In his article Healthcare's Big Problem With Little Data, author Dan Munro raises salient points about the state of health-related data. Electronic Health Records (EHR) were promoted as the end-all-be-all solution for the industry – a standardization that, I suppose, many thought would organically and naturally occur, stabilize, and be ...

Introduction This post is part of a series of posts on ETL Instrumentation. In Part 1 we built a database to hold collected SSIS run time metrics and an SSIS package to deomnstrate how and why we would load metrics into the database. In Part 2 we expanded on our database and the SSIS package to annotate version metadata, manage error metrics ...

Introduction  This post is part of a series of posts on ETL Instrumentation. In Part 1 we built a database to hold collected SSIS run time metrics and an SSIS package to deomnstrate how and why we would load metrics into the database. In Part 2 we expanded on our database and the SSIS package to annotate version metadata, manage error ...

Introduction This post is part of a series of posts on ETL Instrumentation. In Part 1 we built a database to hold collected SSIS run time metrics and an SSIS package to deomnstrate how and why we would load metrics into the database. In Part 2 we will expand on our database and the SSIS package to annotate version metadata, manage error ...

Introduction   SSIS is a fantastic ETL engine. When I build an ETL solution in SSIS, I like to collect runtime metrics. Why? I use the data initially to determine a baseline for performance and to determine, in some cases, if I'm loading within a defined window.   I refer to this process of collecting ...