Designing the Data Tier for Microsoft SQL Server 2005 (2783)

OBJETIVOS
This course provides students with the knowledge and skills to design the data tier for Microsoft SQL ServerT 2005. The course focuses on teaching database developers working in enterprise environments to understand and decide how application developers are going to access and consume their data. This is a major failure point of database solutions today.
After completing this course, students will be able to:
Choose data access technologies and an object model to support an organization's business needs.
Design an exception handling strategy.
Choose a cursor strategy.
Design query strategies using Multiple Active Result Sets (MARS).
Design caching strategies for database applications.
Design a scalable data tier for database applications.

PARTICIPANTES
This course is intended for current professional database developers who have three or more years of on-the-job experience developing SQL Server database solutions in an enterprise environment.

EQUIPOS Y DURACIÓN
Se dispone de un ordenador por alumno. El curso tiene una duración de 6 horas (consultar los horarios disponibles en el calendario de New Horizons). El nº de plazas es limitado.

 

[Temario]

Choosing Data Access Technologies and an Object Model
Introduction to Data Access Technologies
Choosing Technologies for Accessing Data
Building a Data Access Layer
Designing Data Access from SQL Common Language Runtime (CLR) Objects
Available Data Object Models for Administering SQL Server

Designing an Exception Handling Strategy
Exception Types and Their Purposes
Detecting Exceptions
Managing Exceptions

Choosing a Cursor Strategy
Common Scenarios for Row-Based vs. Set-Based Operations
Selecting Appropriate Server-Side Cursors
Selecting Appropriate Client-Side Cursors

Designing Query Strategies Using Multiple Active Result Sets
Introduction to MARS
Designing Query Strategies for Multiple Reads
Designing Query Strategies for Mixing Reads and Writes in the Same Connection
Concurrency Considerations When Using MARS

Designing Caching Strategies for Database Applications
Why Caching Is Important
Data and Query Caching in SQL Server 2005
Using Caching Technologies Outside of SQL Server
Custom Caching Techniques

Designing a Scalable Data Tier for Database Applications
Identifying the Need to Scale
Scaling Database Applications to Avoid Concurrency Contention
Scaling SQL Server Database Systems
Scaling Database Applications Using a Service-Oriented Architecture
Improving Availability and Scalability by Scaling Out Front-End Systems