About ankitd

SASKiwi · ‎08-23-2022

My understanding is that you can't use S3 for "normal" SAS libraries / storage, that is, SAS7BDAT files. S3 is for other file types like text and delimited files. If you are using SAS Viya, then SASHDAT-format files can be stored on S3.

LalitPatel · ‎03-13-2022

I think it is because you are trying to connect SAS ESP server with your localhost, which is inaccessible to SAS ESP server. You may try to make your localhost accessible to the Internet by "port forwarding".

Goodliffe_SAS · ‎03-02-2021

I'm glad to hear that you're tackling this use case. It definitely can make a very positive impact by rescuing those being hurt and helping protect those at risk of being trafficked. @SABO_SAS and I have worked through some approaches of the intersection of analytics with investigative work which seems to be what you're looking to do. Our primary objective was to have the analytics generate a strategic analysis for broad patterns, trends, threats, etc. From there the analytics and data were fed to a tactical environment for investigators, analysts to do something about the problem or understand it at a deeper level. Like @SABO_SAS I'd be happy to provide some high-level guidance on the strategy, design, or technological aspects of this use case, specifically SAS Visual Investigator, if that would be helpful for you.

ankitd · ‎10-05-2020

Thanks @doug_sas and @kdebruhl for your valuable inputs, unfortunately owing to client security policies we do not have a direct access to the SAS environment and receive only the LSF files for analysis. Have finally managed to decrypt the date time in a user readable format by using the below Linux command date -u -d @dateinteger (present in the LSF file)

ankitd · ‎08-20-2020

You will need to install the CLI on the SAS compute node and then initialize the AWS config post which using the normal PUT and GET statements of AWS you can upload and download the objects from the bucket/s.

niraj5aug · ‎03-19-2020

Hello, The basic requirement is to setup the Azure Devops pipeline which will be integrated with SAS Model Manager for machine learninig. It should create the data models and deploy into the containers with the application code. Basically Mchine learning process has to be automated through azure devops. Need you suggestions on what all possible way's to acheive the same. Tools Used: 1. SAS Model Manager SAS Model Exploration – Visual Data Mining and Machine Learning 2. Python Libraries 3. Azure DevOps 4. SAS Jupyter Lab Regards Niraj

SASKiwi · ‎09-18-2019

If these are libraries connect to external databases then using the DEFER = YES option can improve assignment times.

JimSchneider · ‎09-18-2019

That is correct. The validate is just running some regular expressions to do some basic syntax and structural validation. The real check is to run a scenario test where Scenario Administrator actually loads the Data into CAS and attempts to run the Data step code.

alexal · ‎09-12-2019

@ankitd , I would suggest you open a track and our performance specialist will assist you with these questions.

aquadri · ‎09-11-2019

Yes, I think I should do that. Thank you. Appreciate your help.

MariaD · ‎09-11-2019

Thanks to all. We reviewed the environment variables definition and we find an extra "/" that cause the problem. Regards,

doug_sas · ‎05-06-2019

There are a couple ways of doing this in SAS Workload Orchestrator both using time-based configuration. You can change the queue configuration based on time to change the list of hosts that can be used for a certain period of time. You can change the host type configuration based on time to set the maximum number of jobs on a host type to 0 during a certain period of time. Create one host type for hosts you want to keep open and one host type for hosts that you want to close. SAS Workload Orchestrator has no facility to kill jobs that are still running outside of a time window. If you are using LSF, you could change the queue configuration to eliminate hosts for the period of time you want. LSF also has DISPATCH_WINDOWs and RUN_WINDOWs on queues and DISPATCH_WINDOWs on hosts that regulate when jobs can be scheduled (DISPATCH_WINDOW) or run (RUN_WINDOW).

Kurt_Bremser · ‎01-25-2019

SQS is a messaging service. What you put into the queue, comes out of it. So your second question makes no sense at all, because it's up to the users what they put into the queue.

ankitd · ‎01-25-2019

Thank You Janice

ankitd · ‎01-25-2019

Thank You Janice

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Date Last Visited	‎04-30-2022 08:06 AM

Exposing human trafficking networks with AI

Re: Platform LSF Log files

Platform LSF Log files

Re: Proc S3 Connectivity Issue

Re: Proc S3 Connectivity Issue

Re: Proc S3 Connectivity Issue

Re: Proc S3 Connectivity Issue

Proc S3 Connectivity Issue

SAS ESP Connectivity to Postgres DB

Re: Error in Data Step Scenario run in SAS Visual Scenario Administrat...

Decarbonization

Re: Sorting data in SAS ESP

Re: SAS Grid on Cloud

Re: SAS Grid on Cloud

Re: CLI ERROR - SAS/ACCESS to Amazon Redshift

Re: Platform LSF Log files

Re: SAS with Azure DevOps

SAS Grid on Cloud

Re: SAS with Azure DevOps

AI-Driven Transformation – Generating Insights for the Customer Q&A, S...

AI-Driven Transformation: Making the Move From SAS®9 to SAS® Viya® On-...

Exposing human trafficking networks with AI

Re: SAS and AWS S3

Re: SAS ESP Connectivity to Postgres DB

Re: Exposing human trafficking networks with AI

Re: Platform LSF Log files

Re: Proc S3 Connectivity Issue

Re: SAS with Azure DevOps

Re: Taking time to connect SASApp through SAS EG.

Re: Error in Data Step Scenario run in SAS Visual Scenario Administrat...

Re: CPU and Memory Consumption stats

Re: Unable to create libname for sas 9.4 64-bit odbc

Re: Oracle 12c | Unable to connect to Oracle-Oracle environment

Re: SAS Grid on Cloud

Re: SAS 9.4 integration with AWS SQS

Re: SAS AML 7.1 Workflows

Re: SAS AML 7.1 UI Customization