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Курс M20767: Реализация хранилищ данных SQL

Цена для физических лиц, р.: 29900
Цена для юридических лиц, р.: 30900
Цена вебинара для физических лиц, р.: 28900
Цена вебинара для юридических лиц, р.: 28900

Продолжительность курса (дней): 5

Даты (день): 21.08.2017, 25.09.2017, 30.10.2017, 04.12.2017

Даты (вечер): 21.08.2017, 25.09.2017, 30.10.2017, 04.12.2017

Курс готовит к тестам:

Цель:

Необходимая подготовка:

Предварительный тест:

Результат:

План курса:

Module 1: Introduction to Data Warehousing

Describe data warehouse concepts and architecture considerations.
  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution
  • Lab : Exploring a Data Warehouse Solution

Module 2: Planning Data Warehouse Infrastructure

This module describes the main hardware considerations for building a data warehouse.
  • Considerations for Building a Data Warehouse
  • Data Warehouse Reference Architectures and Appliances
  • Lab : Planning Data Warehouse Infrastructure

Module 3: Designing and Implementing a Data Warehouse

This module describes how you go about designing and implementing a schema for a data warehouse.
  • Logical Design for a Data Warehouse
  • Physical Design for a Data Warehouse
  • Lab : Implementing a Data Warehouse Schema

Module 4: Columnstore Indexes

This module introduces Columnstore Indexes.
  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes
  • Lab : Using Columnstore Indexes

Module 5: Implementing an Azure SQL Data Warehouse

This module describes Azure SQL Data Warehouses and how to implement them.
  • 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
  • Lab : Implementing an Azure SQL Data Warehouse

Module 6: Creating an ETL Solution

At the end of this module you will be able to implement data flow in a SSIS package.
  • Introduction to ETL with SSIS
  • Exploring Source Data
  • Implementing Data Flow
  • Lab : Implementing Data Flow in an SSIS Package

Module 7: Implementing Control Flow in an SSIS Package

This module describes implementing control flow in an SSIS package.
  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Lab : Implementing Control Flow in an SSIS Package
  • Lab : Using Transactions and Checkpoints

Module 8: Debugging and Troubleshooting SSIS Packages

This module describes how to debug and troubleshoot SSIS packages.
  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in an SSIS Package
  • Lab : Debugging and Troubleshooting an SSIS Package

Module 9: Implementing an Incremental ETL Process

This module describes how to implement an SSIS solution that supports incremental DW loads and changing data.
  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Temporal Tables
  • Lab : Extracting Modified Data
  • Lab : Loading Incremental Changes

Module 10: Enforcing Data Quality

This module describes how to implement data cleansing by using Microsoft Data Quality services.
  • 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

Module 11: Using Master Data Services

This module describes how to implement master data services to enforce data integrity at source.
  • Master Data Services Concepts
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub
  • Lab : Implementing Master Data Services

Module 12: Extending SQL Server Integration Services (SSIS)

This module describes how to extend SSIS with custom scripts and components.
  • Using Custom Components in SSIS
  • Using Scripting in SSIS
  • Lab : Using Scripts and Custom Components

Module 13: Deploying and Configuring SSIS Packages

This module describes how to deploy and configure SSIS packages.
  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution
  • Lab : Deploying and Configuring SSIS Packages

Module 14: Consuming Data in a Data Warehouse

This module describes how to debug and troubleshoot SSIS packages.
  • Introduction to Business Intelligence
  • Introduction to Reporting
  • An Introduction to Data Analysis
  • Analyzing Data with Azure SQL Data Warehouse
  • Lab : Using Business Intelligence Tools


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