Provides authentication for accessing Microsoft Azure and Office 365 cloud services. Learn more
Collection
KNIME for Azure Users
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.
Like
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.
Go to item
Retrieves data files from Microsoft Azure Cloud.
knime > Beginners Space > 01_Read > 05_Read_Data_from_Microsoft_Azure_Cloud
10
Go to item
Connects to personal SharePoint file system, lists files/folders, reads/writes xls/csv files, writes tables in pdf/html formats.
knime > Examples > 01_Data_Access > 06_ZIP_and_Remote_Files > 07_Microsoft_Sharepoint_Data_Access
7
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.
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.
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.
Go to item
Extension
KNIME Extension for Apache Spark
KNIME nodes for assembling, executing and managing Apache Spark applications. Supports Spark versions 2.4 and 3.
KNIME AG, Zurich, Switzerland
0
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.
Go to item
Provides an overview of KNIME’s Python integration and how Python scripts can be used in workflows.
4
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.
Additional Material
Section for additional resources and materials