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Other Impala Drivers: Impala ODBC Driver Read, Write, and Update Impala through ODBC The Impala ODBC Driver is a powerful tool that allows you to connect with live data from Impala, directly from any applications that support ODBC connectivity. Version: 24.0.9175 | Modified: 02/12/2025 | Size: 53.67 MB Impala JDBC Driver Powerful Impala JDBC Integration Rapidly create and deploy powerful Java applications that integrate with Impala. Version: 24.0.9175 | Modified: 02/12/2025 | Size: 8.07 MB Download Trial Download Full* Impala Driver Download Options Please select from the following download options: Windows Setup (.exe) Cross-Platform Unix/Linux Setup (.zip) Mac Setup (.dmg) Impala ADO.NET Provider Powerful Impala .NET Integration Rapidly create and deploy powerful .NET applications that integrate with Impala. Version: 24.0.9175 | Modified: 02/12/2025 | Size: 15.41 MB Excel Add-In for Impala Read, Write, and Update Impala from Excel The Impala Excel Add-In is a powerful tool that allows you to connect with live Impala data, directly from Microsoft Excel. Version: 24.0.9175 | Modified: 02/13/2025 | Size: 7 MB Impala Data Cmdlets PowerShell Cmdlets for Impala An easy-to-use set of PowerShell Cmdlets offering real-time access to Impala. The Cmdlets allow users to easily read, write, update, and delete live data - just like working with SQL server. Version: 24.0.9175 | Modified: 02/13/2025 | Size: 4.74 MB Download Trial Download Full* Impala Cmdlets Download Options Please select from the following download options: Windows Setup (.exe) *Powershell 4 & Powershell 7+ Zip Package (.zip) *Powershell 7+ Only Impala Power BI Connector Real-time Power BI Connectvity to Impala data The fastest and easiest way to connect Power BI to Impala data. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support. Version: 24.0.9175 | Modified: 02/13/2025 | Size: 40.66 MB Impala Python Connector Python Libraries for Apache Impala Data Connectivity Python Connector Libraries for Apache Impala Data Connectivity. Integrate Apache Impala with popular Python tools like Pandas, SQLAlchemy, Dash & petl. Version: 24.0.9175 | Modified: 02/13/2025 | Size: 85.23 MB Download Trial Download Full* Impala Connector Download Options Please select from the following download options: Windows Setup (.zip) Cross-Platform Unix/Linux Setup (.zip) Mac Setup (.zip) Impala Tableau Connector Real-time Tableau Connectvity to Impala data The fastest and easiest way to connect Tableau to Impala data. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support. Version: 24.0.9175 | Modified: 02/13/2025 | Size: 11.68 MB Download Trial Download Full* Impala Tableau Connector Download Options Please select from the following download options: Mac Setup (.dmg) Windows Setup (.exe) / Cross-Platform Unix/Linux/Mac Setup (.zip) * Full downloads require a valid Product Key. Previous versions may be available via the product download archive.

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Installing dbt-impalaUse pip to install the adapter. Before 1.8, installing the adapter would automatically install dbt-core and any additional dependencies. Beginning in 1.8, installing an adapter does not automatically install dbt-core. This is because adapters and dbt Core versions have been decoupled from each other so we no longer want to overwrite existing dbt-core installations.Use the following command for installation: Configuring dbt-impala For Impala-specific configuration, please refer to Impala configs. dbt-impala can connect to Apache Impala and Cloudera Data Platform clusters.The Impyla library is used to establish connections to Impala.Two transport mechanisms are supported:binaryHTTP(S)The default mechanism is binary. To use HTTP transport, use the boolean option use_http_transport: [true / false].dbt-impala supports three authentication mechanisms:insecure No authentication is used, only recommended for testing.ldap Authentication via LDAPkerbros Authentication via Kerberos (GSSAPI)Insecure​This method is only recommended if you have a local install of Impala and want to test out the dbt-impala adapter.your_profile_name: target: dev outputs: dev: type: impala host: [host] # default value: localhost port: [port] # default value: 21050 dbname: [db name] # this should be same as schema name provided below, starting with 1.1.2 this parameter is optional schema: [schema name] LDAP​LDAP allows you to authenticate with a username & password when Impala is configured with LDAP Auth. LDAP is supported over Binary & HTTP connection mechanisms.This is the recommended authentication mechanism to use with Cloudera Data Platform (CDP).your_profile_name: target: dev outputs: dev: type: impala host: [host name] http_path: [optional, http path to Impala] port: [port] # default value: 21050 auth_type: ldap use_http_transport: [true / false] # default value: true use_ssl: [true / false] # TLS should always be used with LDAP to ensure secure transmission of credentials, default value: true username: [username] password: [password] dbname: [db name] # this should be same as schema name provided below, starting with 1.1.2 this parameter is optional schema: [schema name] retries: [retries] # number of times impyla attempts retry conneciton to warehouse, default value: 3 Note: When creating workload user in CDP ensure that the user has CREATE, SELECT, ALTER, INSERT, UPDATE, DROP, INDEX, READ and WRITE permissions. If the user is required