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Microsoft SQL Server 2012: Designing Buisness Intelligence Solutions

Längd: 5 Days Kurskod: M20467 Version: A

Sammanfattning:

Denna 5-dagarskurs lär dig hur du designar och implementerar en BI-Infrastruktur. Kursen tar upp och diskuterar design, installation och underhåll av en BI-plattform. Kursen mappar mot Microsofts certifiering 70-647: Designing Business Intelligence Solutions with Microsoft SQL Server 2012, och tillsammans med praktisk erfarenhet hjälper den dig att förbereda för certifieringen.

Kursen är till för dig som jobbar med BI och beslutsstöd och som behöver designa BI-lösningar. Arkitekter som behöver designa hur en BI-infrastruktur relaterar till andra system som används har stor nytta av denna kurs. Du får även lära dig hur du designar Online Analytical Processing (OLAP) kuber och integrerar det med Microsoft SharePoint eller övriga applikationer. Man lär sig även att tillämpa dessa kunskaper i en Windows Azure SQL Server-databas.

Målsättning:

Plan the components of a BI solution. Design an Excel reporting solution.

Plan a BI infrastructure. Design a data warehouse. Plan a SharePoint Server BI solution. Design an ETL solution. Plan analytical data models. Monitor and optimize a BI solution. Plan a BI delivery solution. Design a Reporting Services solution. Plan for BI operations

Förkunskaper:

Ha grundläggande förståelse för dimensional modeling (star schema) i Data Warehouse

Kunna skapa en multidimensionell kub med Analysis Services Kunna skapa en tabellmodell med PowerPivot och Analysis Services

Kunna skapa Reporting Services med Report Designer

Kunna implementera autentisering och Permissions i SQL Server databasmotorn, Analysis Services och Reporting Services Vara bekant med SharePoint Server och Microsoft-applikationer, speciellt Excel Elever som går denna kurs kan med fördel tidigare ha gått följande kurser: 10777 - Microsoft SQL Server 2012: Data Warehouse

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Innehåll:

Module 1: Planning a BI Solution This This module explains how to design an ETL This module explains how to design a

modules discusses how to plan the solution for a data warehouse. Reporting Services solution.

components of a BI solution. line line

line

Lessons Lessons

Lessons: line line

line Planning a Data Warehouse Planning a Data Warehouse Infrastructure

Elements of a BI Solution Infrastructure Planning an ETL Infrastructure

Planning a BI Project Planning an ETL Infrastructure Planning Analysis Services Infrastructure

The Microsoft BI Platform Planning Analysis Services Infrastructure Planning Reporting Services Infrastructure

Lab : Planning a BI Solution Planning Reporting Services Lab : Planning a BI Infrastructure

Exercise 1: Scoping a BI Solution. Infrastructure Exercise 1: Determining Required Servers

Exercise 2: Reviewing a Suggested Solution Lab : Planning a BI Infrastructure Exercise 2: Determining Data Warehouse After completing this module, students will Exercise 1: Determining Required Server Hardware Requirements

be able to: Servers Exercise 3: Reviewing a Suggested

Describe elements of a BI Solution. Exercise 2: Determining Data Warehouse Solution

Describe considerations for a BI project. Server Hardware Requirements After completing this module, students will Describe how Microsoft products can be Exercise 3: Reviewing a Suggested be able to:

used to implement a BI solution. Solution Plan a data warehouse infrastructure

After completing this module, students Plan an ETL infrastructure

Module 2: Planning a BI Infrastructure will be able to: Plan Analysis Services infrastructure

line Plan a data warehouse infrastructure Plan Reporting Services infrastructure

Plan an ETL infrastructure Designing a Logical Schema

This modules explains how to plan an Plan Analysis Services infrastructure Designing a Physical Schema Lab : appropriate BI infrastructure for a given set of Plan Reporting Services infrastructure Designing a Data Warehouse Logical

BI services. Designing a Logical Schema Schema

line Designing a Physical Schema Lab : Exercise 1: Identifying Required

Designing a Data Warehouse Logical Dimensions

Lessons Schema Exercise 2: Identifying Measures and

line Exercise 1: Identifying Required Hierarchies

Planning a Data Warehouse Infrastructure Dimensions Exercise 3: Designing a Data Warehouse

Planning an ETL Infrastructure Exercise 2: Identifying Measures and Schema

Planning Analysis Services Infrastructure Hierarchies Exercise 4: Reviewing a Suggested

Planning Reporting Services Infrastructure Exercise 3: Designing a Data Warehouse Solution

Lab : Planning a BI Infrastructure Schema Lab : Designing a Data Warehouse

Exercise 1: Determining Required Servers Exercise 4: Reviewing a Suggested Physical Schema

Exercise 2: Determining Data Warehouse Solution Exercise 1: Planning Database Storage

Server Hardware Requirements Lab : Designing a Data Warehouse Exercise 2: Designing Partitioning

Exercise 3: Reviewing a Suggested Solution Physical Schema Exercise 3: Designing Indexes

After completing this module, students will Exercise 1: Planning Database Storage Exercise 4: Reviewing a Suggested

be able to: Exercise 2: Designing Partitioning Solution

Plan a data warehouse infrastructure Exercise 3: Designing Indexes After completing this module, students will

Plan an ETL infrastructure Exercise 4: Reviewing a Suggested be able to:

Plan Analysis Services infrastructure Solution Select a data modeling approach.

Plan Reporting Services infrastructure After completing this module, students Design a physical data warehouse schema

Designing a Logical Schema will be able to: Planning for Data Extraction

Designing a Physical Schema Lab : Select a data modeling approach. Planning for Data Transformation Designing a Data Warehouse Logical Design a physical data warehouse Planning for Data Loading

Schema schema Planning for SSIS Package Deployment

Exercise 1: Identifying Required Dimensions Planning for Data Extraction Lab : Designing an ETL Solution Exercise 2: Identifying Measures and Planning for Data Transformation Exercise 1: Reviewing Data Sources

Hierarchies Planning for Data Loading Exercise 2: Creating Source-to-Target

Exercise 3: Designing a Data Warehouse Planning for SSIS Package Deployment Maps

Schema Lab : Designing an ETL Solution Exercise 3: Planning ETL Processes

Exercise 4: Reviewing a Suggested Solution Exercise 1: Reviewing Data Sources Exercise 4: Reviewing a Suggested Lab : Designing a Data Warehouse Physical Exercise 2: Creating Source-to-Target Solution

Schema Maps After completing this module, students will

Exercise 1: Planning Database Storage Exercise 3: Planning ETL Processes be able to:

Exercise 2: Designing Partitioning Exercise 4: Reviewing a Suggested Plan data extraction in an ETL solution.

Exercise 3: Designing Indexes Solution Plan data transformation in an ETL

Exercise 4: Reviewing a Suggested Solution After completing this module, students solution.

After completing this module, students will will be able to: Plan data loading in an ETL solution.

be able to: Plan data extraction in an ETL solution. Plan SSIS package deployment

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Design a physical data warehouse schema solution. Design Considerations

Planning for Data Extraction Plan data loading in an ETL solution. Lab : Comparing Analytical Data Models Planning for Data Transformation Plan SSIS package deployment Exercise 1: Creating a Multidimensional

Planning for Data Loading Options for Analytical Models Data Model Model

Planning for SSIS Package Deployment Design Considerations Exercise 2: Creating a Tabular Model

Lab : Designing an ETL Solution Lab : Comparing Analytical Data Models Lab : Designing Data Models Exercise 1: Reviewing Data Sources Exercise 1: Creating a Multidimensional Exercise 1: Designing Dimension

Exercise 2: Creating Source-to-Target Maps Model Attributes

Exercise 3: Planning ETL Processes Exercise 2: Creating a Tabular Model Exercise 2: Designing Data Model Exercise 4: Reviewing a Suggested Solution Lab : Designing Data Models Aggregations and Storage After completing this module, students will Exercise 1: Designing Dimension Exercise 3: Reviewing a Suggested

be able to: Attributes Solution

Plan data extraction in an ETL solution. Exercise 2: Designing Data Model After completing this module, students will Plan data transformation in an ETL solution. Aggregations and Storage be able to:

Plan data loading in an ETL solution. Exercise 3: Reviewing a Suggested Describe options for analytical models.

Plan SSIS package deployment Solution Describe considerations for cube design.

Options for Analytical Models Data Model After completing this module, students Considerations for BI Delivery Choosing a

Design Considerations will be able to: Delivery Approach

Lab : Comparing Analytical Data Models Describe options for analytical models. Lab : Planning a BI Delivery Solution Exercise 1: Creating a Multidimensional Describe considerations for cube design. Exercise 1: Assessing Reporting

Model Considerations for BI Delivery Choosing Requirements

Exercise 2: Creating a Tabular Model a Delivery Approach After completing this module, students will

Lab : Designing Data Models Lab : Planning a BI Delivery Solution be able to:

Exercise 1: Designing Dimension Attributes Exercise 1: Assessing Reporting Describe considerations for planning a BI

Exercise 2: Designing Data Model Requirements delivery solution.

Aggregations and Storage After completing this module, students Choose an appropriate technique for a

Exercise 3: Reviewing a Suggested Solution will be able to: given scenario.

After completing this module, students will Describe considerations for planning a BI Designing Reports

be able to: delivery solution. Considerations for Report Execution

Describe options for analytical models. Choose an appropriate technique for a Planning a Reporting Solution

Describe considerations for cube design. given scenario. Lab : Designing a Reporting Services

Considerations for BI Delivery Choosing a Designing Reports Solution

Delivery Approach Considerations for Report Execution Exercise 1: Planning a Reporting Services

Lab : Planning a BI Delivery Solution Planning a Reporting Solution Solution

Exercise 1: Assessing Reporting Lab : Designing a Reporting Services Exercise 2: Planning a Report Delivery

Requirements Solution Environment

After completing this module, students will Exercise 1: Planning a Reporting Exercise 3: Configuring Report Execution

be able to: Services Solution After completing this module, students will

Describe considerations for planning a BI Exercise 2: Planning a Report Delivery be able to:

delivery solution. Environment Plan a reporting solution.

Choose an appropriate technique for a given Exercise 3: Configuring Report Execution Describe considerations for report data.

scenario. After completing this module, students Describe considerations for report

Designing Reports will be able to: execution.

Considerations for Report Execution Plan a reporting solution. Using Excel for Data Reporting and Planning a Reporting Solution Describe considerations for report data. Analysis

Lab : Designing a Reporting Services Describe considerations for report PowerPivot in Excel

Solution execution. Power View in Excel

Exercise 1: Planning a Reporting Services Using Excel for Data Reporting and Lab : Designing an Excel Reporting

Solution Analysis Solution

Exercise 2: Planning a Report Delivery PowerPivot in Excel Exercise 1: Planning Excel Features

Environment Power View in Excel Exercise 2: Analyzing a Cube with Excel

Exercise 3: Configuring Report Execution Lab : Designing an Excel Reporting Exercise 3: Using PowerPivot

After completing this module, students will Solution Exercise 4: Using Power View

be able to: Exercise 1: Planning Excel Features After completing this module, students will

Plan a reporting solution. Exercise 2: Analyzing a Cube with Excel be able to:

Describe considerations for report data. Exercise 3: Using PowerPivot Use Excel to analyze data. Describe considerations for report execution. Exercise 4: Using Power View Use PowerPivot to analyze data. Using Excel for Data Reporting and Analysis After completing this module, students Use Power View to analyze data.

PowerPivot in Excel will be able to: Introduction to SharePoint Server as a BI

Power View in Excel Use Excel to analyze data. Platform

Lab : Designing an Excel Reporting Solution Use PowerPivot to analyze data. Planning Security for a SharePoint Server Exercise 1: Planning Excel Features Use Power View to analyze data. BI Solution

Exercise 2: Analyzing a Cube with Excel Introduction to SharePoint Server as a BI Planning Reporting Services Configuration

Exercise 3: Using PowerPivot Platform Planning PowerPivot Configuration

Exercise 4: Using Power View Planning Security for a SharePoint Server Planning for PerformancePoint Services

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be able to: Planning Reporting Services Solution

Use Excel to analyze data. Configuration Exercise 1: Planning SharePoint Server

Use PowerPivot to analyze data. Planning PowerPivot Configuration Security

Use Power View to analyze data. Planning for PerformancePoint Services Exercise 2: Configuring Reporting Services Introduction to SharePoint Server as a BI Lab : Planning a SharePoint Server BI in SharePoint Server

Platform Solution Exercise 3: Managing PowerPivot Data

Planning Security for a SharePoint Server BI Exercise 1: Planning SharePoint Server Refresh

Solution Security Exercise 4: Reviewing PowerPivot Activity

Planning Reporting Services Configuration Exercise 2: Configuring Reporting Exercise 5 (Optional) Creating a

Planning PowerPivot Configuration Services in SharePoint Server PerformancePoint Dashboard

Planning for PerformancePoint Services Exercise 3: Managing PowerPivot Data After completing this module, students will

Lab : Planning a SharePoint Server BI Refresh be able to:

Solution Exercise 4: Reviewing PowerPivot Describe key considerations for using

Exercise 1: Planning SharePoint Server Activity SharePoint for BI

Security Exercise 5 (Optional) Creating a Describe key considerations for security

Exercise 2: Configuring Reporting Services PerformancePoint Dashboard when using SharePoint for BI

in SharePoint Server After completing this module, students Plan the deployment and configuration of

Exercise 3: Managing PowerPivot Data will be able to: Reporting Services in SharePoint

Refresh Describe key considerations for using Integration Mode

Exercise 4: Reviewing PowerPivot Activity SharePoint for BI Plan the deployment and configuration of

Exercise 5 (Optional) Creating a Describe key considerations for security PowerPivot

PerformancePoint Dashboard when using SharePoint for BI Plan PerformancePoint Services in a

After completing this module, students will Plan the deployment and configuration of SharePoint site

be able to: Reporting Services in SharePoint

Describe key considerations for using Integration Mode Module 8: Designing an Excel-Based

SharePoint for BI Plan the deployment and configuration of Reporting Solution

Describe key considerations for security PowerPivot line

when using SharePoint for BI Plan PerformancePoint Services in a

Plan the deployment and configuration of SharePoint site This module explains how to design a

Reporting Services in SharePoint Integration reporting solution that uses Excel.

Mode Module 5: Designing Analytical Data line

Plan the deployment and configuration of Models

PowerPivot line Lessons

Plan PerformancePoint Services in a line

SharePoint site This module explains how to design analytical Planning a Data Warehouse Infrastructure data models for specific BI scenarios. Planning an ETL Infrastructure

Module 3: Designing a Data Warehouse line Planning Analysis Services Infrastructure

line Planning Reporting Services Infrastructure

Lessons Lab : Planning a BI Infrastructure

This module explain how to design a data line Exercise 1: Determining Required Servers

warehouse for a given set of user Planning a Data Warehouse Exercise 2: Determining Data Warehouse

requirements. Infrastructure Server Hardware Requirements

line Planning an ETL Infrastructure Exercise 3: Reviewing a Suggested

Planning Analysis Services Infrastructure Solution

Lessons Planning Reporting Services After completing this module, students will

line Infrastructure be able to:

Planning a Data Warehouse Infrastructure Lab : Planning a BI Infrastructure Plan a data warehouse infrastructure Planning an ETL Infrastructure Exercise 1: Determining Required Plan an ETL infrastructure

Planning Analysis Services Infrastructure Servers Plan Analysis Services infrastructure

Planning Reporting Services Infrastructure Exercise 2: Determining Data Warehouse Plan Reporting Services infrastructure

Lab : Planning a BI Infrastructure Server Hardware Requirements Designing a Logical Schema

Exercise 1: Determining Required Servers Exercise 3: Reviewing a Suggested Designing a Physical Schema Lab :

Exercise 2: Determining Data Warehouse Solution Designing a Data Warehouse Logical

Server Hardware Requirements After completing this module, students Schema

Exercise 3: Reviewing a Suggested Solution will be able to: Exercise 1: Identifying Required

After completing this module, students will Plan a data warehouse infrastructure Dimensions

be able to: Plan an ETL infrastructure Exercise 2: Identifying Measures and

Plan a data warehouse infrastructure Plan Analysis Services infrastructure Hierarchies

Plan an ETL infrastructure Plan Reporting Services infrastructure Exercise 3: Designing a Data Warehouse

Plan Analysis Services infrastructure Designing a Logical Schema Schema

Plan Reporting Services infrastructure Designing a Physical Schema Lab : Exercise 4: Reviewing a Suggested

Designing a Logical Schema Designing a Data Warehouse Logical Solution

Designing a Physical Schema Lab : Schema Lab : Designing a Data Warehouse

Designing a Data Warehouse Logical Exercise 1: Identifying Required Physical Schema

Schema Dimensions Exercise 1: Planning Database Storage

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Exercise 2: Identifying Measures and Hierarchies Exercise 3: Designing Indexes

Hierarchies Exercise 3: Designing a Data Warehouse Exercise 4: Reviewing a Suggested

Exercise 3: Designing a Data Warehouse Schema Solution

Schema Exercise 4: Reviewing a Suggested After completing this module, students will

Exercise 4: Reviewing a Suggested Solution Solution be able to:

Lab : Designing a Data Warehouse Physical Lab : Designing a Data Warehouse Select a data modeling approach.

Schema Physical Schema Design a physical data warehouse schema

Exercise 1: Planning Database Storage Exercise 1: Planning Database Storage Planning for Data Extraction Exercise 2: Designing Partitioning Exercise 2: Designing Partitioning Planning for Data Transformation

Exercise 3: Designing Indexes Exercise 3: Designing Indexes Planning for Data Loading

Exercise 4: Reviewing a Suggested Solution Exercise 4: Reviewing a Suggested Planning for SSIS Package Deployment

After completing this module, students will Solution Lab : Designing an ETL Solution

be able to: After completing this module, students Exercise 1: Reviewing Data Sources

Select a data modeling approach. will be able to: Exercise 2: Creating Source-to-Target

Design a physical data warehouse schema Select a data modeling approach. Maps

Planning for Data Extraction Design a physical data warehouse Exercise 3: Planning ETL Processes

Planning for Data Transformation schema Exercise 4: Reviewing a Suggested

Planning for Data Loading Planning for Data Extraction Solution

Planning for SSIS Package Deployment Planning for Data Transformation After completing this module, students will

Lab : Designing an ETL Solution Planning for Data Loading be able to:

Exercise 1: Reviewing Data Sources Planning for SSIS Package Deployment Plan data extraction in an ETL solution. Exercise 2: Creating Source-to-Target Maps Lab : Designing an ETL Solution Plan data transformation in an ETL Exercise 3: Planning ETL Processes Exercise 1: Reviewing Data Sources solution.

Exercise 4: Reviewing a Suggested Solution Exercise 2: Creating Source-to-Target Plan data loading in an ETL solution.

After completing this module, students will Maps Plan SSIS package deployment

be able to: Exercise 3: Planning ETL Processes Options for Analytical Models Data Model

Plan data extraction in an ETL solution. Exercise 4: Reviewing a Suggested Design Considerations

Plan data transformation in an ETL solution. Solution Lab : Comparing Analytical Data Models

Plan data loading in an ETL solution. After completing this module, students Exercise 1: Creating a Multidimensional

Plan SSIS package deployment will be able to: Model

Options for Analytical Models Data Model Plan data extraction in an ETL solution. Exercise 2: Creating a Tabular Model

Design Considerations Plan data transformation in an ETL Lab : Designing Data Models

Lab : Comparing Analytical Data Models solution. Exercise 1: Designing Dimension

Exercise 1: Creating a Multidimensional Plan data loading in an ETL solution. Attributes

Model Plan SSIS package deployment Exercise 2: Designing Data Model

Exercise 2: Creating a Tabular Model Options for Analytical Models Data Model Aggregations and Storage

Lab : Designing Data Models Design Considerations Exercise 3: Reviewing a Suggested

Exercise 1: Designing Dimension Attributes Lab : Comparing Analytical Data Models Solution

Exercise 2: Designing Data Model Exercise 1: Creating a Multidimensional After completing this module, students will

Aggregations and Storage Model be able to:

Exercise 3: Reviewing a Suggested Solution Exercise 2: Creating a Tabular Model Describe options for analytical models. After completing this module, students will Lab : Designing Data Models Describe considerations for cube design.

be able to: Exercise 1: Designing Dimension Considerations for BI Delivery Choosing a

Describe options for analytical models. Attributes Delivery Approach

Describe considerations for cube design. Exercise 2: Designing Data Model Lab : Planning a BI Delivery Solution Considerations for BI Delivery Choosing a Aggregations and Storage Exercise 1: Assessing Reporting

Delivery Approach Exercise 3: Reviewing a Suggested Requirements

Lab : Planning a BI Delivery Solution Solution After completing this module, students will

Exercise 1: Assessing Reporting After completing this module, students be able to:

Requirements will be able to: Describe considerations for planning a BI

After completing this module, students will Describe options for analytical models. delivery solution.

be able to: Describe considerations for cube design. Choose an appropriate technique for a

Describe considerations for planning a BI Considerations for BI Delivery Choosing given scenario.

delivery solution. a Delivery Approach Designing Reports

Choose an appropriate technique for a given Lab : Planning a BI Delivery Solution Considerations for Report Execution

scenario. Exercise 1: Assessing Reporting Planning a Reporting Solution

Designing Reports Requirements Lab : Designing a Reporting Services

Considerations for Report Execution After completing this module, students Solution

Planning a Reporting Solution will be able to: Exercise 1: Planning a Reporting Services

Lab : Designing a Reporting Services Describe considerations for planning a BI Solution

Solution delivery solution. Exercise 2: Planning a Report Delivery

Exercise 1: Planning a Reporting Services Choose an appropriate technique for a Environment

Solution given scenario. Exercise 3: Configuring Report Execution

Exercise 2: Planning a Report Delivery Designing Reports After completing this module, students will

Environment Considerations for Report Execution be able to:

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After completing this module, students will Lab : Designing a Reporting Services Describe considerations for report data.

be able to: Solution Describe considerations for report

Plan a reporting solution. Exercise 1: Planning a Reporting execution.

Describe considerations for report data. Services Solution Using Excel for Data Reporting and

Describe considerations for report execution. Exercise 2: Planning a Report Delivery Analysis

Using Excel for Data Reporting and Analysis Environment PowerPivot in Excel

PowerPivot in Excel Exercise 3: Configuring Report Execution Power View in Excel

Power View in Excel After completing this module, students Lab : Designing an Excel Reporting

Lab : Designing an Excel Reporting Solution will be able to: Solution

Exercise 1: Planning Excel Features Plan a reporting solution. Exercise 1: Planning Excel Features Exercise 2: Analyzing a Cube with Excel Describe considerations for report data. Exercise 2: Analyzing a Cube with Excel

Exercise 3: Using PowerPivot Describe considerations for report Exercise 3: Using PowerPivot

Exercise 4: Using Power View execution. Exercise 4: Using Power View

After completing this module, students will Using Excel for Data Reporting and After completing this module, students will

be able to: Analysis be able to:

Use Excel to analyze data. PowerPivot in Excel Use Excel to analyze data.

Use PowerPivot to analyze data. Power View in Excel Use PowerPivot to analyze data.

Use Power View to analyze data. Lab : Designing an Excel Reporting Use Power View to analyze data.

Introduction to SharePoint Server as a BI Solution Introduction to SharePoint Server as a BI

Platform Exercise 1: Planning Excel Features Platform

Planning Security for a SharePoint Server BI Exercise 2: Analyzing a Cube with Excel Planning Security for a SharePoint Server

Solution Exercise 3: Using PowerPivot BI Solution

Planning Reporting Services Configuration Exercise 4: Using Power View Planning Reporting Services Configuration Planning PowerPivot Configuration After completing this module, students Planning PowerPivot Configuration

Planning for PerformancePoint Services will be able to: Planning for PerformancePoint Services

Lab : Planning a SharePoint Server BI Use Excel to analyze data. Lab : Planning a SharePoint Server BI

Solution Use PowerPivot to analyze data. Solution

Exercise 1: Planning SharePoint Server Use Power View to analyze data. Exercise 1: Planning SharePoint Server

Security Introduction to SharePoint Server as a BI Security

Exercise 2: Configuring Reporting Services Platform Exercise 2: Configuring Reporting Services

in SharePoint Server Planning Security for a SharePoint Server in SharePoint Server

Exercise 3: Managing PowerPivot Data BI Solution Exercise 3: Managing PowerPivot Data

Refresh Planning Reporting Services Refresh

Exercise 4: Reviewing PowerPivot Activity Configuration Exercise 4: Reviewing PowerPivot Activity

Exercise 5 (Optional) Creating a Planning PowerPivot Configuration Exercise 5 (Optional) Creating a

PerformancePoint Dashboard Planning for PerformancePoint Services PerformancePoint Dashboard

After completing this module, students will Lab : Planning a SharePoint Server BI After completing this module, students will

be able to: Solution be able to:

Describe key considerations for using Exercise 1: Planning SharePoint Server Describe key considerations for using

SharePoint for BI Security SharePoint for BI

Describe key considerations for security Exercise 2: Configuring Reporting Describe key considerations for security

when using SharePoint for BI Services in SharePoint Server when using SharePoint for BI

Plan the deployment and configuration of Exercise 3: Managing PowerPivot Data Plan the deployment and configuration of

Reporting Services in SharePoint Integration Refresh Reporting Services in SharePoint

Mode Exercise 4: Reviewing PowerPivot Integration Mode

Plan the deployment and configuration of Activity Plan the deployment and configuration of

PowerPivot Exercise 5 (Optional) Creating a PowerPivot

Plan PerformancePoint Services in a PerformancePoint Dashboard Plan PerformancePoint Services in a

SharePoint site After completing this module, students SharePoint site

will be able to:

Module 4: Designing an ETL Solution Describe key considerations for using Module 9: Planning a SharePoint Server BI

line SharePoint for BI Solution

Describe key considerations for security line

when using SharePoint for BI

Plan the deployment and configuration of This module explains how to design a Reporting Services in SharePoint SharePoint BI solution.

Integration Mode line

Plan the deployment and configuration of

PowerPivot Lessons

Plan PerformancePoint Services in a line

SharePoint site Planning a Data Warehouse Infrastructure

Planning an ETL Infrastructure

Module 6: Planning a BI Delivery Solution Planning Analysis Services Infrastructure

line Planning Reporting Services Infrastructure

Lab : Planning a BI Infrastructure This module explains how to choose an Exercise 1: Determining Required Servers

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appropriate delivery solution for a given Exercise 2: Determining Data Warehouse

scenario. Server Hardware Requirements

line Exercise 3: Reviewing a Suggested

Solution

Lessons After completing this module, students will

line be able to:

Planning a Data Warehouse Plan a data warehouse infrastructure

Infrastructure Plan an ETL infrastructure

Planning an ETL Infrastructure Plan Analysis Services infrastructure Planning Analysis Services Infrastructure Plan Reporting Services infrastructure

Planning Reporting Services Designing a Logical Schema

Infrastructure Designing a Physical Schema Lab :

Lab : Planning a BI Infrastructure Designing a Data Warehouse Logical

Exercise 1: Determining Required Schema

Servers Exercise 1: Identifying Required

Exercise 2: Determining Data Warehouse Dimensions

Server Hardware Requirements Exercise 2: Identifying Measures and Exercise 3: Reviewing a Suggested Hierarchies

Solution Exercise 3: Designing a Data Warehouse

After completing this module, students Schema

will be able to: Exercise 4: Reviewing a Suggested

Plan a data warehouse infrastructure Solution

Plan an ETL infrastructure Lab : Designing a Data Warehouse

Plan Analysis Services infrastructure Physical Schema

Plan Reporting Services infrastructure Exercise 1: Planning Database Storage Designing a Logical Schema Exercise 2: Designing Partitioning Designing a Physical Schema Lab : Exercise 3: Designing Indexes Designing a Data Warehouse Logical Exercise 4: Reviewing a Suggested

Schema Solution

Exercise 1: Identifying Required After completing this module, students will

Dimensions be able to:

Exercise 2: Identifying Measures and Select a data modeling approach.

Hierarchies Design a physical data warehouse schema

Exercise 3: Designing a Data Warehouse Planning for Data Extraction

Schema Planning for Data Transformation

Exercise 4: Reviewing a Suggested Planning for Data Loading

Solution Planning for SSIS Package Deployment

Lab : Designing a Data Warehouse Lab : Designing an ETL Solution

Physical Schema Exercise 1: Reviewing Data Sources

Exercise 1: Planning Database Storage Exercise 2: Creating Source-to-Target Exercise 2: Designing Partitioning Maps

Exercise 3: Designing Indexes Exercise 3: Planning ETL Processes Exercise 4: Reviewing a Suggested Exercise 4: Reviewing a Suggested

Solution Solution

After completing this module, students After completing this module, students will

will be able to: be able to:

Select a data modeling approach. Plan data extraction in an ETL solution. Design a physical data warehouse Plan data transformation in an ETL

schema solution.

Planning for Data Extraction Plan data loading in an ETL solution. Planning for Data Transformation Plan SSIS package deployment

Planning for Data Loading Options for Analytical Models Data Model Planning for SSIS Package Deployment Design Considerations

Lab : Designing an ETL Solution Lab : Comparing Analytical Data Models Exercise 1: Reviewing Data Sources Exercise 1: Creating a Multidimensional Exercise 2: Creating Source-to-Target Model

Maps Exercise 2: Creating a Tabular Model

Exercise 3: Planning ETL Processes Lab : Designing Data Models Exercise 4: Reviewing a Suggested Exercise 1: Designing Dimension

Solution Attributes

After completing this module, students Exercise 2: Designing Data Model

will be able to: Aggregations and Storage

Plan data extraction in an ETL solution. Exercise 3: Reviewing a Suggested Plan data transformation in an ETL Solution

solution. After completing this module, students will

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Plan SSIS package deployment Describe options for analytical models. Options for Analytical Models Data Model Describe considerations for cube design.

Design Considerations Considerations for BI Delivery Choosing a

Lab : Comparing Analytical Data Models Delivery Approach

Exercise 1: Creating a Multidimensional Lab : Planning a BI Delivery Solution

Model Exercise 1: Assessing Reporting

Exercise 2: Creating a Tabular Model Requirements

Lab : Designing Data Models After completing this module, students will Exercise 1: Designing Dimension be able to:

Attributes Describe considerations for planning a BI

Exercise 2: Designing Data Model delivery solution.

Aggregations and Storage Choose an appropriate technique for a

Exercise 3: Reviewing a Suggested given scenario.

Solution Designing Reports

After completing this module, students Considerations for Report Execution

will be able to: Planning a Reporting Solution

Describe options for analytical models. Lab : Designing a Reporting Services Describe considerations for cube design. Solution

Considerations for BI Delivery Choosing Exercise 1: Planning a Reporting Services

a Delivery Approach Solution

Lab : Planning a BI Delivery Solution Exercise 2: Planning a Report Delivery

Exercise 1: Assessing Reporting Environment

Requirements Exercise 3: Configuring Report Execution

After completing this module, students After completing this module, students will

will be able to: be able to:

Describe considerations for planning a BI Plan a reporting solution.

delivery solution. Describe considerations for report data.

Choose an appropriate technique for a Describe considerations for report

given scenario. execution.

Designing Reports Using Excel for Data Reporting and

Considerations for Report Execution Analysis

Planning a Reporting Solution PowerPivot in Excel

Lab : Designing a Reporting Services Power View in Excel

Solution Lab : Designing an Excel Reporting

Exercise 1: Planning a Reporting Solution

Services Solution Exercise 1: Planning Excel Features

Exercise 2: Planning a Report Delivery Exercise 2: Analyzing a Cube with Excel

Environment Exercise 3: Using PowerPivot

Exercise 3: Configuring Report Execution Exercise 4: Using Power View

After completing this module, students After completing this module, students will

will be able to: be able to:

Plan a reporting solution. Use Excel to analyze data.

Describe considerations for report data. Use PowerPivot to analyze data. Describe considerations for report Use Power View to analyze data.

execution. Introduction to SharePoint Server as a BI

Using Excel for Data Reporting and Platform

Analysis Planning Security for a SharePoint Server

PowerPivot in Excel BI Solution

Power View in Excel Planning Reporting Services Configuration

Lab : Designing an Excel Reporting Planning PowerPivot Configuration

Solution Planning for PerformancePoint Services

Exercise 1: Planning Excel Features Lab : Planning a SharePoint Server BI Exercise 2: Analyzing a Cube with Excel Solution

Exercise 3: Using PowerPivot Exercise 1: Planning SharePoint Server

Exercise 4: Using Power View Security

After completing this module, students Exercise 2: Configuring Reporting Services

will be able to: in SharePoint Server

Use Excel to analyze data. Exercise 3: Managing PowerPivot Data

Use PowerPivot to analyze data. Refresh

Use Power View to analyze data. Exercise 4: Reviewing PowerPivot Activity Introduction to SharePoint Server as a BI Exercise 5 (Optional) Creating a

Platform PerformancePoint Dashboard

Planning Security for a SharePoint Server After completing this module, students will

BI Solution be able to:

Planning Reporting Services Describe key considerations for using

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Planning PowerPivot Configuration Describe key considerations for security Planning for PerformancePoint Services when using SharePoint for BI

Lab : Planning a SharePoint Server BI Plan the deployment and configuration of

Solution Reporting Services in SharePoint

Exercise 1: Planning SharePoint Server Integration Mode

Security Plan the deployment and configuration of

Exercise 2: Configuring Reporting PowerPivot

Services in SharePoint Server Plan PerformancePoint Services in a Exercise 3: Managing PowerPivot Data SharePoint site

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 7: Designing a Reporting Services Solution

line

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