Implementing a Data Warehouse with Microsoft SQL Server

Transcription

1 Implementing a Data Warehuse with Micrsft SQL Server Implementing a Data Warehuse with Micrsft SQL Server Curse Cde: Certificatin Exam: Duratin: 5 Days Certificatin Track: MCSA: SQL Server 2014 Frmat: Classrm Level: 300 Abut this curse: This curse describes hw t implement a data warehuse platfrm t supprt a BI slutin. Students will learn hw t create a data warehuse with Micrsft SQL Server 2014, implement ETL with SQL Server Integratin Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services. Nte: This curse is designed fr custmers wh are interested in learning SQL Server 2012 r SQL Server It cvers the new features in SQL Server 2014, but als the imprtant capabilities acrss the SQL Server data platfrm. Audience prfile This curse is intended fr database prfessinals wh need t fulfil a Business Intelligence Develper rle. They will need t fcus n hands-n wrk creating BI slutins including Data Warehuse implementatin, ETL, and data cleansing. Primary respnsibilities include: Implementing a data warehuse. Develping SSIS packages fr data extractin, transfrmatin, and lading. Enfrcing data integrity by using Master Data Services. Cleansing data by using Data Quality Services. At Curse Cmpletin After cmpleting this curse, students will be able t: Describe data warehuse cncepts and architecture cnsideratins. Select an apprpriate hardware platfrm fr a data warehuse. Design and implement a data warehuse. Implement Data Flw in an SSIS Package. Implement Cntrl Flw in an SSIS Package. Debug and Trublesht SSIS packages. Implement an ETL slutin that supprts incremental data extractin. Implement an ETL slutin that supprts incremental data lading. Implement data cleansing by using Micrsft Data Quality Services. Implement Master Data Services t enfrce data integrity. Extend SSIS with custm scripts and cmpnents. Deply and Cnfigure SSIS packages. Describe hw BI slutins can cnsume data frm the data warehuse.

2 Implementing a Data Warehuse with Micrsft SQL Server Prerequisites This curse requires that yu meet the fllwing prerequisites: At least 2 years experience f wrking with relatinal databases, including: Designing a nrmalized database. Creating tables and relatinships. Querying with Transact-SQL. Sme expsure t basic prgramming cnstructs (such as lping and branching). An awareness f key business pririties such as revenue, prfitability, and financial accunting is desirable. Student Materials The student kit includes a cmprehensive wrkbk and ther necessary materials fr this class. Curse Outline: Mdule 1: Intrductin t Data Warehusing This mdule intrduces the key cmpnents f a data warehusing slutin and the high-level cnsideratins yu must cnsider when yu embark n a data warehusing prject. Overview f Data Warehusing Cnsideratins fr a Data Warehuse Slutin Lab 1: Explring a Data Warehusing Slutin Describe the key elements f a data warehusing slutin Describe the key cnsideratins fr a data warehusing prject Mdule 2: Data Warehuse Hardware Cnsideratins This mdule discusses cnsideratins fr selecting hardware and distributing SQL Server facilities acrss servers. Cnsideratins fr building a Data Warehuse Data Warehuse Reference Architectures and Appliances Lab 2: Planning Data Warehuse Infrastructure Describe key cnsideratins fr BI infrastructure. Plan data warehuse infrastructure.

3 Implementing a Data Warehuse with Micrsft SQL Server Mdule 3: Designing and Implementing a Data Warehuse This mdule describes the key cnsideratins fr the lgical design f a data warehuse, and then discusses best practices fr its physical implementatin. Lgical Design fr a Data Warehuse Physical design fr a data warehuse Lab 3: Implementing a Data Warehuse Schema Describe a prcess fr designing a dimensinal mdel fr a data warehuse Design dimensin tables fr a data warehuse Design fact tables fr a data warehuse Design and implement effective physical data structures fr a data warehuse Mdule 4: Creating an ETL Slutin with SSIS This mdule discusses cnsideratins fr implementing an ETL prcess, and then fcuses n Micrsft SQL Server Integratin Services (SSIS) as a platfrm fr building ETL slutins. Intrductin t ETL with SSIS Explring Data Surces Implementing Data Flw Lab 4: Implementing Data Flw in an SSIS Package Describe the key features f SSIS. Explre surce data fr an ETL slutin. Implement a data flw by using SSIS Mdule 5: Implementing Cntrl Flw in an SSIS Package This mdule describes hw t implement ETL slutins that cmbine multiple tasks and wrkflw lgic. Intrductin t Cntrl Flw Creating Dynamic Packages Using Cntainers Managing Cnsistency Lab 5: Implementing Cntrl Flw in an SSIS Package

4 Implementing a Data Warehuse with Micrsft SQL Server Lab 5: Using Transactins and Checkpints Implement cntrl flw with tasks and precedence cnstraints Create dynamic packages that include variables and parameters Use cntainers in a package cntrl flw Enfrce cnsistency with transactins and checkpints Mdule 6: Debugging and Trubleshting SSIS Packages This mdule describes hw yu can debug packages t find the cause f errrs that ccur during executin. It then discusses the lgging functinality built int SSIS that yu can use t lg events fr trubleshting purpses. Finally, the mdule describes cmmn appraches fr handling errrs in cntrl flw and data flw. Debugging an SSIS Package Lgging SSIS Package Events Handling Errrs in an SSIS Package Lab 6: Debugging and Trubleshting an SSIS Package Debug an SSIS package Implement lgging fr an SSIS package Handle errrs in an SSIS package Mdule 7: Implementing an Incremental ETL Prcess This mdule describes the techniques yu can use t implement an incremental data warehuse refresh prcess. Intrductin t Incremental ETL Extracting Mdified Data Lading Mdified data Lab 7: Extracting Mdified Data Lab 7: Lading Incremental Changes Plan data extractin Extract mdified data

5 Implementing a Data Warehuse with Micrsft SQL Server Mdule 8: Enfrcing Data Quality This mdule intrduces Micrsft SQL Server Data Quality Services (DQS), and describes hw yu can use it t cleanse and de-duplicate data. Intrductin t Data Quality Using Data Quality Services t Cleanse Data Using Data Quality Services t Match data Lab 8: Cleansing Data Lab 8: De-duplicating data Describe hw Data Quality Services can help yu manage data quality Use Data Quality Services t cleanse yur data Use Data Quality Services t match data Mdule 9: Using Master Data Services Master Data Services prvides a way fr rganizatins t standardize data and imprve the quality, cnsistency, and reliability f the data that guides key business decisins. This mdule intrduces Master Data Services and explains the benefits f using it. Master Data Services Cncepts Implementing a Master Data Services Mdel Managing Master Data Creating a Master Data Hub Lab 9: Implementing Master Data Services Describe key Master Data Services cncepts Implement a Master Data Services mdel Use Master Data Services tls t manage master data Use Master Data Services tls t create a master data hub Mdule 10: Extending SQL Server Integratin Services This mdule describes the techniques yu can use t extend SSIS. The mdule is nt designed t be a cmprehensive guide t develping custm SSIS slutins, but t prvide an awareness f the fundamental steps required t use custm cmpnents and scripts in an ETL prcess that is based n SSIS.

6 Implementing a Data Warehuse with Micrsft SQL Server Using Scripts in SSIS Using Custm Cmpnents in SSIS Lab 10: Using Custm Cmpnents and Scripts Include custm scripts in an SSIS package Describe hw custm cmpnents can be used t extend SSIS Mdule 11: Deplying and Cnfiguring SSIS Packages In this mdule, students will learn hw t deply packages and their dependencies t a server, and hw t manage and mnitr the executin f deplyed packages. Overview f SSIS Deplyment Deplying SSIS Prjects Planning SSIS Package Executin Lab 11: Deplying and Cnfiguring SSIS Packages Describe cnsideratins fr SSIS deplyment. Deply SSIS prjects. Plan SSIS package executin. Mdule 12: Cnsuming Data in a Data Warehuse This mdule intrduces business intelligence (BI) slutins and describes hw yu can use a data warehuse as the basis fr enterprise and self-service BI. Intrductin t Business Intelligence Intrductin t Reprting An Intrductin t Data Analysis Lab 12: Using Business Intelligence Tls Describe BI and cmmn BI scenaris Describe hw a data warehuse can be used in enterprise BI scenaris Describe hw a data warehuse can be used in self-service BI scenaris