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  • links for 2010-04-27

    - by Bob Rhubart
    @oracletechnet: Oracle Technology Network Newsletters Revisited "You may find this hard to believe, but some analysts contend that email newsletters are still among the most preferred methods of "information awareness" by developers today. And in our experience, the numbers back it up: subscriptions to Oracle Technology Network newsletters grow organically by 15% every year, even after you take continual list cleanup into account. " -- Justin Kestelyn (tags: oracle otn newsletters developers architects) Sylvain Duloutre: Directory Services as a Web Service Sylvain Duloutre shares a WSDL file he created to deal with issues involved in XML binding generation. (tags: oracle sun wsdl webservices DSEE netbeans jdeveloper) Nick Wooler: Iron-Clad Cloud: Secure Cloud Computing "One solution to the security problem with cloud services can be overcome using Service Oriented Security. The Oracle approach to using Service Oriented Security allows developers to pull from a centralized, authoritative source of identity services. This allows developers to build security into every application from the inside-out. This is critical to ensuring this is done in a standardized manner and most importantly it allows developers to develop without being security experts." -- Nick Wooler (tags: oracle sun security cloud saas) Andy Mulholland: A week of visits; Cisco, HP, Oracle, SAP and VMware (in alphabetical order!) "I now am considering that we should be thinking about ‘clouds’ in virtual way, by which I mean that a succession of virtual ‘clouds’ will need to exist, each possessing specific characteristics that suit certain types of services. Really it’s no different to what we see with servers today. Adding a hypervisor to a server adds new flexibility, but creating a virtualised environment means much more. What I suspect will happen is that we will start to use vendor specific approaches to building what I will term a physical cloud solution using their technology and approach to supporting a specific objective, but with time we will find these physical clouds will interoperate as a fully virtualised cloud environment." -- Andy Mulholland (tags: entarch enterprisearchitecture cloudcomputing virtualization) @fteter: Highlights From The Bright Lights - Tuesday #c10 Oracle Ace Director Floyd Teter of JPL with one last wrap-up of Collaborate 10. (tags: oracle otn collaborate2010 las vegas) Rittman Mead India – Call for very good Oracle BI Developers/Architects "Now that we have an office in India and if you are interested in joining us, do drop us a line at [email protected], and we will be glad to have technical discussions with you. If you are also an Oracle BI, DW or EPM customer looking for help on projects in the Asia-Pacific region, again we’ll be pleased to hear from you and to let you know how we can help." -- Venkatakrishnan J (tags: otn oracle jobs india developers architects software)

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  • Customization: It’s Wanted in Enterprise Tech Platforms Too

    - by Mike Stiles
    Did you know that every customer service person does their job the exact same way in every business organization?  And did you know that every business organization cares about the exact same metrics? I hope not, because both those things couldn’t be farther from the truth. And if there are different needs and approaches in different enterprises, it stands to reason technology platforms must become increasingly customizable. Oracle Social Cloud sees that coming and is doing something about it, at least in terms of social media management. Today we introduce Social Station, a customizable user experience workspace within the Oracle Social Relationship Management (SRM) platform. We think a lot about customer-centricity and customer experience around here, and we know our own customers are ready to start moving forward in being able to set up their work environments in the ways that work best for them. That kind of thing increases productivity, helps deliver on social objectives faster, and generally just makes life more pleasant. A recent IDG Enterprise report says that enterprises currently investing in more consumerized, easy-to-use technologies experience a 56% increase in employee productivity and a 46% increase in customer satisfaction. Imagine that. When you make it easier and more pleasant for employees to help customers, more customers get helped and everyone ends up happier. So what does this Social Station do and what does it mean, exactly? It’s an innovative move to take some pretty high-end tech (take a bow developers) and simplify it, making things more intuitive: Drag and drop lets you easily build out and personalize your social workspace with different modules. The new Custom Analytics module can mix and match over 120 metrics with thousands of customizable reporting options. You can check constantly refreshed updates and keep a real-time eye on the numbers you’re trying to move. One-click sharing and annotation in the Custom Analytics module improves sharing and collaboration across teams, departments and executives. Multi-view layout helps you leverage social insights by letting you monitor conversations by network, stream, metric, graph type, date range, and relative time period. The Enhanced Calendar is a better visual representation of content, posts, networks and views, letting you easily toggle between functions and views. The Oracle Social Station sets us up to always be developing & launching additional social modules for you, covering areas like content curation, influencer engagement, and command center creation. Oracle Social Cloud Group VP Meg Bear says, “Consumers today have high expectations of their technology application capabilities and usability, and those expectations don’t stop when they enter their workplaces.” In other words, internal enterprise technology platforms must reflect the personalization and customization being called for in consumer products and marketing. “One size fits all” is becoming an endangered concept. @mikestiles @oraclesocial

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  • How To Change The Screen Resolution in C#

    - by SAMIR BHOGAYTA
    All programmers are facing common problem is how to change screen Resolution dynamically. In .Net 2005 it's very easy to change the screen resolution. Here We will explain you how can we get the Screen resolution and how we will change the resolution at dynamically and while unloading the page it will come as it was before. In dot net we can access the values of user's screen resolution through the Resolution class. It also affects all running (and minimized) programs. Page_Load Function Screen Srn = Screen.PrimaryScreen; tempHeight = Srn.Bounds.Width; tempWidth = Srn.Bounds.Height; Page.ClientScript.RegisterStartupScript (this.GetType(), "Error", "alert('" + "Your Current Resolution is = " + tempHeight + " * " + tempWidth + "');"); //if you want Automatically Change res.at page load. //please uncomment this code. if (tempHeight == 600)//if the system is 800*600 Res.then change to { FixHeight = 768; FixWidth = 1024; Resolution.CResolution ChangeRes = new Resolution.CResolution(FixHeight, FixWidth); } Change Resoultion in C# switch (cboRes.SelectedValue.ToString()) { case "800*600": FixHeight = 800; FixWidth = 600; Resolution.CResolution ChangeRes600 = new Resolution.CResolution(FixHeight, FixWidth); break; case "1024*768": FixHeight = 1024; FixWidth = 768; Resolution.CResolution ChangeRes768 = new Resolution.CResolution(FixHeight, FixWidth); break; case "1280*1024":How To Change The Screen Resolution in C# FixHeight = 1280; FixWidth = 1024; Resolution.CResolution ChangeRes1024 = new Resolution.CResolution(FixHeight, FixWidth); break; }

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  • Big Data – Role of Cloud Computing in Big Data – Day 11 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the NewSQL. In this article we will understand the role of Cloud in Big Data Story What is Cloud? Cloud is the biggest buzzword around from last few years. Everyone knows about the Cloud and it is extremely well defined online. In this article we will discuss cloud in the context of the Big Data. Cloud computing is a method of providing a shared computing resources to the application which requires dynamic resources. These resources include applications, computing, storage, networking, development and various deployment platforms. The fundamentals of the cloud computing are that it shares pretty much share all the resources and deliver to end users as a service.  Examples of the Cloud Computing and Big Data are Google and Amazon.com. Both have fantastic Big Data offering with the help of the cloud. We will discuss this later in this blog post. There are two different Cloud Deployment Models: 1) The Public Cloud and 2) The Private Cloud Public Cloud Public Cloud is the cloud infrastructure build by commercial providers (Amazon, Rackspace etc.) creates a highly scalable data center that hides the complex infrastructure from the consumer and provides various services. Private Cloud Private Cloud is the cloud infrastructure build by a single organization where they are managing highly scalable data center internally. Here is the quick comparison between Public Cloud and Private Cloud from Wikipedia:   Public Cloud Private Cloud Initial cost Typically zero Typically high Running cost Unpredictable Unpredictable Customization Impossible Possible Privacy No (Host has access to the data Yes Single sign-on Impossible Possible Scaling up Easy while within defined limits Laborious but no limits Hybrid Cloud Hybrid Cloud is the cloud infrastructure build with the composition of two or more clouds like public and private cloud. Hybrid cloud gives best of the both the world as it combines multiple cloud deployment models together. Cloud and Big Data – Common Characteristics There are many characteristics of the Cloud Architecture and Cloud Computing which are also essentially important for Big Data as well. They highly overlap and at many places it just makes sense to use the power of both the architecture and build a highly scalable framework. Here is the list of all the characteristics of cloud computing important in Big Data Scalability Elasticity Ad-hoc Resource Pooling Low Cost to Setup Infastructure Pay on Use or Pay as you Go Highly Available Leading Big Data Cloud Providers There are many players in Big Data Cloud but we will list a few of the known players in this list. Amazon Amazon is arguably the most popular Infrastructure as a Service (IaaS) provider. The history of how Amazon started in this business is very interesting. They started out with a massive infrastructure to support their own business. Gradually they figured out that their own resources are underutilized most of the time. They decided to get the maximum out of the resources they have and hence  they launched their Amazon Elastic Compute Cloud (Amazon EC2) service in 2006. Their products have evolved a lot recently and now it is one of their primary business besides their retail selling. Amazon also offers Big Data services understand Amazon Web Services. Here is the list of the included services: Amazon Elastic MapReduce – It processes very high volumes of data Amazon DynammoDB – It is fully managed NoSQL (Not Only SQL) database service Amazon Simple Storage Services (S3) – A web-scale service designed to store and accommodate any amount of data Amazon High Performance Computing – It provides low-tenancy tuned high performance computing cluster Amazon RedShift – It is petabyte scale data warehousing service Google Though Google is known for Search Engine, we all know that it is much more than that. Google Compute Engine – It offers secure, flexible computing from energy efficient data centers Google Big Query – It allows SQL-like queries to run against large datasets Google Prediction API – It is a cloud based machine learning tool Other Players Besides Amazon and Google we also have other players in the Big Data market as well. Microsoft is also attempting Big Data with the Cloud with Microsoft Azure. Additionally Rackspace and NASA together have initiated OpenStack. The goal of Openstack is to provide a massively scaled, multitenant cloud that can run on any hardware. Thing to Watch The cloud based solutions provides a great integration with the Big Data’s story as well it is very economical to implement as well. However, there are few things one should be very careful when deploying Big Data on cloud solutions. Here is a list of a few things to watch: Data Integrity Initial Cost Recurring Cost Performance Data Access Security Location Compliance Every company have different approaches to Big Data and have different rules and regulations. Based on various factors, one can implement their own custom Big Data solution on a cloud. Tomorrow In tomorrow’s blog post we will discuss about various Operational Databases supporting Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Getting Started With nServiceBus on VAN Mar 31

    - by van
    Topic: nServiceBus is mature and powerful open source framework that enables to design robust, scalable, message-based, service-oriented architectures. Latest improvements in the configuration API enables developers to quickly get started and build a working simple system that uses messaging infrastructure. The goal of this session is to give a jump start with the framework, introduce basic concepts such as message handlers, Sagas, Pub/Sub, Generic Host and also create a working demo application that uses publish/subscribe messaging. The content of the session is addressed to developers that are interested in learning how to get started using nServiceBus in order to design and build distributed systems. Bio: Bernard Kowalski is currently a Software Developer at Microdesk, one of Autodesk's leading partners in providing variety of Geospatial and Computer-Aided Design solutions. Bernard has experience developing .NET framework-based applications utilizing Windows Forms, Windows Services, ASP.NET MVC, and Web services. In a recent project, Bernard architected and implemented a distributed system based on SOA principles using an open source implementation of an Enterprise Service Bus. Bernard develops software with Agile patterns and practices using Domain Driven Design combined with TDD (Test Driven Development). He is familiar with all of the following APIs: Autodesk Vault/Product Stream API, AutoCAD ActiveX/VBA/.NET API, AutoCAD Mechanical API, Autodesk Inventor API, Autodesk MapGuide Enterprise. Prior to joining Microdesk, Bernard worked as a researcher and teacher at the University of Science and Technology in Krakow, Poland where he was awarded with a PhD in Computer Methods in Materials Science. He also participated in research projects where he developed applications for analysis of hot compression test results using advanced optimization techniques. He also developed Finite Element Method-based programs for thermal and stress analysis using C++ and FORTRAN. Bernard is a member of the Domain Driven Design and ALT.NET user groups in NYC. Virtual ALT.NET (VAN) is the online gathering place of the ALT.NET community. Through conversations, presentations, pair programming and dojos, we strive to improve, explore, and challenge the way we create software. Using net conferencing technology such as Skype and LiveMeeting, we hold regular meetings, open to anyone, usually taking the form of a presentation or an Open Space Technology-style conversation. Please see the Calendar(http://www.virtualaltnet.com/Home/Calendar) to find a VAN group that meets at a time convenient to you, and feel welcome to join a meeting. Past sessions can be found on the Recording page. To stay informed about VAN activities, you can subscribe to the Virtual ALT.NET Google Group and follow the Virtual ALT.NET blog. Times below are Central Standard Time Start Time: Wed, Mar 31, 2010 8:00 PM UTC/GMT -5 hours End Time: Wed, Mar 31, 2010 10:00 PM UTC/GMT -5 hours Attendee URL: http://www.virtualaltnet.com/van Zach Young http://www.virtualaltnet.com

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  • Introducing the Oracle MDM Blog - Why All MDM Solutions Aren't Equal

    - by ken.pulverman
    Welcome to the Oracle MDM Blog.  Dave Butler, Tony Ouk, and myself - Ken Pulverman, will be bringing you news and information from the world of MDM at Oracle.  Dave is our resident expert with more than 30 years of experience in data and information management. Tony has deep expertise in our Exadata product line which provides a strong hardware synergy with MDM.  I come from Siebel Systems where I helped found the team that built our integration product line and then our Universal Customer Master with is part of our MDM offering at Oracle. I thought I'd hit the ground running with a topic we are going to want to continue to bend your ear about.  We had a recent meeting with Ford Goodman, our head of MDM commercial sales in the US and he was very fired up about and important topic.  He's irked that all MDM solutions get painted with the same brush even though they aren't the same at all. There are companies out there trying to represent frameworks and toolkits as out of the box solutions.  They give you the pleasure (read pain) of doing things like developing your own multi-application data model, building your own web services, or creating your own APIs.  Huh?  What gets sold as flexibility in reality is a barrier to ever going live.  At Siebel Systems we obsessed over the notion of a customer.  Our data model took over 10 years to perfect as defining a customer is a very complex task indeed.  There are divisions, subsidiaries, branches, acquisitions, sites etc., etc., etc..  You'll want to do your homework, but trust me - you aren't going to want to take the time or resource to build these canonical data structures yourself.  And what about APIs?  Again, it sounds flexible.  In reality it's a lot of work. Our DNA at Oracle is to reduce the cost of information technology so we pre-integrate our technology with all of our major applications and pre-build integrations and connectors for all the major systems you work with.  This is tedious work that requires detailed knowledge of the interfaces of all the applications involved.  It is also version specific as the interface features and technology are always changing.  We have a substantial organization to manage this complexity so you don't have to.  Suffice to say, we'd like to help our customers peel back the rhetoric of companies that fly the MDM flag without a real offering that you can quickly benefit from. Please watch this space for more information on this storyline as well as news and information around Oracle MDM.

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  • What is the difference between String and string in C#

    - by SAMIR BHOGAYTA
    string : ------ The string type represents a sequence of zero or more Unicode characters. string is an alias for String in the .NET Framework. 'string' is the intrinsic C# datatype, and is an alias for the system provided type "System.String". The C# specification states that as a matter of style the keyword ('string') is preferred over the full system type name (System.String, or String). Although string is a reference type, the equality operators (== and !=) are defined to compare the values of string objects, not references. This makes testing for string equality more intuitive. For example: String : ------ A String object is called immutable (read-only) because its value cannot be modified once it has been created. Methods that appear to modify a String object actually return a new String object that contains the modification. If it is necessary to modify the actual contents of a string-like object Difference between string & String : ---------- ------- ------ - ------ the string is usually used for declaration while String is used for accessing static string methods we can use 'string' do declare fields, properties etc that use the predefined type 'string', since the C# specification tells me this is good style. we can use 'String' to use system-defined methods, such as String.Compare etc. They are originally defined on 'System.String', not 'string'. 'string' is just an alias in this case. we can also use 'String' or 'System.Int32' when communicating with other system, especially if they are CLR-compliant. I.e. - if I get data from elsewhere, I'd deserialize it into a System.Int32 rather than an 'int', if the origin by definition was something else than a C# system.

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