Packt are due to launch a new Enterprise brand, into which future Silverlight titles will be published. For more information on that launch, look here.
In this article by Frank LaVigne, author of Microsoft Silverlight 4 Business Application Development, we shall:
- Bind the data from a data object to Silverlight controls
- Validate data and display feedback to the user
The secret of getting ahead is getting started. The secret of getting started is breaking your complex overwhelming tasks into small manageable tasks, and then starting on the first one—Mark Twain
In this article, we will cover the data types that you are most likely to use. We will also take an overview of the others. In addition, we will also cover field classes, which are where the special features are enabled.Read Data Types in Microsoft® Dynamics™ NAV in full
In this article by Kae Verens, we will look at:
- How to install and use the DataTables plugin
- How to load data pages on request from the server
- Searching and ordering the data
In this article by Traci L. Ruthkoski, the author of the book, Google Visualization API Essentials , we will discuss data sources for Charts. The integrated nature of Spreadsheets and Fusion Tables as data sources make the coding of Charts with these external data sources for the Visualization API quite straightforward.Read Data sources for the Charts in full
Data profiling is essentially data mining, but for a different purpose. You mine data to understand, to gain better knowledge about the data. While the more common use of data mining is for gaining the data insights for business purpose (e.g. customer buying characteristics), data profiling is for technical purpose. To be more precise, you do data profiling to gather and analyze the technical metadata characteristics of the data. Information Analyzer, data profiling software from IBM, helps you gain insight into such technical metadata characteristics as, for example, column data type and size (length).
This article is based on a case where a database table grew its size unexpectedly and its initial disk space allocation got strained. Looking at the growth pattern of the table, such as the number of new records (which was not that huge), didn’t give us any clue about the cause of the problem. In this article, Djoni Darmawikarta will step through the Information Analyzer process, run one of its functions called Column Analysis on a simple table (a scaled-down version of the real table), and show how the profiling output help solve the problem.Read Data Profiling with IBM Information Analyzer in full
SQL Server Integration Services, using its designer interface, or BIDS, has made it possible to process data using many of the data flow related items in its Toolbox without writing a line of code. This is a very attractive option for someone who is a beginner with some knowledge of databases, and for end users who may want to look up some detail buried in the data. This tutorial by Dr. Jayaram Krishnaswamy shows how the designed package extracts data from an SQL Server 2005 and processes it using several of its built-in transformations.Read Data Processing using Derived Column and Aggregate Data Transformations in full
"ERWin from Computer Associates (CA) is one of the most popular data modeling software in the market. I’ve been using this data modeling tool since its release 3; it’s now at release 7. In this article I’ll show how to create a data model from scratch, starting with logical and physical models, and then forward engineer the physical model to Oracle database". In this article by Djoni Darmawikarta we’ll create a data model for Sales Order, with customer and product data.Read Data Modeling with ERWin in full
Many data modelers recognize the advantages of standardizing the names of their modeling objects, particularly when they apply prime-class-modifier words pattern; but, they can’t afford its tedious manual execution.
InfoSphere Data Architect affords functions for building glossary of the standard pattern words that you can then employ while developing and maintaining your data models. This automation encourages the data modeler to apply naming standard to their modeling objects which in turn promotes consistency across their data models.
This article by Djoni Darmawikarta features the naming standard functionality in the glossary model of that IBM software.Read Data Modeling Naming Standards with IBM InfoSphere Data Architect in full
In this article by Amy Unruh, co-author of the book Google App Engine Java and GWT Application Development, we look at ways to structure and access your data objects to make your application faster and more scalable.Read Data Modeling and Scalability in Google App in full
In this article by Wolfgang Niefert, you will learn about the Advanced data migration tools, xFusion Studio in particular. You will also get to know a few tips and recommendations which you could use in your own project.Read Data Migration Scenarios in SAP Business ONE Application- part 2 in full
In this two-part article series by Wolfgang Niefert, you will be introduced to the tools and methods which will help you to migrate data from different sources into the SAP Business ONE application.Read Data Migration Scenarios in SAP Business ONE Application- part 1 in full
In this article by Gill Cleeren and Kevin Dockx, authors of Microsoft Silverlight 4 Data and Services Cookbook, we will learn about the following:
- Displaying data in a customized DataGrid
- Inserting, updating, and deleting data in a DataGrid
- Sorting and grouping data in a DataGrid
In this article series by Gill Cleeren and Kevin Dockx, authors of Microsoft Silverlight 4 Data and Services Cookbook, we will cover the following recipes:
- Using the different modes of data binding to allow persisting data
- Data binding from Expression Blend 4
- Using Expression Blend 4 for sample data generation
In this article created by Alex Meadows the author of Pentaho Data Integration Cookbook Second Edition, we will cover the following topics:
Reading data from a SAS datafile
Studying data via stream statistics
Building a random data sample for Weka
This article by Marinos Koutsomichalis, the author of Mapping and Visualization with SuperCollider, elaborates on machine listening (that is, how to extract information out of audio signals) and discusses basic mappings and encodings using SuperCollider.
The topics covered in this article are as follows:
- Machine listening
- Tracking amplitude and loudness
- Tracking frequency
- Timbre analysis and feature detection
ADO.NET Data Services leverages the ADO.NET Entity Framework to build data services for relational data sources. These include support for MySQL, DB2, and Oracle in addition to MS SQL Server. It can also be used with non-relational data using an add-on provider model. With ADO.NET Data Services, the developers can build dynamic internet applications (AJAX, Silverlight, etc) that works across intranets as well as the internet. With this in place data access by applications is made possible using URI Syntax and using HTTP verbs operating on the data.
In this article by Dr. Jayaram Krishnaswamy, you will learn how to create a ADO.NET Data Service from scratch. You will also learn how you may access data using the URI constructs. The backend data for this tutorial comes from a copy of Northwind database named TestNorthwind on a named instance of SQL Server 2008. In order to work through this tutorial you should have Visual Studio 2008 SP1 installed. You also need to have .NET Framework 3.5 installed.Read Data Access with ADO.NET Data Services in full
Retrieving data from heterogeneous database servers at Data Access Layer (DAL) has become common while developing enterprise level applications. This, in turn, leads to writing server specific code at DAL level and plugging in a configuration logic that determines which server is to be used at run-time. For an application of medium sized complexity this is well and good. However, as the complexity increases, the server specific code and the configuration logic tend to become part of the infrastructure that runs the application, which in turn adds to the over-all complexity of the application. It is in such scenario that Object Relational Mapping (ORM) frameworks come into picture. These frameworks dynamically generate the required SQL for the targeted database system. Using ORM frameworks the target database system can be changed via configuration file entries. Thus, they take care of configuration logic as well. In this article by A. P. Rajshekhar, we will work with Hibernate, one of the commonly used ORM frameworks.Read Data Access Using Spring Framework: HibernateTemplate in full
In this article by Satish Kore, we will learn how to interact with a server environment (specifically built with Java). We will look at the various data access components which includes HTTPService class and WebService class. This article focuses on providing in-depth information on the various data access methods available in Flex.Read Data Access Methods in Flex 3 in full
The todo_mongodb project contains a client subproject called todo_client_idb (idb for IndexedDB, a local storage database), and a server subproject named todo_server_dartling_mongodb (dartling for the domain model framework and MongoDB for NoSQL database with collections of JSON documents). The client is the standard web application called TodoMVC.Read Dart Server with Dartling and MongoDB in full
In this article by Naveen Balani, we will have a look at the CXF architecture in detail.
The architecture of CXF is built upon the following components:
- Messaging and Interceptors
- Service Model
- Data bindings
- Protocol bindings