Implementing a Data Warehouse with Microsoft SQL Server 2014 (20463D) corso di formazione

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Implementing a Data Warehouse with Microsoft SQL Server 2014 (20463D)

5 Giorni (Online e in loco)

SQL Server

Prezzo su richiesta

With the Implementing a Data Warehouse with Microsoft SQL Server 2014 course, 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. Microsoft SQL Server 2014 Express is a powerful and reliable free data management system that delivers a rich and reliable data store for lightweight Web Sites and desktop applications. Download here   The correspondent exam has been retired.  
 

After completing this course, students will be able to:

  • Describe data warehouse concepts and architecture considerations
  • Select an appropriate hardware platform for a data warehouse
  • Design and implement a data warehouse
  • Implement Data Flow in an SSIS Package
  • Implement Control Flow in an SSIS Package
  • Debug and Troubleshoot SSIS packages
  • Implement an ETL solution that supports incremental data extraction
  • Implement an ETL solution that supports incremental data loading
  • Implement data cleansing by using Microsoft Data Quality Services
  • Implement Master Data Services to enforce data integrity
  • Extend SSIS with custom scripts and components
  • Deploy and Configure SSIS packages
  • Describe how BI solutions can consume data from the data warehouse

LESSON 1 - INTRODUCTION TO DATA WAREHOUSING

  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution

LESSON 2 - PLANNING DATA WAREHOUSE INFRASTRUCTURE

  • Considerations for Data Warehouse Infrastructure
  • Planning Data Warehouse Hardware

LESSON 3 - DESIGNING AND IMPLEMENTING A DATA WAREHOUSE

  • Data Warehouse Design Overview
  • Designing Dimension Tables
  • Designing Fact Tables
  • Physical Design for a Data Warehouse

LESSON 4 - CREATING AN ETL SOLUTION WITH SSIS

  • Introduction to ETL with SSIS
  • Exploring Data Sources
  • Implementing Data Flow

LESSON 5 - IMPLEMENTING CONTROL FLOW IN AN SSIS PACKAGE

  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing Consistency

LESSON 6 - DEBUGGING AND TROUBLESHOOTING SSIS PACKAGES

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

LESSON 7 - IMPLEMENTING A DATA EXTRACTION SOLUTION

  • Planning Data Extraction
  • Extracting Modified Data

LESSON 8 - LOADING DATA INTO A DATA WAREHOUSE

  • Planning Data Loads
  • Using SSIS for Incremental Loads
  • Using Transact-SQL Loading Techniques

LESSON 9 - ENFORCING DATA QUALITY

  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Cleanse Data

LESSON 10 - MASTER DATA SERVICES

  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub

LESSON 11 - EXTENDING SQL SERVER INTEGRATION SERVICES

  • Using Scripts in SSIS
  • Using Custom Components in SSIS

LESSON 12 - DEPLOYING AND CONFIGURING SSIS PACKAGES

  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution

LESSON 13 - CONSUMING DATA IN A DATA WAREHOUSE

  • Introduction to Business Intelligence
  • Enterprise Business Intelligence
  • Self-Service BI and Big Data

This course is intended for database professionals who need to create and support a data warehousing solution. 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

Programma

  • Da: 25 July, 2022

    A: 29 July, 2022

    Ubicazione: Online


  • Da: 22 August, 2022

    A: 26 August, 2022

    Ubicazione: Online


  • Da: 26 September, 2022

    A: 30 September, 2022

    Ubicazione: Online


  • Da: 24 October, 2022

    A: 28 October, 2022

    Ubicazione: Online


  • Da: 21 November, 2022

    A: 25 November, 2022

    Ubicazione: Online


  • Da: 19 December, 2022

    A: 23 December, 2022

    Ubicazione: Online


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