會員登錄
軟體搜尋
您的位置： 網站首頁 >> 專業知識教學 >> 電腦教學認證 >> 商品詳情
商品詳情
|
商品編號：TIC2411 碟片數量：1片 銷售價格：200 瀏覽次數：36249 
【轉載TXT文檔】 |
您可能也喜歡：
DVD29802--Udemy - Blender Essential From Beginner to 3D Masterclass (B3D基礎教學) 英文教學版(DVD一片裝)
DVDP4340--哈佛心理學家劉軒線上課程 繁體中文發音中文配音版(DVD9一片裝 此片售價200元)
DVDP4282--Python機器學習 10天學會Sklearn機器學習建模 中文教學版(DVD9一片裝 此片售價200元)
TIC3083--預測未來的極簡統計學 (運用統計學 才能精準解析過去、洞悉未來局勢！) PDF電子書 繁體中文版
DVDP4125--視訊創作攝影課程 教你成為具備導演思維的攝影師 MP4格式 中文教學版(1DVD9+1DVD 此片售價380元)
商品描述
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.
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.