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Data Management

July 31, 2013
by

Divine Bariuan

on 31 July 2013

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Transcript of Data Management

Data,
Text,
and Document
Management

is a structured approach for capturing, storing, processing, integrating, distributing, securing, and archiving data effectively throughout its life cycle.
Data Management
The goal of data management is to provide the infrastructure and tools to transform raw data into usable corporate information of the highest quality.
G
A
L
Data Warehouse
2
is a specialized type of database that aggregates data from transaction databases so it can be analyzed.
1
Database
stores enterprise data that company’s business applications create or generate, such as sales, accounting, and employee data
Data Errors and Inconsistencies
Mistakes and Lost Opportunities
The viability of business decisions depends on access to high-quality data, and the quality of data depends on effective approaches to data management
Chapter 3
Database
File
Record
Record
Field
Field
Field
Field
Byte
Byte
Byte
Byte
Bit
Bit
Bit
Bit
File Management System
way to store and retrieve information from disk drives; controls how files can be created, accessed, retrieved, and deleted.
Data Access Methods
Direct File
Organization
Sequential File Organization
Limitations
Data redundancy
Data inconsistency
Data isolation
Data security
Centralized Database
VS
Distributed Database
Database Management System (DBMS)
- a program that provides access to database
- enables many different users to share data and process resources
Major Data Functions
Data filtering and profiling
Data quality
Data synchronization
Data enrichment
Data maintenance
Data Warehouse
Data warehouses and regular databases both consist of data tables (files), primary and other keys, and query capabilities.
The main difference is that databases are designed and optimized to store data, whereas data warehouses are designed and optimized to respond to analysis questions that are critical for a business
Full transcript