Descrivere le caratteristiche e le funzionalità chiave di SQL Server 2014.
Sfruttare le funzionalità nuove e migliorate per lo sviluppo di database in SQL Server 2014.
Utilizzare funzionalità di database in memoria in SQL Server 2014.
Gestire SQL Server 2014 utilizzando viste a gestione dinamica e PowerShell.
Implementare la sicurezza in SQL Server 2014.
Implementare l'alta disponibilità e le tecniche di recupero dati in SQL Server 2014.
Utilizzare SQL Server 2014 Integration Services.
Utilizzare SQL Server 2014 Servizi di qualità dei dati.
Utilizzare SQL Server 2014 Master Data Services.
Gestire SQL Server 2012 Agent e l'occupazione.
Implementare un modello di dati tabulari in SQL Server 2014 Analysis Services.
Implementare una soluzione di BI self-service con Microsoft Excel 2013.
Descrivere gli elementi chiave di soluzioni cloud per i dati.
Implementare un database in Microsoft SQL Azure database.
Implementare un database di SQL Server in una macchina virtuale di Microsoft Azure.
Implementare una soluzione Big Data con Microsoft Azure HDInsight e la Azure Marketplace di Microsoft.
Questo corso richiede che siano soddisfatti i seguenti prerequisiti:
Esperienza di soluzioni di business intelligence (BI), costruzione e gestione di database, data warehouse, e con SQL Server 2008.Familiarità con il sistema operativo Windows Server 2012 e in rete.Familiarità con Microsoft Excel e Microsoft SharePoint Server 2013.
Module 1: Introduction to SQL Server 2014
Overview of SQL Server 2014
SQL Server 2014 Editions and Components
Installing SQL Server 2014
Enhancements to SQL Server Management Studio
Lab : Exploring SQL Server 2014
Reviewing Installed Components
Using SQL Server Management Studio
Module 2: What’s New in SQL Server Database Development
Transact-SQL Enhancements
New and Enhanced Transact-SQL Functions
Enhancements to Spatial Data Support
Storing and Querying Documents with SQL Server 2014
Lab : Developing SQL Server 2014 Databases
Using Sequence Objects
Using the THROW statement
Implementing Paging
Querying Documents
Module 3: In-Memory Database Capabilities
The Buffer pool Extension
Columnstore Indexes
Memory-Optimized Tables
Lab : Using In-Memory Database Capabilities
Enabling the Buffer Pool Extension
Creating Columnstore Indexes
Working with Memory-Optimized Tables
Module 4: Scripting SQL Server 2014
New and Enhanced Dynamic Management Views
Using PowerShell to Manage SQL Server
Lab : Managing SQL Server with Scripts
Using Dynamic Management Views
Using PowerShell
Module 5: Implementing Security in Microsoft SQL Server 2014
Security Management Enhancements
Contained Databases
Lab : Implementing Security
Implementing User-Defines Server Roles
Implementing Contained Databases
Module 6: High Availability and Data Recovery Enhancements
AlwaysOn High Availability
Enhancements to Data Recovery
Lab : Using AlwaysOn Availability Groups
Creating an AlwaysOn Availability Group
Using an AlwaysOn Availability Group
Observing Availability Group Failover Behavior
Module 7: New and Enhanced Features in SQL Server Integration Services
Using the CDC Control Task for Incremental Data Loads
Deploying and Operating SSIS Packages
Lab : Using SQL Server Integration Services
Extracting Modified Data
Deploying and Operating an SSIS Project
Module 8: Data Quality Services
Introduction to Data Quality
Using Data Quality Services to Cleanse Data
Using Data Quality Services to Match Data
Lab : Cleansing Data
Creating a DQS Knowledge Base
Using a DQS Project to Cleanse Data
Using DQS in an SSIS Package
Lab : Deduplicating Data
Creating a Matching Policy
Using a DQS Project to Match Data
Module 9: Master Data Services
Introduction to Master Data Services
Implementing a Master Data Services Model
Using the Master Data Services Add-in for Excel
Lab : Implementing Master Data Services
Creating a Basic Model
Editing a Model by Using the Master Data Services Add-in for Excel
Loading Data into a Model
Enforcing Business Rules
Consuming Master Data Services Data
Module 10: SQL Server 2014 Reporting Services
Reporting Services Overview
Reporting Services and Microsoft SharePoint Server
Introduction to Data Alerts
Lab : Using SQL Server 2014 Reporting Services
Viewing SharePoint Mode Configuration
Authoring, Publishing, and Viewing a Report
Creating and Managing Data Alerts
Module 11: Implementing an Analysis Services Tabular Data Model
Introduction to Analysis Services Tabular Data Model Projects
Creating a Tabular Model
Using an Analysis Services Tabular Data Model in the Enterprise
Lab : Working with an Analysis Services Tabular Data Model
Creating an Analysis Services Tabular Data Model Project
Configuring Columns and Relationships
Using Custom DAX Expressions
Deploying an Analysis Services Tabular Data Model
Module 12: Self-Service BI with Microsoft Excel
PowerPivot for Excel
PowerPivot for SharePoint Server
Power Query
Power View
Power Map
Collaborative Analysis with Power BI for Office 365
Lab : Self-Service BI with Excel
Creating a Data Model with PowerPivot
Importing Data with Power Query
Visualizing Data with Power View
Visualizing Geographic Data with Power Map
Module 13: Introduction to Cloud Data Solutions
Overview of Cloud Computing
Microsoft Azure Services for Data
Lab : Using Microsoft Azure
Creating a Microsoft Azure Storage Account
Backing Up a Database to Microsoft Azure
Storing Data Files in Microsoft Azure
Module 14: Microsoft Azure SQL Database
Introduction to Microsoft Azure SQL Database
Microsoft Azure SQL Database Security
Implementing and Managing Databases
Lab : Using Microsoft Azure SQL Database
Provisioning Microsoft Azure SQL Database
Configuring Microsoft Azure SQL Database Security
Migrating a SQL Server Database to Microsoft Azure SQL Database
Module 15: SQL Server in Microsoft Azure Virtual Machines
Introduction to Microsoft Azure Virtual Machines
Microsoft Azure Virtual Machine Connectivity and Security
Creating Databases in a Microsoft Azure Virtual Machine
Lab : Using Microsoft Azure Virtual Machines
Creating a Microsoft Azure Virtual Machine
Configuring Virtual Machine Security and Connectivity
Creating Databases on a Virtual Machine
Module 16: Implementing Big Data Solutions
Introduction to Big Data
Microsoft Azure HDInsight
Consuming HDInsight Results in Excel
Obtaining Data from the Microsoft Azure Marketplace
Lab : Creating a Big Data Solution
Provisioning an HDInsight Cluster
Processing Data with HDInsight
Analyzing Big Data in Excel
Obtaining Data from the Microsoft Azure Marketplace