IC培训
   
 
Sql server R2性能调优培训
 
   班级人数--热线:4008699035 手机:15921673576/13918613812( 微信同号)
      增加互动环节, 保障培训效果,坚持小班授课,每个班级的人数限3到5人,超过限定人数,安排到下一期进行学习。
   授课地点及时间
上课地点:【上海】:同济大学(沪西)/新城金郡商务楼(11号线白银路站) 【深圳分部】:电影大厦(地铁一号线大剧院站)/深圳大学成教院 【北京分部】:北京中山/福鑫大楼 【南京分部】:金港大厦(和燕路) 【武汉分部】:佳源大厦(高新二路) 【成都分部】:领馆区1号(中和大道) 【广州分部】:广粮大厦 【西安分部】:协同大厦 【沈阳分部】:沈阳理工大学/六宅臻品 【郑州分部】:郑州大学/锦华大厦 【石家庄分部】:河北科技大学/瑞景大厦
开班时间(连续班/晚班/周末班):2021年10月3日(欢迎您垂询,视教育质量为生命!)
   课时
     ◆资深工程师授课
        
        ☆注重质量 ☆边讲边练

        ☆若学员成绩达到合格及以上水平,将获得免费推荐工作的机会
        ★查看实验设备详情,请点击此处★
   质量以及保障

      ☆ 1、如有部分内容理解不透或消化不好,可免费在以后培训班中重听;
      ☆ 2、在课程结束之后,授课老师会留给学员手机和E-mail,免费提供半年的课程技术支持,以便保证培训后的继续消化;
      ☆3、合格的学员可享受免费推荐就业机会。
      ☆4、合格学员免费颁发相关工程师等资格证书,提升您的职业资质。

课程大纲
 

At Course Completion
After completing this course, students will be able to:
Describe data warehouse concepts and architecture considerations.
Select an appropriate hardware platform for a data warehouse.
Design and implement a data warehouse.
Implement Data Flow in an SSIS Package.
Implement Control Flow in an SSIS Package.
Debug and Troubleshoot SSIS packages.
Implement an SSIS solution that supports incremental data warehouse loads and changing data.
Integrate cloud data into a data warehouse ecosystem infrastructure.
Implement data cleansing by using Microsoft Data Quality Services.
Implement Master Data Services to enforce data integrity.
Extend SSIS with custom scripts and components.
Deploy and Configure SSIS packages.
Describe how information workers can consume data from the data warehouse.
Course Outline
Module 1 : Introduction to Data Warehousing
This module provides an introduction to the key components of a data warehousing solution and the high-level considerations you must take into account when starting a data warehousing project.
Lessons
Overview of Data Warehousing
Considerations for a Data Warehouse Solution
Lab : Exploring a Data Warehousing Solution
Exploring data sources
Exploring an ETL solution
Exploring a data warehouse
After completing this module, students will be able to:
Describe the key elements of a data warehousing solution.
Describe the key considerations for a data warehousing project.
Module 2 : Data Warehouse Hardware
This module describes the characteristics of typical data warehouse workloads, and explains how you can use reference architectures and data warehouse appliances to ensure you build the system that is right for your organization.
Lessons
Considerations for Building a Data Warehouse
Data Warehouse Reference Architectures and Appliances
After completing this module, students will be able to:
Describe the main hardware considerations for building a data warehouse.
Explain how to use reference architectures and data warehouse appliances to create a data warehouse.
Module 3 : Designing and Implementing a Data Warehouse
In this module, you will learn how to implement the logical and physical architecture of a data warehouse based on industry-proven design principles.
Lessons
Logical Design for a Data Warehouse
Physical Design for a Data Warehouse
Lab : Implementing a Data Warehouse Schema
Implementing a Star Schema
Implementing a Snowflake Schema
Implementing a Time Dimension Table
After completing this module, students will be able to:
Implement a logical design for a data warehouse.
Implement a physical design for a data warehouse.
Module 4 : Creating an ETL Solution with SSIS
This module discusses considerations for implementing an ETL process, and then focuses on SQL Server Integration Services (SSIS) as a platform for building ETL solutions.
Lessons
Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow
Lab : Implementing Data Flow in a SSIS Package
Exploring Source Data
Transferring Data by Using a Data Flow Task
Using Transformations in a Data Flow
After completing this module, students will be able to:
Describe the key features of SSIS.
Explore source data for an ETL solution.
Implement a data flow using SSIS.
Module 5 : Implementing Control Flow in an SSIS Package
Control flow in SQL Server Integration Services packages enables you to implement complex ETL solutions that combine multiple tasks and workflow logic. This module covers how to implement control flow, and design robust ETL processes for a data warehousing solution that coordinate data flow operations with other automated tasks.
Lessons
Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Managing Consistency
Lab : Implementing Control Flow in an SSIS Package
Using Tasks and Precedence in a Control Flow
Using Variables and Parameters
Using Containers
Lab : Using Transactions and Checkpoints
Using Transactions
Using Checkpoints
After completing this module, students will be able to:
Implement control flow with tasks and precedence constraints.
Create dynamic packages that include variables and parameters.
Use containers in a package control flow.
Enforce consistency with transactions and checkpoints.
Module 6 : Debugging and Troubleshooting SSIS Packages
This module describes how you can debug SQL Server Integration Services (SSIS) packages to find the cause of errors that occur during execution. Then module then covers the logging functionality built into SSIS you can use to log events for troubleshooting purposes. Finally, the module describes common approaches for handling errors in control flow and data flow.
Lessons
Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package
Lab : Debugging and Troubleshooting an SSIS Package
Debugging an SSIS Package
Logging SSIS Package Execution
Implementing an Event Handler
Handling Errors in a Data Flow
After completing this module, students will be able to:
Debug an SSIS package.
Implement logging for an SSIS package.
Handle errors in an SSIS package.
Module 7 : Implementing an Incremental ETL Process
This module describes the techniques you can use to implement an incremental data warehouse refresh process.
Lessons
Introduction to Incremental ETL
Extracting Modified Data
Loading Modified Data
Lab : Extracting Modified Data
Using a DateTime Column to Incrementally Extract Data
Using a Change Data Capture
Using Change Tracking
Lab : Loading Incremental Changes
Using a Lookup Transformation to Insert Dimension Data
Using a Lookup Transformation to Insert or Update Dimension Data
Implementing a Slowly Changing Dimension
Using a MERGE Statement to Load Fact Data
After completing this module, students will be able to:
Describe the considerations for implementing an incremental extract, transform, and load (ETL) solution.
Use multiple techniques to extract new and modified data from source systems.
Use multiple techniques to insert new and modified data into a data warehouse.
Module 8 : Incorporating Data from the Cloud into a Data Warehouse
In this module, you will learn about how you can use cloud computing in your data warehouse infrastructure and learn about the tools and services available from the Microsoft Azure Marketplace.
Lessons
Overview of Cloud Data Sources
SQL Server Database
The Windows Azure Marketplace
Lab : Using Cloud Data in a Data Warehouse Solution
Creating a SQL Azure Database
Extracting Data from a SQL Azure Database
Obtaining Data from the Windows Azure Marketplace
After completing this module, students will be able to:
Describe cloud data scenarios.
Describe SQL Azure.
Describe the Windows Azure Marketplace.
Module 9 : Enforcing Data Quality
Ensuring the high quality of data is essential if the results of data analysis are to be trusted. This module explains how to use the SQL Server 2012 Data Quality Services (DQS) to provide a computer assisted process for cleansing data values and identifying and removing duplicate data entities.
Lessons
Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data
Lab : Cleansing Data
Creating a DQS Knowledge Base
Using a DQS Project to Cleanse Data
Using DQS in an SSIS Package
Lab : Deduplicating Data
Creating a Matching Policy
Using a DQS Project to Match Data
After completing this module, students will be able to:
Describe how Data Quality Services can help you manage data quality.
Use Data Quality Services to cleanse your data.
Use Data Quality Services to match data.
Module 10 : Using Master Data Services
This module introduces Master Data Services and explains the benefits of using it in a data warehousing context. The module also describes the key configuration options for Master Data Services, and explains how to import and export data. Finally, the module explains how to apply rules that help to preserve data integrity, and introduces the new Master Data Services Add-in for Excel.
Lessons
Introduction to Master Data Services
Implementing a Master Data Services Model
Using the Master Data Services Add-in for Excel
Lab : Implementing Master Data Services
Creating a Basic Model
Editing a Model by Using the Master Data Services Add-in for Excel
Loading Data into a Model
Enforcing Business Rules
Consuming Master Data Services Data
After completing this module, students will be able to:
Describe key Master Data Services concepts.
Implement a Master Data Services model.
Use the Master Data Services Add-in for Excel to view and modify a model.
Module 11 : Extending SQL Server Integration Services
This module describes the techniques you can use to extend SQL Server Integration Services (SSIS). The module is not designed to be a comprehensive guide to developing custom SSIS solutions, but to provide an awareness of the fundamental steps required to use custom components and scripts in an ETL process that is based on SSIS.
Lessons
Using Custom Components in SSIS
Using Scripts in SSIS
Lab : Using Custom Components and Scripts
Using a Custom Component
Using a Script Task
After completing this module, students will be able to:
Describe how custom components can be used to extend SSIS.
Describe how you can include custom scripts in an SSIS package.
Module 12 : Deploying and Configuring SSIS Packages
SQL Server Integration Services provides tools that make it easy to deploy packages to another computer. The deployment tools also manage any dependencies, such as configurations and files that the package needs. In this module, you will learn how to use these tools to install packages and their dependencies on a target computer.
Lessons
Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution
Lab : Deploying and Configuring SSIS Packages
Create a SSIS Catalog
Deploy an SSIS Project
Create Environments for an SSIS Solution
Running an SSIS Package in SQL Server Management Studio
Scheduling SSIS Packages with SQL Server Agent
After completing this module, students will be able to:
Describe SSIS deployment.
Explain how to deploy SSIS projects using the project deployment model.
Plan SSIS package execution.
Module 13 : Consuming Data in a Data Warehouse
This module introduces Business Intelligence (BI), describes the components of SQL Server that you can use to create a BI solution, and the client tools that users can use to create reports and analyze data.
Lessons
Introduction to Business Intelligence
Introduction to Reporting
Introduction to Data Analysis
Lab : Using Business Intelligence Tools
Exploring a Reporting Services Report
Exploring a PowerPivot Workbook
Exploring a Power View Report
After completing this module, students will be able to:
Describe BI and common BI scenarios.
Explain the key features of SQL Server Reporting Services.
Explain the key features of SQL Server Analysis Services.

曙海教育实验设备
android开发板
linux_android开发板
fpga图像处理
曙海培训实验设备
fpga培训班
 
本课程部分实验室实景
曙海实验室
实验室
曙海培训优势
 
  合作伙伴与授权机构



Altera全球合作培训机构



诺基亚Symbian公司授权培训中心


Atmel公司全球战略合作伙伴


微软全球嵌入式培训合作伙伴


英国ARM公司授权培训中心


ARM工具关键合作单位
  我们培训过的企业客户评价:
    曙海的andriod 系统与应用培训完全符合了我公司的要求,达到了我公司培训的目的。 特别值得一提的是授课讲师针对我们公司的开发的项目专门提供了一些很好程序的源代码, 基本满足了我们的项目要求。
——上海贝尔,李工
    曙海培训DSP2000的老师,上课思路清晰,口齿清楚,由浅入深,重点突出,培训效果是不错的,
达到了我们想要的效果,希望继续合作下去。
——中国电子科技集团技术部主任 马工
    曙海的FPGA 培训很好地填补了高校FPGA培训空白,不错。总之,有利于学生的发展, 有利于教师的发展,有利于课程的发展,有利于社会的发展。
——上海电子,冯老师
    曙海给我们公司提供的Dsp6000培训,符合我们项目的开发要求,解决了很多困惑我 们很久的问题,与曙海的合作非常愉快。
——公安部第三研究所,项目部负责人李先生
    MTK培训-我在网上找了很久,就是找不到。在曙海居然有MTK驱动的培训,老师经验 很丰富,知识面很广。下一个还想培训IPHONE苹果手机。跟他们合作很愉快,老师很有人情味,态度很和蔼。
——台湾双扬科技,研发处经理,杨先生
    曙海对我们公司的iPhone培训,实验项目很多,确实学到了东西。受益无穷 啊!特别是对于那种正在开发项目的,确实是物超所值。
——台湾欧泽科技,张工
    通过参加Symbian培训,再做Symbian相关的项目感觉更加得心应手了,理 论加实践的授课方式,很有针对性,非常的适合我们。学完之后,很轻松的就完成了我们的项目。
——IBM公司,沈经理
    有曙海这样的DSP开发培训单位,是教育行业的财富,听了他们的课,茅塞顿开。
——上海医疗器械高等学校,罗老师
  我们新培训过的企业客户以及培训的主要内容:
 

一汽海马汽车 DSP培训
苏州金属研究院 DSP培训
南京南瑞集团技术 FPGA培训
西安爱生技术集团 FPGA培训,DSP培训
成都熊谷加世电气 DSP培训
福斯赛诺分析仪器(苏州) FPGA培训
南京国电工程 FPGA培训
北京环境特性研究所 达芬奇培训
中国科微系统与信息技术研究所 FPGA高级培训
重庆网视只能流技术开发 达芬奇培训
无锡力芯微电子股份 IC电磁兼容
河北科研究所 FPGA培训
上海微小卫星工程中心 DSP培训
广州航天航空 POWERPC培训
桂林航天工 DSP培训
江苏五维电子科技 达芬奇培训
无锡步进电机自动控制技术 DSP培训
江门市安利电源工程 DSP培训
长江力伟股份 CADENCE 培训
爱普生科技(无锡 ) 数字模拟电路
河南平高 电气 DSP培训
中国航天员科研训练中心 A/D仿真
常州易控汽车电子 WINDOWS驱动培训
南通大学 DSP培训
上海集成电路研发中心 达芬奇培训
北京瑞志合众科技 WINDOWS驱动培训
江苏金智科技股份 FPGA高级培训
中国重工第710研究所 FPGA高级培训
芜湖伯特利汽车安全系统 DSP培训
厦门中智能软件技术 Android培训
上海科慢车辆部件系统EMC培训
中国电子科技集团第五十研究所,软件无线电培训
苏州浩克系统科技 FPGA培训
上海申达自动防范系统 FPGA培训
四川长虹佳华信息 MTK培训
公安部第三研究所--FPGA初中高技术开发培训以及DSP达芬奇芯片视频、图像处理技术培训
上海电子信息职业技术--FPGA高级开发技术培训
上海点逸网络科技有限公司--3G手机ANDROID应用和系统开发技术培训
格科微电子有限公司--MTK应用(MMI)和驱动开发技术培训
南昌航空大学--fpga 高级开发技术培训
IBM 公司--3G手机ANDROID系统和应用技术开发培训
上海贝尔--3G手机ANDROID系统和应用技术开发培训
中国双飞--Vxworks 应用和BSP开发技术培训

 

上海水务建设工程有限公司--Alter/Xilinx FPGA应用开发技术培训
恩法半导体科技--Allegro Candence PCB 仿真和信号完整性技术培训
中国计量--3G手机ANDROID应用和系统开发技术培训
冠捷科技--FPGA芯片设计技术培训
芬尼克兹节能设备--FPGA高级技术开发培训
川奇光电--3G手机ANDROID系统和应用技术开发培训
东华大学--Dsp6000系统开发技术培训
上海理工大学--FPGA高级开发技术培训
同济大学--Dsp6000图像/视频处理技术培训
上海医疗器械高等专科学校--Dsp6000图像/视频处理技术培训
中航工业无线电电子研究所--Vxworks 应用和BSP开发技术培训
北京交通大学--Powerpc开发技术培训
浙江理工大学--Dsp6000图像/视频处理技术培训
台湾双阳科技股份有限公司--MTK应用(MMI)和驱动开发技术培训
滚石移动--MTK应用(MMI)和驱动开发技术培训
冠捷半导体--Linux系统开发技术培训
奥波--CortexM3+uC/OS开发技术培训
迅时通信--WinCE应用与驱动开发技术培训
海鹰医疗电子系统--DSP6000图像处理技术培训
博耀科技--Linux系统开发技术培训
华路时代信息技术--VxWorks BSP开发技术培训
台湾欧泽科技--iPhone开发技术培训
宝康电子--Allegro Candence PCB 仿真和信号完整性技术培训
上海天能电子有限公司--Allegro Candence PCB 仿真和信号完整性技术培训
上海亨通光电科技有限公司--andriod应用和系统移植技术培训
上海智搜文化传播有限公司--Symbian开发培训
先先信息科技有限公司--brew 手机开发技术培训
鼎捷集团--MTK应用(MMI)和驱动开发技术培训
傲然科技--MTK应用(MMI)和驱动开发技术培训
中软国际--Linux系统开发技术培训
龙旗控股集团--MTK应用(MMI)和驱动开发技术培训
研祥智能股份有限公司--MTK应用(MMI)和驱动开发技术培训
罗氏诊断--Linux应用开发技术培训
西东控制集团--DSP2000应用技术及DSP2000在光伏并网发电中的应用与开发
科大讯飞--MTK应用(MMI)和驱动开发技术培训
东北农业大学--IPHONE 苹果应用开发技术培训
中国电子科技集团--Dsp2000系统和应用开发技术培训
中国船舶重工集团--Dsp2000系统开发技术培训
晶方半导体--FPGA初中高技术培训
肯特智能仪器有限公司--FPGA初中高技术培训
哈尔滨大学--IPHONE 苹果应用开发技术培训
昆明电器科学研究所--Dsp2000系统开发技术
奇瑞汽车股份--单片机应用开发技术培训


 
 
  曙海企业  
  备案号:沪ICP备08026168号 .(2014年7月11)...................
友情链接:Cadence培训 ICEPAK培训 PCB设计培训 adams培训 fluent培训系列课程 培训机构课程短期培训系列课程培训机构 长期课程列表实践课程高级课程学校培训机构周末班培训 南京 NS3培训 OpenGL培训 FPGA培训 PCIE培训 MTK培训 Cortex训 Arduino培训 单片机培训 EMC培训 信号完整性培训 电源设计培训 电机控制培训 LabVIEW培训 OPENCV培训 集成电路培训 UVM验证培训 VxWorks培训 CST培训 PLC培训 Python培训 ANSYS培训 VB语言培训 HFSS培训 SAS培训 Ansys培训 短期培训系列课程培训机构 长期课程列表实践课程高级课程学校培训机构周末班 曙海 教育 企业 培训课程 系列班 长期课程列表实践课程高级课程学校培训机构周末班 短期培训系列课程培训机构 曙海教育企业培训课程 系列班 软件无线电培训 FPGA电机控制培训 Xilinx培训 Simulink培训 DSP培训班 数字信号培训 Ansys培训 LUA培训 单片机培训班 PCB设计课程 PCB培训 电源培训 电路培训 CST培训 PLC课程 变频器课程 Windows培训 R语言培训 Python培训 5G培训
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