Quick Microsoft SQL Server 2012 Analysis Services
Corso
A Milano
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Descrizione
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Tipologia
Corso
-
Luogo
Milano
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Inizio
Scegli data
Introduction Course Materials Facilities Prerequisites What We'll Be Discussing After completing this module, students will be able to: Successfully log into their virtual machine. Have a full understanding of what the course intends to cover.
Sedi e date
Luogo
Inizio del corso
Inizio del corso
Opinioni
Materie
- Server
- Security
- Microsoft SQL Server
- SQL
Programma
Analysis Services is an online analytical processing (OLAP) database, a type of database that is highly optimized for the kinds of queries and calculations that are common in a business intelligence environment. In this module we aim to get you familiar with the recent changes, explore the architecture options, and explain the tools available.Lessons
Common Analysis Services Solutions
Version Changes of SSAS from 2008-2014
Analysis Services Installation and Architecture: One Product, Two Models
Choosing the Right Model
Analysis Services Tools
Lab : Introduction to Microsoft SQL Server Analysis Services
Analysis Services Tools
After completing this module, students will be able to:
Understand common Analysis Services solutions.
Understand version changes of SSAS from 2008-2014.
Understand Analysis Services installation and architecture.
Understand how to choose the right model.
Understand the Analysis Services tools available.
In the multidimensional model, data is modeled as a series of cubes and dimensions. In this module we will explore how to create and configure a cube. Dimensions will be discussed in a later module.Lessons
Understanding the Multidimensional Model
Utilizing Data Sources and Data Source Views
Creating a Cube
Creating a Cube
After completing this module, students will be able to:
Understand the multidimensional model.
Utilize data sources and data source views.
Create a cube.
Dimensions are the categories by which you slice your data to view specific quantities of interest. In this module we will explore dimensions and how they are used in conjunction with attributes, relationships, and hierarchies.
Lessons
Developing Dimensions
Utilizing Attributes
Relating with Relationships
Handling Hierarchies
Lab : Dissecting with Dimensions
Developing Dimensions
Relating with Relationships
Handling Hierarchies
After completing this module, students will be able to:
Understand and utilize dimensions.
Understand and utilize attributes.
Understand and utilize relationships.
Understand and utilize hierarchies.
Each cube is made up of one or more measure groups, and each measure group in a cube contains one or more measures. In this module we will explore all there is to know about measures and measure groups, and we’ll also cover calculated members.Lessons
Measures and Measure Groups
Calculated Members
Measures and Measure Groups
Calculated Members
After completing this module, students will be able to:
Understand and utilize measures and measure groups.
Understand and utilize calculated members.
Perspectives have the ability to hide certain parts of a complex model, which can help usability, and security roles can be used to deny access to specific rows of data from tables to specific users. Translations allow the metadata of a multidimensional model to appear in different languages for users with different locales on their desktops. In this module we will cover both configurations and the options available.Lessons
Understanding Perspectives
Utilizing Translations
Browsing Perspectives and Translations
Browsing Perspectives and Translations
After completing this module, students will be able to:
Understand and utilize perspectives.
Understand and utilize translations.
Browse perspectives and translations.
Deploying an Analysis Services project creates the defined objects in an instance of Analysis Services. In this module we will explore deployment options, processing strategies, and security.
Lessons
Examining Deployment Options
Processing Strategies
Exploring Security
Deploying the Multidimensional Model
After completing this module, students will be able to:
Understand and utilize deployment options.
Understand and utilize processing strategies.
Understand and utilize security.
Deploy a multidimensional model.
Tabular models are in-memory databases in Analysis Services. In this module we will explore the tabular model, create a tabular project, deploy and query the solution using Data Analytic Expressions (DAX).
Lessons
Understanding the Tabular Model
Creating a Tabular Project
Deploying
Browsing the Model
Querying the Solution and Understanding DAX
Maintaining and Optimizing
Creating a Tabular Project
Analyze in Excel
Calculated Measures and Calculated Fields
Backup and Restore
After completing this module, students will be able to:
Understand the tabular model.
Create a tabular project.
Analyze the data using Microsoft Excel.
Create and configure calculated measures and calculated fields.
Backup and Restore.
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Quick Microsoft SQL Server 2012 Analysis Services