Developing SQL Data Models

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August McKenzie
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Developing SQL Data Models Duración: 3 Días Código del Curso: M20768 Temario: The focus of this 3-day instructor-led course is on creating managed enterprise BI solutions.

1 Developing SQL Data Models Duración: 3 Días Código del Curso: M20768 Temario: The focus of this 3-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups. This course helps you prepare for the Exam Dirigido a: The primary audience for this course are database professionals who need to fulfil BI Developer role to create enterprise BI solutions. Primary responsibilities will include: Implementing multidimensional databases by using SQL Server Analysis Services Creating tabular semantic data models for analysis by using SQL Server Analysis Services Objetivos: After completing this course, students will be Describe the components, architecture, and nature of a BI solution Create a multidimensional database with Analysis Services Implement dimensions in a cube Implement measures and measure groups in a cube Use MDX syntax Customize a cube Implement a tabular database Use DAX to query a tabular model Use data mining for predictive analysis Prerequisitos: Exámenes y certificación Before attending this course, students must have: Experience of querying data using Transact-SQL

2 Contenido: Module 1: After completing this module, you will be able This module describes how to customize a and Data Modeling to: cube. This module introduces key BI concepts and Configure dimensions. the Microsoft BI product suite. Define attribute hierarchies. The Microsoft business intelligence platform Implement sorting and grouping for attributes. The Microsoft business intelligence platform Views Implement slowly changing dimensions. Overview of Cube Security Views Configure SSAS Monitoring SSAS Overview of Cube Security Module 4: Working with Measures and Configure SSAS Measure Groups Defining Attribute Hierarchies Monitoring SSAS Sorting and Grouping Attributes Slowly Changing Dimensions Defining Attribute Hierarchies This module describes how to implement Working with Measures Sorting and Grouping Attributes measures and measure groups in a cube. Working with Measure Groups Slowly Changing Dimensions MDX fundamentals Working with Measures Adding Calculations to a Cube Working with Measure Groups Using MDX to Query a Cube MDX fundamentals Adding Calculations to a Cube The Implementing Key Performance Using MDX to Query a Cube The Microsoft business intelligence Indicators platform Implementing Actions The Implementing Key Performance Implementing Perspectives Indicators Implementing Translations Implementing Actions Views Introduction to Tabular Data Models Implementing Perspectives Creating a Tabular Data Model Implementing Translations Overview of Cube Security Using an Analysis Services Tabular Data Introduction to Tabular Data Models Configure SSAS Model in an Enterprise BI Solution Creating a Tabular Data Model Monitoring SSAS Overview of Data Mining Using an Analysis Services Tabular Data Creating a Custom Data Mining Solution Model in an Enterprise BI Solution Defining Attribute Hierarchies Validating a Data Mining Model Overview of Data Mining Sorting and Grouping Attributes Connecting to and Consuming a Creating a Custom Data Mining Solution Slowly Changing Dimensions Validating a Data Mining Model Working with Measures Using the Data Mining add-in for Excel Connecting to and Consuming a Working with Measure Groups MDX fundamentals Lab : Customizing a Cube Using the Data Mining add-in for Excel Adding Calculations to a Cube Using MDX to Query a Cube Implementing an action Lab : Exploring a BI Solution Implementing a perspective The Implementing Key Performance Implementing a translation Exploring a Data Warehouse Indicators Exploring a data model Implementing Actions After completing this module, you will be able Implementing Perspectives to: After completing this module, students will be Implementing Translations Introduction to Tabular Data Models Creating a Tabular Data Model Implement KPIs in a Multidimensional Describe BI scenarios, trends, and project Using an Analysis Services Tabular Data database roles. Model in an Enterprise BI Solution Overview of Data Mining Describe how to create a tabular data model Creating a Custom Data Mining Solution Implement Actions in a Multidimensional Use an Analysis Services Tabular Model in Validating a Data Mining Model database an enterprise BI solution Connecting to and Consuming a Create calculated columns and measures by Using the Data Mining add-in for Excel Implement perspectives in a Multidimensional using DAX database Describe considerations for data mining Lab : Configuring Measures and Measure Create a data mining model Groups

3 Validate a data mining model Implement translations in a Multidimensional Connect to a data-mining model Configuring Measures database Use the data mining add-in for Excel Defining Dimension Usage and Relationships Describe the products that make up the Configuring Measure Group Storage Module 7: Implementing a Tabular Data Microsoft BI platform. Model by Using Analysis Services After completing this module, you will be able to: Module 2: Creating Multidimensional This module describes how to implement a Databases tabular data model in Power Pivot. Configure measures. This module describes how to create multidimensional databases using SQL Server Configure measure groups. Analysis Services. The Microsoft business intelligence Module 5: Introduction to MDX platform This module describes the MDX syntax and Views The Microsoft business intelligence platform how to use MDX. Overview of Cube Security Configure SSAS Views Monitoring SSAS Overview of Cube Security Defining Attribute Hierarchies Configure SSAS The Microsoft business intelligence Sorting and Grouping Attributes Monitoring SSAS platform Slowly Changing Dimensions Working with Measures Defining Attribute Hierarchies Working with Measure Groups Sorting and Grouping Attributes Views MDX fundamentals Slowly Changing Dimensions Adding Calculations to a Cube Working with Measures Overview of Cube Security Using MDX to Query a Cube Working with Measure Groups Configure SSAS MDX fundamentals Monitoring SSAS The Implementing Key Performance Adding Calculations to a Cube Indicators Using MDX to Query a Cube Defining Attribute Hierarchies Implementing Actions Sorting and Grouping Attributes Implementing Perspectives The Implementing Key Performance Slowly Changing Dimensions Implementing Translations Indicators Working with Measures Introduction to Tabular Data Models Implementing Actions Working with Measure Groups Creating a Tabular Data Model Implementing Perspectives MDX fundamentals Using an Analysis Services Tabular Data Implementing Translations Adding Calculations to a Cube Model in an Enterprise BI Solution Introduction to Tabular Data Models Using MDX to Query a Cube Overview of Data Mining Creating a Tabular Data Model Creating a Custom Data Mining Solution Using an Analysis Services Tabular Data The Implementing Key Performance Validating a Data Mining Model Model in an Enterprise BI Solution Indicators Connecting to and Consuming a Overview of Data Mining Implementing Actions Creating a Custom Data Mining Solution Implementing Perspectives Using the Data Mining add-in for Excel Validating a Data Mining Model Implementing Translations Connecting to and Consuming a Introduction to Tabular Data Models Lab : Working with an Analysis Services Creating a Tabular Data Model Tabular Data Model Using the Data Mining add-in for Excel Using an Analysis Services Tabular Data Model in an Enterprise BI Solution Creating an Analysis Services Tabular Lab : Creating a multidimensional database Overview of Data Mining Data Model Creating a Custom Data Mining Solution Configure Relationships and Attributes Creating a Data Source Validating a Data Mining Model Configuring Data Model for an Enterprise Creating and Modifying a data Source View Connecting to and Consuming a BI Solution. Creating and Modifying a Cube Adding a Dimension to a Cube Using the Data Mining add-in for Excel After completing this module, students will be After completing this module, you will be able Lab : Using MDX to: Describe BI scenarios, trends, and project Querying a cube using MDX roles. Creating a Calculated Member Describe considerations for a multidimensional Describe how to create a tabular data

4 database. After completing this module, you will be able model to: Use an Analysis Services Tabular Model in an enterprise BI solution Create data sources and data source views. Use basic MDX functions. Create calculated columns and measures by using DAX Create a cube Describe considerations for data mining Use MDX to add calculations to a cube. Create a data mining model Validate a data mining model Implement security in a multidimensional Connect to a data-mining model database. Use MDX to query a cube. Use the data mining add-in for Excel Module 8: Introduction to Data Analysis Configure SSAS to meet requirements Module 6: Customizing Cube Functionality Expression (DAX) including memory limits, NUMA and disk layout. This module describes how to use DAX to create measures and calculated columns in a tabular data model. Monitor SSAS performance. DAX Fundamentals Using DAX to Create Calculated Columns Module 3: Working with Cubes and Dimensions and Measures in a Tabular Data Model Lab : Creating Calculated Columns and This module describes how to implement Measures by using DAX dimensions in a cube. Creating Calculated Columns Creating Measures Creating a KPI Creating a Parent Child Hierarchy The Microsoft business intelligence platform After completing this module, students will be Views Describe BI scenarios, trends, and project roles. Overview of Cube Security Configure SSAS Describe how to create a tabular data Monitoring SSAS model Use an Analysis Services Tabular Model in Defining Attribute Hierarchies an enterprise BI solution Sorting and Grouping Attributes Slowly Changing Dimensions Create calculated columns and measures Working with Measures by using DAX Working with Measure Groups Describe considerations for data mining MDX fundamentals Create a data mining model Adding Calculations to a Cube Validate a data mining model Using MDX to Query a Cube Connect to a data-mining model Use the data mining add-in for Excel The Implementing Key Performance Indicators Module 9: Performing Predictive Analysis with Implementing Actions Data Mining Implementing Perspectives Implementing Translations Introduction to Tabular Data Models This module describes how to use data Creating a Tabular Data Model mining for predictive analysis. Using an Analysis Services Tabular Data Model in an Enterprise BI Solution Overview of Data Mining Creating a Custom Data Mining Solution Validating a Data Mining Model Connecting to and Consuming a The Microsoft business intelligence platform Using the Data Mining add-in for Excel Lab : Working with Cubes and Dimensions Views

5 Defining Relationships and Hierarchies Sorting and Grouping Dimension Attributes Overview of Cube Security Configure SSAS Monitoring SSAS Defining Attribute Hierarchies Sorting and Grouping Attributes Slowly Changing Dimensions Working with Measures Working with Measure Groups MDX fundamentals Adding Calculations to a Cube Using MDX to Query a Cube The Implementing Key Performance Indicators Implementing Actions Implementing Perspectives Implementing Translations Introduction to Tabular Data Models Creating a Tabular Data Model Using an Analysis Services Tabular Data Model in an Enterprise BI Solution Overview of Data Mining Creating a Custom Data Mining Solution Validating a Data Mining Model Connecting to and Consuming a Using the Data Mining add-in for Excel Lab : Using Data Mining Creating a Data Mining Structure and Model Exploring Data Mining Models Validating Data Mining Models Consuming a Data Mining Model Using the Excel Data Mining add-in After completing this module, students will be Describe BI scenarios, trends, and project roles. Describe how to create a tabular data model Use an Analysis Services Tabular Model in an enterprise BI solution Create calculated columns and measures by using DAX Describe considerations for data mining Create a data mining model Validate a data mining model Connect to a data-mining model Use the data mining add-in for Excel

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Developing SQL Data Models

Developing SQL Data Models 20768B; 3 Days; Instructor-led Course Description The focus of this 3-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement