What is a sql server data dictionary and why would i want to create one_

A SQL Server database can be thought of, in and of itself, as a data dictionary. Iphone 5 data recovery without backup It is self-describing, in that objects can be scripted into Data Definition Language aka DDL scripts to view all attributes, quickly and easily.

SQL Server has functions like sp_helptext to further help describe database objects as well as system views to present views of the database and object collections in a variety of ways.


Bplan data recovery The self-describing nature of a database can be enhanced with Extended properties, which allow user defined descriptions to be attributed to objects at various levels in the database.

Documentation can be referred as a single instance, or snapshot, the database rendered in an easily readable, user friendly format like HTML or compiled HTML (e.g. Data recovery boston ma chm) that any user can view, even without database experience.

A database, itself, and database documentation are great, but they are one dimensional snapshots in time. Ipad 2 data recovery Neither can provide the context of changes or history. Data recovery company Version (or source) control provides a solution for that in that all objects can be versioned over time, allowing a user to browse any version of an object or even the entire database in time

Full version control and history of all versioned objects with all of the features offered from popular source control systems like labels and version history.

Allows for iterative checking in and checking out of objects, so that a source control archive isn’t just a collection of snapshots but a close-to-real-time rendering of the database status

But since a database dictionary exists, itself, in a database, unlike version control, it lends itself to being easily queried and reported against

A simple data dictionary is a repository of information about the database, usually in a database itself, that stores object information and attributes, versioned over time.

Dumb dictionaries are repository of schema snapshots, regardless of what if any data changed. Data recovery network drive Such dumb dictionaries can be created by simply scripting the schema to a table nightly.

This raw data provides a true representation of the database state but since most of the records are duplicates, versions of the same unchanged objects, much of the value of a data dictionary can’t be unlocked. Data recovery yelp A version history could be easily created from a dumb dictionary, but most of the “versions” would be duplicates. Database join table As most of the objects are static versions of what existed, vs what changed, it wouldn’t be possible to query the data for information about change transactions like the number of objects a user changed each month

“Smart” data dictionaries start with a baseline and write only data that has changed. Google database This allows users querying the data to mine real information, knowing that each new version of an object, represents an actual change. Database quizlet In this way, a version history of an object would show only versions that actually changed, making this feature as powerful as version history in source control.

Knowing that each object record reflected an actual change, we can layer on lots of value added reports that instantly tell the transactional history of the database e.g. Database synonym changes per day/month/year, changes by user, the object with the most changes etc.

By unlocking the potential to see a true object change history and isolate specific changes without having to sort through duplicates, coupled with the ability to run investigative queries, would transform even the simplest “smart” data dictionary into a powerful tool for forensic auditing and even recovery, as any changes could be easily reverted to a previous version

The primary purpose of a data dictionary is to be an auditing archive of changes that is easy to query and report on. Database management jobs Large amounts of data can be stored efficiently leveraging the power of a RDBMS. Iphone 6 data recovery free Data can be easily filtered, extracted, sorted and grouped into meaningful reports.

A data dictionary provides information that can easily be converted into other views. Data recovery ubuntu For example, you could query your data dictionary to see the full history of changes for a particular object

A data dictionary can be used for version control and auditing purposes, even without using a source control repository, clients or having developers even know changes were being logged. Database diagram tool In this way, setting up such a “poor man’s” version control system is a straightforward task of creating the data dictionary

Data dictionaries provide a great medium for transactional and aggregate reporting. Database field types Since the data dictionary is a repository of all changes, it can be used to create reports to track the count of transactions over time, by user, by object and produce a series of reports, that provide great insight into the transactional changes of a database over time, like shown below:

In the next part of this series, How to build a “smart” SQL Server Data dictionary, I’ll explore How to create a Smart SQL Server data dictionary and in the final article in the series, I’ll explore how to leverage it to its full advantage for object history and change auditing as well as transactional reporting. Data recovery best buy Stay tuned!

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