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Rinzo XML Editor is a lightweight, fast and effective XML editor that helps users edit, debug, format, and validate their XML documents and files on the fly.
Rinzo provides a number of essential features for XML editing and validating:
– intuitive and customizable UI
– full XML editing with validation
– the ability to show and hide non-XML elements such as XSL, XSLT, HTML, ASP, etc
– the ability to load and save any kind of XML documents
Rinzo XML Editor License:
Rinzo XML Editor is freeware.
Please, contact me if you want to buy a commercial license.
Rinzo XML Editor Download:

Rinzo XML Editor Features:

Hello,
This is a modified version of the package to handle newer versions of the SQL Server 2008 (11.0) and 2012 (12.0).
Currently, this package only works with the Visual Studio 2013 (12.0) and 2015 (15.0) IDE.
To get the package work on other versions of SQL Server, please refer to the post on this site:

Steps to create an SSIS package that will allow users to retrieve data from SQL Server and export the data as.csv and.xls files:
1. Install the SQL Server Data Tools 2015
2. Install SQL Server Data Tools for Visual Studio 2013
3. Create a new SQL Server 2012 Project for Visual Studio
4. Add a connection manager to your project and add the information to your connection manager:
Connection manager name:
Server Name
Database
User Name
Password
5. Open your project in the Visual Studio 2013 IDE. You should now have an SSIS Project that shows the packages and elements of your package.
Open the Data Flow Task of your package. Under the Data Flow Task, you will see the connection manager from step 4. In this example, I 384a16bd22

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• An unstructured text/string data block which is keyed via the “key” field and value via the “value” field.
• A batch of data records of key-value pairs.
• It uses a disk-based B+ tree for indexing data.
• The key is used to locate the data.
• The value is used to access data.
• It offers a number of features:
1. Environment independent.
2. High speed search.
3. Write-through asynchronous transaction mechanism.
4. Automatic concurrency control.
5. Standard sequential keyed access.
6. Random access supported.
7. File and database independence.
8. Full text search (prefix, match, range) and similarity search.
9. Compressed format.
10. Full Unicode support.
11. Fuzzy string comparison.
12. Shared memory version.
13. Mutable sequence data, atomic integer, atomicity.
14. Atomic compression.
15. Full text indexing.
16. Hash table (key-index).

KEYMACRO Description:

This database stores and retrieves text/string data that is keyed by value. It supports multiple properties of key-value pairs. The value of a key-value pair can be of any type. KEYMACRO is a fork of KEYDB (Berkeley DB) that provides a richer set of indexing and searching capabilities. It can be used as a key-value database to store and retrieve text/string data. It is available as a standalone database or as a component of another database.
Key-value databases are useful for a variety of applications, such as dealing with email, document databases, and document retrieval. Key-value databases store and retrieve data in the form of key-value pairs. The database can index data on the key or key-value pair, and can provide searching facilities such as prefix search, range search, or fuzzy string matching.
Key-value databases are built on top of a B+ tree. When writing data, KEYMACRO uses a disk-based write-through asynchronous transaction mechanism. The data is written to disk in log-structured format. As and when data is written to disk, the disk is automatically flushed to the journal. Hence, the data is immediately visible to other processes, such as a backup process. In case of corruption, KEYMACRO can recover automatically, and

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