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KNIME for Azure Users

AzureMicrosoftMicrosoft AzureCloudAzure Blob Storage
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Get the most out of your Microsoft Azure stack with KNIME workflows. From local Excel analysis to interacting with Azure-hosted databases and OpenAI models, KNIME Microsoft and KNIME Azure Cloud extensions make it very easy to expand your Microsoft technology value and footprint within the business. Keep in mind that executing KNIME workflows connected to any Azure cloud services may incur Azure costs.

KNIME Azure Integration User Guide
This guide illustrates how to connect to Azure and how to use the Azure Cloud extensions.
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Getting Started with Azure Workflows

Utilizing Azure product connections within KNIME will always start with user authentication. Once you have authenticated, you can use that output to power the Microsoft connectors.

Connecting to Data Stored in Azure and Sharepoint

KNIME supports importing different types of data from multiple different Azure products. Depending on the Azure product, you can incorporate KNIME frameworks for additional processing.
File Storage with KNIME File Handling
With the KNIME File Handling Framework, you can incorporate files stored in multiple different Microsoft and Azure cloud services into your workflows.
Workflow
Read Data from Microsoft Azure Cloud
AzureAzure CloudMicrosoft Azure
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Retrieves data files from Microsoft Azure Cloud.
Beginners Space01_Read05_Read_Data_from_Microsoft_Azure_Cloud
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Microsoft SharePoint Data Access
SharePointMicrosoftCsv reader
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Connects to personal SharePoint file system, lists files/folders, reads/writes xls/csv files, writes tables in pdf/html formats.
Examples01_Data_Access06_ZIP_and_Remote_Files07_Microsoft_Sharepoint_Data_Access
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Relational Databases with KNIME’s Database Framework
With KNIME’s Database Framework, you can incorporate database tables stored in Azure into your KNIME Workflows. This includes Azure database services like Microsoft SQL Server, SQL Pools in Azure Synapse Analytics, as well as databases provisioned on Azure resources.
Workflow
Database - Simple IO
DatabaseIoSqlite
Executes DB Query Reader and DB Writer nodes using a file-based “sqlite” database for simple input/output operations.
Examples01_Data_Access02_Databases01_Database_Simple_IO_Example
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Workflow
Databases - Advanced Usage
DatabaseSqlite
Executes database operations using KNIME nodes directly within a file-based “sqlite” database.
Examples01_Data_Access02_Databases02_Database_Advanced_Example
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Query Azure OpenAI

KNIME offers native connectors supporting OpenAI models hosted in Azure cloud. These can be used for text generation, translation, classification, and summarization tasks. For more information on utilizing Generative AI, refer to the KNIME for Generative AI Collection below.
Workflow
1.6 - Simple Azure OpenAI Prompt
OpenAIAILLM
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Generates human-like text based on input using Azure OpenAI API key.
AI Extension Example Workflows1) Large Language Models1.6 - Simple Azure OpenAI Prompt
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KNIME for Generative AI
AILLMChat
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Provides ready-to-use workflows for utilizing Large Language Models (LLMs) in tasks such as building chat apps and retrieval augm…
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Leveraging Azure HDInsight with KNIME’s Apache Spark Framework

With the KNIME Extension for Apache Spark, KNIME user’s can leverage data from spark clusters created using Azure HDInsight into their workflows.
Extension
KNIME Extension for Apache SparkTrusted extension
KNIME nodes for assembling, executing and managing Apache Spark applications. Supports Spark versions 2.4 and 3.

KNIME AG, Zurich, Switzerland

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Workflow
Working with Azure services
AzureMicrosoftHdinsight
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Enables connection to Azure services like HDInsight clusters, Azure Blob Storage, and AzureSQL within KNIME Analytics Platform.
Examples10_Big_Data01_Big_Data_Connectors09_AzureExample
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Using the Azure SDK for Python in KNIME Python Nodes

On top of the dedicated connectors we have for different Azure products, we support connection to all services via the Azure SDK for Python. For this you would implement Python directly in KNIME via the KNIME Python Integration.
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Getting started with KNIME's Python integration
PythonPython ScriptPython Integration
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Provides an overview of KNIME’s Python integration and how Python scripts can be used in workflows.
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KNIME on Azure Marketplace

KNIME provides Azure Marketplace offerings for customer-managed instances of KNIME Business Hub and KNIME Analytics Platform. If you are interested in deployment of KNIME Business Hub via the Azure Marketplace, refer to the following links and documentation. If you need assistance on evaluation of this deployment, please contact KNIME Customer Care using the link below.