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10776: Developing Microsoft SQL Server 2012 Databases

Course Outline
Duration: 40 Hours

This course introduces SQL Server 2012 and describes logical table design, indexing and query plans. It also focuses on the creation of database objects including views, stored procedures, along with parameters, and functions. Other common aspects of procedure coding, such as transactions, concurrency, error handling, triggers, and SQL CLR are also covered in this course.

Module 1: Introduction to SQL Server 2012 and its Toolset

  • Introduction to the SQL Server Platform
  • Working with SQL Server Tools
  • Configuring SQL Server Services

Module 2: Working with Data Types

  • Using Data Types
  • Working with Character Data
  • Converting Data Types
  • Specialized Data Types

Module 3: Designing and Implementing Tables

  • Designing Tables
  • Working with Schemas
  • Creating and Altering Tables

Module 4: Ensuring Data Integrity through Constraints

  • Enforcing Data Integrity
  • Implementing Domain Integrity
  • Implementing Entity and Referential Integrity

Module 5: Planning for SQL Server 2012 Indexing

  • Core Indexing Concepts
  • Data Types and Indexes
  • Single Column and Composite Indexes

Module 6: Implementing Table Structures in SQL Server 2012

  • SQL Server Table Structures
  • Working with Clustered Indexes
  • Designing Effective Clustered Indexes

Module 7: Reading SQL Server 2012 Execution Plans

  • Execution Plan Core Concepts
  • Common Execution Plan Elements
  • Working with Execution Plans

Module 8: Improving Performance through Non-clustered Indexes

  • Designing Effective Non-clustered Indexes
  • Implementing Non-clustered Indexes
  • Using the Database Engine Tuning Advisor

Module 9: Designing and Implementing Views

  • Introduction to Views
  • Creating and Managing Views
  • Performance Considerations for Views

Module 10: Designing and Implementing Stored Procedures

  • Introduction to Stored Procedures
  • Working With Stored Procedures
  • Implementing Parameterized Stored Procedures
  • Controlling Execution Context

Module 11: Merging Data and Passing Tables

  • Using the MERGE Statement
  • Implementing Table Types
  • Using TABLE Types As Parameters

Module 12: Designing and Implementing User-Defined Functions

  • Overview of Functions
  • Designing and Implementing Scalar Functions
  • Designing and Implementing Table-Valued Functions
  • Implementation Considerations for Functions
  • Alternatives to Functions

Module 13: Creating Highly Concurrent SQL Server 2012 Applications

  • Introduction to Transactions
  • Introduction to Locks
  • Management of Locking
  • Transaction Isolation Levels

Module 14: Handling Errors in T-SQL Code

  • Understanding T-SQL Error Handling
  • Implementing T-SQL Error Handling
  • Implementing Structured Exception Handling

Module 15: Responding to Data Manipulation via Triggers

  • Designing DML Triggers
  • Implementing DML Triggers
  • Advanced Trigger Concepts

Module 16: Implementing Managed Code in SQL Server 2012

  • Introduction to SQL CLR Integration
  • Importing and Configuring Assemblies
  • Implementing SQL CLR Integration


Module 17: Storing XML Data in SQL Server 2012

  • Introduction to XML and XML Schemas
  • Storing XML Data and Schemas in SQL Server
  • Implementing the XML Data Type


Module 18: Querying XML Data in SQL Server

  • Using the T-SQL FOR XML Statement
  • Getting Started with XQuery
  • Shredding XML


Module 19: Working with SQL Server 2012 Spatial Data

  • Introduction to Spatial Data
  • Working with SQL Server Spatial Data Types
  • Using Spatial Data in Applications

Module 20: Working with Full-Text Indexes and Queries

  • Introduction to Full-Text Indexing
  • Implementing Full-Text Indexes in SQL Server
  • Working with Full-Text Queries

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10775: Administering Microsoft SQL Server 2012 Databases

Course Outline
Duration: 40 Hours

This course provides students with the knowledge and skills to maintain a Microsoft SQL Server 2012 database. The course focuses on teaching individuals how to use SQL Server 2012 product features and tools related to maintaining a database.

Module 1: Introduction to SQL Server 2012 and its Toolset

  • Introduction to the SQL Server Platform
  • Working with SQL Server Tools
  • Configuring SQL Server Services

Module 2: Preparing Systems for SQL Server 2012

  • Overview of SQL Server Architecture
  • Planning Server Resource Requirements
  • Pre-installation Testing for SQL Server

Module 3: Installing and Configuring SQL Server 2012

  • Preparing to Install SQL Server
  • Installing SQL Server
  • Upgrading and Automating Installation


Module 4: Working with Databases

  • Overview of SQL Server Databases
  • Working with Files and Filegroups
  • Moving Database Files

Module 5: Understanding SQL Server 2012 Recovery Models

  • Backup Strategies
  • Understanding SQL Server Transaction Logging
  • Planning a SQL Server Backup Strategy


Module 6: Backup of SQL Server 2012 Databases

  • Backing up Databases and Transaction Logs
  • Managing Database Backups
  • Working with Backup Options


Module 7: Restoring SQL Server 2012 Databases

  • Understanding the Restore Process
  • Restoring Databases
  • Working with Point-in-time recovery
  • Restoring System Databases and Individual Files


Module 8: Importing and Exporting Data

  • Transferring Data To/From SQL Server
  • Importing and Exporting Table Data
  • Inserting Data in Bulk


Module 9: Authenticating and Authorizing Users

  • Authenticating Connections to SQL Server
  • Authorizing Logins to Access Databases
  • Authorization Across Servers


Module 10: Assigning Server and Database Roles

  • Working with Server Roles
  • Working with Fixed Database Roles
  • Creating User-defined Database Roles


Module 11: Authorizing Users to Access Resources

  • Authorizing User Access to Objects
  • Authorizing Users to Execute Code
  • Configuring Permissions at the Schema Level


Module 12: Auditing SQL Server Environments

  • Options for Auditing Data Access in SQL
  • Implementing SQL Server Audit
  • Managing SQL Server Audit

Module 13: Automating SQL Server 2012 Management

  • Automating SQL Server Management
  • Working with SQL Server Agent
  • Managing SQL Server Agent Jobs


Module 14: Configuring Security for SQL Server Agent

  • Understanding SQL Server Agent Security
  • Configuring Credentials
  • Configuring Proxy Accounts


Module 15: Monitoring SQL Server 2012 with Alerts and Notifications

  • Configuration of Database Mail
  • Monitoring SQL Server Errors
  • Configuring Operators, Alerts and Notifications


Module 16: Performing Ongoing Database Maintenance

  • Ensuring Database Integrity
  • Maintaining Indexes
  • Automating Routine Database Maintenance


Module 17: Tracing Access to SQL Server 2012

  • Capturing Activity using SQL Server Profiler
  • Improving Performance with the Database Engine Tuning Advisor
  • Working with Tracing Options


Module 18: Monitoring SQL Server 2012

  • Monitoring Activity
  • Capturing and Managing Performance Data
  • Analyzing Collected Performance Data


Module 19: Managing Multiple Servers

  • Working with Multiple Servers
  • Virtualizing SQL Server
  • Deploying and Upgrading Data-Tier Applications


Module 20: Troubleshooting Common SQL Server 2012 Administrative Issues

  • SQL Server Troubleshooting Methodology
  • Resolving Service-related Issues
  • Resolving Concurrency Issues
  • Resolving Login and Connectivity Issues

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Designing a Data Solution with Microsoft SQL Server 2014

Course Outline
Duration: 40 hours

Module 1: Introduction to Enterprise Data Architecture

As organizations grow to enterprise scale, their IT infrastructure requirements become more complex and the network environment often includes an increasing number of servers, client computers, network segments, and other components. Because data is fundamental to most IT operations, careful thought must be given to the provisioning and management of databases across the enterprise.

Lessons

  • Considerations for Enterprise Data
  • Assessing an Existing Infrastructure

Lab : Assessing an Existing Enterprise Data Infrastructure

  • Using the MAP Toolkit
  • Reviewing MAP Toolkit Reports
After completing this module, you will be able to:
  • Describe the considerations for enterprise data infrastructure.
  • Use the MAP Toolkit to assess an existing enterprise data environment.


Module 2: Multi-Server Configuration Management

When an enterprise infrastructure includes multiple database servers, it can be useful to standardize and enforce configuration settings in order to ensure compliance and manageability. This module discusses Policy-Based Management in SQL Server, and describes how it can be used together with enterprise configuration management tools such as Microsoft System Center to aid enterprise database server management.

Lessons

  • Policy-Based Management
  • Microsoft System Center

Lab : Planning and Implementing Policy-Based Management

  • Planning a Policy-Based Management Strategy
  • Implementing Policy-Based Management
  • Testing Policy Compliance
After completing this module, you will be able to:
  • Implement Policy-Based Management
  • Describe how System Center can be used to manage database infrastructure


Module 3: Monitoring SQL Server 2014 Health
This module describes Data Collector and the SQL Server Utility Control Point (UCP), two features of SQL Server 2014 that enable you to perform in-depth health monitoring across the enterprise.Lessons

  • Introduction to Health Monitoring
  • Data Collector
  • SQL Server Utility

Lab : Monitoring SQL Server Health

  • Preparing for Database Consolidation
  • Managing Resources for an Instance of SQL Server
  • Managing Resources for Multiple Instances on a Windows Server
After completing this module, you will be able to:
  • Describe the options for multi-server health monitoring in SQL Server 2014.
  • Describe and configure Data Collector.
  • Describe and configure SQL Server Utility.


Module 4: Consolidating Database Workloads with SQL Server 2014
This module provides an overview of the benefits of consolidating database workloads by using SQL Server 2014, and describes the different options for implementing a consolidation strategy. It also describes how you can manage a consolidated infrastructure in various scenarios.

Lessons

  • Considerations for Database Server Consolidation
  • Managing Resources in a Consolidated Database Infrastructure

Lab : SQL Server Consolidation

  • Creating a prepared Instance
  • Completing a prepared Instance
After completing this module, you will be able to:
  • Describe the considerations for consolidating databases and database servers.
  • Explain the options for managing resources in various consolidation scenarios.


Module 5: Introduction to Cloud Data Solutions
Cloud computing has risen to prominence very rapidly within the world of IT, and many organizations have implemented or are planning to implement cloud-based solutions that encompass all or part of their infrastructure. This module describes some of the fundamental concepts of cloud computing and outlines how to include SQL Server 2014 in a private cloud infrastructure.

Lessons

  • Overview of Cloud Computing
  • SQL Server in a Private Cloud

Lab : Preparing a SQL Server Installation in a Virtual Machine Template

  • Creating a Microsoft Azure Storage Account
  • Backing Up a Database to Microsoft Azure
After completing this module, you will be able to:
  • Explain the fundamental concepts behind cloud computing, and describe the technologies that underpin Microsoft cloud solutions.
  • Describe how to provide SQL Server based data services in a private cloud infrastructure.


Module 6: Introduction to Microsoft Azure
Cloud computing has risen to prominence very rapidly within the world of IT, and many organizations have implemented or are planning to implement cloud-based solutions that encompass all or part of their infrastructure. This module describes some of the fundamental concepts of cloud computing and outlines some of the important technologies, such as Microsoft Azure services, that organizations can use to build a cloud-based platform for SQL Server 2014.

Lessons

  • Microsoft Azure Overview
  • Microsoft Azure Storage

Lab : Using Microsoft Azure

  • Provisioning Microsoft Azure SQL Database
  • Configuring Microsoft Azure SQL Database Security
  • Migrating a Database to Microsoft Azure SQL Database
After completing this module, you will be able to:
  • Describe Microsoft Azure and the services it provides.
  • Use Microsoft Azure storage for SQL Server database files and backups.


Module 7: Microsoft Azure SQL Database
Microsoft’s cloud platform includes Microsoft Azure SQL Database, which you can use to use SQL Server to host your databases without having to take on the responsibility of managing SQL Server itself, or the operating system that supports it. This module describes Microsoft Azure SQL Database, including how to provision it, how to implement security, how to manage databases and how to migrate databases to Microsoft Azure SQL Database.

Lessons

  • Introduction to Microsoft Azure SQL Database
  • Microsoft Azure SQL Database Security
  • Implementing and Managing Databases

Lab : Using Microsoft Azure SQL Database

  • Creating a Microsoft Azure Virtual Machine
  • Configuring Microsoft Azure Virtual Machines Security and Connectivity
  • Creating Databases on a Virtual Machine
After completing this module, you will be able to:
  • Describe the key features of Microsoft Azure SQL Database.
  • Explain how to implement security for Microsoft Azure SQL Database.
  • Implement and manage a database in Microsoft Azure SQL Database.


Module 8: SQL Server in Microsoft Azure Virtual Machines
Using virtual machines in Microsoft Azure to host SQL Server instances and databases enables you to take advantage of the benefits of the cloud whilst retaining greater control over the infrastructure than you can when using Microsoft Azure SQL Database. This module explains the benefits and considerations for using virtual machines in Microsoft Azure. It also describes how to create and configure virtual machines in Microsoft Azure, and how to work with SQL Server databases in virtual machines in Microsoft Azure.

Lessons

  • 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

  • Configure Log Shipping
  • Test the Log Shipping Configuration
  • Test Failover
After completing this module, you will be able to:
  • Describe the benefits of Microsoft Azure virtual machines and create a Microsoft Azure virtual machine.
  • Describe and configure Microsoft Azure virtual machine security and connectivity.
  • Create a SQL Server database in a Microsoft Azure virtual machine.


Module 9: Introduction to High Availability in SQL Server 2014
Maintaining highly available database services is vital in a 24 hour operating environment. SQL Server 2014 includes many features that can help organizations to deliver the levels of service they require to drive their businesses. This module explains the different ways that you can implement high availability by using SQL Server 2014. It also describes how to use log shipping to promote resilience for individual user databases.

Lessons

  • High Availability Concepts and Options in SQL Server 2014
  • Log Shipping

Lab : Using Log Shipping

  • Inspect the Windows Server Failover Cluster Configuration
  • Install an AlwaysOn Failover Cluster Instance
  • Configure tempdb to Use Local Storage
  • Test Automatic Failover and Failback
After completing this module, you will be able to:
  • Describe the core concepts and options for implementing high availability in SQL Server 2014.
  • Describe how to implement high availability for individual databases by using log shipping.


Module 10: Clustering with Windows Server and SQL Server 2014
SQL Server 2014 is closely integrated with the Windows Server Failover Clustering feature in Windows Server 2012 and Windows Server 2012 R2, enabling you to create enterprise-class clustering solutions that can deliver comprehensive high availability and disaster recovery solutions. This module explains how Windows Server Failover Clustering and SQL Server AlwaysOn Failover Cluster Instances work, and describes how to implement clustering to protect service availability.

Lessons

  • Introduction to Windows Server Failover Clustering
  • SQL Server AlwaysOn Failover Cluster Instances

Lab : Implementing an AlwaysOn Failover Cluster Instance

  • Implementing an AlwaysOn Availability Group
  • Connecting to an AlwaysOn Availability Group
  • Testing Failover
  • Configure Quorum Voting
After completing this module, you will be able to:
  • Describe the key benefits and features of Windows Server Failover Clustering.
  • Describe how to use SQL Server AlwaysOn Failover Cluster Instances to maintain high availability for SQL Server instances.


Module 11: AlwaysOn Availability Groups

SQL Server 2014 includes AlwaysOn Availability Groups to provide high availability for groups of databases. This module describes AlwaysOn Availability Groups in SQL Server 2014, explains the key concepts of AlwaysOn Availability Groups, and describes how you can use them to maintain highly available databases.

Lessons

  • Introduction to AlwaysOn Availability Groups
  • Working with AlwaysOn Availability Groups
  • Considerations for Using AlwaysOn Availability Groups

Lab : Implementing and Testing an AlwaysOn Availability Group

  • Planning High Availability and Disaster Recovery Solutions with SQL Server 2014
  • Planning High Availability and Disaster Recovery Solutions by Using Microsoft Azure
After completing this module, you will be able to:
  • Describe the fundamental concepts and terminology for AlwaysOn Availability Groups.
  • Explain how work with AlwaysOn Availability Groups.


Module 12: Planning High Availability and Disaster Recovery
This module describes the planning considerations for high availability and disaster recovery, and provides common implementation scenarios for on-premises, hybrid, and Microsoft Azure environments.Lessons

  • High Availability and Disaster Recovery with SQL Server 2014
  • High Availability and Disaster Recovery for Databases in Microsoft Azure

Lab : Planning High Availability and Disaster Recovery

  • Planning Replication
  • Implementing Replication
After completing this module, you will be able to:
  • Explain the considerations for implementing high availability and disaster recovery by using SQL Server 2014, and describe some common scenarios.
  • Explain the considerations for implementing high availability and disaster recovery by using SQL Server 2014 and Microsoft Azure services, and describe some common scenarios.


Module 13: Replicating Data
SQL Server replication enables you to copy and distribute data and database objects to other computers and locations in your enterprise, which can improve availability and scalability. This module provides an overview of SQL Server replication and explains the agents used to implement replication. It also describes some common replication scenarios, how to design an appropriate replication system for your requirements, and how to monitor and troubleshoot replication.

Lessons

  • SQL Server Replication
  • Planning Replication

Lab : Planning and Implementing Replication

After completing this module, you will be able to:
  • Describe SQL Server replication.
  • Identify an appropriate replication solution for a particular scenario.

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Designing Self-Service Business Intelligence and Big Data Solutions

Course Outline
Duration: 40 hours


Module 1: Planning a BI Solution
This modules discusses how to plan the components of a BI solution.

Lessons

  • Elements of a BI Solution
  • Planning a BI Project
  • The Microsoft BI Platform

Lab : Planning a BI Solution

  • Exercise 1: Scoping a BI Solution.
  • Exercise 2: Reviewing a Suggested Solution
After completing this module, students will be able to:
  • Describe elements of a BI Solution.
  • Describe considerations for a BI project.
  • Describe how Microsoft products can be used to implement a BI solution.


Module 2: Planning a BI Infrastructure
This modules explains how to plan an appropriate BI infrastructure for a given set of BI services.

Lessons

  • Planning a Data Warehouse Infrastructure
  • Planning an ETL Infrastructure
  • Planning Analysis Services Infrastructure
  • Planning Reporting Services Infrastructure

Lab : Planning a BI Infrastructure

  • Exercise 1: Determining Required Servers
  • Exercise 2: Determining Data Warehouse Server Hardware Requirements
  • Exercise 3: Reviewing a Suggested Solution
After completing this module, students will be able to:
  • Plan a data warehouse infrastructure
  • Plan an ETL infrastructure
  • Plan Analysis Services infrastructure
  • Plan Reporting Services infrastructure


Module 3: Designing a Data Warehouse
This module explain how to design a data warehouse for a given set of user requirements.

Lessons

  • Designing a Logical Schema
  • Designing a Physical Schema

Lab : Designing a Data Warehouse Physical Schema

  • Exercise 1: Identifying Required Dimensions
  • Exercise 2: Identifying Measures and Hierarchies
  • Exercise 3: Designing a Data Warehouse Schema
  • Exercise 4: Reviewing a Suggested Solution
  • Exercise 1: Planning Database Storage
  • Exercise 2: Designing Partitioning
  • Exercise 3: Designing Indexes
  • Exercise 4: Reviewing a Suggested Solution

Lab : Designing a Data Warehouse Logical Schema

  • Exercise 1: Identifying Required Dimensions
  • Exercise 2: Identifying Measures and Hierarchies
  • Exercise 3: Designing a Data Warehouse Schema
  • Exercise 4: Reviewing a Suggested Solution
  • Exercise 1: Planning Database Storage
  • Exercise 2: Designing Partitioning
  • Exercise 3: Designing Indexes
  • Exercise 4: Reviewing a Suggested Solution
After completing this module, students will be able to:
  • Select a data modeling approach.
  • Design a physical data warehouse schema


Module 4: Designing an ETL Solution
This module explains how to design an ETL solution for a data warehouse.

Lessons

  • Planning for Data Extraction
  • Planning for Data Transformation
  • Planning for Data Loading
  • Planning for SSIS Package Deployment

Lab : Designing an ETL Solution

  • Exercise 1: Reviewing Data Sources
  • Exercise 2: Creating Source-to-Target Maps
  • Exercise 3: Planning ETL Processes
  • Exercise 4: Reviewing a Suggested Solution
After completing this module, students will be able to:
  • Plan data extraction in an ETL solution.
  • Plan data transformation in an ETL solution.
  • Plan data loading in an ETL solution.
  • Plan SSIS package deployment


Module 5: Designing Analytical Data Models
This module explains how to design analytical data models for specific BI scenarios.Lessons

  • Options for Analytical Models
  • Data Model Design Considerations

Lab : Comparing Analytical Data Models

  • Exercise 1: Creating a Multidimensional Model
  • Exercise 2: Creating a Tabular Model
  • Exercise 1: Designing Dimension Attributes
  • Exercise 2: Designing Data Model Aggregations and Storage
  • Exercise 3: Reviewing a Suggested Solution

Lab : Designing Data Models

  • Exercise 1: Creating a Multidimensional Model
  • Exercise 2: Creating a Tabular Model
  • Exercise 1: Designing Dimension Attributes
  • Exercise 2: Designing Data Model Aggregations and Storage
  • Exercise 3: Reviewing a Suggested Solution
After completing this module, students will be able to:
  • Describe options for analytical models.
  • Describe considerations for cube design.


Module 6: Planning a BI Delivery Solution
This module explains how to choose an appropriate delivery solution for a given scenario.

Lessons

  • Considerations for BI Delivery
  • Choosing a Delivery Approach

Lab : Planning a BI Delivery Solution

  • Exercise 1: Assessing Reporting Requirements
After completing this module, students will be able to:
  • Describe considerations for planning a BI delivery solution.
  • Choose an appropriate technique for a given scenario.


Module 7: Designing a Reporting Services Solution
This module explains how to design a Reporting Services solution.

Lessons

  • Designing Reports
  • Considerations for Report Execution
  • Planning a Reporting Solution

Lab : Designing a Reporting Services Solution

  • Exercise 1: Planning a Reporting Services Solution
  • Exercise 2: Planning a Report Delivery Environment
  • Exercise 3: Configuring Report Execution
After completing this module, students will be able to:
  • Plan a reporting solution.
  • Describe considerations for report data.
  • Describe considerations for report execution.


Module 8: Designing an Excel-Based Reporting Solution
This module explains how to design a reporting solution that uses Excel.

Lessons

  • Using Excel for Data Reporting and Analysis
  • PowerPivot in Excel
  • Power View in Excel

Lab : Designing an Excel Reporting Solution

  • Exercise 1: Planning Excel Features
  • Exercise 2: Analyzing a Cube with Excel
  • Exercise 3: Using PowerPivot
  • Exercise 4: Using Power View
After completing this module, students will be able to:
  • Use Excel to analyze data.
  • Use PowerPivot to analyze data.
  • Use Power View to analyze data.


Module 9: Planning a SharePoint Server BI Solution
This module explains how to design a SharePoint BI solution.Lessons

  • Introduction to SharePoint Server as a BI Platform
  • Planning Security for a SharePoint Server BI Solution
  • Planning Reporting Services Configuration
  • Planning PowerPivot Configuration
  • Planning for PerformancePoint Services

Lab : Planning a SharePoint Server BI Solution

  • Exercise 1: Planning SharePoint Server Security
  • Exercise 2: Configuring Reporting Services in SharePoint Server
  • Exercise 3: Managing PowerPivot Data Refresh
  • Exercise 4: Reviewing PowerPivot Activity
  • Exercise 5 (Optional) Creating a PerformancePoint Dashboard
After completing this module, students will be able to:
  • Describe key considerations for using SharePoint for BI
  • Describe key considerations for security when using SharePoint for BI
  • Plan the deployment and configuration of Reporting Services in SharePoint Integration Mode
  • Plan the deployment and configuration of PowerPivot
  • Plan PerformancePoint Services in a SharePoint site


Module 10: Monitoring and Optimizing a BI Solution
This module explains how to monitor and optimize a BI solution.Lessons

  • Overview of BI Monitoring
  • Monitoring and Optimizing the Data Warehouse
  • Monitoring and Optimizing Analysis Services
  • Monitoring and Optimizing Reporting Services

Lab : Monitoring and Optimizing a BI Solution

  • Exercise 1: Monitoring and Optimizing a Data Warehouse
  • Exercise 2: Troubleshooting Analysis Services Queries
  • Exercise 3: Monitoring and Optimizing Reporting Services
After completing this module, students will be able to:
  • Plan BI monitoring.
  • Plan data warehouse monitoring and optimization.
  • Plan Analysis Services monitoring and optimization.
  • Plan Reporting Services monitoring and optimization


Module 11: Planning BI Operations
This module explains how to plan management and maintenance operations for a BI solution.

Lessons

  • Overview of BI Operations
  • Automating ETL Tasks
  • Post ETL Tasks
  • Planning a Backup Strategy for a BI Solution

Lab : Planning BI Operations

  • Exercise 1: Planning ETL and Processing Tasks
  • Exercise 2: Planning a Backup Strategy
After completing this module, students will be able to:
  • Plan BI operations.
  • Plan ETL operations.
  • Plan post-ETL tasks.
  • Plan backup for a BI solution.

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