Implementing a SQL Data Warehouse, On Demand 20767

Seminar
E-Learning
Zurzeit keine Termine
40 Unterrichtseinheiten
Teilnahmebescheinigung

Seminarnummer: 29486

This on demand online training provides students with the knowledge and skills to provision a Microsoft SQL Server database. The training covers SQL Server provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.

Nutzen

After completing this course, students will be able to:

Describe the key elements of a data warehousing solution
Describe the main hardware considerations for building a data warehouse
Implement a logical design for a data warehouse
Implement a physical design for a data warehouse
Create columnstore indexes
Implementing an Azure SQL Data Warehouse
Describe the key features of SSIS
Implement a data flow by using SSIS
Implement control flow by using tasks and precedence constraints
Create dynamic packages that include variables and parameters
Debug SSIS packages
Describe the considerations for implement an ETL solution
Implement Data Quality Services
Implement a Master Data Services model
Describe how you can use custom components to extend SSIS
Deploy SSIS projects
Describe BI and common BI scenarios

This course helps you prepare for the Exam 70-767.

Zielgruppe

The primary audience for this online training are database professionals who need to fulfil 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.

Anforderungen

In addition to their professional experience, students who attend this training should already have the following technical knowledge:

Basic knowledge of the Microsoft Windows operating system and its core functionality.
Working knowledge of relational databases.
Some experience with database design.

Inhalte

Module 1: Introduction to Data Warehousing This module describes data warehouse concepts and architecture consideration. Lessons

Overview of Data Warehousing
Considerations for a Data Warehouse Solution

Module 2: Planning Data Warehouse Infrastructure This module describes the main hardware considerations for building a data warehouse. Lessons

Considerations for data warehouse infrastructure.
Planning data warehouse hardware.

Module 3: Designing and Implementing a Data Warehouse This module describes how you go about designing and implementing a schema for a data warehouse. Lessons

Data warehouse design overview
Designing dimension tables
Designing fact tables
Physical Design for a Data Warehouse

Module 4: Columnstore Indexes This module introduces Columnstore Indexes. Lessons

Introduction to Columnstore Indexes
Creating Columnstore Indexes
Working with Columnstore Indexes

Module 5: Implementing an Azure SQL Data Warehouse This module describes Azure SQL Data Warehouses and how to implement them. Lessons

Advantages of Azure SQL Data Warehouse
Implementing an Azure SQL Data Warehouse
Developing an Azure SQL Data Warehouse
Migrating to an Azure SQ Data Warehouse
Copying data with the Azure data factory

Module 6: Creating an ETL Solution At the end of this module you will be able to implement data flow in a SSIS package. Lessons

Introduction to ETL with SSIS
Exploring Source Data
Implementing Data Flow

Module 7: Implementing Control Flow in an SSIS Package This module describes implementing control flow in an SSIS package. Lessons

Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Managing consistency.

Module 8: Debugging and Troubleshooting SSIS Packages This module describes how to debug and troubleshoot SSIS packages. Lessons

Debugging an SSIS Package
Logging SSIS Package Events
Handling Errors in an SSIS Package

Module 9: Implementing a Data Extraction Solution This module describes how to implement an SSIS solution that supports incremental DW loads and changing data. Lessons

Introduction to Incremental ETL
Extracting Modified Data
Loading modified data
Temporal Tables

Module 10: Enforcing Data Quality This module describes how to implement data cleansing by using Microsoft Data Quality services. Lessons

Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data

Module 11: Using Master Data Services This module describes how to implement master data services to enforce data integrity at source. Lessons

Introduction to Master Data Services
Implementing a Master Data Services Model
Hierarchies and collections
Creating a Master Data Hub

Module 12: Extending SQL Server Integration Services (SSIS) This module describes how to extend SSIS with custom scripts and components. Lessons

Using scripting in SSIS
Using custom components in SSIS

Module 13: Deploying and Configuring SSIS Packages This module describes how to deploy and configure SSIS packages. Lessons

Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution

Module 14: Consuming Data in a Data Warehouse This module describes how to debug and troubleshoot SSIS packages. Lessons

Introduction to Business Intelligence
An Introduction to Data Analysis
Introduction to reporting
Analyzing Data with Azure SQL Data Warehouse

Hinweise

MOC On Demand Trainings sind original Microsoft Trainings, in denen Sie zeit- und ortsungebunden lernen können. Diese Trainings enthalten:

Zugang zum offiziellen Microsoft Video on Demand Kurs für 90 Tage ab dem ersten Zugriff.
Einen Lab-Online-Zugang für praktische Übungen, der ab Kauf 6 Monate gültig ist.
Eine originale MOC Schulungsunterlage in digitaler Form, wie sie auch in den Live-Trainings eingesetzt wird.

Weitere Details entnehmen Sie unserer MOC On Demand Landingpage unter www.tuv.com/Microsoft