Tài liệu Activity 9.5: Identifying Data Storage ppt

Activity 9.5: Identifying Data Storage
Requirements
In this activity, you will first identify the optimal data storage technology to use
in a given situation. Next, you will analyze the data storage technology
selection in a scenario.
Objectives
After completing this activity, you will be able to:
!
Identify the appropriate data storage service for a given set of requirements
and constraints.

Before You Begin
This activity includes both small group tasks and class discussion.
Prerequisites
There are no prerequisites for this activity.
Materials
There are no materials for this activity.
Time to complete this activity: 15 minutes followed by a 10 minute
discussion.
78 Activity 9.5: Identifying Data Storage Requirements



Exercise 1: Identifying a Data Storage Method for a Scenario (10
minutes)
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Identify data storage requirements
1. Participate in small groups as assigned by the instructor.
2. Read each scenario below.
3. Identify which data storage technology best meet the needs described in the

scenario.
4. Write your answers below.


After completing the above steps, you will discuss your responses with the
class. The instructor will write the class consensus on a flip chart.
Scenarios

A The goal is to develop an address book application that is easy to use.
File sizes are unimportant, but ease of use is paramount.
B A 200-user data entry system. A high data-entry rate is required.


Solution


A






B

Activity 9.5: Identifying Data Storage Requirements 79



Exercise 2: Analyzing Technology Selection (5 minutes)
!
Analyze technology selection
1. Participate in small groups as assigned by the instructor.
2. Validate the feasibility of the solution given in the scenario.
3. Make any comments in the space below.
4. The instructor will discuss answers after the activity is complete.

After completing the above steps, you will discuss your responses with the
class. The instructor will write the class consensus on a flip chart.
Scenario
The company has developed a proprietary engine for accessing schedule
information from flat files. Each text file is stored on a network share and has
between 10,000 and 200,000 rows of data. Each row is 512 characters long.
Analysis
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