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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
Lock Free Chapter
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

Understanding data quality

Data quality is about which data is good for business. Data quality can be different based on source systems, reliability of incoming data, data entry, and so on. Data quality is important because bad data would cause bad business. Bad data quality is one of the barriers of Business Intelligence systems. In other words, one of the building blocks of a robust Business Intelligence system is ensuring the data quality is high.

Data quality issues can be divided into the following categories:

  • Uniqueness
  • Validity
  • Accuracy
  • Standardization
  • Completeness

Uniqueness is about multiple copies of the same data, such as Bill Gates and Bill Geates. In this sample, both names seem to be the same. Validity is about different kinds of validation for data, for example, range validity of age is something between 0 and 150 (if there is someone who will live that long). Accuracy is about the correctness of data, for example, the wrong opening date for a store will be considered bad data...

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