MOC On-Demand: 20463DC Implementing a Data Warehouse with Microsoft® SQL Server® 2014

Kirjastaja: Wistec Training Oy
Tüüp: E-learning
MOC On-Demand: 20463DC Implementing a Data Warehouse with Microsoft® SQL Server® 2014
1 TK
MOC On-Demand: 20463DC Implementing a Data Warehouse with Microsoft® SQL Server® 2014 E-learning
690,00 €
+ KM 20%.

Kirjeldus

MOC On-Demand 20463DC: Implementing a Data Warehouse with Microsoft® SQL Server® 2014 This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft® SQL Server® 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services. 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 Solution Lab : Exploring a Data Warehousing Solution After completing 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 Appliances Lab : Planning Data Warehouse Infrastructure After completing this module, you will be able to: Describe key considerations for BI infrastructure. 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 warehouse Lab : Implementing a Data Warehouse Schema After completing this module, you will be able to: Describe a process for designing a dimensional model for a data warehouse Design dimension tables for a data warehouse Design fact tables for a data warehouse Design and implement effective physical data structures 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 Flow Lab : Implementing Data Flow in an SSIS Package After completing this module, you will be able to: Describe the key features of SSIS. Explore source data 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 Consistency Lab : Implementing Control Flow in an SSIS Package Lab : Using Transactions and Checkpoints After completing this module, you 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 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 Package Lab : Debugging and Troubleshooting an SSIS Package After completing this module, you 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 Lab : Loading Incremental Changes After completing this module, you will be able to: Plan data extraction 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 data Lab : Cleansing Data Lab : De-duplicating data After completing this module, you 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 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 Hub Lab : Implementing Master Data Services After completing this module, you will be able to: Describe key Master Data Services concepts Implement a Master Data Services model Use Master Data Services tools to manage master data Use Master Data Services tools to create a master 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 SSIS Lab : Using Custom Components and Scripts After completing this module, you will be able to: Include custom scripts in an SSIS package Describe how custom components can be used to extend 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 Execution Lab : Deploying and Configuring SSIS Packages After completing this module, you will be able to: Describe considerations for SSIS deployment. Deploy SSIS projects. 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 Analysis Lab : Using Business Intelligence Tools After completing this module, you will be able to: Describe BI and common BI scenarios Describe how a data warehouse can be used in enterprise BI scenarios Describe how a data warehouse can be used in self-service BI scenarios  

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