About dandsouza

dandsouza · ‎03-26-2023

Hi Patrick, Thank you for the revert, The data of the file is as below Name of the File , Execution Date IncomeCalc 01Dec2021 IncomeCalc 02Dec2021 IncomeCalc 03Dec2021 IncomeCalc 04Dec2021 IncomeCalc 05Dec2021 IncomeCalc 06Dec2021 IncomeCalc 07Dec2021 DonateCalc 07Dec2021 ExpenseCalc 15Dec2021 IncomeCalc 08Dec2021 IncomeCalc 09Dec2021 IncomeCalc 19Dec2021 IncomeCalc 11Dec2021 IncomeCalc 12Dec2021 IncomeCalc 13Dec2021 IncomeCalc 14Dec2021 DonateCalc 07Dec2021 . . . . . . ExpenseCalc 30Dec2021 Analysis - Bucket the file by frequency such as (Daily, Weekly, Monthly) With regards to your query We dont have the source of the above input, neither is there any linkage provided and Yes we are working on multiple approach, one of time is to understand the date interval function to set a Frequency flag ( Daily, Weekly, Montly).

dandsouza · ‎03-25-2023

Hello All We are been provided a batch of 10k files and its execution dates that were executed at varied frequency, we are now task to break down this batch into various execution frequency such as Daily , Weekly, Monthly , Quarterly, just checking if anyone has done something wherein they analyzes the date column and provide this analysis Regards Danny

dandsouza · ‎03-13-2023

Dear SASKiwi Thank you for your revert, We were looking for around 100 - 200 SAS logs, which we want to use to test for a functionality we are looking to test. Best regards

dandsouza · ‎03-11-2023

Hello All Would appreciate if anyone can share or direct where we can get a dump of SAS Server Logs ( Workspace, Batch, Stored process). Your support would be highly appreciated Regards Danny

dandsouza · ‎02-25-2022

Team Name ESG_Assist Track Banking,Retail,Insurance Use Case Many of the organization are having social commitments to be net-zero or achieve deep reductions in the carbon emissions across their value chains. In order to achieve these commitments the organization should have robust tools and processes around how they evaluate emission reduction projects that are commercially viable today while also monitoring the landscape of emerging emissions abatement options. Technology SAS VIYA, Open Source Region North America Team lead Danny Dsouza Team members Pavan Pallapothu; Rajas Rade; Ria Dabra; Vani Verma; Dishen Pancholi Social media handles *all team members' social media links here* Is your team interested in participating in an interview? Y Optional: Expand on your technology expertise

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