MOC20463 - Implementing a Data Warehouse with Microsoft SQL Server 2014

Linea corsi: SQL Server, Associate level: MCSA SQL Server 2012/2014

About this course

Thiscourse describes how to implement a data warehouse platform to support a BIsolution. Students will learn how to create a data warehouse with Microsoft®SQL Server® 2014, implement ETL with SQL Server Integration Services, andvalidate and cleanse data with SQL Server Data Quality Services and SQL ServerMaster Data Services.
Note
:This course is designed for customers who are interested in learning SQL Server2012 or SQL Server 2014. It covers the new features in SQL Server 2014, butalso the important capabilities across the SQL Server data platform.

Audience profile
This course is intended for databaseprofessionals who need to fulfil a Business Intelligence Developer role.
They will need to focus on hands-on workcreating BI solutions including Data Warehouse implementation, ETL, and datacleansing. Primary responsibilities include:
  • Implementing a data warehouse.
  • Developing SSIS packages for data extraction, transformation, and loading.
  • Enforcing data integrity by using Master Data Services.
  • Cleansing data by using Data Quality Services.

At course completion

After completing this course, students will beable to:
  • Describedata warehouse concepts and architecture considerations.
  • Selectan appropriate hardware platform for a data warehouse.
  • Designand implement a data warehouse.
  • ImplementData Flow in an SSIS Package.
  • ImplementControl Flow in an SSIS Package.
  • Debugand Troubleshoot SSIS packages.
  • Implementan ETL solution that supports incremental data extraction.
  • Implementan ETL solution that supports incremental data loading.
  • Implementdata cleansing by using Microsoft Data Quality Services.
  • ImplementMaster Data Services to enforce data integrity.
  • ExtendSSIS with custom scripts and components.
  • Deployand Configure SSIS packages.
  • Describehow BI solutions 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 you embark on a data warehousing project.
Lessons
  • Overview of Data Warehousing
  • Considerations for a Data Warehouse SolutionLab : Exploring a Data Warehousing Solution
Aftercompleting this module, you 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 Considerations
This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.
Lessons
  • Considerations for building a Data Warehouse
  • Data Warehouse Reference Architectures and AppliancesLab : Planning Data Warehouse Infrastructure
After completing this module, you will be able to:
  • Describe key considerations for BIinfrastructure.
  • Plan data warehouse infrastructure.
Module 3: Designing and Implementing a Data Warehouse
This module describes the key considerations for the logical design of a data warehouse, and then discusses best practices for its physical implementation.
Lessons
  • Logical Design for a Data Warehouse
  • Physical design for a data warehouseLab : Implementing a Data Warehouse Schema
Aftercompleting this module, you will be able to:
  • Describe a processfor designing a dimensional model for a data warehouse
  • Design dimensiontables for a data warehouse
  • Design fact tablesfor a data warehouse
  • Design and implement effective physical datastructures 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 Microsoft SQL Server Integration Services (SSIS) as a platform for building ETL solutions.
Lessons
  • Introduction to ETL with SSIS
  • Exploring Data Sources
  • Implementing Data FlowLab : Implementing Data Flow in an SSIS Package
After completing thismodule, you will be able to:
  • Describe the keyfeatures of SSIS.
  • Explore sourcedata for an ETL solution.
  • Implement a data flow by using SSIS
Module 5: Implementing Control Flow in an SSIS Package
This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.
Lessons
  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing ConsistencyLab : Implementing Control Flow in an SSIS Package
Lab : Using Transactions and Checkpoints
Aftercompleting this module, you will be able to:
  • Implement controlflow with tasks and precedence constraints
  • Create dynamicpackages that include variables and parameters
  • Use containers ina package control flow
  • Enforce consistency with transactions andcheckpoints
Module 6: Debugging and Troubleshooting SSIS Packages
This module describes how you can debug packages to find the cause of errors that occur during execution. It then discusses the logging functionality built into SSIS that 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 PackageLab : Debugging and Troubleshooting an SSIS Package
After completing this module, you will beable to:
  • Debug an SSISpackage
  • Implement loggingfor 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 dataLab : Extracting Modified Data
Lab : Loading Incremental Changes
After completing this module, you will beable to:
  • Plan dataextraction
  • Extract modified data
Module 8: Enforcing Data Quality
This module introduces Microsoft SQL Server Data Quality Services (DQS), and describes how you can use it to cleanse and deduplicate data.
Lessons
  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match dataLab : Cleansing Data
Lab : De-duplicating data
After completing thismodule, you will be able to:
  • Describe how DataQuality Services can help you manage data quality
  • Use Data QualityServices to cleanse your data
  • Use Data Quality Services to match data
Module 9: Using Master Data Services
Master Data Services provides a way for organizations to standardize data and improve the quality, consistency, and reliability of the data that guides key business decisions. This module introduces Master Data Services and explains the benefits of using it.
Lessons
  • Master Data Services Concepts
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data HubLab : Implementing Master Data Services
After completing thismodule, you will be able to:
  • Describe keyMaster Data Services concepts
  • Implement a MasterData Services model
  • Use Master DataServices tools to manage master data
  • Use Master Data Services tools to create amaster data hub
Module 10: Extending SQL Server Integration Services
This module describes the techniques you can use to extend 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 Scripts in SSIS
  • Using Custom Components in SSISLab : Using Custom Components and Scripts
After completing this module, you will beable to:
  • Include customscripts in an SSIS package
  • Describe how custom components can be used toextend SSIS
Module 11: Deploying and Configuring SSIS Packages
In this module, students will learn how to deploy packages and their dependencies to a server, and how to manage and monitor the execution of deployed packages.
Lessons
  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package ExecutionLab : Deploying and Configuring SSIS Packages
After completing this module, you will beable to:
  • Describeconsiderations for SSIS deployment.
  • Deploy SSISprojects.
  • Plan SSIS package execution.
Module 12: Consuming Data in a Data Warehouse
This module introduces business intelligence (BI) solutions and describes how you can use a data warehouse as the basis for enterprise and self-service BI.
Lessons
  • Introduction to Business Intelligence
  • Introduction to Reporting
  • An Introduction to Data AnalysisLab : Using Business Intelligence Tools
After completing thismodule, you will be able to:
  • Describe BI andcommon BI scenarios
  • Describe how adata warehouse can be used in enterprise BI scenarios
  • Describe how a data warehouse can be used inself-service BI scenarios

Prezzo di listino

1.600,00 EUR + IVA

Esame di certificazione

Exam 463

Durata

  • 35 ore
  • 5 giorni

Prerequisiti

Thiscourse requires that you meet the following prerequisites:
  • At least 2 years’experience of working with relational databases, including:
  • Designing anormalized database.
  • Creating tablesand relationships.
  • Querying withTransact-SQL.
  • Some exposure tobasic programming constructs (such as looping and branching).
An awareness of key business priorities such as revenue,profitability, and financial accounting is desirable.

MOC20463 - Implementing a Data Warehouse with Microsoft SQL Server 2014

Milano

Dal 16 al 20 luglio 2018
Prezzo: 1.600,00 EUR + IVA

Acquisto

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MOC20463 - Implementing a Data Warehouse with Microsoft SQL Server 2014

Bologna

Dal 16 al 20 luglio 2018
Prezzo: 1.600,00 EUR + IVA

Acquisto

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MOC20463 - Implementing a Data Warehouse with Microsoft SQL Server 2014

Roma

Dal 16 al 20 luglio 2018
Prezzo: 1.600,00 EUR + IVA

Acquisto

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MOC20463 - Implementing a Data Warehouse with Microsoft SQL Server 2014

Milano

Dal 08 al 12 ottobre 2018
Prezzo: 1.600,00 EUR + IVA

Acquisto

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MOC20463 - Implementing a Data Warehouse with Microsoft SQL Server 2014

Bologna

Dal 08 al 12 ottobre 2018
Prezzo: 1.600,00 EUR + IVA

Acquisto

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MOC20463 - Implementing a Data Warehouse with Microsoft SQL Server 2014

Roma

Dal 08 al 12 ottobre 2018
Prezzo: 1.600,00 EUR + IVA

Acquisto

Richiesta informazioni

Prezzo di listino

1.600,00 EUR + IVA per partecipante

Anche on-site

Tutti i nostri corsi sono erogabili anche in modalità on-site, presso la vostra sede, e possono essere personalizzati secondo le esigenze.

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