingling with enterprise data to influence and inform social marketing (all marketing really) lives in cloud computing. The cloud brings processing power, services, speed and cost savings the likes of which few organizations could ever put into action on their own. So why wouldn’t anyone jump into SaaS (Software as a Service) with both feet? Cloud security. Being concerned about security is proper and healthy. That just means you’re a responsible operator. Whether it’s protecting your customers’ data or trying to stay off the radar of regulatory agencies, you have plenty of reasons to make sure you’re as protected from hacking, theft and loss as you can possibly be. But you also have plenty of reasons to not let security concerns freeze you in your tracks, preventing you from innovating, moving the socially-enabled enterprise forward, and keeping up with competitors who may not be as skittish regarding SaaS technology adoption. Over half of organizations are transferring sensitive or confidential data to the cloud, an increase of 10% over last year. With the roles and responsibilities of CMO’s, CIO’s and other C’s changing, the first thing you should probably determine is who should take point on analyzing cloud software options, providers, and policies. An oft-quoted Ponemon Institute study found 36% of businesses don’t have a cloud security policy at all. So that’s as good a place to start as any. What applications and data are you comfortable housing in the cloud? Do you have a classification system for data that clearly spells out where data types can go and how they can be used? Who, both internally and at the cloud provider, will function as admins? What are the different levels of admin clearance? Will your security policies and procedures sync up with those of your cloud provider? The key is verifiable trust. Trust in cloud security is actually going up. 1/3 of organizations polled say it’s the cloud provider who should be responsible for data protection. And when you look specifically at SaaS providers, that expectation goes up to 60%. 57% “strongly agree” or “agree” there’s more confidence in cloud providers’ ability to protect data. In fact, some businesses bypass the “verifiable” part of verifiable trust. Just over half have no idea what their cloud provider does to protect data. And yet, according to the “Private Cloud Vision vs. Reality” InformationWeek Report, 82% of organizations say security/data privacy are one of the main reasons they’re still holding the public cloud at arm’s length. That’s going to be a tough position to maintain, because just as social is rapidly changing the face of marketing, big data is rapidly changing the face of enterprise IT. Netflix, who’s particularly big on the benefits of the cloud, says, "We're systematically disassembling the corporate IT components." An enterprise can never realize the full power of big data, nor get the full potential value out of it, if it’s unwilling to enable the integrations and dataset connections necessary in the cloud. Because integration is called for to reduce fragmentation, a standardized platform makes a lot of sense. With multiple components crafted to work together, you’re maximizing scalability, optimization, cost effectiveness, and yes security and identity management benefits. You can see how the incentive is there for cloud companies to develop and add ever-improving security features, making cloud computing an eventual far safer bet than traditional IT. @mikestilesPhoto: stock.xchng

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• Protecting Consolidated Data on Engineered Systems

  - by Steve Enevold

  In this time of reduced budgets and cost cutting measures in Federal, State and Local governments, the requirement to provide services continues to grow. Many agencies are looking at consolidating their infrastructure to reduce cost and meet budget goals. Oracle's engineered systems are ideal platforms for accomplishing these goals. These systems provide unparalleled performance that is ideal for running applications and databases that traditionally run on separate dedicated environments. However, putting multiple critical applications and databases in a single architecture makes security more critical. You are putting a concentrated set of sensitive data on a single system, making it a more tempting target.  The environments were previously separated by iron so now you need to provide assurance that one group, department, or application's information is not visible to other personnel or applications resident in the Exadata system. Administration of the environments requires formal separation of duties so an administrator of one application environment cannot view or negatively impact others. Also, these systems need to be in protected environments just like other critical production servers. They should be in a data center protected by physical controls, network firewalls, intrusion detection and prevention, etc Exadata also provides unique security benefits, including a reducing attack surface by minimizing packages and services to only those required. In addition to reducing the possible system areas someone may attempt to infiltrate, Exadata has the following features: 1.    Infiniband, which functions as a secure private backplane 2.    IPTables  to perform stateful packet inspection for all nodes               Cellwall implements firewall services on each cell using IPTables 3.    Hardware accelerated encryption for data at rest on storage cells Oracle is uniquely positioned to provide the security necessary for implementing Exadata because security has been a core focus since the company's beginning. In addition to the security capabilities inherent in Exadata, Oracle security products are all certified to run in an Exadata environment. Database Vault Oracle Database Vault helps organizations increase the security of existing applications and address regulatory mandates that call for separation-of-duties, least privilege and other preventive controls to ensure data integrity and data privacy. Oracle Database Vault proactively protects application data stored in the Oracle database from being accessed by privileged database users. A unique feature of Database Vault is the ability to segregate administrative tasks including when a command can be executed, or that the DBA can manage the health of the database and objects, but may not see the data Advanced Security  helps organizations comply with privacy and regulatory mandates by transparently encrypting all application data or specific sensitive columns, such as credit cards, social security numbers, or personally identifiable information (PII). By encrypting data at rest and whenever it leaves the database over the network or via backups, Oracle Advanced Security provides the most cost-effective solution for comprehensive data protection. Label Security  is a powerful and easy-to-use tool for classifying data and mediating access to data based on its classification. Designed to meet public-sector requirements for multi-level security and mandatory access control, Oracle Label Security provides a flexible framework that both government and commercial entities worldwide can use to manage access to data on a "need to know" basis in order to protect data privacy and achieve regulatory compliance  Data Masking reduces the threat of someone in the development org taking data that has been copied from production to the development environment for testing, upgrades, etc by irreversibly replacing the original sensitive data with fictitious data so that production data can be shared safely with IT developers or offshore business partners  Audit Vault and Database Firewall Oracle Audit Vault and Database Firewall serves as a critical detective and preventive control across multiple operating systems and database platforms to protect against the abuse of legitimate access to databases responsible for almost all data breaches and cyber attacks.  Consolidation, cost-savings, and performance can now be achieved without sacrificing security. The combination of built in protection and Oracle’s industry-leading data protection solutions make Exadata an ideal platform for Federal, State, and local governments and agencies.

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• Consumer Oriented Search In Oracle Endeca Information Discovery – Part 1

  - by Bob Zurek

  Information Discovery, a core capability of Oracle Endeca Information Discovery, enables business users to rapidly search, discover and navigate through a wide variety of big data including structured, unstructured and semi-structured data. One of the key capabilities, among many, that differentiate our solution from others in the Information Discovery market is our deep support for search across this growing amount of varied big data. Our method and approach is very different than classic simple keyword search that is found in may information discovery solutions. In this first part of a series on the topic of search, I will walk you through many of the key capabilities that go beyond the simple search box that you might experience in products where search was clearly an afterthought or attempt to catch up to our core capabilities in this area. Lets explore. The core data management solution of Oracle Endeca Information Discovery is the Endeca Server, a hybrid search-analytical database that his highly scalable and column-oriented in nature. We will talk in more technical detail about the capabilities of the Endeca Server in future blog posts as this post is intended to give you a feel for the deep search capabilities that are an integral part of the Endeca Server. The Endeca Server provides best-of-breed search features aw well as a new class of features that are the first to be designed around the requirement to bridge structured, semi-structured and unstructured big data. Some of the key features of search include type a heads, automatic alphanumeric spell corrections, positional search, Booleans, wildcarding, natural language, and category search and query classification dialogs. This is just a subset of the advanced search capabilities found in Oracle Endeca Information Discovery. Search is an important feature that makes it possible for business users to explore on the diverse data sets the Endeca Server can hold at any one time. The search capabilities in the Endeca server differ from other Information Discovery products with simple “search boxes” in the following ways: The Endeca Server Supports Exploratory Search.  Enterprise data frequently requires the user to explore content through an ad hoc dialog, with guidance that helps them succeed. This has implications for how to design search features. Traditional search doesn’t assume a dialog, and so it uses relevance ranking to get its best guess to the top of the results list. It calculates many relevance factors for each query, like word frequency, distance, and meaning, and then reduces those many factors to a single score based on a proprietary “black box” formula. But how can a business users, searching, act on the information that the document is say only 38.1% relevant? In contrast, exploratory search gives users the opportunity to clarify what is relevant to them through refinements and summaries. This approach has received consumer endorsement through popular ecommerce sites where guided navigation across a broad range of products has helped consumers better discover choices that meet their, sometimes undetermined requirements. This same model exists in Oracle Endeca Information Discovery. In fact, the Endeca Server powers many of the most popular e-commerce sites in the world. The Endeca Server Supports Cascading Relevance. Traditional approaches of search reduce many relevance weights to a single score. This means that if a result with a good title match gets a similar score to one with an exact phrase match, they’ll appear next to each other in a list. But a user can’t deduce from their score why each got it’s ranking, even though that information could be valuable. Oracle Endeca Information Discovery takes a different approach. The Endeca Server stratifies results by a primary relevance strategy, and then breaks ties within a strata by ordering them with a secondary strategy, and so on. Application managers get the explicit means to compose these strategies based on their knowledge of their own domain. This approach gives both business users and managers a deterministic way to set and understand relevance. Now that you have an understanding of two of the core search capabilities in Oracle Endeca Information Discovery, our next blog post on this topic will discuss more advanced features including set search, second-order relevance as well as an understanding of faceted search mechanisms that include queries and filters.  

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• SQL Saturday and Exploring Data Privacy

  - by Johnm

  I have been highly impressed with the growth of the SQL Saturday phenomenon. It seems that an announcement for a new wonderful event finds its way to my inbox on a daily basis. I have had the opportunity to attend the first of the SQL Saturday's for Tampa, Chicago, Louisville and recently my home town of Indianapolis. It is my hope that there will be many more in my future. This past weekend I had the honor of being selected to speak amid a great line up of speakers at SQL Saturday #82 in Indianapolis. My session topic/title was "Exploring Data Privacy". Below is a brief synopsis of my session: Data Privacy in a Nutshell        - Definition of data privacy        - Examples of personally identifiable data        - Examples of Sensitive data Laws and Stuff        - Various examples of laws, regulations and policies that influence the definition of data privacy        - General rules of thumb that encompasses most laws Your Data Footprint        - Who has personal information about you?        - What are you exchanging data privacy for?        - The amazing resilience of data        - The cost of data loss Weapons of Mass Protection       - Data classification       - Extended properties       - Database Object Schemas       - An extraordinarily brief introduction of encryption       - The amazing data professional  <-the most important point of the entire session! The subject of data privacy is one that is quickly making its way to the forefront of the mind of many data professionals. Somewhere out there someone is storing personally identifiable and other sensitive data about you. In some cases it is kept reasonably secure. In other cases it is kept in total exposure without the consideration of its potential of damage to you. Who has access to it and how is it being used? Are we being unnecessarily required to supply sensitive data in exchange for products and services? These are just a few questions on everyone's mind. As data loss events of grand scale hit the headlines in a more frequent succession, the level of frustration and urgency for a solution increases. I assembled this session with the intent to raise awareness of sensitive data and remind us all that we, data professionals, are the ones who have the greatest impact and influence on how sensitive data is regarded and protected. Mahatma Gandhi once said "Be the change you want to see in the world." This is guidance that I keep near to my heart as I approached this topic of data privacy.

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• Sentiment analysis for twitter in python

  - by Ran

  I'm looking for an open source implementation, preferably in python, of Textual Sentiment Analysis (http://en.wikipedia.org/wiki/Sentiment_analysis). Is anyone familiar with such open source implementation I can use? I'm writing an application that searches twitter for some search term, say "youtube", and counts "happy" tweets vs. "sad" tweets. I'm using Google's appengine, so it's in python. I'd like to be able to classify the returned search results from twitter and I'd like to do that in python. I haven't been able to find such sentiment analyzer so far, specifically not in python. Are you familiar with such open source implementation I can use? Preferably this is already in python, but if not, hopefully I can translate it to python. Note, the texts I'm analyzing are VERY short, they are tweets. So ideally, this classifier is optimized for such short texts. BTW, twitter does support the ":)" and ":(" operators in search, which aim to do just this, but unfortunately, the classification provided by them isn't that great, so I figured I might give this a try myself. Thanks! BTW, an early demo is here and the code I have so far is here and I'd love to opensource it with any interested developer.

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• Calculating Nearest Match to Mean/Stddev Pair With LibSVM

  - by Chris S

  I'm new to SVMs, and I'm trying to use the Python interface to libsvm to classify a sample containing a mean and stddev. However, I'm getting nonsensical results. Is this task inappropriate for SVMs or is there an error in my use of libsvm? Below is the simple Python script I'm using to test: #!/usr/bin/env python # Simple classifier test. # Adapted from the svm_test.py file included in the standard libsvm distribution. from collections import defaultdict from svm import * # Define our sparse data formatted training and testing sets. labels = [1,2,3,4] train = [ # key: 0=mean, 1=stddev {0:2.5,1:3.5}, {0:5,1:1.2}, {0:7,1:3.3}, {0:10.3,1:0.3}, ] problem = svm_problem(labels, train) test = [ ({0:3, 1:3.11},1), ({0:7.3,1:3.1},3), ({0:7,1:3.3},3), ({0:9.8,1:0.5},4), ] # Test classifiers. kernels = [LINEAR, POLY, RBF] kname = ['linear','polynomial','rbf'] correct = defaultdict(int) for kn,kt in zip(kname,kernels): print kt param = svm_parameter(kernel_type = kt, C=10, probability = 1) model = svm_model(problem, param) for test_sample,correct_label in test: pred_label, pred_probability = model.predict_probability(test_sample) correct[kn] += pred_label == correct_label # Show results. print '-'*80 print 'Accuracy:' for kn,correct_count in correct.iteritems(): print '\t',kn, '%.6f (%i of %i)' % (correct_count/float(len(test)), correct_count, len(test)) The domain seems fairly simple. I'd expect that if it's trained to know a mean of 2.5 means label 1, then when it sees a mean of 2.4, it should return label 1 as the most likely classification. However, each kernel has an accuracy of 0%. Why is this? On a side note, is there a way to hide all the verbose training output dumped by libsvm in the terminal? I've searched libsvm's docs and code, but I can't find any way to turn this off.

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• how to better (inambiguaously) use the terms CAPTCHA and various types of interactions?

  - by vgv8

  I am working on survey of state-of-the-art and trends of spam prevention techniques. I observe that non-intrusive, transparent to visitor spam prevention techniques (like context-based filtering or honey traps) are frequently called non-captcha. Is it correct understanding of term CAPTCHA which is "type of challenge-response [ 2 ]test used in computing to ensure that the response is not generated by a compute" [ 1 ] and challenge-response does not seem to imply obligatory human involvement. So, which understanding (definition) of term and classification I'd better to stick with? How would I better call CAPTCHA without direct human interaction in order to avoid ambiguity and confusion of terms understnding? How would I better (succinctly and unambiguously) coin the term for captchas requiring human interaction but without typing into textbox? How would I better (succinctly and unambiguously) coin the terms to mark the difference between human interaction with images (playing, drag&dropping, rearranging, clicking with images) vs. just recognizing them (and then typing into a textbox the answer without interaction with images)? PS. The problem is that recognition of a wiggled word in an image or typing the answer to question is also interaction and when I start to use the terms "interaction", "interactive", "captcha", "protection", "non-captcha", "non-interactive", "static", "dynamic", "visible", "hidden" the terms overlap ambiguously with which another (especailly because the definitions or their actual practice of usage are vague or contradictive). [ 1 ] http://en.wikipedia.org/wiki/CAPTCHA

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• has_many :through formtastic multi-select field

  - by Tristan O'Neil

  I'm trying to set up a many to many relationship using the has_many :through method and then use a multi-select field to setup the relationships. I'm following this tutorial: http://asciicasts.com/episodes/185-formtastic-part-2 However for some reason the form displays a strange hex number and it changes each page refresh, I'm not exactly sure what I'm doing wrong. Below is my model/view code. company.rb has_many :classifications has_many :sics, :through => :classifications sic.rb has_many :classifications has_many :companies, :through => :classifications classification.rb belongs_to :company belongs_to :sic _form.html.erb <% semantic_form_for @company do |f| %> <% f.inputs do %> <%= f.input :company %> <%= f.input :sics %> <% end %> <%= f.buttons %> <% end %> Also here is the the form looks like it's showing the correct number of entries for the field but it is clearly not showing the correct name for the relationship.

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• Categories of tags

  - by Peter Rowell

  I'm starting a pro bono project that is the web interface to the world's largest collection of lute music and it's a challenging collection from several points of view. The pieces are largely from 1400 to 1600, but they range from the mid-1200's to present day. Needless to say, there is tremendous variability in how the pieces are categorized and who they are attributed to. It is obvious that any sort of rigid, DB-enforced hierarchy isn't going to work with this collection, so my thoughts turn to tags. But not all tags are the same. I'll have tags that represent a person/role (composer, translator, entabulator, etc.), tags that represent the instrument(s) the piece in written for, and tags that represent how the piece has been classified by any one of half a dozen different classification systems used over the centuries. We will be using a semi-controlled tag vocabulary to prevent runaway tag proliferation (e.g. del.icio.us), but I want to treat the tags as belonging to different groups. People tags should not be offered when the editor is doing instrument tagging, etc. Has anyone done something like this? I have several ways I can think of to do it, but if there is an existing system that is well-done it would save me time implementing/debugging. FWIW: This is a Django system and I'm looking at starting with Django-tagging and then hacking from there, possibly adding a category field or ...

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• Cladogram, tree of life, cladistics, taxonomy in JS or canvas?

  - by boblet

  Good people - I need some help to find a way to create an interactive cladogram or phylogenetic tree (yes, I have read all related posts, and do not find what I am looking for). The thing is, I need the nodes to be name-able. An example would be something like this Most scripts I find are either applets, flash, or simply do not show the node classification, ie it would skip "feliformia" in this example. This is useless to me, as I would then end up with carnivore - anonymous node - anonymous node - anonymous node - tiger, and that is not good. This tree will in theory cover all life, so it could get rather large, and get links and names in english and latin from database. So: no flash, no applets. It must be horizontal, no supertrees (circular). I have gone through this http://bioinfo.unice.fr/biodiv/Tree_editors.html but most of them seems to be either old, not displaying sub-node levels, applets, or way too complex. I imagine this would be a delightful job for canvas/jQuery..? And chances are, someone got there before me? Any pointers much appreciated. Note: if anyone out there would like to do something like this as a project, I will be happy to help, even though it would not benefit me for this project.This type of taxonomy is not as simple as it may seem, and I would be happy see this happen.

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• Android : SQL Lite insertion or create table issue

  - by Ram

  Team, can anyone please help me to understand what could be the problem in the below snippet of code? It fails after insertion 2 and insertion 3 debug statements I have the contentValues in the Array list, I am iterating the arraylist and inserting the content values in to the database. Log.d("database","before insertion 1 "); liteDatabase = this.openOrCreateDatabase("Sales", MODE_PRIVATE, null); Log.d("database","before insertion 2 "); liteDatabase .execSQL("Create table activity ( ActivityId VARCHAR,Created VARCHAR,AMTaps_X VARCHAR,AMTemperature_X VARCHAR,AccountId VARCHAR,AccountLocation VARCHAR,AccountName VARCHAR,Classification VARCHAR,ActivityType VARCHAR,COTaps_X VARCHAR,COTemperature_X VARCHAR,Comment VARCHAR,ContactWorkPhone VARCHAR,CreatedByName VARCHAR,DSCycleNo_X VARCHAR,DSRouteNo_X VARCHAR,DSSequenceNo_X VARCHAR,Description VARCHAR,HETaps_X VARCHAR,HETemperature_X VARCHAR,Pro_Setup VARCHAR,LastUpdated VARCHAR,LastUpdatedBy VARCHAR,Licensee VARCHAR,MUTaps_X VARCHAR,MUTemperature_X VARCHAR,Objective VARCHAR,OwnerFirstName VARCHAR,OwnerLastName VARCHAR,PhoneNumber VARCHAR,Planned VARCHAR,PlannedCleanActualDt_X VARCHAR,PlannedCleanReason_X VARCHAR,PrimaryOwnedBy VARCHAR,Pro_Name VARCHAR,ServiceRepTerritory_X VARCHAR,ServiceRep_X VARCHAR,Status VARCHAR,Type VARCHAR,HEINDSTapAuditDate VARCHAR,HEINEmployeeType VARCHAR)"); Log.d("database","before insertion 3 "); int counter = 0; int size = arrayList.size(); for (counter = 0; counter < size; counter++) { ContentValues contentValues = (ContentValues) arrayList .get(counter); liteDatabase.insert("activity", "activityInfo", contentValues); Log.d("database", "Database insertion is done"); } }

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• Neural Network with softmax activation

  - by Cambium

  This is more or less a research project for a course, and my understanding of NN is very/fairly limited, so please be patient :) ============== I am currently in the process of building a neural network that attempts to examine an input dataset and output the probability/likelihood of each classification (there are 5 different classifications). Naturally, the sum of all output nodes should add up to 1. Currently, I have two layers, and I set the hidden layer to contain 10 nodes. I came up with two different types of implementations 1) Logistic sigmoid for hidden layer activation, softmax for output activation 2) Softmax for both hidden layer and output activation I am using gradient descent to find local maximums in order to adjust the hidden nodes' weights and the output nodes' weights. I am certain in that I have this correct for sigmoid. I am less certain with softmax (or whether I can use gradient descent at all), after a bit of researching, I couldn't find the answer and decided to compute the derivative myself and obtained softmax'(x) = softmax(x) - softmax(x)^2 (this returns an column vector of size n). I have also looked into the MATLAB NN toolkit, the derivative of softmax provided by the toolkit returned a square matrix of size nxn, where the diagonal coincides with the softmax'(x) that I calculated by hand; and I am not sure how to interpret the output matrix. I ran each implementation with a learning rate of 0.001 and 1000 iterations of back propagation. However, my NN returns 0.2 (an even distribution) for all five output nodes, for any subset of the input dataset. My conclusions: o I am fairly certain that my gradient of descent is incorrectly done, but I have no idea how to fix this. o Perhaps I am not using enough hidden nodes o Perhaps I should increase the number of layers Any help would be greatly appreciated! The dataset I am working with can be found here (processed Cleveland): http://archive.ics.uci.edu/ml/datasets/Heart+Disease

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• howto distinguish composition and self-typing use-cases

  - by ayvango

  Scala has two instruments for expressing object composition: original self-type concept and well known trivial composition. I'm curios what situations I should use which in. There are obvious differences in their applicability. Self-type requires you to use traits. Object composition allows you to change extensions on run-time with var declaration. Leaving technical details behind I can figure two indicators to help with classification of use cases. If some object used as combinator for a complex structure such as tree or just have several similar typed parts (1 car to 4 wheels relation) than it should use composition. There is extreme opposite use case. Lets assume one trait become too big to clearly observe it and it got split. It is quite natural that you should use self-types for this case. That rules are not absolute. You may do extra work to convert code between this techniques. e.g. you may replace 4 wheels composition with self-typing over Product4. You may use Cake[T <: MyType] {part : MyType} instead of Cake { this : MyType => } for cake pattern dependencies. But both cases seem counterintuitive and give you extra work. There are plenty of boundary use cases although. One-to-one relations is very hard to decide with. Is there any simple rule to decide what kind of technique is preferable? self-type makes you classes abstract, composition makes your code verbose. self-type gives your problems with blending namespaces and also gives you extra typing for free (you got not just a cocktail of two elements but gasoline-motor oil cocktail known as a petrol bomb). How can I choose between them? What hints are there? Update: Let us discuss the following example: Adapter pattern. What benefits it has with both selt-typing and composition approaches?

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• Is XMLReader a SAX parser, a DOM parser, or neither?

  - by Renesis

  I am testing various methods to read (possibly large, and very often) XML configuration files in PHP. No writing is ever needed. I have two successful implementations, one using SimpleXML (which I know is a DOM parser) and one using XMLReader. I know that a DOM reader must read the whole tree and therefore uses more memory. My tests reflect that. I also know that A SAX parser is an "event-based" parser that uses less memory because it reads each node from the stream without checking what is next. XMLReader also reads from a stream with the cursor providing data about the node it is currently at. So, it definitely sounds like XMLReader (http://us2.php.net/xmlreader) is not a DOM parser, but my question is, is it a SAX parser, or something else? It seems like XMLReader behaves the way a SAX parser does but does not throw the events themselves (in other words, can you construct a SAX parser with XMLReader?) If it is something else, does the classification it's in have a name?

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• Best way to implement plugin framework - are DLLs the only way (C/C++ project)?

  - by Microkernel

  Introduction: I am currently developing a document classifier software in C/C++ and I will be using Naive-Bayesian model for classification. But I wanted the users to use any algorithm that they want(or I want in the future), hence I went to separate the algorithm part in the architecture as a plugin that will be attached to the main app @ app start-up. Hence any user can write his own algorithm as a plugin and use it with my app. Problem Statement: The way I am intending to develop this is to have each of the algorithms that user wants to use to be made into a DLL file and put into a specific directory. And at the start, my app will search for all the DLLs in that directory and load them. My Questions: (1) What if a malicious code is made as a DLL (and that will have same functions mandated by plugin framework) and put into my plugins directory? In that case, my app will think that its a plugin and picks it and calls its functions, so the malicious code can easily bring down my entire app down (In the worst case could make my app as a malicious code launcher!!!). (2) Is using DLLs the only way available to implement plugin design pattern? (Not only for the fear of malicious plugin, but its a generic question out of curiosity :) ) (3) I think a lot of softwares are written with plugin model for extendability, if so, how do they defend against such attacks? (4) In general what do you think about my decision to use plugin model for extendability (do you think I should look at any other alternatives?) Thank you -MicroKernel :)

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• How can I have a Label change dynamically based on a Slider Value?

  - by duney

  I'm writing a grade calculator and I currently have a slider with a textbox beside it which displays the current value of the slider: <Slider Name="gradeSlider" Grid.Row="3" Grid.Column="2" VerticalAlignment="Center" Minimum="40" Maximum="100" IsSnapToTickEnabled="True" TickFrequency="5" TickPlacement="BottomRight"/> <TextBox Name="targetGrade" Grid.Row="3" Grid.Column="3" Width="30" Height="23" Text="{Binding ElementName=gradeSlider, Path=Value}" TextAlignment="Center"/> However I'm struggling to include a label which will show display a different grade classification based on the slider's value range. I'd have thought that I could create the label: <Label Name="gradeClass" Grid.Row="2" Grid.Column="2" HorizontalAlignment="Center" VerticalAlignment="Bottom"/> And then use code: string gradeText; if (gradeSlider.Value >= 40 && gradeSlider.Value < 50) { gradeText = "Pass"; gradeClass.Content = gradeText; } else if (gradeSlider.Value >= 50 && gradeSlider.Value < 60) { gradeText = "2:2"; gradeClass.Content = gradeText; } else { gradeText = "so on..."; gradeClass.Content = gradeText; } But the label just stays as "Pass" whatever the slider value. Could somebody please advise me as to where I'm going wrong? I tried using Content = "{Binding Source = gradeText}" on the Label xaml and removing the gradeClass.Content's in the code but it complained that gradeText was declared but never used. Many thanks to anyone who can help.

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• TF30004: The New Team Project Wizard encountered an unexpected error while initializing the Microsof

  - by Frozzare

  Hello, i get this error when i trying to create a new project in team project. The server is right, i check all ports. I don't now what i should do now, can't find any good information 2009-09-19 01:45:41Z | Module: Internal | Team Foundation Server proxy retrieved | Completion time: 0.338 seconds 2009-09-19 01:45:41Z | Module: Internal | The template information for Team Foundation Server "TFSServer01" was retrieved from the Team Foundation Server. | Completion time: 0.099 seconds 2009-09-19 01:45:41Z | Module: Wizard | Retrieved IAuthorizationService proxy | Completion time: 0.404 seconds 2009-09-19 01:45:41Z | Module: Wizard | TF30227: Project creation permissions retrieved | Completion time: 0.015 seconds 2009-09-19 01:45:44Z | Module: Engine | Thread: 5 | New project will be created with the "MSF for Agile Software Development - v4.2" methodology 2009-09-19 01:45:44Z | Module: Engine | Retrieved IAuthorizationService proxy | Completion time: 0 seconds 2009-09-19 01:45:44Z | Module: Engine | TF30227: Project creation permissions retrieved | Completion time: 0.01 seconds 2009-09-19 01:45:45Z | Module: Engine | Wrote compressed process template file | Completion time: 0.001 seconds 2009-09-19 01:45:46Z | Module: Engine | Extracted process template file | Completion time: 1.428 seconds 2009-09-19 01:45:46Z | Module: Engine | Thread: 5 | Starting Project Creation for project "TestProject" in domain "TFSServer01" 2009-09-19 01:45:46Z | Module: Engine | The user identity information was retrieved from the Group Security Service | Completion time: 0.045 seconds 2009-09-19 01:45:46Z | Module: Initializer | Thread: 5 | The New Team Project Wizard is starting to initialize the plug-ins. 2009-09-19 01:45:46Z | Module: CssStructureUploader | Thread: 5 | Entering Initialize in CssStructureUploader 2009-09-19 01:45:46Z | Module: CssStructureUploader | Thread: 5 | Initialize for CssStructureUploader complete 2009-09-19 01:45:46Z | Module: Initializer | Thread: 5 | The New Team Project Wizard successfully Initialized the plug-in Microsoft.ProjectCreationWizard.Classification. 2009-09-19 01:45:46Z | Module: Rosetta | Thread: 5 | Entering Initialize in RosettaReportUploader 2009-09-19 01:45:48Z | Module: Rosetta | Thread: 5 | Exiting Initialize for RosettaReportUploader 2009-09-19 01:45:48Z | Module: Initializer | Thread: 5 | The New Team Project Wizard successfully Initialized the plug-in Microsoft.ProjectCreationWizard.Reporting. 2009-09-19 01:45:48Z | Module: WSS | Thread: 5 | Entering Initialize in WssSiteCreator 2009-09-19 01:45:48Z | Module: WSS | Thread: 5 | Site information: Title = "TestProject" Description = "This team project was created based on the 'MSF for Agile Software Development - v4.2' process template." 2009-09-19 01:45:48Z | Module: WSS | Thread: 5 | Base site url: http://TFSServer01:14143/webbplatser 2009-09-19 01:45:48Z | Module: WSS | Thread: 5 | Admin site url: http://TFSServer01:16183/_vti_adm/admin.asmx ---begin Exception entry--- Time: 2009-09-19 01:46:27 Z Module: Initialize Event Description: TF30207: Initialization for plugin "Microsoft.ProjectCreationWizard.Portal 'failed Exception Type: Microsoft.TeamFoundation.Client.PcwException Exception Message: The client discovered that content-type of request is text / html; charset = utf-8, but the text / xml expected. The request failed with error message: -- Unable to connect to the configuration database. --. Stack Trace: vid Microsoft.VisualStudio.TeamFoundation.WssSiteCreator.CheckPermissions(ProjectCreationContext ctxt) vid Microsoft.VisualStudio.TeamFoundation.WssSiteCreator.Initialize(ProjectCreationContext context) vid Microsoft.VisualStudio.TeamFoundation.EngineStarter.InitializePlugins(MsfTemplate template, PcwPluginCollection pluginCollection) -- Inner Exception -- Exception Type: System.InvalidOperationException Exception Message: The client discovered that content-type of request is text / html; charset = utf-8, but the text / xml expected. The request failed with error message: -- Unable to connect to the configuration database. --. Stack Trace: vid System.Web.Services.Protocols.SoapHttpClientProtocol.ReadResponse(SoapClientMessage message, WebResponse response, Stream responseStream, Boolean asyncCall) vid System.Web.Services.Protocols.SoapHttpClientProtocol.Invoke(String methodName, Object[] parameters) vid Microsoft.TeamFoundation.Proxy.Portal.Admin.GetLanguages() vid Microsoft.VisualStudio.TeamFoundation.WssSiteCreator.CheckPermissions(ProjectCreationContext ctxt) -- end Inner Exception -- --- end Exception entry --- Thanks for you help

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