Data Breads Data
The average end user doesn’t realize all the data involved in maintaining a single
displayed field. There is data that tells the data base what type of data is being
stored there’s data that describes the association of the data with other data and
it goes on and on. You just can’t have data without more data, we use the term “Metadata”
to describe all this data about data.
The management and consumption of the data is usually complicated by all the meta-data
related to the required data. One means of dealing with the data is to classify
it using semantic understanding of what the data is. For instance in the SEO world
you might have a list of “Search Engine Results Page” rankings for several keywords
you’ve targeted. This list contains two things, a keyword, and your numerical listing
for that word. You might look at the data and see a single understanding of the
list. However though logical and semantic analysis of the data via associated mappings
you can determine other trends and valued details about your data.
Bradfordwatkins.com is using these and other data driven practices to build the
tools SEO clients need to stay on top of their SEO footprint.
Data Analytics, Integration and Migration
Data analysts are constantly trying to determine the best way to approach data analysis.
The ability to understand your data’s true meaning is the root of all interoperability
solutions. Applying semantic and logical meaning to the data elements helps determine
where and what your data is used for. From punch cards to USB flash drives people
have needed to convert data from one bit to another. The process isn’t new or under
analyzed. However, it’s the semantical and logical understanding of the data that
determines how and where that data is useful. Using a disconnected semantic definition
of your data allows for interoperability mappings to interface with none logical
data storage and maps.
Read more about semantic data definitions at bradfordwatkins.com.