After you have accessed your data on Bing Ads, you will have to transform it based on two main factors,
1. The limitations of the database that is going to be used
2. The type of analysis that you plan to perform
Each system has specific limitations on the data types and data structures that it supports. If you want to push data into Google BigQuery, you can send nested data like JSON directly, but keep in mind that in the case of a SOAP API like Bing Ads, you get XML responses.
When dealing with tabular data stores, like Microsoft SQL Server, this is not an option. Instead, you will have to flatten out your data, just as in the case of JSON, before loading into the database.
Also, you have to choose the right data types. Again, depending on the system that you will send any data to and the data types that the API exposes to you, you will have to make the right choices. These choices are important because they can limit the expressivity of your queries and limit your analysts on what they can do directly out of the database.
With Bing Ads, you have two main additional sources of complexity. When it comes to data types you have to keep in mind that SOAP is using XML to describe the service and the data. Every data type you have to map is coming from XML and might have automatically been transformed into the primitive data types of the language you are using.
Also, you have to consider that the reports you’ll get from Bing Ads are like CSV files in terms of their structure and you need to identify somehow what and how to map to a table into your database.
Data in Snowflake is organized around tables with a well-defined set of columns, with each one having a specific data type.
Snowflake supports a rich set of data types. It is worth mentioning that a number of semi-structured data types is also supported. With Snowflake, is possible to load directly data in JSON, Avro, ORC, Parquet, or XML format. Hierarchical data is treated as a first-class citizen, similar to what Google BigQuery offers.
There is also one notable common data type that Snowflake does not support. LOB or large object data type is not supported. Instead, you should use a BINARY or VARCHAR type. But these types are not that useful for data warehouse use cases.
A typical strategy for loading data from Bing Ads to Snowflake is to create a schema where you will map each endpoint to a table.
Each key inside the Bing Ads endpoint responses should be mapped to a column of that table, and you should ensure the right conversion to a Snowflake data type.
You will need to ensure that as the Bing Ads API’s data types might change, you will adapt your database tables accordingly; there’s no such thing as automatic data typecasting.
After you have a complete and well-defined data model or schema for Snowflake, you can move forward and start loading your data into the database.