Hello folks, I looked into this a bit more and have some solid information to share in this video.  Enjoy!!      And here's the link that I spoke of in the video... Base Programming Credentials ... View more

Ioanna,   I see clearly the scenario you are depicting.  Unfortunately, once a Data Plan has been saved and established it expects to be served with the same schema for each run.  The data sources and content can be dissimilar, as long as the schema matches the original data source.    As transformations are associated with a Data Plan, the transformations are working against specific columns/data types. When your view undergoes schema change, any transformations that worked directly against a "now-gone" column would be come invalidated.  This may invalidate one transformation and have a cascading effect through others.    Answering your question directly;  structural changes made in the schema of your view would require intervention on your part.   Quick thought: most difficulties occur when your view has dropped a column and a transformations in your Data Plan performs actions on that dropped column.  Conversely, If your view added a column, the Data Plan does not worry quite so much because the new column has no association with transformations in your Data Plan.      Regards, Daniel   Daniel Paner Principal Product Manager SAS Viya Data Management         ... View more

Ahmed,   Thanks for bringing this up and explaining a bit further. Yes, we keep track of the crowding market spanning analytics, data management, and more. Our customers, in part, help drive the direction of products and services. Technology is another part, and the prevalence of cloud apps (or hybrid scenarios), AI and ML, and data storage tech has helped guide our Viya offering as well. I can say there’s no resting on past success here. I hope you continue to follow SAS’ development through channels like this nurturing community.   Regards, Dan ... View more

Ahmed, Thank you for your question.  I'm not in marketing or sales, so forgive me if this doesn't sound polished!   All of the offerings you listed have their pros and cons.  Making a feature-by-feature comparison isn't likely going to really answer your question, so I'll take a different tack.     Two points.  1) Platform, and 2) Products   The SAS platform is an important part of our offerings.  Yes, lots of companies have platforms.  Ours is predicated on the notion that there is a flow to discovering data, getting it ready, analyzing it, and coming up with the insight (and confidence!) people need to change their business for the better.  The capabilities on this platform (like preparation and analytics) are purpose-built to work together.  And they cater to many types of people with different skill sets; from occasional user to expert.   The SAS platform is a powerhouse.  Multiple parallel processing, in-memory processing, in-database processing - everything need to process huge amounts of data into actionable information.  It's great to see a customer Prepare a huge dataset, then click right over to Analytics and start investigating and visualizing data without long waits.  Plus we can run in a public or private could, on-prem, or hybrid.   Our Exploration and Data Preparation offerings are very compelling against the competition.  Plus, we add Governance, which for anyone worrying about the dissemination of personal information, this is a really good thing.  And of course, SAS Analytics - we do it better than anyone.     We're not open source, and, yes, we do charge a fair price for our products.  Helps us make R&D investments so we can continue to make better products.   Finally, SAS has notoriety as a trustworthy partner.  And that comes from having an unparralled depth of experience and a driving interest in building products that you find valuable.  This community is just one example - these discussions guide us, validate us, and tells us what customers like or dislike.   I hope this gives you some insight!   Thanks, Dan ... View more