DataBooster (Latest)







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The primary goal of DataBooster is to minimize the amount of data transferred between the client and the backend systems.
DataBooster Description:

While the API has the most straightforward format, DataBooster exposes many of its internal features in the form of methods and properties.

The primary technical core of DataBooster is based on the dynamic interface approach. This notion embodies the concept of composing the methods of a class by either overlaying, grouping, classifying or related them to the most convenient and straightforwardly used interfaces. DataBooster is known for its multitasking capabilities as it enables composing the parameters of the most suited method for dynamic choice.

DataBooster’s interface offers a set of methods to the most popular ADO.NET classes. For more information about the interfaces available, visit [**Interfaces**]( section of the **DataBooster User Guide**.

You may also refer to the **C#, J# API** section of the DataBooster **C#/J# Guide** for a better understanding of the used methods.

You can choose the methods to be used and even perform a sequential or parallel processing of the data obtained. The choice made is reflected by the **method name** and the type of the **parameters**. This makes it possible to determine the usage of the object in dynamic way – the type of the **DBDataSet**, [**DBTable**]( and other object data sources is not checked until the method processing is executed. Data types of the parameters and the return value (which is the result of the method execution) are determined at the method call.

Though, the **Return Argument** and the **Method Parameter** are of **object** type by default, this does not preclude the use of other data types, as we can decide to change the **return argument** and/or the **parameter type** with the help of the **DataType** property. Note that this will affect the previously used method and its parameters. To keep

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DataBooster is a set of.NET classes that allows efficient retrieving of data from a SQL Server database in a manner similar to how XML files can be read with an XmlDataProvider class. However, DataBooster provides server-side object relational mapping and read data from database tables without knowing or caring what the shape of the data in the database tables is.
DataBooster makes it possible to prevent table locks for the appropriate operations on the data in an application that is retrieving data from a single table in the database. When data is read from multiple table, every operation to read the data must be performed through an operation to read the data that can be performed on a single table. In contrast, DataBooster allows operations such as key data retrieval on SQL Server tables by means of an object relational mapping as well as data retrieval from tables that are mapped to objects.

The issues with DataBooster are:

The API is thin. It really relies on the TSQL. 
Data is bounded to the database. If the database changes, the design will has to be changed.
Customized builds could not be used.
Data could not be validated.
Data cannot be synchronized automatically.

Probably the leading product for database object mapping and Read is DataObjects Power Objects for.NET. It supports a two pronged approach, the first one is the object relational mapping, where as second one is the database bounded data access.
Azure Table Storage and Custom Table Rows:
This is an extremely powerful and flexible approach. It is defined as following:

Using Azure Table Storage, you can build and host your own table-based data solution that provides reliable and scale-able data. Azure Table Storage is a cloud-based multi-model database that can store and access data of any data type. Azure Table Storage provides highly scalable services that can be deployed across multiple servers and be as easily managed as Web sites. Azure Table Storage supports an unlimited number of clients and scalable storage of data that can be accessed by a number of clients and hundreds of thousands of devices simultaneously.
Using Azure Table Storage, you can host data of all types including objects (POCO), documents (XML), structured, semi-structured, and unstructured data (CSV, HTML, JSON, JSON-LINQ). By leveraging the flexibility of Azure Table Storage you can build a custom solution for your mobile, web, or

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An ADO.NET application developer can use DataBooster to automate the most common data operations as part of an intuitive data accessing architecture. That said, DataBooster’s design makes data storing and operating easy. Each of the data operations used by DataBooster is encapsulated as a separate delegate encapsulating a particular operation (command) against the underlying database. This does not mean that data operations become more complicated — on the contrary. They become more simple, independent of the underlying database.

DataBooster also makes it possible for ADO.NET application developers to utilize, easily, the Connectivity Framework that is implemented by the.NET Framework. This way, a developer can apply DataBooster’s communication abstraction into an applications that require communication features that should include both data storing and retreiving.

Data operations at DataBooster are based on the following four factors:

– *Advanced database concurrency control*

– *An effective data transferring policy*

– *Secure data handling*

– *Extensible architecture*

The general idea behind DataBooster’s library is that the user should not have to memorize the encapsulated database statements. As a result, DataBooster only enables the data operations encapsulated in the library. DataBooster does not encapsulate database access statements; it is up to the user to choose which commands are appropriate to be encapsulated into DataBooster.

DataBooster is built to enable a suitable data access scheme by combining the various encapsulated database commands. This is a clear advantage for the ADO.NET application developer, especially, when network bandwidth becomes a firm requirement.

DataBooster was built to support many platforms: the.NET Framework, dotNET, Windows, Mono, and Linux (Ubuntu and RedHat).

The rest of this section will explain how the different data operations are encapsulated with the corresponding delegates. This will explain what DataBooster does and the possibilities for the ADO.NET application developer.

DataBooster encapsulation of the various database operations

DataBooster’s library includes the following encapsulated commands:

– *Insert*

– *Update*

– *Delete*

– *Select*

– *Find*

– *Generate*

What’s New In?

DataBooster contains the following components:

– **ADO.NET Support**: DataBooster supports all ADO.NET API calls. The implementation will perform each call to the database layer by delegating each DBMS-specific tasks to the booster components.
– **Session**: DataBooster encapsulates all SQL transactions by performing operations against the connection and transaction objects to ensure data integrity.
– **Cache**: DataBooster provides a local SQL cache that can be used to accelerate performance.
– **Boosters**: DataBooster contains dedicated boosters that act on the persistence of data in the database.
– **Security**: DataBooster uses an implementation that derives a “per user” security model from the information provided by the application using it.
– **Extensions**: DataBooster contains an extensive list of extensions that can be used to customize the default boosters or the core of the application.
– **Configuration**: DataBooster has no configuration engine. It’s just built-in.

Powerful Visual Studio Solution:
DataBooster is a sophisticated solution developed by the principals of the ADO.NET team at Microsoft. It was conceived and conceived to fit the needs of the professionals who have to deal with the rough, tough and complicated world of ADO.NET development. It is embedded with powerful tools including a build-in unit test framework.

DataBooster is a very rich solution, and you can get detailed information about it on the DataBooster web site:

– DataBooster has all the functionality required to manage the connection pool as well as the users.
– DataBooster allows you to use providers as well as pooled connections in the same project.
– DataBooster supports all ADO.NET SQLServer drivers and can be used with multiple drivers at the same time.
– DataBooster is extensible in any direction. You can extend it to add the missing functionality to your project.
– DataBooster manages the connection and users.
– DataBooster can be run against your test servers for increased accuracy.
– DataBooster is written in MS.Net Framework 2.0.

System Requirements:

For the best performance, the original installation disc should be used. It is highly recommended to not use any other version of the operating system or other application.
If you are using Windows XP, you will need to use Vista or later.
Windows XP OS:
Windows Vista OS:
Note: Compatible with XP/Vista/Windows 7 (32-bit)
Computer: 3.2 GHz or faster
4GB free space for the Windows installer disc