商品編號：TIC2411
商品名稱：MS 10777A Beta part2 Virtual Machines Implementing a Data Warehouse With SQL Server 2012 視頻教學 英文正式版
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銷售價格：200
瀏覽次數：33690
商品名稱：MS 10777A Beta part2 Virtual Machines Implementing a Data Warehouse With SQL Server 2012 視頻教學 英文正式版
碟片數量：1片
銷售價格：200
瀏覽次數：33690
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MS 10777A Beta part2 Virtual Machines Implementing a Data Warehouse With SQL Server 2012 視頻教學 英文正式版
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:
mplementing a data warehouse.
eveloping SQL Server Integration Services (SSIS) packages for data extraction, transformation,
and loading (ETL).
nforcing data integrity by using Master Data Services.
leansing data by using Data Quality Services.
At Course Completion
After completing this course, students will be able to:
escribe data warehouse concepts and architecture considerations.
elect an appropriate hardware platform for a data warehouse.
esign and implement a data warehouse.
mplement Data Flow in an SSIS Package.
mplement Control Flow in an SSIS Package.
ebug and Troubleshoot SSIS packages.
mplement an SSIS solution that supports incremental data warehouse loads and changing data.
ntegrate cloud data into a data warehouse ecosystem infrastructure.
mplement data cleansing by using Microsoft Data Quality Services.
mplement Master Data Services to enforce data integrity.
xtend SSIS with custom scripts and components.
eploy and Configure SSIS packages.
escribe how information workers can consume data from the data warehouse.
