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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 del corso

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

Discrete competenze di base di informatica, sia Hardware che software (soprattutto Sistemi operativi)

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

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