How to establish effective processes and policies to acquire, store, organize, and maintain data. Gain knowledge in how a strong data management system can enable faster responses to market dynamics and customer needs.
In the previous articles, we discussed the main pieces to consider when designing and implementing an Extract Transform and Load
The final two steps, identification and persistence, can make or break the data chain. Identification handles the deduplication of data and informs the system of it should be persistence. Understanding how data will be used by the system informs if the data is Single, Submitter, Transaction Source. Once data is identified persistence is easy
In the last article of the Extract Transform and Load (ETL) series, we talked about how using a canonical object
Overview In the last article in my Extract Transform and Load (ETL) series, Submission Information Packages and High-level Validation, I
The first two major pieces of an Extract Transform and Load pipeline are the Submission Information Package (SIP) and High-level
Subselects can be used in many ways: filtering, retrieving specific data, and creating custom joins. Writing effective SQL using subselects,
From door to door canvassing to electronic questionnaires, surveys are a tried and true way to collect customer information. There