In our last post, we explored how the meaning and importance of data dictionaries have changed over time. 20 years ago, a data dictionary referred to a list of field names and types spit out by a database. Now, a data dictionary serves as a sort of spec sheet for a dataset: it must beContinue reading “Data vendor tear sheets and why they matter”
Why does everyone hate their data dictionary? A sort of meta-spreadsheet, a data dictionary on its face sounds like a relatively simple thing. It is a document describing the meaning of a dataset. Typically this includes field names and types (e.g. integer, unicode, float) and maybe some annotations that describe the lineage of the data (where did it come from) and the business definition. But as with many workflows that are captured in spreadsheets, things can go awry very quickly.
After you create your Syndetic account, we want to make it as easy possible for you to get started creating shareable data dictionaries. After you first create your account, you are brought to this screen: There are two workflows: one for users who already maintain a data dictionary and would like to import it intoContinue reading “Getting started”
At Syndetic we make software for data companies. Syndetic literally means connective. It comes from the Greek word syndetikos, which means to bind together. We chose this name because data is connective. While it has become a cliche that data is the new oil, we actually see data as the connective tissue that binds companies to eachContinue reading “Introducing Syndetic”