Digi Academy

Quick Microsoft SQL Server 2012 Analysis Services

Digi Academy
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Tipologia Corso
Luogo Milano
Inizio Scegli data
  • Corso
  • Milano
  • Inizio:
    Scegli data
Descrizione

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.

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Dove e quando
Inizio Luogo
Scegli data
Milano
Via Valtellina, 63, 20124, Milano, Italia
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Inizio Scegli data
Luogo
Milano
Via Valtellina, 63, 20124, Milano, Italia
Visualizza mappa

Cosa impari in questo corso?

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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