"Charting the Course to Your Success!" MOC Designing a Business Intelligence Solution by Using Microsoft SQL Server 2008.

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1 Description Course Summary This course provides in-depth knowledge on designing a Business Intelligence solution by using Microsoft SQL Server Objectives At the end of this course, students will be Topics Audience Design Business Intelligence (BI) architecture in. Design a strategy for implementing the extract, transform, load (ETL) process by using Integration (SSIS). Design a strategy for managing packages by using SSIS. Design an online analytical processing (OLAP) solution architecture by using Analysis (SSAS). Design a physical storage for an OLAP solution by using SSAS. Design an administration and maintenance strategy for an SSAS Design effective queries for an OLAP solution by using SSAS. Design and develop Reporting (SSRS) solution architecture. Design a strategy for deploying and managing SSRS solution architecture. Design data mining solutions by using. Designing a Business Intelligence Architecture in Microsoft Designing a Strategy for Implementing ETL by Using Microsoft Integration Designing a Strategy for Managing Packages by Using Microsoft Integration Designing an OLAP Architecture by Using Microsoft Analysis Designing Physical Storage for an OLAP by Using Microsoft Analysis Designing an Administration and Maintenance Strategy for a Microsoft Analysis Designing Effective Queries for an OLAP by Using Microsoft Analysis Designing and Developing a Microsoft Reporting Architecture Designing a Strategy for Deploying and Managing a Microsoft Reporting Architecture Designing Data Mining s by Using Microsoft The primary audience for this course is developers who have knowledge of Business Intelligence (BI) concepts, with an experience of 4-5 years in BI. The audience has an understanding of how to use SQL Server 2005 BI tools to implement a BI infrastructure and However, the audience needs to develop an understanding of design principles and best practices when designing a BI The target audience also includes BI developers with experience in using BI features and tools, and who want to obtain a professional certification in BI development and design.

2 Course Summary (cont d) The secondary audience for this course is information technology (IT) professionals, and Business Analysts who specialize in the area of BI. Prerequisites Before attending this course, students must have: Duration Five days Knowledge of data warehousing, data marts, and industry-accepted Business Intelligence (BI) methodologies Conceptual understanding of SQL Server 2005 and components, such as online analytical processing (OLAP), extract, transform, load (ETL), and reporting tools and technologies Experience in developing and implementing cubes at the physical level Experience in working with data transformations Experience in creating star and snowflake schemas at both conceptual and logical levels Experience in writing MDX for customization and querying Fundamental understanding of Microsoft Windows security, such as how groups, delegation of credentials, and impersonation function in a security context Fundamental understanding of Web-based architecture Experience in using the following tools: o Microsoft SQL Server BI Development Studio o Microsoft SQL Server Management Studio o Report Builder and Report Manager o Source Code Control (SCC) product Possible experience in using the following tools: o Microsoft Office Visio o System Monitor

3 Course Outline I. Designing a Business Intelligence Architecture in Microsoft This module explains basic BI concepts to the student and provides the framework to start planning and designing for a BI infrastructure. This includes getting to know the various BI methodologies, Microsoft s BI vision, common terminologies used in a BI environment, and gathering system and organizational requirements. The module also introduces the various Microsoft BI tools available, which can be used both in the front-end and backend of a BI A. Overview of BI Concepts B. Planning BI s C. Planning the Development of a BI D. Determining BI Requirements E. Determining Architectural Requirements of a BI F. Planning the Microsoft BI Environment G. Overview of BI Operations Management Lab: Designing a Business Intelligence Architecture in Microsoft Determining Business Requirements for a BI Designing the Architecture for a BI Creating a Test Environment for a BI Describe BI concepts. Plan a BI Plan the development of a BI Determine BI requirements. Determine architectural requirements of a BI Plan the Microsoft BI environment. Describe the overview of BI operations management. II. Designing a Strategy for Implementing ETL by Using Microsoft Integration This module introduces you to designing extract, transform, and load (ETL) packages by using SQL Server 2008 Integration (SSIS). This module covers information on how to create an ETL package to extract source data from multiple heterogeneous systems, apply transformations to the ETL package, and load it in data marts or data warehouses. A. Planning Data Sources and Destinations B. Determining Staging Requirements C. Planning SSIS Packages D. Planning the Development of SSIS Packages E. Designing Data Flow F. Planning Data Flow Operations G. Extending SSIS Packages with Scripts Lab: Designing a Strategy for Implementing ETL by Using Microsoft Integration Designing Data Flow Logic Implementing Control and Data Flow Modifying the Package to Work with Incremental Loads Determining a Strategy for Scrubbing Data Plan data sources and destinations. Determine staging requirements. Plan SSIS packages. Plan the development of SSIS packages. Design data flow. Plan data flow operations. Extend SSIS packages with scripts.

4 III. Designing a Strategy for Managing Packages by Using Microsoft Integration This module describes how to design a management and deployment strategy for packages. Once a data warehouse has been created by using an ETL package, the next step is to build an OLAP database and OLAP cubes to aggregate the data. A. Designing a Strategy for Logging ETL Operations B. Designing a Strategy for Managing Errors C. Designing and Implementing Reliable ETL Processes D. Designing a Strategy for Deploying and Maintaining SSIS Packages E. Designing a Strategy for Optimizing an SSIS Lab: Designing a Strategy for Managing Packages by Using Microsoft Integration Designing a Package Management Strategy Implementing Package Configurations Implementing an Error-Handling Strategy Implementing a Logging Strategy Implementing Reliability by Using Transactions Design a strategy for logging ETL operations. Design a strategy for managing errors. Design and implementing reliable ETL processes. Design a strategy for deploying and maintaining SSIS packages. Design a strategy for optimizing an SSIS IV. Designing an OLAP Architecture by Using Microsoft Analysis This module explains what an OLAP solution is and helps to gather requirements for the This module also explains dimensions and dimension relationships. In addition, it also includes considerations for implementing cubes, KPIs, and actions, finally helping the student to design OLAP solution architecture. A. Overview of an OLAP B. Gathering Requirements for an OLAP C. Designing a Logical OLAP Architecture D. Designing Dimensions E. Designing Dimension Relationships F. Considerations for Implementing Cubes, KPIs, and Actions G. Global Considerations for an SSAS Lab: Designing an OLAP Architecture by Using Microsoft Analysis Designing an OLAP Implementing the Data Source View Implementing Dimensions Creating a Cube Describe an OLAP Gather requirements for an OLAP Design a logical OLAP solution architecture. Design dimensions. Design dimension relationships. Describe the considerations for implementing cubes, KPIs, and actions. Describe the global considerations for an SSAS

5 V. Designing Physical Storage for an OLAP by Using Microsoft Analysis This module covers the various aspects of designing and optimizing the physical storage of data in an OLAP solution and provides information on how to partition and design a storage strategy. A. Designing and Implementing Physical Storage for Dimensions B. Designing and Implementing a Partitioning Strategy for Relational Data C. Designing a Partitioning Strategy for Multidimensional Data D. Designing Aggregations Lab: Designing Physical Storage for an OLAP by Using Microsoft Analysis Designing a Partitioning Strategy Implementing Partitions Implementing Proactive Caching Improving Query Performance by Creating Aggregations Design and implementing physical storage for dimensions. Design and implementing a partitioning strategy for relational data. Design a partitioning strategy for multidimensional data. Design aggregations. VI. Designing an Administration and Maintenance Strategy for a Microsoft SQL Server 2008 Analysis This module covers how to administer and maintain an OLAP The module also covers the considerations for implementing scalability, availability, security, and monitoring for an OLAP A. Determining SSAS Resource Requirements B. Considerations for Providing SSAS Scalability C. Considerations for Providing SSAS Availability D. Planning and Implementing a Deployment Strategy for an SSAS E. Designing a Strategy for Monitoring an SSAS F. Securing an SSAS G. Designing a Strategy for Optimizing the Performance of SSAS Lab: Designing an Administration and Maintenance Strategy for a Microsoft SQL Server 2008 Analysis Designing a Monitoring Strategy for SSAS Implementing a Monitoring Strategy for SSAS Designing a Security Strategy for an SSAS Database Implementing a Security Strategy for an SSAS Database Determine SSAS resource requirements. Describe the considerations for providing SSAS scalability. Describe the considerations for providing SSAS availability. Plan and implement a deployment strategy for an SSAS Design a strategy formonitoring an SSAS Secure an SSAS Design a strategy for optimizing the performance of SSAS.

6 VII. Designing Effective Queries for an OLAP by Using Microsoft Analysis This module covers how to design effective MDX queries for an OLAP The module also covers identifying and resolving bottlenecks in MDX queries. The end result of most BI applications is to give insights to the end users about what is happening in business through reports. A. Designing Business Driven Calculations by Using MDX B. Working with MDX Queries C. Exploring MDX Query Context and Execution D. Optimizing MDX Queries E. Extending Multidimensional Expressions Lab: Designing Effective Queries for an OLAP by Using Microsoft Analysis Designing an OLAP Defining Scoped Assignments Using MDX Scripts Monitoring and Optimizing queries Design business driven calculations by using MDX. Work with MDX queries. Describe MDX query context and execution. Optimize MDX queries. Extend multidimensional expressions. VIII. Designing and Developing a Microsoft SQL Server 2008 Reporting Architecture This module provides information to design a reporting solution by using Reporting (SSRS). A. Analyzing the Business Requirements for a Reporting B. Planning the Architecture for an SSRS C. Designing a Data Acquisition Strategy D. Planning a Reporting E. Designing Report Models F. Extending Reporting with Custom Code Lab: Designing and Developing a Microsoft SQL Server 2008 Reporting Architecture Designing Report Layout Creating Report Layout Making Reports Interactive Extending Reports Using Custom Components Analyze the business requirements for a reporting Plan the architecture for an SSRS Design a data acquisition strategy. Plan a reporting Design report models. Extend reporting with custom code. IX. Designing a Strategy for Deploying and Managing a Microsoft Reporting Architecture This module covers deployment and management strategies for SSRS. A. Planning the Integration of Reports with Applications B. Planning Security for a Reporting C. Planning Reports Distribution D. Designing a Strategy for Managing Report Execution E. Designing a Strategy for Optimizing Report Performance F. Planning the Administration of SSRS

7 Lab: Designing a Strategy for Deploying and Managing a Microsoft Reporting Architecture Designing a Report Management Strategy Deploying Reports Monitoring Reports Plan the integration of reports with applications. Plan security for a reporting Plan reports distribution. Design a strategy for managing report execution. Design a strategy for optimizing report performance. Plan the administration of SSRS. Describe the fundamentals of data mining. Design a mining model and structure. Design strategies for staging data. Visualize data mining results. Test mining models. X. Designing Data Mining s by Using Microsoft This module includes creating and testing mining models and using them to run prediction queries. While reporting allows users to see what has already happened, data mining allows end users to predict what is likely to happen in the future. A. Fundamentals of Data Mining B. Designing a Mining Model and Structure C. Designing Strategies for Staging Data D. Visualizing Data Mining Results E. Testing Mining Models Lab: Designing Data Mining s by Using Microsoft Designing a Mining Model Creating a Mining Model Exploring and Testing Mining Models Running Prediction Queries