MS 10777A Beta part2 Virtual Machines Implementing a Data Warehouse With SQL Server 2012 視頻教學 英文正式版
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軟體名稱:MS 10777A Beta part2 Virtual Machines Implementing a Data Warehouse With SQL Server 2012 視頻教學 英文正式版
語系版本:英文正式版
光碟片數:單片裝
破解說明:
系統支援:For Windows XP/Vista/7
軟體類型:視頻教學
硬體需求:PC
更新日期:2012-12-28
官方網站:http://www.microsoft.com/learning/en/us/Course.aspx?ID=10777a
中文網站:
軟體簡介:
銷售價格:$80元
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軟體簡介:
Course Outline
About this Course
Data warehousing is a solution organizations use to centralize business data
for reporting and analysis. This five-day instructor-led course focuses on teaching
individuals how to create a data warehouse with SQL Server 2012, implement ETL with
SQL Server Integration Services, and validate and cleanse data with SQL Server Data
Quality Services and SQL Server Master Data Services. This course helps people prepare
for exam 70-463.
Audience Profile
This course is intended for database professionals who need to fulfill a Business Intelligence
Developer role. They will need to focus on hands-on work creating BI solutions including Data
Warehouse implementation, ETL, and data cleansing. Primary responsibilities include:
𣗏mplementing a data warehouse.
䉪eveloping SQL Server Integration Services (SSIS) packages for data extraction, transformation,
and loading (ETL).
𦭵nforcing data integrity by using Master Data Services.
𥺂leansing data by using Data Quality Services.
At Course Completion
After completing this course, students will be able to:
䉪escribe data warehouse concepts and architecture considerations.
笌elect an appropriate hardware platform for a data warehouse.
䉪esign and implement a data warehouse.
𣗏mplement Data Flow in an SSIS Package.
𣗏mplement Control Flow in an SSIS Package.
䉪ebug and Troubleshoot SSIS packages.
𣗏mplement an SSIS solution that supports incremental data warehouse loads and changing data.
𣗏ntegrate cloud data into a data warehouse ecosystem infrastructure.
𣗏mplement data cleansing by using Microsoft Data Quality Services.
𣗏mplement Master Data Services to enforce data integrity.
𦭵xtend SSIS with custom scripts and components.
䉪eploy and Configure SSIS packages.
䉪escribe how information workers can consume data from the data warehouse.
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