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Denodo - Data Processing/Preparation, Python use cases

Hi, We are currently using Denodo mainly for reporting stuffs and predictive analytics. What we are curious about is related to how we should see the Denodo and when it's best case to use and i have few topics related to this: 1. For example if i have a view in oracle database and want to call queries over this view i can do this very easily in oracle, in Denodo it gets kinda of complicated and we are losing too much time to move all this in Denodo istead of using connection directly to database. 2. Can i use Python to prepare the data coming from a datasource in denodo and then create a base view in Denodo ? I'm interested more in **What are the possibilities to massaging/preparing data to be consumed?** I want an answer as technical possible and with arguments if it's possibile please. If you can help me with some documentation,links related to this, please share. Thank you ! Best Regards

1 Answer

Hi, Denodo is a data virtualization tool, which means Denodo is adding a layer of abstraction between consuming applications and data sources that you might be connecting to for the purpose of your use case, irrespective of the structure of data coming from individual data source. Coming to your specific questions: 1. If you are looking for running a very basic query on an existing table with your Oracle database, I am sure there is no requirement to add any abstraction layer. But I am assuming your use cases would be more complex than that. Importing from underlying data sources into Denodo as base views just creates a standard representation in Denodo format irrespective of the underlying data source (which could have SQL tables, web services, excels or any other type of data returned). You can combine views from same/different data sources and also create new fields with combined data without making changes to your data source. So, this process simplifies querying of data, instead of complicating it. 2. Denodo does not store any data, but queries it in real time form the data sources (unless you choose to [cache]( the data). Denodo gives you an option: * To combine multiple objects (for example tables) from the same data source during the creation of base views, or call any function that resides in the data source, when you choose to create a [base view through query]( * To choose from a wide range of [functions]( to enable you to massage the data. However, this can be done only in the derived views, because base views just provide the structure if the underlying data source. Data can be consumed by executing these views. You can also develop [Custom Functions]( if you want something beyond what is provided by Denodo. Hope this helps!
Denodo Team
09-10-2019 11:08:53 -0400
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