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Individuals
Alteryx Designer is for anyone, no matter what your skillset. Automate every aspect of analytics and any business case, and start delivering outcomes in minutes.
In an easy drag-and-drop experience, speed data preparation, data blending, reporting, predictive, prescriptive and geospatial analytics. Included is powerful no-code, low-code data science. Accelerate outcomes and find new insights.
- Any data source or data type
- Drag-and-drop data prep, blending, and analytics
- Reporting, predictive, prescriptive, spatial — in one
- Integrated no-code, low-code data science
- Automated publishing insights to any format or app
Guided, Automated Machine Learning, and NLP for Alteryx Designer
Access structured, semi-structured, and unstructured data and leverage guided modeling to speed creating, validating, and deploying predictive models. Included is visual text analytics, OCR, and NLP.
- Fully guided visual modeling and ML
- Ready-to-use predictive modeling templates
- Model validation, deployment, and training
- Integrated OCR and text analytics
- Integrated data prep with model creation
Enrich and augment your analysis with location data, consumer, and business insight data from leading third-party data providers.
- Consumer and demographic data packages
- Spatial and location data packages
- Segmentation data packages
- Firmographic data packages
Automate, Share, Govern Your Analytics
Alteryx Server
Scale your Designer workflows across teams and organization-wide with Alteryx Server. Publish, share, schedule automated runs, and govern analytic processes, models, and data.
Learn moreTeams and Organizations
Scale and automate running Designer workflows across teams and organization-wide with Alteryx Server. Publish, share, and schedule automated workflows for continuous insights to stakeholders. Govern analytic processes, models, and data assets and manage security and permissions.
In an easy drag-and-drop experience, speed data preparation, data blending, reporting, predictive, prescriptive and geospatial analytics. Included is powerful no-code, low-code data science. Accelerate outcomes and find new insights.
- Any data source or data type
- Drag-and-drop data prep, blending, and analytics
- Reporting, predictive, prescriptive, spatial — in one
- Integrated no-code, low-code data science
- Automated publishing insights to any format or app
Alteryx Server
Scale your Designer workflows across teams and organization-wide with Alteryx Server. Publish, share, schedule automated runs and govern analytic processes, models, and data.
- Workflow automation and scheduling
- Enterprise scalability
- Sharing and collaboration
- Analytic governance and data lineage
- Enterprise-grade security and high availability
- Versioning and publishing controls
- Analytic governance and data lineage
- Enterprise-grade security and high availability
- Versioning and publishing controls
Alteryx Connect
Connect is the collaborative data catalog for analytics. Access trusted content from across the organization and automatically capture and visualize data lineage between assets to make better decisions.
- Asset cataloging and continuity
- Searchable insights and lineage tracking
- Accessible and secure assets
Alteryx Promote
Deploy predictive models faster by eliminating the need to recode models. Embed models into real-time applications, and verify the health, performance, and availability of your predictive models.
- Predictive model deployment
- Model version management
- Model performance monitoring
Data Packages
Critical location, consumer, and business datasets to enrich your insights.
In an easy drag-and-drop experience, speed data preparation, data blending, reporting, predictive, prescriptive and geospatial analytics. Included is powerful no-code, low-code data science. Accelerate outcomes and find new insights.
- Any data source or data type
- Drag-and-drop data prep, blending, and analytics
- Reporting, predictive, prescriptive, spatial — in one
- Integrated no-code, low-code data science
- Automated publishing insights to any format or app
Add-On Third Party Data Packages
Enrich and augment critical location, consumer, and business insights.
Learn moreLocation Intelligence
Enrich insights with spatial analytics using data packages from market-leading location intelligence providers.
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Consumer Intelligence
Drive transformational consumer analytics using the demographics, buying behaviors, and business profiles of your customers.
Type of Support: | Read & Write; In-Database |
Validated On: | Database version 2.2.1 ODBC client version 2.13.06.00 |
Connection Type: | ODBC (32- and 64-bit) |
Driver Details: | The ODBC driver can be downloaded from Snowflake. Snowflake Bulk write support is available for standard workflows. Bulk write support is available for in-database workflows. In-Database processing requires 64-bit database drivers. |
Driver Configuration Requirements: | For In-database processing, and to avoid errors when writing data with the Output Data Tool, you must specify a Warehouse, Schema, and Database in the driver. |
Alteryx tools used to connect
- Input Data Tool and Output Data Tool (Standard workflow processing)
- Connect In-DB Tool and Data Stream In Tool (In-database workflow processing)
Additional Details
Configure an ODBC connection- In the ODBC Data Source Administrator, select the Snowflake driver and click Configure.
- Enter your Connection Settings and credentials.
- In Additional Options, select Retrieve Entire Results Into Memory.
- Click OK to save the connection.
Note
To fully support the reading and writing of camel case tables and columns, you must set the Alteryx Designer Table/Fieldname SQL style option to quoted.
Considerations
Review the following before configuring a Snowflake Bulk connection.
Alteryx Designer 2018.2.5.48994 X64 -
- You can only write data with the Snowflake Bulk loader.
- After writing data to the new output, the Snowflake Bulk loader removes the written data from the S3 bucket.
- Currently, Snowflake Bulk can only write data in CSV format.
- From the Output Data - Configuration window, click Write to File or Database and select Other Databases > Snowflake Bulk to display the Snowflake Bulk Connection window.
- Select a Data Source Name, or click ODBC Admin to create one. See ODBC and OLEDB Database Connections.
- Enter a User Name and Password, as necessary.
- In Amazon S3, enter your AWS Access Key and your AWS Secret Key.
- From Secret Key Encryption, select an encryption option:
- Hide: Hides the password using minimal encryption.
- Encrypt for Machine: Any user on the computer has full access to the connection.
- Encrypt for User: The logged in user can has full access to the connection on any computer.
- From Endpoint, select one of the following options:Default
Amazon determines the endpoint based on the selected bucket.
Specific endpointTo specify an S3 region in which the bucket reside, specify a custom endpoint or select from previously entered endpoints.
The S3 bucket must be in the specified S3 region. Otherwise, the following error displays:
The bucket you are attempting to access must be addressed using the specified endpoint. Please send all future requests to this endpoint.
Click Default to close the error window.
- (Optional) Select Use Signature V4 for Authentication to increase security beyond the default Signature Version 2. This option is automatically enabled for regions requiring Signature Version 4.Regions requiring Signature Version 4
Regions created after January 30, 2014 support only Signature Version 4. The following regions require Signature Version 4 authentication:
- US East (Ohio) Region
- Canada (Central) Region
- Asia Pacific (Mumbai) Region
- Asia Pacific (Seoul) Region
- EU (Frankfurt) Region
- EU (London) Region
- China (Beijing) Region
- Select a Server-Side Encryption method for uploading to an encrypted Amazon S3 bucket. See Amazon Simple Storage Service Developer Guide.
- None (Default): An encryption method is not used.
- SSE-KMS: Use server-side encryption with AWS KMS-managed keys. You can also provide a KMS Key ID. When you select this method, Use Signature V4 for Authentication is enabled by default.
- Enter the Bucket Name of the AWS bucket in which the data objects are stored.
- Configure additional file format Options in the Output data - Configuration window. See File Format Options.