購物須知 |  常見問題 |  軟體破解 |  問題反應 |  加入最愛 |  查看購物車
xyz軟體王 新品上架 手動下單 查看購物車

xyz軟體王

xyz軟體銀行

當前位置: 網站首頁 >> 專業知識教學 >> 電腦教學認證 >> 商品詳情
會員登錄
最新上架
商品分類

商品詳情

MS 10777A Beta part2 Virtual Machines Implementing a Data Warehouse With SQL Server 2012 視頻教學 英文正式版
商品編號:
本站售價:NT$200
碟片片數:1片
瀏覽次數:34114

轉載TXT文檔】  

您可能感興趣:

您可能也喜歡:

商品描述


 


 
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.





..::我的購物車::..