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• Translate Linq Expression to any existing Query structure?

  - by fredlegrain

  I have some kind of "data engine" between multiple "data consumer" processes and multiple "data storage" sources. I'd like to provide Linq capabilities to the "data consumer" and forward the query to the "data storage". The forwarded query should be some structured query (like, let's say, NHibernate Criteria). Is there any existing structured query library that could allow me to "just" translate a Linq Expression to such a structured query?

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• Introducing Windows Azure Mobile Services

  - by Clint Edmonson

  Today I’m excited to share that the Windows Azure Mobile Services public preview is now available. This preview provides a turnkey backend cloud solution designed to accelerate connected client app development. These services streamline the development process by enabling you to leverage the cloud for common mobile application scenarios such as structured storage, user authentication and push notifications. If you’re building a Windows 8 app and want a fast and easy path to creating backend cloud services, this preview provides the capabilities you need. You to take advantage of the cloud to build and deploy modern apps for Windows 8 devices in anticipation of general availability on October 26th. Subsequent preview releases will extend support to iOS, Android, and Windows Phone. Features The preview makes it fast and easy to create cloud services for Windows 8 applications within minutes. Here are the key benefits:  Rapid development: configure a straightforward and secure backend in less than five minutes. Create modern mobile apps: common Windows Azure plus Windows 8 scenarios that Windows Azure Mobile Services preview will support include:  Automated Service API generation providing CRUD functionality and dynamic schematization on top of Structured Storage Structured Storage with powerful query support so a Windows 8 app can seamlessly connect to a Windows Azure SQL database Integrated Authentication so developers can configure user authentication via Windows Live Push Notifications to bring your Windows 8 apps to life with up to date and relevant information Access structured data: connect to a Windows Azure SQL database for simple data management and dynamically created tables. Easy to set and manage permissions. Pricing One of the key things that we’ve consistently heard from developers about using Windows Azure with mobile applications is the need for a low cost and simple offer. The simplest way to describe the pricing for Windows Azure Mobile Services at preview is that it is the same as Windows Azure Websites during preview. What’s FREE? Run up to 10 Mobile Services for free in a multitenant environment Free with valid Windows Azure Free Trial 1GB SQL Database Unlimited ingress 165MB/day egress  What do I pay for? Scaling up to dedicated VMs Once Windows Azure Free Trial expires - SQL Database and egress     Getting Started To start using Mobile Services, you will need to sign up for a Windows Azure free trial, if you have not done so already.  If you already have a Windows Azure account, you will need to request to enroll in this preview feature. Once you’ve enrolled, this getting started tutorial will walk you through building your first Windows 8 application using the preview’s services. The developer center contains more resources to teach you how to: Validate and authorize access to data using easy scripts that execute securely, on the server Easily authenticate your users via Windows Live Send toast notifications and update live tiles in just a few lines of code Our pricing calculator has also been updated for calculate costs for these new mobile services. Questions? Ask in the Windows Azure Forums. Feedback? Send it to [email protected].

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• Google I/O 2012 - Knowledge-Based Application Design Patterns

  Google I/O 2012 - Knowledge-Based Application Design Patterns Shawn Simister In this talk we'll look at emerging design patterns for building web applications that take advantage of large-scale, structured data. We'll look at open datasets like Wikipedia and Freebase as well as structured markup like Schema.org and RDFa to see what new types of applications these technologies open up for developers. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1 0 ratings Time: 56:55 More in Science & Technology

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• Grasping Good Google Snippets

  If you're like many web users, you may not even know what a "Google snippet" is, how it should be structured, or even why you should care. But when it comes to optimizing your small business web site, it's definitely worth knowing what a Google snippet really is, and what you can do to make sure it is structured properly so you can improve your web site's performance in the search engine results.

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• Does your analytic solution tell you what questions to ask?

  - by Manan Goel

  Analytic solutions exist to answer business questions. Conventional wisdom holds that if you can answer business questions quickly and accurately, you can take better business decisions and therefore achieve better business results and outperform the competition. Most business questions are well understood (read structured) so they are relatively easy to ask and answer. Questions like what were the revenues, cost of goods sold, margins, which regions and products outperformed/underperformed are relatively well understood and as a result most analytics solutions are well equipped to answer such questions. Things get really interesting when you are looking for answers but you don’t know what questions to ask in the first place? That’s like an explorer looking to make new discoveries by exploration. An example of this scenario is the Center of Disease Control (CDC) in United States trying to find the vaccine for the latest strand of the swine flu virus. The researchers at CDC may try hundreds of options before finally discovering the vaccine. The exploration process is inherently messy and complex. The process is fraught with false starts, one question or a hunch leading to another and the final result may look entirely different from what was envisioned in the beginning. Speed and flexibility is the key; speed so the hundreds of possible options can be explored quickly and flexibility because almost everything about the problem, solutions and the process is unknown.  Come to think of it, most organizations operate in an increasingly unknown or uncertain environment. Business Leaders have to take decisions based on a largely unknown view of the future. And since the value proposition of analytic solutions is to help the business leaders take better business decisions, for best results, consider adding information exploration and discovery capabilities to your analytic solution. Such exploratory analysis capabilities will help the business leaders perform even better by empowering them to refine their hunches, ask better questions and take better decisions. That’s your analytic system not only answering the questions but also suggesting what questions to ask in the first place. Today, most leading analytic software vendors offer exploratory analysis products as part of their analytic solutions offerings. So, what characteristics should be top of mind while evaluating the various solutions? The answer is quite simply the same characteristics that are essential for exploration and analysis – speed & flexibility. Speed is required because the system inherently has to be agile to handle hundreds of different scenarios with large volumes of data across large user populations. Exploration happens at the speed of thought so make sure that you system is capable of operating at speed of thought. Flexibility is required because the exploration process from start to finish is full of unknowns; unknown questions, answers and hunches. So, make sure that the system is capable of managing and exploring all relevant data – structured or unstructured like databases, enterprise applications, tweets, social media updates, documents, texts, emails etc. and provides flexible Google like user interface to quickly explore all relevant data. Getting Started You can help business leaders become “Decision Masters” by augmenting your analytic solution with information discovery capabilities. For best results make sure that the solution you choose is enterprise class and allows advanced, yet intuitive, exploration and analysis of complex and varied data including structured, semi-structured and unstructured data.  You can learn more about Oracle’s exploratory analysis solutions by clicking here.

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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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• Consumer Oriented Search In Oracle Endeca Information Discovery - Part 2

  - by Bob Zurek

  As discussed in my last blog posting on this topic, Information Discovery, a core capability of the Oracle Endeca Information Discovery solution enables businesses to search, discover and navigate through a wide variety of big data including structured, unstructured and semi-structured data. With search as a core advanced capabilities of our product it is important to understand some of the key differences and capabilities in the underlying data store of Oracle Endeca Information Discovery and that is our Endeca Server. In the last post on this subject, we talked about Exploratory Search capabilities along with support for cascading relevance. Additional search capabilities in the Endeca Server, which differentiate from simple keyword based "search boxes" in other Information Discovery products also include: The Endeca Server Supports Set Search.  The Endeca Server is organized around set retrieval, which means that it looks at groups of results (all the documents that match a search), as well as the relationship of each individual result to the set. Other approaches only compute the relevance of a document by comparing the document to the search query – not by comparing the document to all the others. For example, a search for “U.S.” in another approach might match to the title of a document and get a high ranking. But what if it were a collection of government documents in which “U.S.” appeared in many titles, making that clue less meaningful? A set analysis would reveal this and be used to adjust relevance accordingly. The Endeca Server Supports Second-Order Relvance. Unlike simple search interfaces in traditional BI tools, which provide limited relevance ranking, such as a list of results based on key word matching, Endeca enables users to determine the most salient terms to divide up the result. Determining this second-order relevance is the key to providing effective guidance. Support for Queries and Filters. Search is the most common query type, but hardly complete, and users need to express a wide range of queries. Oracle Endeca Information Discovery also includes navigation, interactive visualizations, analytics, range filters, geospatial filters, and other query types that are more commonly associated with BI tools. Unlike other approaches, these queries operate across structured, semi-structured and unstructured content stored in the Endeca Server. Furthermore, this set is easily extensible because the core engine allows for pluggable features to be added. Like a search engine, queries are answered with a results list, ranked to put the most likely matches first. Unlike “black box” relevance solutions, which generalize one strategy for everyone, we believe that optimal relevance strategies vary across domains. Therefore, it provides line-of-business owners with a set of relevance modules that let them tune the best results based on their content. The Endeca Server query result sets are summarized, which gives users guidance on how to refine and explore further. Summaries include Guided Navigation® (a form of faceted search), maps, charts, graphs, tag clouds, concept clusters, and clarification dialogs. Users don’t explicitly ask for these summaries; Oracle Endeca Information Discovery analytic applications provide the right ones, based on configurable controls and rules. For example, the analytic application might guide a procurement agent filtering for in-stock parts by visualizing the results on a map and calculating their average fulfillment time. Furthermore, the user can interact with summaries and filters without resorting to writing complex SQL queries. The user can simply just click to add filters. Within Oracle Endeca Information Discovery, all parts of the summaries are clickable and searchable. We are living in a search driven society where business users really seem to enjoy entering information into a search box. We do this everyday as consumers and therefore, we have gotten used to looking for that box. However, the key to getting the right results is to guide that user in a way that provides additional Discovery, beyond what they may have anticipated. This is why these important and advanced features of search inside the Endeca Server have been so important. They have helped to guide our great customers to success. 

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• New Feature in ODI 11.1.1.6: ODI for Big Data

  - by Julien Testut

  Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} By Ananth Tirupattur Starting with Oracle Data Integrator 11.1.1.6.0, ODI is offering a solution to process Big Data. This post provides an overview of this feature. With all the buzz around Big Data and before getting into the details of ODI for Big Data, I will provide a brief introduction to Big Data and Oracle Solution for Big Data. So, what is Big Data? Big data includes: structured data (this includes data from relation data stores, xml data stores), semi-structured data (this includes data from weblogs) unstructured data (this includes data from text blob, images) Traditionally, business decisions are based on the information gathered from transactional data. For example, transactional Data from CRM applications is fed to a decision system for analysis and decision making. Products such as ODI play a key role in enabling decision systems. However, with the emergence of massive amounts of semi-structured and unstructured data it is important for decision system to include them in the analysis to achieve better decision making capability. While there is an abundance of opportunities for business for gaining competitive advantages, process of Big Data has challenges. The challenges of processing Big Data include: Volume of data Velocity of data - The high Rate at which data is generated Variety of data In order to address these challenges and convert them into opportunities, we would need an appropriate framework, platform and the right set of tools. Hadoop is an open source framework which is highly scalable, fault tolerant system, for storage and processing large amounts of data. Hadoop provides 2 key services, distributed and reliable storage called Hadoop Distributed File System or HDFS and a framework for parallel data processing called Map-Reduce. Innovations in Hadoop and its related technology continue to rapidly evolve, hence therefore, it is highly recommended to follow information on the web to keep up with latest information. Oracle's vision is to provide a comprehensive solution to address the challenges faced by Big Data. Oracle is providing the necessary Hardware, software and tools for processing Big Data Oracle solution includes: Big Data Appliance Oracle NoSQL Database Cloudera distribution for Hadoop Oracle R Enterprise- R is a statistical package which is very popular among data scientists. ODI solution for Big Data Oracle Loader for Hadoop for loading data from Hadoop to Oracle. Further details can be found here: http://www.oracle.com/us/products/database/big-data-appliance/overview/index.html ODI Solution for Big Data: ODI’s goal is to minimize the need to understand the complexity of Hadoop framework and simplify the adoption of processing Big Data seamlessly in an enterprise. ODI is providing the capabilities for an integrated architecture for processing Big Data. This includes capability to load data in to Hadoop, process data in Hadoop and load data from Hadoop into Oracle. ODI is expanding its support for Big Data by providing the following out of the box Knowledge Modules (KMs). IKM File to Hive (LOAD DATA).Load unstructured data from File (Local file system or HDFS ) into Hive IKM Hive Control AppendTransform and validate structured data on Hive IKM Hive TransformTransform unstructured data on Hive IKM File/Hive to Oracle (OLH)Load processed data in Hive to Oracle RKM HiveReverse engineer Hive tables to generate models Using the Loading KM you can map files (local and HDFS files) to the corresponding Hive tables. For example, you can map weblog files categorized by date into a corresponding partitioned Hive table schema. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Using the Hive control Append KM you can validate and transform data in Hive. In the below example, two source Hive tables are joined and mapped to a target Hive table. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} The Hive Transform KM facilitates processing of semi-structured data in Hive. In the below example, the data from weblog is processed using a Perl script and mapped to target Hive table. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Using the Oracle Loader for Hadoop (OLH) KM you can load data from Hive table or HDFS to a corresponding table in Oracle. OLH is available as a standalone product. ODI greatly enhances OLH capability by generating the configuration and mapping files for OLH based on the configuration provided in the interface and KM options. ODI seamlessly invokes OLH when executing the scenario. In the below example, a HDFS file is mapped to a table in Oracle. Development and Deployment:The following diagram illustrates the development and deployment of ODI solution for Big Data. Using the ODI Studio on your development machine create and develop ODI solution for processing Big Data by connecting to a MySQL DB or Oracle database on a BDA machine or Hadoop cluster. Schedule the ODI scenarios to be executed on the ODI agent deployed on the BDA machine or Hadoop cluster. ODI Solution for Big Data provides several exciting new capabilities to facilitate the adoption of Big Data in an enterprise. You can find more information about the Oracle Big Data connectors on OTN. You can find an overview of all the new features introduced in ODI 11.1.1.6 in the following document: ODI 11.1.1.6 New Features Overview

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• How do I learn Python from zero to web development? [closed]

  - by Terence Ponce

  I am looking into learning Python for web development. Assuming I already have some basic web development experience with Java (JSP/Servlets), I'm already familiar with web design (HTML, CSS, JS), basic programming concepts and that I am completely new to Python, how do I go about learning Python in a structured manner that will eventually lead me to web development with Python and Django? I'm not in a hurry to make web applications in Python so I really want to learn it thoroughly so as not to leave any gaps in my knowledge of the technologies involving web development in Python. Are there any books, resource or techniques to help me in my endeavor? In what order should I do/read them? UPDATE: When I say learning in a structured manner, I mean starting out from the basics then learning the advanced stuff without leaving some of the important details/features that Python has to offer. I want to know how to apply the things that I already know in programming to Python.

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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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• Big Data Appliance

  - by David Dorf

  Today Oracle announced the next release of it's Big Data Appliance, an engineered system composed of hardware and software targeting the efficient processing of big data.  The solution leverages 288 Intel cores running Cloudera's distribution of Apache Hadoop in 1.1 TB of main memory.  This monster helps companies acquire, organize, and analyze large volumes of structured and un-structured data. Additionally a new versions of the Oracle Big Data Connectors and Oracle NoSQL Database were released. Why is this important to retailers?  As the infographic below conveys, mobile and social have added even more data to the already huge collections of POS transactions and e-commerce weblogs.  Retailers know that mining that data will help them make better decisions that lead to increased sales, better customer service, and ultimately a successful retail business. Monetate

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• Google not recognizing microdata? [duplicate]

  - by user1795832

  This question already has an answer here: How long for data highlighter mark up to appear in structured data tool? 2 answers I put in microdata to one page of a site I help manage using schema.org. Using the Google webmaster tool test, the page checks out and displays what it sees as the microdata properly. But when I go to the Structured Data page in webmaster tools, it keeps saying the site does not have any. I put it in 2 weeks ago. Us it just something that take a while for it to recognize? Or does microdata have to be on every page for it to be recognized or something?

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• Authorship-verified website not included in "Author Stats" of Google Webmaster Tools?

  - by Yosi Mor

  In Google Webmaster Tools, is it normal for a website for which the Structured Data Testing Tool shows that "Authorship is working for this webpage" -- to not be listed in the "Author Stats" section (under "Labs")? I already understand that successful verification using the Structured Data Testing Tool does not guarantee that Google will actually display authorship in the SERPs, and that Google decides this at its own discretion. However, shouldn't such successful verification at least guarantee that the website is included in the "Author Stats" section (which purportedly covers "pages for which you are the verified author")? I would have assumed that, if Google is not yet displaying authorship for that site, it would show both its Impressions and Clicks as being "<10". Are my assumptions incorrect?

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• Win32 Exceptions – OS Level Point of View

  Describes the Win32 exception layering and discusses structured exceptions handling (SEH) on OS level and on C++ compiler level.

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• Windows Azure Recipe: Social Web / Big Media

  - by Clint Edmonson

  With the rise of social media there’s been an explosion of special interest media web sites on the web. From athletics to board games to funny animal behaviors, you can bet there’s a group of people somewhere on the web talking about it. Social media sites allow us to interact, share experiences, and bond with like minded enthusiasts around the globe. And through the power of software, we can follow trends in these unique domains in real time. Drivers Reach Scalability Media hosting Global distribution Solution Here’s a sketch of how a social media application might be built out on Windows Azure: Ingredients Traffic Manager (optional) – can be used to provide hosting and load balancing across different instances and/or data centers. Perfect if the solution needs to be delivered to different cultures or regions around the world. Access Control – this service is essential to managing user identity. It’s backed by a full blown implementation of Active Directory and allows the definition and management of users, groups, and roles. A pre-built ASP.NET membership provider is included in the training kit to leverage this capability but it’s also flexible enough to be combined with external Identity providers including Windows LiveID, Google, Yahoo!, and Facebook. The provider model has extensibility points to hook into other identity providers as well. Web Role – hosts the core of the web application and presents a central social hub users. Database – used to store core operational, functional, and workflow data for the solution’s web services. Caching (optional) – as a web site traffic grows caching can be leveraged to keep frequently used read-only, user specific, and application resource data in a high-speed distributed in-memory for faster response times and ultimately higher scalability without spinning up more web and worker roles. It includes a token based security model that works alongside the Access Control service. Tables (optional) – for semi-structured data streams that don’t need relational integrity such as conversations, comments, or activity streams, tables provide a faster and more flexible way to store this kind of historical data. Blobs (optional) – users may be creating or uploading large volumes of heterogeneous data such as documents or rich media. Blob storage provides a scalable, resilient way to store terabytes of user data. The storage facilities can also integrate with the Access Control service to ensure users’ data is delivered securely. Content Delivery Network (CDN) (optional) – for sites that service users around the globe, the CDN is an extension to blob storage that, when enabled, will automatically cache frequently accessed blobs and static site content at edge data centers around the world. The data can be delivered statically or streamed in the case of rich media content. Training These links point to online Windows Azure training labs and resources where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure (16 labs) Windows Azure is an internet-scale cloud computing and services platform hosted in Microsoft data centers, which provides an operating system and a set of developer services which can be used individually or together. It gives developers the choice to build web applications; applications running on connected devices, PCs, or servers; or hybrid solutions offering the best of both worlds. New or enhanced applications can be built using existing skills with the Visual Studio development environment and the .NET Framework. With its standards-based and interoperable approach, the services platform supports multiple internet protocols, including HTTP, REST, SOAP, and plain XML 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. Windows Azure Services (9 labs) As applications collaborate across organizational boundaries, ensuring secure transactions across disparate security domains is crucial but difficult to implement. Windows Azure Services provides hosted authentication and access control using powerful, secure, standards-based infrastructure. 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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• Requesting feedback on my OO design

  - by Prog

  I'm working on an application that creates music by itself. I'm seeking feedback for my OO design so far. This question will focus on one part of the program. The application produces Tune objects, that are the final musical products. Tune is an abstract class with an abstract method play. It has two subclasses: SimpleTune and StructuredTune. SimpleTune owns a Melody and a Progression (chord sequence). It's play implementation plays these two objects simultaneously. StructuredTune owns two Tune instances. It's own play plays the two Tunes one after the other according to a pattern (currently only ABAB). Melody is an abstract class with an abstract play method. It has two subclasses: SimpleMelody and StructuredMelody. SimpleMelody is composed of an array of notes. Invoking play on it plays these notes one after the other. StructuredMelody is composed of an array of Melody objects. Invoking play on it plays these Melodyies one after the other. I think you're starting to see the pattern. Progression is also an abstract class with a play method and two subclasses: SimpleProgression and StructuredProgression, each composed differently and played differently. SimpleProgression owns an array of chords and plays them sequentially. StructuredProgression owns an array of Progressions and it's play implementation plays them sequentially. Every class has a corresponding Generator class. Tune, Melody and Progression are matched with corresponding abstract TuneGenerator, MelodyGenerator and ProgressionGenerator classes, each with an abstract generate method. For example MelodyGenerator defines an abstract Melody generate method. Each of the generators has two subclasses, Simple and Structured. So for example MelodyGenerator has a subclasses SimpleMelodyGenerator, with an implementation of generate that returns a SimpleMelody. (It's important to note that the generate methods encapsulate complex algorithms. They are more than mere factory method. For example SimpleProgressionGenerator.generate() implements an algorithm to compose a series of Chord objects, which are used to instantiate the returned SimpleProgression). Every Structured generator uses another generator internally. It is a Simple generator be default, but in special cases may be a Structured generator. Parts of this design are meant to allow the end-user through the GUI to choose what kind of music is to be created. For example the user can choose between a "simple tune" (SimpleTuneGenerator) and a "full tune" (StructuredTuneGenerator). Other parts of the system aren't subject to direct user-control. What do you think of this design from an OOD perspective? What potential problems do you see with this design? Please share with me your criticism, I'm here to learn. Apart from this, a more specific question: the "every class has a corresponding Generator class" part feels very wrong. However I'm not sure how I could design this differently and achieve the same flexibility. Any ideas?

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• Join us on our Journey to be #1 in SaaS!

  - by jessica.ebbelaar(at)oracle.com

  WHY ORACLE? Oracle is a robust organization that has proven to maintain growth and innovation at all levels with a constant evolving attitude. The main ingredient of Oracles success is the 105.000 talented employees who constantly amaze each other in building a better and more innovative organization. Oracle is a company where YOU can make a difference. What is OD? Oracle Direct is a state-of-the-art, multi-channel EMEA sales operation bringing to life the benefits of Oracle’s complete technology stack. It offers you the unique opportunity to work with the most talented and like-minded sales professionals in the industry.  You will have access to world class training and structured career development programmes allowing you to accelerate your Solution Sales career across a multitude of product lines and a choice of attractive locations. What positions are OD Hiring?   Oracle is on a journey to be the #1 SaaS vendor in EMEA.  Due to recent expansion and acquisitions within our Cloud Business, we are now growing our EMEA Cloud Applications Sales Group in Dublin. We have many exciting NEW opportunities across our CRM and HCM SaaS Sales teams. As a SaaS Sales Account Manager, you will proactively manage an assigned territory / vertical with responsibility for the full sales cycle. This role requires strong business development, solution selling, account management and closing skills. WHY ORACLE? Oracle is a robust organization that has proven to maintain growth and innovation at all levels with a constant evolving attitude. The main ingredient of Oracles success is the 105.000 talented employees who constantly amaze each other in building a better and more innovative organization. Oracle is a company where YOU can make a difference. What is OD? Oracle Direct is a state-of-the-art, multi-channel EMEA sales operation bringing to life the benefits of Oracle’s complete technology stack. It offers you the unique opportunity to work with the most talented and like-minded sales professionals in the industry.  You will have access to world class training and structured career development programmes allowing you to accelerate your Solution Sales career across a multitude of product lines and a choice of attractive locations. What positions are OD Hiring? Oracle is on a journey to be the #1 SaaS vendor in EMEA.  Due to recent expansion and acquisitions within our Cloud Business, we are now growing our EMEA Cloud Applications Sales Group in Dublin. We have many exciting NEW opportunities across our CRM and HCM SaaS Sales teams. As a SaaS Sales Account Manager, you will proactively manage an assigned territory / vertical with responsibility for the full sales cycle. This role requires strong business development, solution selling, account management and closing skills. What is the Business Development Group (BDG) The Business Development Group is the key entry point in Oracle for the future Sales and Management talent of the organisation. We are the Demand Generation engine for Oracle in EMEA. We provide revenue generating, quality sales pipeline to our Inside and Field Sales professionals as well as to our Channel Partners. Our current focus is to provide an agile and flexible service offering to our customers and stakeholders to meet ever changing business needs, whilst constantly striving to improve the customer experience, quality of our pipeline, market coverage and penetration. As a SaaS Business Development Consultant (BDC) you will be the first touch point with new customers. Your goal is to proactively identify and qualify business opportunities leading to revenue for Oracle. You will work closely with your Inside Sales colleagues who will progress your qualified pipeline and opportunities. Work for us Work for the only multi-pillar SaaS vendor in the market Be part of a FUN, fast paced and truly International sales team  Develop you solution sales EXPERTISE Drive your CAREER development within a structured and supportive environment The Profile You have a passion for selling cutting-edge technology You thrive in a fast paced and dynamic work environment where being the best is paramount Your priority is always the customer You live for a challenge and you love to win Join us on our Journey to be #1 in SaaS and be part of our Cloud Success Story! You will find more information about open roles here

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• Need a tool to search large structure text documents for words, phrases and related phrases

  - by pitosalas

  I have to keep up with structured documents containing things such as requests for proposals, government program reports, threat models and all kinds of things like that. They are in techno-legalese as I would call them: highly structured, with section numbering and 3, 4 and 5 levels of nesting. All in English I need a more efficient way to locate those paragraphs of nuggets that matter to me. So what I’d like is kind of a local document index/repository, that would allow me to have some standing queries and easily locate sections in documents that talk about my queries. Here’s an example: I’d like to load in 10 large PDF files, each of say 100 pages. Each PDF contains English text, formatted very nicely into paragraphs and sections. I’d like to specify that I am interested in “blogging platforms”, “weaknesses in Ruby”, “localization and internationalization” Ideally then look at a list that showed the section of text, the name of the document, and other information that seemed to be related to and/or include the words and phrases I specified. I am sure something like this exists. I would call it something like document indexing, document comprehension or structured searching.

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• nTop RRD file architecture

  - by Seanny123

  I have a gig of nTop RRD files and I would like to start graphing them with rrdtool (but not with nTop, since I'm hoping to do this with a separate backup of the database as workaround to the impossibility of limiting the RRD files by size), but I don't know how the files are structured. I've tried reading the RRD documentation from SourceForge and the nTop FAQ, but I'm not finding the information I need. Does anyone know of any documentation I should be looking at or how the files are structured? Here https://dl.dropbox.com/u/669437/file%20structure.png is a screenshot of the file structure. At first I thought it was organized by IP address (so the rrd files for address 1.1.2.3 would be stored in folder 1-1-2-3 or even the reverse order), but that doesn't seem to be the case. It isn't organized by MAC address either, although some hosts are saved that way. Any help would be appreciated.

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• How can I scrape specific data from a website

  - by Stoney

  I'm trying to scrape data from a website for research. The urls are nicely organized in an example.com/x format, with x as an ascending number and all of the pages are structured in the same way. I just need to grab certain headings and a few numbers which are always in the same locations. I'll then need to get this data into structured form for analysis in Excel. I have used wget before to download pages, but I can't figure out how to grab specific lines of text. Excel has a feature to grab data from the web (Data-From Web) but from what I can see it only allows me to download tables. Unfortunately, the data I need is not in tables.

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• Use Excel Table Column in ComboBox Input Range property

  - by V7L

  I asked this in StackOverflow and was redirected here. Apologies for redundancy. I have an Excel worksheet with a combo box on Sheet1 that is populated via its Input Range property from a Dynamic Named Range on Sheet2. It works fine and no VBA is required. My data on Sheet2 is actually in an Excel Table (all data is in the XLS file, no external data sources). For clarity, I wanted to use a structured table reference for the combo box's Input Range, but cannot seem to find a syntax that works, e.g. myTable[[#Data],[myColumn3]] I cannot find any indications that the combo box WILL accept structured table references, though I cannot see why it wouldn't. So, two part question: 1. Is is possible to use a table column reference in the combo box input range property (not using VBA) and 2. HOW?

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• We Convert your PSD into Xhtml

  - by Aditi

  From last few months we have been receiving a lot of inquires for  Psd into Xhtml projects, while we were majorly focusing on custom WordPress, Magento, Drupal & Joomla Projects. Now we are offering PSD into Xhtml/CSS service at an affordable price looking at its demand. We also will cater PSD into any CMS, like wordpress, Drupal, Magento or Joomla. Our custom services will continue as it is. It is very convenient to get your design converted by our Xhtml & CSS experts. We assure 24 hour delivery time. At JustSkins, we have a structured conversion model that works well for any kind of potentially enriched web business solution. Our customized slicing guidelines, besides, W3C approved XHTML and CSS code naming conventions makes us stand distinct from the competitors. Why Should You Let us do it for you? W3C Compliant HTML/XHTML and CSS Codes Well Structured and Written Code. Clean and Hand Coded Mark up no use of WYSIWYG. We offer Fast turn around timeDesign converted into Xhtml/CSS just in one business day. Multi- Browser Accessible Websites Cross-Platform Support. Excellent Customer Service. Affordable We at JustSkins are team of efficient programmers with vast experience in templating for   content management systems (CMS),  Joomla, Drupal, WordPress and other Open Source technologies. Contact us today for your requirement!

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• 10 Useful CSS Tips And Tutorials

  - by Jyoti

  CSS is a technology that web designers use everyday, but yet it is something that most struggle with as well. Whether it’s keeping stylesheets for large sites manageable or creating image effects that are cross browser compatible, there are plenty of things to cause frustration. This article is an attempt to provide you with a few resources that might help you with your CSS or introduce you to a few tricks you didn’t know about. Organizing Your Stylesheet Using CSS Edit: Rob Soule of Viget Labs shows you how to organize your style sheets using CSS Edit, a powerful CSS editor built exclusively for the mac. Tips For Organizing Your CSS: A set of practical tips for organizing your style sheets. Write A Well Structured CSS File: A detailed and well written post about how to write a well structured CSS file. Expandable CSS Tabs Tutorials: A tutorial on creating expandable CSS tabs. Simple Round CSS Buttons: Learn how to create rounded corner buttons with only One Image and One CSS file. Beautiful CSS Buttons With Icons Set: Learn how to create a clean set of buttons with CSS and an icon set. Scalable CSS Buttons Using PNG And Background Colors: Create Resizing Thumbnails Using Overflow Property: Learn how to create a cool resizing thumbnail effect. CSS Decorative Gallery: Decorate your images and photo galleries without editing the source images. Placing Text Over Image Using CSS Position Property: A simple technique for placing text over an image.

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• Formalizing a requirements spec written in narrative English

  - by ProfK

  I have a fairly technical functionality requirements spec, expressed in English prose, produced by my project manager. It is structured as a collection of UI tabs, where the requirements for each tab are expressed as a lit of UI fields and a list of business rules for the tab. Most business rules are for UI fields on a tab, e.g: a) Must be alphanumeric, max length 20. b) Must be a dropdown, with values from table x. c) Is mandatory. d) Is mandatory under certain conditions, e.g. another field is just populated, or has a specific value. Then other business rules get a little more complex. The spec is for a job application, so the central business object (table) is the Applicant, and we have several other tables with one-to-many relationships with applicant, such as Degree, HighSchool, PreviousEmployer, Diploma, etc. e) One such complex rule says a status field can only be assigned a certain value if a many-side record exists in at least one of the many-side tables. E.g. the Applicant has at least one HighSchool or at least one Diploma record. I am looking for advice on how to codify these requirements into a more structured specification defined in terms of tables, fields, and relationships, especially for the conditional rules for fields and for the presence of related records. Any suggestions and advice will be most welcome, but I would be overjoyed if i could find an already defined system or structure for expressing things like this.

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• Codifying a natural language requirements spec

  - by ProfK

  I have a fairly technical functionality requirements spec, expressed in English prose, produced by my project manager. It is structured as a collection of UI tabs, where the requirements for each tab are expressed as a lit of UI fields and a list of business rules for the tab. Most business rules are for UI fields on a tab, e.g: a) Must be alphanumeric, max length 20. b) Must be a dropdown, with values from table x. c) Is mandatory. d) Is mandatory under certain conditions, e.g. another field is just populated, or has a specific value. Then other business rules get a little more complex. The spec is for a job application, so the central business object (table) is the Applicant, and we have several other tables with one-to-many relationships with applicant, such as Degree, HighSchool, PreviousEmployer, Diploma, etc. e) One such complex rule says a status field can only be assigned a certain value if a many-side record exists in at least one of the many-side tables. E.g. the Applicant has at least one HighSchool or at least one Diploma record. I am looking for advice on how to codify these requirements into a more structured specification defined in terms of tables, fields, and relationships, especially for the conditional rules for fields and for the presence of related records. Any suggestions and advice will be most welcome, but I would be overjoyed if i could find an already defined system or structure for expressing things like this.

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