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  • Book Overview & Buying Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide
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Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide

Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide

By : Abolfazl Radgoudarzi, Reza Rad
4.1 (14)
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Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide

Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide

4.1 (14)
By: Abolfazl Radgoudarzi, Reza Rad
Buy this Book

Overview of this book

Written in an easy-to-follow, example-driven format, there are plenty of step-by-step instructions to help get you started! The book has a friendly approach, with the opportunity to learn by experimenting. If you are a BI and Data Warehouse developer new to Microsoft Business Intelligence, and looking to get a good understanding of the different components of Microsoft SQL Server for Business Intelligence, this book is for you. It’s assumed that you will have some experience in databases systems and T-SQL. This book is will give you a good upshot view of each component and scenarios featuring the use of that component in Data Warehousing and Business Intelligence systems.
Table of Contents (14 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Time for action – heading
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Reader feedback
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Customer support
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1
1. Data Warehouse Design
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1. Data Warehouse Design
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Understanding Business Intelligence
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The architecture and components of a BI system
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Building the data warehouse
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Summary
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2. SQL Server Analysis Services Multidimensional Cube Development
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2. SQL Server Analysis Services Multidimensional Cube Development
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Why is OLAP required?
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Understanding the SQL Server Analysis Services engine
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Developing your first cube
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Time for action – creating an Analysis Services project
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Time for action – creating the first cube
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Time for action – viewing the cube in the browser
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Dimensions and measures
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Time for action – using the Dimension Designer
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Time for action – change the order of the Month attribute
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Time for action – modifying the measure properties
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Data Source View
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Time for action – creating a Named Calculation
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Time for action – using a Named Query
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Using dimensions
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Time for action – adding a Fact relationship
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Hierarchies
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Time for action – creating a hierarchy
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Multidimensional eXpression, calculated members, and Named Sets
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Time for action – writing an MDX query
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Time for action – calculated members
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Deploying and processing
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Time for action – deploying an SSAS project
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Time for action – processing the data
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Summary
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3. Tabular Model Development of SQL Server Analysis Services
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3. Tabular Model Development of SQL Server Analysis Services
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Introducing SSAS Tabular
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Developing a tabular project
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Time for action – creating a tabular project
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Time for action – creating measures
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Creating hierarchies
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Time for action – creating a hierarchy from a single table
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Time for action – creating a hierarchy from multiple tables
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Data Analysis eXpression, calculated columns, and measures
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Time for action – using time intelligence functions in DAX
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Securing the data
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Time for action – security in tabular
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Storage modes
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Time for action – creating a model with the DirectQuery storage mode
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Tabular versus Multidimensional SSAS
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Summary
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4. ETL with Integration Services
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4. ETL with Integration Services
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Understanding ETL and data consolidation
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SQL Server Integration Services
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Integration Service projects and packages
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Time for action – creating your first SSIS project
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The Control Flow tab
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Time for action – working with Control Flow tasks
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The Data Flow tab
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Time for action – loading customer information from a flat file into a database table with a Data Flow Task
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Containers and dynamic packages
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Time for action – looping through CSV files in a directory and loading them into a database table
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Deploying and executing
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Time for action – deploying an SSIS project
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Time for action – executing an SSIS package from a catalog
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Summary
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5. Master Data Management
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5. Master Data Management
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Understanding Master Data Management
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Master Data Services
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Time for action – configuring MDS
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Comparing WebUI with the Excel Add-in
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Time for action – installing Excel Add-in
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Creating models and entities
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Time for action – creating a model and an entity
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Time for action – creating an entity with data from the Excel Add-in
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Time for action – change tracking
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The entity relationship
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Time for action – creating a domain-based relationship
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Business rules
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Time for action – creating a simple business rule
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Working with hierarchies
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Time for action – creating a derived hierarchy
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Security and permission
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Time for action – permission walkthrough
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Integration management
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Time for action – a subscription view
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Time for action – entity-based staging
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Summary
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6. Data Quality and Data Cleansing
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6. Data Quality and Data Cleansing
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Understanding data quality
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Data Quality Services
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Time for action – installing Data Quality Services
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Knowledge Base Management
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Time for action – creating a Knowledge Base
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Knowledge discovery
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Time for action – knowledge discovery
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Data cleansing with Data Quality Projects
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Time for action – using Data Quality Project for cleansing
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Domain and composite domain rules
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Time for action – composite domain rules
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Synonyms and standardization
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Time for action – creating synonyms and setting standardization
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Matching
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Time for action – matching policy
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Time for action – matching projects
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Integrating with MDS and SSIS
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Time for action – the DQS cleansing component in SSIS
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Summary
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7. Data Mining – Descriptive Models in SSAS
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7. Data Mining – Descriptive Models in SSAS
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An introduction to data mining
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The Microsoft Decision Tree algorithm
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Time for action – creating a data mining solution with the Microsoft Decision Tree algorithm
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Microsoft association rules
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Time for action – the Microsoft association rule
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Summary
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8. Identifying Data Patterns – Predictive Models in SSAS
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8. Identifying Data Patterns – Predictive Models in SSAS
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Finding the best algorithm
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Time for action – finding the best mining model with Lift Chart and Profit Chart
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Predicting data with DMX
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Time for action – predicting prospective bike buyers
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Microsoft Time Series
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Time for action – predicting future sales with Microsoft Time Series
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Summary
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9. Reporting Services
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9. Reporting Services
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The Reporting Services architecture
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Developing a basic report
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Time for action – creating our first report using SSRS
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Extended report development
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Time for action – adding parameters to a report
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Printing and page configuration
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Time for action – changing a page's properties
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Sorting and grouping
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Time for action – applying ordering and grouping on the data rows
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Expressions
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Time for action – changing the background color of data rows based on expressions
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Time for action – working with charts in Reporting Services
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Deploying and configuring
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Time for action – deploying a report
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Time for action – using Report Manager
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Summary
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10. Dashboard Design
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10. Dashboard Design
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The PerformancePoint service
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Time for action – configuring PerformancePoint in SharePoint
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Time for action – creating your first dashboard with PerformancePoint Dashboard Designer
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Time for action – creating a dashboard page
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Time for action – exploring on-the-fly features
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Time for action – working with filters
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Power View
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Time for action – enabling Power View in Excel
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Time for action – creating the first Power View dashboard
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Time for action – geographical data visualization using Power View
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Time for action – visualizing time-based information with a scatter chart
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Time for action – using Filter in Power View
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Summary
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11. Power BI
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11. Power BI
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Self-service ETL with Power Query
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Time for action – self-service ETL with Power Query
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Power Map
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Time for action – data visualization with Power Map
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Summary
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12. Integrating Reports in Applications
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12. Integrating Reports in Applications
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Designing .NET applications with reports
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Time for action – installing AdventureWorks SSRS sample reports
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Developing reports in a web application
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Time for action – working with reports in web/Windows applications
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Developing reports in a Metro application
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Time for action – working with reports in Metro applications
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Working with ReportViewer in a local processing mode
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Time for action – designing reports and working with the local processing mode
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Passing parameters to a report
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Time for action – changing a report configuration with a ReportViewer Object through code behind
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Using the results of a mining model in an application
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Time for action – running DMX queries from a .NET application
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Summary
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Index
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Index

Data Quality Services

Microsoft's solution for data quality, introduced in SQL Server 2012 and named Data Quality Services (DQS), is a service-based application that works based on knowledge-base-driven data quality. Knowledge-base-driven data quality works with Knowledge Bases that consist of domains. Knowledge Bases will be maintained with the business user named data steward. A data steward is someone who knows the domains of the business and can maintain the best quality Knowledge Base for that business. DQS also comes with a functionality to create data-matching rules and apply these rules on the data. The following diagram shows the Data Quality Services process (sourced from Microsoft):

The Knowledge Base can get data from cloud services such as Windows Azure Marketplace, which is called reference data, or it can be created and maintained by a data steward. The process of knowledge discovery, managing knowledge, correction, and matching is like a cycle, and will enhance the Knowledge...

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