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Submission GuidelinesHello,
After used the new "Image Recognition Tool" a few days, I think you could improve it :
> by adding the dimensional constraints in front of each of the pre-trained models,
> by adding a true tool to divide the training data correctly (in order to have an equivalent number of images for each of the labels)
> at least, allow the tool to use black & white images (I wanted to test it on the MNIST, but the tool tells me that it necessarily needs RGB images) ?
Question : do you in the future allow the user to choose between CPU or GPU usage ?
In any case, thank you again for this new tool, it is certainly perfectible, but very simple to use, and I sincerely think that it will allow a greater number of people to understand the many use cases made possible thanks to image recognition.
Thank you again
Kévin VANCAPPEL (France ;-))
Thank you again.
Kévin VANCAPPEL
At our organization we are required to change our passwords every few months forcing a change to my Tableau Server password. How does this relate to Alteryx? Well, every 90 days I have to change my password in the "Publish to Tableau Server Tool" for all of my workflows. This is quite a cumbersome process that could be eliminated with AD.
If you dislike manually changing your for each workflow that uses this tool then "star" this post!
A few suggestions that I think can improve the Sharepoint Files Output Tool:
Hi there,
When connecting to data sources using DCM - could we please add the ability to make JDBC connections?
see:
https://community.alteryx.com/t5/Engine-Works/JDBC-Connections-in-Alteryx/ba-p/968782
As mentioned in these threads - JDBC is very common in large enterprises - and in many cases is better supported by the technology teams / developer community and so is much easier to make a connection. Added to this - there are many databases (e.g. DB2) where JDBC connections are just much easier
Please could you add JDBC connections to the DCM tooling?
Thank you
Sean
cc: @wesley-siu @_PavelP
Hi all,
The Publish to Tableau Server tool is great.. but requires username and password. If you are using AD, there is a chance that your users don't have a password. In that case, you probably have a technical user that you share across the team. This is not an ideal situation and you loose the governance around the data.
Fortunately, there is an easy workaround. You can leverage personal token authentication : https://help.tableau.com/v2019.4/server/en-us/security_personal_access_tokens.htm
The advantage of this method is that it logs in with your user and your data source is uploaded under your name. This is still using the Tableau REST API so the changes to do in the current macro is MINOR.
Changes to do in the current macro :
1- Add a parameter authentication method with choices : Username/Password ; Personal Token
2- If Personal Token is selected, add two parameters : Token_Name and Token_Value
3 - In the TableauServer.Login supporting macro, improve the formula(13) to change the payload based on user selection. If Username/Password, keep it as is. Else use the syntax here : https://help.tableau.com/current/api/rest_api/en-us/REST/rest_api_concepts_auth.htm#make-a-sign-in-r...
This is quite a straight forward change but could help a lot of companies using Alteryx.
Can you please implement that changes to strengthen this tool ?
Thanks a lot,
Would like to direclty query Hyperion Cube / Essbase data source directly - please propose functionality in next release or add a user macro to the gallery. Thanks -cb
Hi,
Currently loading large files to Postgres SQL(over 100 MB) takes an extremely long time. For example writing a 1GB file to Postgres SQL takes 27 minutes! This is serious impacting our ability to use Alteryx as an ETL tool for loading our target Postgres Data Warehouse. We would really like to see the bulk load capacity to Postgres supported by Alteryx to help alleviate the performance issues.
Thanks,
Vijaya
It would be great to have the below functionality in Alteryx.
A workflow is built in Alteryx and button click in Alteryx can be used to generate SQL code that can be ran on a specific database platform, such as SQL Server to run external editors such as SQL Server Management Studio. Thanks.
We aren't getting a huge amount of help from support on this, so I'm posting this idea to raise awareness for the product teams responsible for the Salesforce connectors and the embedded Python environment.
This post from user Dubya describes the issue in detail:
I have a workflow with several salesforce tools in it, which works fine on my machine. But we need another alteryx user in our office to be able to access, run and maintain the workflow too, via their machine and copy of alteryx designer.
However we're finding that the salesforce inputs and outputs can only be authenticated on one machine at a time.
When the other new user opens the original workflow from the shared network location, the salesforce tools display an error "Salesforce Input (1): {'error': 'invalid_grant', 'error_description': 'authentication failure'}" and the tools fail to load any data. But we can see the full query in the tool and we can even set the custom query option and validate the query successfully, which suggests the source is being correctly connected to and queried, but we just cant run the tool.
The only way to run the tool successfully is to change the credentials and re-authenticate the tool. However this then de-authenticates the original machine, and when we open up the workflow on there and try to run ying the workflow brings back the same error.
We've both tried this authentication back and forth on our own machines and each time one of us re-authenticates, it de-authenticates the other, leading to it triggering the error.
Can someone help explain what's going on and how to fix it, as this doesn't bode well for our collaboration.
We're both running:
The latest build of version of designer 2021.2 (original machine also running desktop automation)
Salesforce Input Tool v4.1.0
Salesforce Output Tool v1.3.0
My response here identifies that this is a problem for our organization as well:
We're experiencing the same issue. It appears to be related to how the tool handles password and security token decryption. I've found that when you modify the related registry entry from "true" to "false", you can see in the tool's xml that the encrypted password and security token are still in there. I'm not sure what else is going on behind the scenes beyond that, but that ought to be addressable by the product teams handling the Salesforce connectors and the Python installation embedded in Designer.
The only differences in our environment compared to u/Dubya's are that we're running on 2020.4 and attempting to use Salesforce Input Tool v4.2.4.
This is a must have for anyone who needs the ability to share workflows among multiple users. This is part of a series of problems that these updated connectors have been plagued with since introducing them years ago, and no one at Alteryx seems to care enough to truly fix the problems. Salesforce is a core system for our organization, so having tools that utilize the latest version of Salesforce's APIs is very important to us. The additional features that the Input tool provides are welcome, but these bugs have to be sorted out in order for us to extract any kind of value out of them. If the "deprecated" Salesforce tools were ever to be removed from Designer while there are issues with the "new" connectors, we would have no choice other than to never upgrade Designer/Server again and be forced to look for another product to serve as our ETL platform.
Please, please, please address this.
After talking with support we found out that Oracle Financial Cloud ERP is not listed among supported Data Sources as stated in the url below:
We would like this added as our company will begin working heavily with Oracle Financial Cloud ERP to bring data from that into our SQL servers. Is there a reason why that connection is not currently being investigated and set up?
Thanks,
Chris
I have recently added an Azure data lake v2. The Azure input/output connectors do not work with this version of the Azure data lake.
It appears that Alteryx adds ".azuredatalakestore.net" to the file path. This works for V1, but not needed for V2
any plans to configure a connector for Azure data lake v2?
While Alteryx allows for a proxy username and password in the settings, these are not passed properly to an NTLM proxy. Support for NTLM authentication would be incredibly useful for a number of corporations who utilize this firewall setup.
We currently have to either download via Python or cURL through batch commands called by Alteryx. Since Alteryx uses a cURL back-end, this should be a fairly simple addition to the existing download tool by allowing a selection of proxy server, port, and authentication method in addition to the proxy username and password. This could be done either in the tool itself or in User Settings.
TIBCO Data Virtualization is a Data Virtualization product focused on creating a virtual data store consolidating data from throughout the enterprise. It can be accessed via a SQL query engine, and has a variety of supported connectors, including an ODBC driver.
This data source can be connected to via ODBC in Alteryx today, but error messaging is unclear/unhelpful, and attempting to use the Visual Query Builder causes Alteryx to crash.
Adding TIBCO Data Virtualization as a supported ODBC connection would empower business users to leverage this product and easily utilize this enterprise data store, enhancing the value of the Alteryx platform as a consumer of this data.
Multi-Fill Tool
Please consider a new Multi-Fill tool, not for Apps, but for regular workflows, manually run or scheduled.
Similar to the Interface tool-combination of the Text Box & Action (Update value) tools, this Multi-Fill tool would enable the user to update, for example, the User Name and Password in one place for multiple Download tools. It could also be used to update other tool variables like Filter, Sort, Unique, etc.
Single point of maintenance for Salesforce Input tool connection to Salesforce
This prevents user maintenance every time their password (and token) changes which requires them to update every Tool with new credentials
Also logged as issue under Alteryx, Inc Case # 00252975: Connection to Salesforce Issue
Hello all,
HDFS (Hadoop Distributed File System) connection is widely used to load data efficiently on Hadoop, for Hive, Spark or Impala. However, it's not compatible with the new DCM.
Best regards,
Simon
Please add Parquet data format (https://parquet.apache.org/) as read-write option for Alteryx.
Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.
Thank you.
Regards,
Cristian.
Alteryx Server was recently updated to allow TLS-mediated connections to the MongoDB persistence layer. This allowed us to switch off of the embedded MongoDB to a highly-available MongoDB Atlas cluster. To our surprise after the switch, when we went to edit our workflows that make use of the persistence layer's data (Server Usage Report, etc.) to hit the new Atlas cluster, we found that the MongoDB Input tool does not support TLS connections. This absolutely needs to be changed. Based on organizational constraints, Atlas is our only option for a HA persistence layer. We absolutely have to have TLS support for the MongoDB Input tool. There is no other way for us to natively query our server persistence layer in Designer. Please bring the MongoDB Input tool into alignment with the MongoDB connections that are supported by Alteryx Server.
Hello,
I had a business case requiring a cost effective and quick storage solution for real time online sourced survey data from customers. A MongoDB instance would fit the need, so I quickly spun up a cluster on Mongo Atlas. Atlas was launched by MongoDB in 2016 as a database-as-a-service deployed on AWS. All instances for Atlas require TLS/SSL to connect. Currently, the Alteryx MongoDB connector does not support TLS/SSL connections and doesn't work against Atlas. So, I was left with a breakdown in my plan that would require manual intervention before ingesting data to Alteryx (not ideal).
Please consider expanding this functionality on all connectors. I am building Alteryx out in my agency as a data platform that handles sensitive customer information (name, address, email, etc.). Most tools I use to connect to secure servers today support this type of connection and should be a priority for Alteryx to resolve.
Thanks,
Mike Schock
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