After completing this course, participants will be able to:

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Adele Caroline Gallagher
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Designing a Business Intelligence Solution by Using Microsoft SQL Server 2008 T h i s f i v e - d a y i n s t r u c t o r - l e d c o u r s e p r o v i d e s i n - d e p t h k n o w l e d g e o n d e

Who Should Attend: Course Objectives: T h e p r i m a r y a u d i e n c e f o r t h i s c o u r s e i s d e velopers w h o h a ve 4-5 y e a r s BI e x p e r i e n c e w i t h a n u n d e r s t a n d

1 Designing a Business Intelligence Solution by Using Microsoft SQL Server 2008 T h i s f i v e - d a y i n s t r u c t o r - l e d c o u r s e p r o v i d e s i n - d e p t h k n o w l e d g e o n d e s i g n i n g a B u s i n e s s I n t e l l i g e n c e s o l u t i o n b y u s i n g M i c r o s o f t S Q L S e r v e r Who Should Attend: Course Objectives: T h e p r i m a r y a u d i e n c e f o r t h i s c o u r s e i s d e velopers w h o h a ve 4-5 y e a r s BI e x p e r i e n c e w i t h a n u n d e r s t a n d i n g o f u s i n g S Q L S e r v e r B I t o o l s t o i m p l e m e n t a BI i n f r a s t r u c t u r e a n d s o l u t i o n. T h e t a r g e t a u d i e n c e a l s o i n c l u d e s B I d e v e l o p e r s w i t h e x p e r i e n c e i n u s i n g S Q L S e r ver B I f e a t u r e s a n d t o o l s, a n d w h o w a n t t o o b t a i n a p r o f e s s i o n a l c e r t i f i c a t i o n i n B I d e v e l o p m e n t a n d d e s i g n. A l s o I T p r o f e s s i o n a l s, a n d B u s i n e s s A n a l y s t s w h o s p e c i a l i s e i n t h e a r e a o f B I. After completing this course, participants will be able to: Design a Business Intelligence (BI) architecture in SQL Server 2008 Design a strategy for implementing the extract, transform, load (ETL) process by using SQL Server 2008 Integration Services (SSIS) Design a strategy for managing packages by using SSIS Design an online analytical processing (OLAP) solution architecture by using SQL Server 2008 Analysis Services (SSAS) Design a physical storage for an OLAP solution by using SSAS Design an administration & maintenance strategy for an SSAS solution Design effective queries for an OLAP solution by using SSAS Design and develop a SQL Server 2008 Reporting Services (SSRS) solution architecture Design a strategy for deploying and managing an SSRS solution architecture Design data mining solutions by using SQL Server 2008 Course Code: Course Duration: 5 Days Course Summary Module 1: Designing a Business Intelligence Architecture in Microsoft SQL Server 2008 Module 2: Designing a Strategy for Implementing ETL by Using SSIS Module 3: Designing a Strategy for Managing Packages by Using SSIS Module 4: Designing an OLAP Solution Architecture by Module 5: Designing Physical Storage for an OLAP Solution by Module 6: Designing an Administration and Maintenance Module 7: Designing Effective Queries for an OLAP Solution by Module 8: Designing and Developing a SSRS Solution Architecture Module 9: Designing a Strategy for Deploying and Managing a SSRS Solution Architecture Module 10: Designing SQL Server Data Mining Solutions

2 Course Prerequisites: Before attending this course, participants should have: Knowledge of data warehousing, data marts, and industry-accepted Business Intelligence (BI) methodologies Conceptual understanding of SQL Server 2005 and SQL Server 2008 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: Microsoft SQL Server BI Development Studio Microsoft SQL Server Management Studio Report Builder and Report Manager Source Code Control (SCC) product Possible experience in using the following tools: Microsoft Office Visio System Monitor

Course Outline Module 1: Designing a Business Intelligence Architecture in Microsoft SQL Server 2008 This module explains basic BI concepts to the participant and provides the framework to start

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.

3 Course Outline Module 1: Designing a Business Intelligence Architecture in Microsoft SQL Server 2008 This module explains basic BI concepts to the participant 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 solution. Overview of BI Concepts Planning BI Solutions Planning the Development of a BI Solution Determining BI Requirements Determining Architectural Requirements of a BI Solution Planning the Microsoft BI Environment Overview of BI Operations Management Lab: Data Designing a Business Intelligence Architecture in Microsoft SQL Server 2008 Determining Business Requirements for a BI Solution Designing the Architecture for a BI Solution Creating a Test Environment for a BI Solution Module 2: Designing a Strategy for Implementing ETL by Using SSIS This module introduces you to designing extract, transform, and load (ETL) packages by using SQL Server 2008 Integration Services (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. Planning Data Sources and Destinations Determining Staging Requirements Planning SSIS Packages Planning the Development of SSIS Packages Designing Data Flow Planning Data Flow Operations Extending SSIS Packages with Scripts Module 2 Lab: Database Architecture Designing Data Flow Logic Implementing Control and Data Flow Modifying the Package to Work with Incremental Loads Determining a Strategy for Scrubbing Data Module 3: Designing a Strategy for Managing Packages by Using SSIS 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. Designing a Strategy for Logging ETL Operations Designing a Strategy for Managing Errors Designing and Implementing Reliable ETL Processes Designing a Strategy for Deploying and Maintaining SSIS Packages Designing a Strategy for Optimizing an SSIS Solution Lab: Designing a Strategy for Managing Packages by Using SSIS Designing a Package Management Strategy Implementing Package Configurations Implementing an Error-Handling Strategy Implementing a Logging Strategy Implementing Reliability by Using Transactions Module 4: Designing an OLAP Solution Architecture by This module explains what an OLAP solution is and helps to gather requirements for the solution. 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 an OLAP solution architecture.

4 Module 4: Designing an OLAP Solution Architecture by Overview of an OLAP Solution Gathering Requirements for an OLAP Solution Designing a Logical OLAP Solution Architecture Designing Dimensions Designing Dimension Relationships Considerations for Implementing Cubes, KPIs, and Actions Global Considerations for an SSAS Solution Lab: Designing an OLAP Solution Architecture by Using SSAS Designing an OLAP Solution Implementing the Data Source View Implementing Dimensions Creating a Cube Module 5: Designing Physical Storage for an OLAP Solution by 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. Designing and Implementing Physical Storage for Dimensions Designing and Implementing a Partitioning Strategy for Relational Data Designing a Partitioning Strategy for Multidimensional Data Designing Aggregations Lab: Designing Physical Storage for an OLAP Solution by Designing a Partitioning Strategy Implementing Partitions Implementing Proactive Caching Improving Query Performance by Creating Aggregations Module 6: Designing an Administration and Maintenance This module covers how to administer and maintain an OLAP solution. The module also covers the considerations for implementing scalability, availability, security, and monitoring for an OLAP solution. Module 6: Designing an Administration and Maintenance Determining SSAS Resource Requirements Considerations for Providing SSAS Scalability Considerations for Providing SSAS Availability Planning and Implementing a Deployment Strategy for an SSAS Solution Designing a Strategy for Monitoring an SSAS Solution Securing an SSAS Solution Designing a Strategy for Optimizing the Performance of SSAS Lab: Designing an Administration and Maintenance 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 Module 7: Designing Effective Queries for an OLAP Solution by This module covers how to design effective MDX queries for an OLAP solution. 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. Designing Business Driven Calculations by Using MDX Working with MDX Queries Exploring MDX Query Context and Execution Optimizing MDX Queries Extending Multidimensional Expressions Lab: Designing Effective Queries for an OLAP Solution by Designing an OLAP Solution Defining Scoped Assignments Using MDX Scripts Monitoring and Optimizing queries

5 Module 8: Designing and Developing a SSRS Solution Architecture This module provides information to design a reporting solution by using SSRS. Analyzing the Business Requirements for a Reporting Solution Planning the Architecture for an SSRS Solution Designing a Data Acquisition Strategy Planning a Reporting Solution Designing Report Models Extending Reporting with Custom Code Lab: Designing and Developing a SSRS Solution Architecture Designing Report Layout Creating Report Layout Making Reports Interactive Extending Reports Using Custom Components Module 9: Designing a Strategy for Deploying and Managing a SSRS Solution Architecture This module covers deployment and management strategies for SSRS. Planning the Integration of Reports with Applications Planning Security for a Reporting Solution Planning Reports Distribution Designing a Strategy for Managing Report Execution Designing a Strategy for Optimizing Report Performance Planning the Administration of SSRS Use SQL Server Integration Services (SSIS) to import data from a business partner s flat file Module 9 Lab: Designing a Strategy for Deploying and Managing a SSRS Solution Architecture Designing a Report Management Strategy Deploying Reports Monitoring Reports Module 10: Designing Data Mining Solutions by Using Microsoft SQL Server 2008 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. Fundamentals of Data Mining Designing a Mining Model and Structure Designing Strategies for Staging Data Visualizing Data Mining Results Testing Mining Models Lab: Designing Data Mining Solutions by Using Microsoft SQL Server 2008 Designing a Mining Model Creating a Mining Model Exploring and Testing Mining Models Running Prediction Queries

COURSE 20466D: IMPLEMENTING DATA MODELS AND REPORTS WITH MICROSOFT SQL SERVER

COURSE 20466D: IMPLEMENTING DATA MODELS AND REPORTS WITH MICROSOFT SQL SERVER ABOUT THIS COURSE The focus of this five-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement multidimensional and tabular data models, deliver reports