What is Data Management?
by: lakhosoft
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Word Count: 1014
The Definition:
Data Management is the comprehensive series of procedures to be followed and have developed and maintained the quality data,
using the technology and available resources. It can also be defined
that it is the execution of architectures under certain predefined
policies and procedures to manage the full data lifecycle of a company
or organization. It is comprised of all the disciplines related to data
management resources.
Following are the key stages or procedures or disciplines of data management:
1. Database Management system
2. Database Administration
3. Data warehousing
4. Data modeling
5. Data quality assurance
6. Data Security
7. Data movement
8. Data Architectures
9. Data analysis
10. Data Mining
1. Database Management system:
It
is one of the computer software from various types and brands available
these days. These software are designed for specifically for the
purpose of data management. These are few of these; Ms Access, Ms SQL,
Oracle, MySql, etc. The selection of any one of these depends upon the
company policy, expertise and administration.
2. Database Administration:
Data
administration is group of experts who are responsible for all aspects
of data management. The roles and responsibilities of this team depends
upon the company’s over all policy towards the database management.
They implement the systems using protocols of software and procedures,
to maintain following properties:
a. Development and testing database,
b. Security of database,
c. Backups of database,
d. Integrity of database, and its software,
e. Performance of database,
f. Ensuring maximum availability of database
3. Data warehousing
Data warehousing, in other words is the system of organization of historical data, its storage capability etc. Actually
this system contains the raw material for the management of query
support systems. That raw material is such that the analysts can
retrieve any type of historical data in any form, like trends, time
stamped data, complex queries and analysis. These reports are essential
for any company to review their investments, or business trends which
in turn will be used for future planning.
The data warehousing are based on following terms:
a. The databases are organized so that all the data elements relating to the same events are linked together,
b. All changes to the databases are recorded, for future reports,
c. Any data in databases is not deleted or over written, the data is static, readable only,
d. The data is consistent and contains all organizational information.
4. Data modeling
Data
modeling is the process of creating a data model by applying and model
theory to create data model instance. The data modeling is actually,
defining, structuring and organizing the data using predefined
protocol. Then the theses structures are implemented in data management
system. In addition, it also will impose certain limitation on the
database with in the structure.
5. Data quality assurance
Data
quality assurance is the procedure to be implemented in data management
systems, to remove anomalies and inconsistencies in the databases. This
also performs cleansing of databases to improve the quality of
databases.
6. Data Security
It
is also called as data protection, this is system or protocol which is
implemented with in the system to ensuring that the databases are kept
fully safe and no one can corrupt by access controlling. The data
security, on other hand, also provides the privacy and protection to
the personal data. Many companies and governments of the world have
created law to protect the personal data.
7. Data movement
It is one term broadly related to the data
warehousing that is ETL (Extract, Transform and Load). ETL is process
involved in data warehousing and is very important as it is the way
data is loaded into the warehouse.
8. Data Architectures
This is most important part of the data management system;
it is the procedure of planning and defining the target states of the
data. It is, realizing the target state, describing that how the data
is processed, stored and utilized in any given system. It created
criterion to processes the operation to make it possible to design data
flows and controls the flow of data in any given system.
Basically,
data architecture is responsible for defining the target states and
alignment during the initial development and then maintained by
implementations of minor follow-ups. During the defining of the states,
data architecture breaks into minor sub levels and parts and then
brought up to the desired form. Those levels can be created under the three traditional data architectural processes:
a. Conceptual, which represents all business entities
b. Logical means the how these business entities are related.
c. Physical, is the realization of the data mechanism for specific function of database.
From
above statements, we can define that the data architecture includes
complete analysis of the relationship between functions, data types and
the technology.
9. Data analysis
Data
analysis is the series of procedures which is used to extract required
information and produce conclusion reports. Depending upon the type of
the data and the query, this might include application of statistical
methods, trending, selecting or discarding certain subsets of data
based on specific criteria. Actually, data analysis is the verification
or disproval of an existing data model, or to the extract the necessary
parameters to achieve theoretical model over realty.
10. Data Mining
Data
mining is the procedure to extract unknown but useful parameters of
data. It also can be defined that it is the series of procedures to
extract the useful and desired information from large databases. Data
mining is the principle of sorting the large through the large amount
of data and selected the relevant and required information for any
specific purposes.
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About the Author
Nawaz Lakho is the owner of LakhoSoft, An IT Intelligence and quality on-line web service. He is web designer and developer. LakhoSoft has build a worldwide reputation in web design and development, graphic design and presentations, search engine optimization, link exchanges, data management, data entry and sourcing, virtual administration service to clients in North America. They are also offering freelance services for our offshore clients. In this regard lakhoSoft have earned lot of positive feedback from my clients.
If you are looking for: Quality web design and development, Quality graphic designs and presentations (Flash and PPT), Search engine Optimization, Link exchanges, , search engine submissions, keywords selection and research, Database creation, data research, data entry article submission, data management contact them.
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