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Applied microsoft business intelligence / / Patrick LeBlanc [and three others]
| Applied microsoft business intelligence / / Patrick LeBlanc [and three others] |
| Autore | Leblanc Patrick |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (432 p.) |
| Disciplina | 658.47028 |
| Soggetto topico |
Business intelligence - Computer programs
Business planning |
| ISBN |
1-118-96178-1
1-118-96179-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Introduction; Part I Overview of the Microsoft Business Intelligence Toolset; Chapter 1 Which Analysis and Reporting Tools Do You Need?; Selecting a SQL Server Database Engine; Building a Data Warehouse; Selecting an RDBMS; Selecting SQL Server Analysis Services; Working with SQL Server Reporting Services; Understanding Operational Reports; Understanding Ad Hoc Reporting; Working with SharePoint; Working with Performance Point; Using Excel for Business Intelligence; What Is Power Query?; What Is Power Pivot?; What Is Power View?; Power Map
Which Development Tools Do You Need?Using SQL Server Data Tools; Using SQL Management Studio; Using Dashboard Designer; Using Report Builder; Summary; Chapter 2 Designing an Effective Business Intelligence Architecture; Identifying the Audience and Goal of the Business Intelligence Solution; Who's the Audience?; What Is the Goal(s)?; What Are the Data Sources?; Using Internal Data Sources; Using External Data Sources; Using a Data Warehouse (or Not); Implementing and Enforcing Data Governance; Planning an Analytical Model; Planning the Business Intelligence Delivery Solution Considering Performance Considering Availability; Summary; Chapter 3 Selecting the Data Architecture that Fits Your Organization; Why Is Data Architecture Selection Important?; Challenges; Benefits; How Do You Pick the Right Data Architecture?; Understanding Architecture Options; Understanding Research Selection Factors; Interviewing Key Stakeholders; Completing the Selection Form; Finalizing and Approving the Architecture; Summary; Part II Business Intelligence for Analysis; Chapter 4 Searching and Combining Data with Power Query; Downloading and Installing Power Query; Importing Data Importing from a Database Importing from the Web; Importing from a File; Transforming Data; Combining Data from Multiple Sources; Splitting Data; Aggregating Data; Introducing M Programming; A Glance at the M Language; Adding and Removing Columns Using M; Summary; Chapter 5 Choosing the Right Business Intelligence Semantic Model; Understanding the Business Intelligence Semantic Model Architecture; Understanding the Data Access Layer; Using Power Pivot; Using the Multidimensional Model; Using the Tabular Model; Implementing Query Languages and the Business Logic Layer Data Analytics Expressions (DAX)Multidimensional Expressions (MDX); Direct Query and ROLAP; Data Model Layer; Comparing the Different Types of Models; Which Model Fits Your Organization?; Departmental; Team; Organizational; Summary; Chapter 6 Discovering and Analyzing Data with Power Pivot; Understanding Hardware and Software Requirements; Enabling Power Pivot; Designing an Optimal Power Pivot Model; Importing Only What You Need; Understanding Why Data Types Matter; Working with Columns or DAX Calculated Measures; Optimizing the Power Pivot Model for Reporting Understanding Power Pivot Model Basics |
| Record Nr. | UNINA-9910131265603321 |
Leblanc Patrick
|
||
| Indianapolis, Indiana : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied microsoft business intelligence / / Patrick LeBlanc [and three others]
| Applied microsoft business intelligence / / Patrick LeBlanc [and three others] |
| Autore | Leblanc Patrick |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (432 p.) |
| Disciplina | 658.47028 |
| Soggetto topico |
Business intelligence - Computer programs
Business planning |
| ISBN |
1-118-96178-1
1-118-96179-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Introduction; Part I Overview of the Microsoft Business Intelligence Toolset; Chapter 1 Which Analysis and Reporting Tools Do You Need?; Selecting a SQL Server Database Engine; Building a Data Warehouse; Selecting an RDBMS; Selecting SQL Server Analysis Services; Working with SQL Server Reporting Services; Understanding Operational Reports; Understanding Ad Hoc Reporting; Working with SharePoint; Working with Performance Point; Using Excel for Business Intelligence; What Is Power Query?; What Is Power Pivot?; What Is Power View?; Power Map
Which Development Tools Do You Need?Using SQL Server Data Tools; Using SQL Management Studio; Using Dashboard Designer; Using Report Builder; Summary; Chapter 2 Designing an Effective Business Intelligence Architecture; Identifying the Audience and Goal of the Business Intelligence Solution; Who's the Audience?; What Is the Goal(s)?; What Are the Data Sources?; Using Internal Data Sources; Using External Data Sources; Using a Data Warehouse (or Not); Implementing and Enforcing Data Governance; Planning an Analytical Model; Planning the Business Intelligence Delivery Solution Considering Performance Considering Availability; Summary; Chapter 3 Selecting the Data Architecture that Fits Your Organization; Why Is Data Architecture Selection Important?; Challenges; Benefits; How Do You Pick the Right Data Architecture?; Understanding Architecture Options; Understanding Research Selection Factors; Interviewing Key Stakeholders; Completing the Selection Form; Finalizing and Approving the Architecture; Summary; Part II Business Intelligence for Analysis; Chapter 4 Searching and Combining Data with Power Query; Downloading and Installing Power Query; Importing Data Importing from a Database Importing from the Web; Importing from a File; Transforming Data; Combining Data from Multiple Sources; Splitting Data; Aggregating Data; Introducing M Programming; A Glance at the M Language; Adding and Removing Columns Using M; Summary; Chapter 5 Choosing the Right Business Intelligence Semantic Model; Understanding the Business Intelligence Semantic Model Architecture; Understanding the Data Access Layer; Using Power Pivot; Using the Multidimensional Model; Using the Tabular Model; Implementing Query Languages and the Business Logic Layer Data Analytics Expressions (DAX)Multidimensional Expressions (MDX); Direct Query and ROLAP; Data Model Layer; Comparing the Different Types of Models; Which Model Fits Your Organization?; Departmental; Team; Organizational; Summary; Chapter 6 Discovering and Analyzing Data with Power Pivot; Understanding Hardware and Software Requirements; Enabling Power Pivot; Designing an Optimal Power Pivot Model; Importing Only What You Need; Understanding Why Data Types Matter; Working with Columns or DAX Calculated Measures; Optimizing the Power Pivot Model for Reporting Understanding Power Pivot Model Basics |
| Record Nr. | UNINA-9910821915403321 |
|
Leblanc Patrick
|
||
| Indianapolis, Indiana : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||