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:34700 【轉載TXT文檔】 |
您可能也喜歡:
DVDP4356--The Gnomon Workshop - Designing Spaceships for Games 遊戲太空船概念設計教學 英文教學版(DVD9一片裝 此片售價200元)
DVD29830--The Gnomon Workshop - The Art of Visual Storytelling 視覺故事概念設計教學 英文教學版(DVD一片裝)
TIC3086--新多益滿分講師授課:全新制NEW TOEIC多益閱讀高分關鍵+狠準擬真試題+解析 繁體中文教學版
DVD29802--Udemy - Blender Essential From Beginner to 3D Masterclass (B3D基礎教學) 英文教學版(DVD一片裝)
DVDP4341--Unreal Engine 5 The Complete Automotive Cinematic Course (UE5 電影感車輛製作教學) 英文教學版(DVD9一片裝 此片售價200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.