QVD

  • Editing QVD Files using Q-Eye

     

    If you are stuck post your question on our support forum and we will do our best to assist you

  • QVD File field types

     

    If you are stuck post your question on our support forum and we will do our best to assist you

  • Extracting data from QVD files

    This tutorial demonstrates how data can be extracted from QlikView QVD files with Advanced ETL Processor

    It is intended for users familiar with fundamental ETL operations, but who have limited exposure to the new features available in  Advanced ETL Processor.

    All our ETL tools have no limitations, that means you can load your data today and solve all the data quality problems right now.

    Our WIKI has more detailed information, if you are stuck post your question on our support forum and we will do our best to assist you

  • Learn how to create QVD files

    This tutorial demonstrates how to create QlikView QVD files with Advanced ETL Processor

    All our ETL tools have no limitations, that means you can load your data today and solve all the data quality problems right now.

    Our WIKI has more detailed information, if you are stuck post your question on our support forum and we will do our best to assist you

  • Learn How to Convert QVD file into TDE file

    What are QVD Files?

    QVD is a native Qlik format and can only be written to and read by Qlik Sense or QlikView. The file format is optimized for speed when reading data from a script but it is still very compact. Reading data from a QVD file is typically 10-100 times faster than reading from other data sources.

    Source: Qlik help

    What are TDE Files?

    The TDE data file format is used by Tableau Desktop, a whiteboard visualization and analysis application. It may contain data extracted from external sources such as Microsoft Excel and Microsoft Access. TDE files are used for storing external data in a format recognized by the Tableau software.

    Source: openthefile

    All our ETL tools have no limitations, that means you can load your data today and solve all the data quality problems right now.

    Our WIKI has more detailed information if you are stuck post your question on our support forum and we will do our best to assist you

  • Learn how to create QVD files

    This tutorial demonstrates how to create QlikView QVD files with Advanced ETL Processor

    All our ETL tools have no limitations, that means you can load your data today and solve all the data quality problems right now.

    Our WIKI has more detailed information if you are stuck post your question on our support forum and we will do our best to assist you

  • Extracting data from QVD files

    This tutorial demonstrates how data can be extracted from QlikView QVD files with Advanced ETL Processor

    It is intended for users familiar with fundamental ETL operations, but who have limited exposure to the new features available in  Advanced ETL Processor.

    All our ETL tools have no limitations, that means you can load your data today and solve all the data quality problems right now.

    Our WIKI has more detailed information if you are stuck post your question on our support forum and we will do our best to assist you

  • Problem:

    We have a scenario where we have a large datasource that is currently used to produce a single QVW. What we would like to do is produce a number of smaller QVWs using e.g. Publisher - however, we would like to define the reload schedule and destination folders that these smaller QVWs end up in from an external MySQL table (or config file or similar), rather than through the Publisher GUI. Has anyone done anything similar, or got any recommendations on how to approach this?

    Original Post on LinkedIn

    Solution: Advanced ETL Processor QlikView automation package

    The package is executed from the left to the right starting from "Init Variables" object

    Package

    First of all, we've created the following table to store parameters, it can be extended if necessary

    table

    Table data:

    TableDetails

    Step 1: Init variables.

    Variables are used to replace one string with another, for example anywhere in the package where <RoorDirectory> is found it will be replaced with c:\Customers.

    Variables1

  • Advanced ETL Processor is a perfect solution for automating QVX file generation in complex enterprise environment

    • QVX files can be generated in HQ or Regional offices
    • Data can be transferred via FTP, HTTP, EMAIL, file servers or downloaded from the WEB
    • The entire database can be saved into QVX files with just a few clicks
    • Complex data transformation and validation can be performed on the fly
    • In case of failure, the solution provider support team can be notified via email
    Download Free Trial Learn More About Our ETL Software
  • Version 4 of  Q-Eye is available for download. This version is tightly integrated with windows explorer so it is possible to preview the content of QVD and QVX files without opening the files

    Q-Eye4Preview

     

    Q-Eye4

     

    Questions?: Post your findings or suggestions on our support forum:

    Visit Support Forum

    Please support the development of Q-Eye by donating

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  • Great news Advanced ETL Processor generates QVD files up to 13 times faster

    Here are our test results:

    VersionRecords per secondTime Taken
    5.8.0.18 50,882 59sec
    5.8.0.6 3,732 13min 23sec

    Generate QVD Files New Version

     Generate QVD Files OLD Version

    Reading QVD files is faster as well:

    VersionRecords per secondTime Taken
    5.8.0.18 179,964 16sec
    5.8.0.6 56,074 53sec

    Read QVD Files New Version

     Read QVD Files Old Version

    Notes:

    1. The performance also depends on the hardware configuration
    2. Please use our support forum to provide us with feedback
    Visit Support Forum Learn More Download Buy It
  • The latest version of Advanced ETL Processor can create 14000 QVX records per second, approximately 1 million records per minute.

    This is 10 x increase comparing to the previous version!

    Creating QVX

    There are two ways of creating QVX files using packages or from the transformation. It is possible to save all tables in the database into QVX files with several clicks. And it is also possible to perform complex data transformations.

    Download Free Trial Learn More About Our ETL Software
  • Great news: Q-Eye version 2 can now edit QlikView QVD and QVX files

       

    QVD Files Viewer

     

    Download Q-Eye 32 Bit

    Download Q-Eye 64 Bit

    Download Q-Eye Portable Version

  • The new version of Q-Eye is available for download. In this release, we've addressed problems with working with very large Qvd files (>3.5 gigs)  and fixed problems with reading fields with no values.

    Q Eye LargeQVDS

     

    Visit Support Forum

    Please support the development of Q-Eye by donating

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    Download Q-Eye 32 Bit Download Q-Eye 64 Bit Download Q-Eye Portable Version
  • The release of Q-Eye allows QlikView users to view and even edit residential tables.

    Here are some examples:

    1. Viewing Data

    SUB INSPECT (T)
     LET LocalAppDataPath = GetRegistryString('HKEY_LOCAL_MACHINE\Software\Microsoft\Windows\CurrentVersion', 'ProgramFilesDir');
     LET QViewerPath = '$(LocalAppDataPath)\DB Software Laboratory\Q-Eye\QEye.exe';
     STORE $(T) into [$(QvWorkPath)\~$(T).qvd] (qvd);
     EXECUTE "$(QViewerPath)" "$(QvWorkPath)\~$(T).qvd";
     EXECUTE cmd /c del "$(QvWorkPath)\~$(T).qvd";
    ENDSUB

    2. Editing Data

    SUB EDIT (T)
     LET LocalAppDataPath = GetRegistryString('HKEY_LOCAL_MACHINE\Software\Microsoft\Windows\CurrentVersion', 'ProgramFilesDir');
     LET QViewerPath = '$(LocalAppDataPath)\DB Software Laboratory\Q-Eye\QEye.exe';
     STORE $(T) into [$(QvWorkPath)\~$(T).qvd] (qvd);
     EXECUTE "$(QViewerPath)" "$(QvWorkPath)\~$(T).qvd";
     DROP TABLE $(T);
     LOAD * FROM [$(QvWorkPath)\~$(T).qvd] (qvd);
     EXECUTE cmd /c del "$(QvWorkPath)\~$(T).qvd";
    ENDSUB


    If we want to edit the table we just

    CALL EDIT('Log');

    Or if we want to view the table we use this code

    CALL INSPECT('Log');

    Note: By default Q-Eye uses partial load, to avoid problems load entire QVD file before editing it 


    This example is based on:
    http://bi-review.blogspot.co.uk/2012/12/how-to-look-inside-resident-tables-at.html

  • Advanced ETL Processor can now generate QVD files from the following data sources: Text, XML, Excel, Access, DBF, Foxpro, ODBC, OLE DB, MS SQL Server, Oracle, MySql, PostgreSQL, Firebird, Interbase, SQLite, POP3, RSS, Windows Event Log, Google Spreadsheets, SalesForce, BrightPearl and QlikView QVX files.


    Advanced ETL Processor currently supports 20 data targets and 27 data sources

    About QVD Files

    A QVD (QlikView Data) file is a file containing a table of data exported from QlikView. QVD is a native QlikView format and can only be written to and read by QlikView. (NOT ANY MORE) The file format is optimized for speed when reading data from a QlikView script but it is still very compact. Reading data from a QVD file is typically 10-100 times faster than reading from other data sources.

    QVD files can be read in two modes, standard (fast) and super-fast. The selected mode is determined automatically by the QlikView script engine. The super-fast mode can be utilized only when all fields or a subset thereof are read without any transformations (formulas acting upon the fields), though the renaming of fields is allowed.

    Note:

    We did a lot of testing but there is a chance that we missed something, so if you find any problems please post your comments on our support forum and we will do our best to help you.
    Download Free Trial Learn More About Our ETL Software
  • Version 3 of ETL tools QlikView connector is available for download

    Changes are:

    Massive performance boost up to 120 percent
    More transformation and validation functions 500+
    Support for Salesforce and BDE was introduced.
    Lots of interface improvements

    Supported Datasources:

    1. Text
    2. XML Files
    3. Excel Files
    4. QVX Files
    5. QVD Files
    6. Windows Event Log
    7. MS Access Database
    8. DBF Files
    9. ODBC

      

    1. JDBC
    2. Ole DB
    3. MS SQL Server
    4. Oracle
    5. MySQL/MariaDB
    6. PosgreSQL/Greenplum
    7. Interbase/Firebird
    8. SQLLite
    9. File System
      
    1. POP3
    2. IMAP4
    3. Google Spreadsheet
    4. MS Sql Server CE
    5. RSS Feed
    6. Salesforce
    7. Bright Pearl
    8. BDE
     

    QlikView-Connector

    Special offer

    Make a suggestion or ask a question on our support forum and get 30 percent discount

  • We have just released version 3.5 of QEye. This version loads and saves QVD files much faster. (Between 2 and 5 times on our test computers)

    Q-Eye3.5

    Performance is not guaranteed and depends on number factors such as: Hardware configuration, Size of files, Number of distinct fields values

    Since QVD is a closed format it is not possible to test it completely. Therefore we would like to ask QlikView users to assist us with testing.  

    Approximate test plan:

    Performance Test  

    Find the largest possible qvd file and load it completely into Q-Eye (Record the time took)   
    Find the largest possible qvd file and load it completely into QlikView (Record the time took)

    Data Quality test

    Open a number of qvd files and load them completely into Q-Eye.   
    Save the files.   
    Load the files into QlikView and check for data corruption.

    Data format test  

    Create qvd file manually by editing the data in Q-Eye.   
    Make sure that you are using all possible formats (text, numeric, date) and languages   
    (We are especially interested in testing non-English languages)   
    Save the file.   
    Load the file into QlikView and compare the data.

    Post your findings or suggestions on our support forum:

    Visit Support Forum

    Please support the development of Q-Eye by donating

    Donate

  • Advanced ETL Processor Enterprise: Loading QVD file into SQL Server

    All our ETL tools have no limitations, that means you can load your data today and solve all the data quality problems right now.

  • Great news: both Visual Importer ETL and Advanced ETL Processor can now load data from QVD files into various databases.
    Such as Excel, Access, DBF, Foxpro, ODBC, OLE DB, MS SQL Server, Oracle, MySql, PostgreSQL, Firebird, Interbase, SQLite and more...

    Load Data from QVD Files

    Note:

    We did a lot of testing but there is a chance that we missed something, so if you find any problems please post your comments on our support forum and we will do our best to help you.

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