Viale Premuda 14, 20129 Milano - academy@digiacademy.it - 0250030724

Corsi Microsoft

Implementing a Data Warehouse with Microsoft SQL Server 2014

Codice corso: 20463D
Durata corso: 5gg

INTRODUZIONE

Questo corso fornisce ai programmatori la preparazione necessaria per creare semplici strutture di disegno tecnico utilizzando AutoCAD

OBIETTIVI

L’obiettivo da raggiungere con il presente modulo è quello di definire un disegno nelle sue parti essenziali, compresa la stampa finale. L’utente sarà in grado, quindi, di realizzare le proprie tavole grafiche utilizzando delle procedure di base.

PREREQUISITI

Per partecipare a questo corso devono soddisfare i seguenti prerequisiti:

  • Esperienza di almeno 2 anni di lavoro con database relazionali, tra cui:
  • Progettare un database normalizzato.
  • Creare tabelle e relazioni. Esecuzione di query con Transact SQL.
  • Qualche esperienza di costrutti di programmazione di base (come loop e branching).

È auspicabile conoscere le priorità aziendali principali come entrate, redditività e contabilità finanziaria.

STRUTTURA DEL CORSO

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

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

 Lab : Exploring a Data Warehousing Solution

MODULE 2: Data Warehouse Hardware Considerations

This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.

Lessons

After completing this module, you will be able to:

  •  Describe Key Considerations for BI Infrastructure
  • Plan Data Warehouse Infrastructure

 Lab : Planning 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

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

 Lab : Implementing a Data Warehouse Schema

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

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

 Lab : Implementing Data Flow in an SSIS Package

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

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

Lab : Implementing Control Flow in an SSIS Package
Lab : Using 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

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

 Lab : Debugging and Troubleshooting an SSIS Package

MODULE 7: Implementing a Data Extraction Solution

This module describes the techniques you can use to implement an incremental data warehouse refresh process.

Lessons

After completing this module, you will be able to:

  •  Plan Data Extraction
  • Extract Modified Data

 Lab : Extracting Modified Data

MODULE 8: Loading Data into a Data Warehouse

This module describes the techniques you can use to implement a data warehouse load process.

Lessons

After completing this module, you will be able to:

  •  Describe the considerations for Planning Data Loads
  • Use SQL Server Integration Services (SSIS) to load new and modified data into a Data Warehouse
  • Use Transact-SQL Techniques to load data into a Data Warehouse

 Lab : Loading a Data Warehouse

MODULE 9: Enforcing Data Quality

Ensuring the high quality of data is essential if the results of data analysis are to be trusted. SQL Server 2014 includes Data Quality Services (DQS) to provide a computer-assisted process for cleansing data values, as well as identifying and removing duplicate data entities. This process reduces the workload of the data steward to a minimum while maintaining human interaction to ensure accurate results.

Lessons

After completing this module, you will be able to:

  • Describe how Data Quality Services (DQS) can help you manage data quality
  • Use Data Quality Services (DQS) to Cleanse your Data
  • Use Data Quality Services (DQS) to Match Data

Lab : Cleansing Data
Lab : Deduplicating Data

MODULE 10: Master Data Services

Master Data Services provides a way for organizations to standardize 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

After completing this module, you will be able to:

  • Describe the key concepts of Master Data Services
  • 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

 Lab : Implementing Master Data Services

MODULE 11: 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, based on SSIS.

Lessons

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

 Lab : Using Custom Scripts

MODULE 12: Deploying and Configuring SSIS Packages

Microsoft SQL Server Integration Services (SSIS) provides tools that make it easy to deploy packages to another computer. The deployment tools also manage any dependencies, such as configurations and files that the package needs. In this module, you will learn how to use these tools to install packages and their dependencies on a target computer.

Lessons

After completing this module, you will be able to:

  •  Describe considerations for SSIS Deployment
  • Deploy SSIS Projects
  • Plan SSIS Package Execution

 Lab : Deploying and Configuring SSIS Packages

MODULE 13: Consuming Data in a Data Warehouse

This module introduces BI, describing the components of Microsoft SQL Server that you can use to create a BI solution, and the client tools with which users can create reports and analyze data.

Lessons

After completing this module, you will be able to:

  • Describe Business Intelligence (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

 Lab : Using a Data Warehouse

P.IVA 06249920965
C.C.I.A.A. REA: MI - 1880014
Cap. Soc. € 12.000,00

Contatti

Viale Premuda n. 14 ,20129 Milano
Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
Tel.: +39 02 50030 724
Fax.: +39 02 50030 725

© Copyright DI.GI. Academy
Privacy Policy | Cookie Policy