Data Management:

Data in your instance is stored and managed by a principled structure that managers can view and configure. Data administration functions include importing, exporting, and archiving database data and configuring fields and tables. To effectively manage and improve your systems, you have to know exactly what resources are in your IT condition and have present exact configuration data. With an exact configuration management database (CMDB), it’s easy to understand your association’s IT environment, especially in the areas of service impact analysis, resource management, compliance, and configuration management.

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Data Management

The ServiceNow CMDB gives a single system of record for IT. At the point when combined with ServiceNow Service Mapping, the CMDB becomes  service‑aware which empowers your ServiceNow applications to be service‑aware too. Presently with your CMDB, you increase full visibility of your infrastructure and services, leading to more control of your environment and better choices.

Below are the some important features of Data management

The information is stored in database tables and records.

Different tools exist to deal with this data.

The schema map displays CI relations graphically.

Data word reference tables store structure and relationship definitions.

Data import and  export simplifies managing large data sets through import maps and various exportable formats.

Different modules give extra functionality.

Field standardization makes records more reliable and prevents duplication of data.

Data base structure:

The majority of the data in the instances is stored in tables, which consists of a series of records. The record thus holds a series of fields that hold the individual bits of information and can be viewed either as a list or a form.

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Table can be related to each other in many ways:

Extensions:  A table can extend another table. The table expanding incorporates the majority of the fields of the other table (parent class) and includes its own fields. For example, the Incident [incident] table has the majority of the Task [task] table fields (on the grounds that an occurrence is an exceptional type of errand) and has its own incident specific tasks.

One – to – Many: A field can hold a reference to a record on another table with in a table.

There are three types of one-to-many relationship fields.

Reference Field: It enables a user to choose a record on a table defined by the reference field. For example, the Caller field on the Incident table enables the user to choose any record on the User table.

Glide List:  It enables a client to choose different records on a table characterized by the glide list. For example, the Watch list field on the Incident table enables the client to choose records on the User table.

 Document ID Field: enables a user to choose a record on any table in the table. These fields are substantially less common, yet one example is the Document field on the Translated Text [sys_translated_text] table.

Many- to – Many: Two tables can have a bi-directional relationship, with the goal that the related records are visible from the two tables in a related list.

Database Views: Two tables can be joined for all purposes with Database Views to         enable reporting on data that may be put away stored over more than one table.

Data management Tools:

 There are number of data a management tool that helps to manage the data.

Schema map: The Schema Map shows the connections between tables visually, exploring through the database structure. The Schema Map gives an interface to review the connections between tables. The inter  table connections it captures  incorporate many-to-many relationships ,  tables that extend other  tables, and tables that reference  other tables through reference fields.

Data Dictionary Tables: Data dictionary tables hold data that characterizes the database and can accesses data on the database schema.

Table Cleaner: The system automatically  records from particular tables after a particular time to deletion. Erasing these records naturally keeps the tables from developing to an unmanageable size. The time before a record is deleted starts on the date and time value in the tracked field.

 Recommended Audience:

Software Developers

Project Mangers

Analytical Professionals

ETL professionals

Prerequisites: It is good to have a knowledge on coding and data bases like SQL , MySQL. But it is not Mandatory .Trainers will teach you from the basics

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