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Home > Technical Courses > SQL Server > Designing Business Intelligence Solutions with Microsoft SQL Server 2014 (20467)
This course teaches you how to implement Business Intelligence and Big Data analysis solutions using the Microsoft data platform.
The five-day Designing Business Intelligence Solutions with Microsoft SQL Server 2014 (20467) course teaches learners how to implement self-service Business Intelligence (BI) and Big Data analysis solutions using the Microsoft data platform. The course discusses the rationale for self-service BI, and describes how to use Microsoft SQL Server Reporting Services, Microsoft Excel, Microsoft SharePoint Server, and Microsoft Office 365 Power BI to create self-service data models and reports. The course then goes on to describe how to use Windows Azure HDInsight to perform Big Data analysis.
Category
ID
Duration
Level
Price
SQL Server
M20467
5 Day(s)
Intermediate
$3,095.00
Objectives
Lesson objectives help you become comfortable with the course, and also provide a means to evaluate learning. Upon successful completion of the Designing Business Intelligence Solutions with Microsoft SQL Server 2014 (20467) training course, you will be able to:· Describe key features and benefits of self-service BI.· Use SQL Server Reporting Services to implement a self-service reporting solution.· Use PowerPivot in Microsoft Excel to create analytical data models.· Use Power Query in Microsoft Excel to import data into a data model.· Use Power View in Microsoft Excel to create interactive data visualizations.· Use Power Map in Microsoft Excel to create geographic data visualizations.· Use Microsoft SharePoint Server to implement collaborative self-service BI solutions.· Provision and use a Windows Azure HDInsight cluster for Big Data analysis.· Use Pig and Hive to analyze big data in Windows Azure HDInsight.
Module 1: Introduction to Self-Service Business IntelligenceThis module introduces self-service BI.Lessons· Extending Enterprise BI· Microsoft Self-Service BI and Big Data TechnologiesLab: Exploring an Enterprise BI SolutionAfter completing this module, you will be able to:· Describe ways in which an enterprise BI solution can be extended.· Identify Microsoft technologies for self-service BI and Big Data analysis.Module 2: Self-Service ReportingThis module describes how to use Report Builder as a tool for self-service Microsoft SQL Server Reporting Services report authoring.Lessons· Introduction to Self-Service Reporting· Shared Data Sources and Datasets· Report PartsLab: Implementing Self-Service ReportingAfter completing this module, you will be able to:· Support self-service reporting with Report Builder.· Create shared data sources and datasets for self-service reporting scenarios.· Use report parts as reusable report elements.Module 3: Self-Service Data Modeling with PowerPivotThis module describes how to use PowerPivot in Microsoft Excel to create self-service data models for analysis.Lessons· Creating Data Models in Excel with PowerPivot· Using DAX in a PowerPivot Data ModelLab: Self-Service Data Modeling with PowerPivotAfter completing this module, you will be able to:· Use PowerPivot to create tabular data models in Excel.· Enhance data models with custom DAX expressions.Module 4: Importing Data with Power QueryThis lesson describes how to use Power Query in Microsoft Excel to find and import data.Lessons· Introduction to Power Query· Using Power Query to Import DataLab: Using Power QueryAfter completing this module, you will be able to:· Enable Power Query and use it to search for data online· Use Power Query to import data from multiple data sources into an Excel data modelModule 5: Visualizing Data with Power View in Microsoft ExcelThis module describes how to use Power View in Microsoft Excel to create interactive data visualizations.Lessons· Introduction to Power View· Creating Dynamic Data VisualizationsLab: Visualizing Data with Power ViewAfter completing this module, you will be able to:· Describe the features of Power View· Use Power View to create interactive data visualizations in ExcelModule 6: Visualizing Geographic Data with Power MapThis module describes how to use Power Map in Microsoft Excel to create geographic data visualizations.Lessons· Introduction to Power Map· Using Power MapLab: Visualizing Geographic Data with Power MapAfter completing this module, you will be able to:· Describe the features and usage scenarios of Power Map· Use Power Map to create visualizations of geographic dataModule 7: Collaborative BI with Microsoft SharePoint ServerThis module describes how to use Microsoft SharePoint Server in an enterprise environment to enable users to share PowerPivot workbooks and Power View reports.Lessons· Sharing PowerPivot Workbooks· Managing PowerPivot Services in SharePoint Server· Using Power View in SharePoint ServerLab: Using SharePoint Server for BI CollaborationAfter completing this module, you will be able to:· Share a PowerPivot workbooks in SharePoint Server· Manage PowerPivot services in SharePoint Server· Use Power View to create interactive data visualizations in SharePoint Server
Module 8: Introduction to Big Data and Microsoft Azure HDInsightThis module introduces Big Data concepts and describes the key features of Windows Azure HDInsight.Lessons· Introduction to Big Data· Windows Azure HDInsightLab: Using Windows Azure HDInsightAfter completing this module, you will be able to:· Describe key features of Big Data.· Use Windows Azure HDInsight to process Map/Reduce jobsModule 9: Processing Big Data with Pig and HiveThis module introduces Pig and Hive, and describes how you can use them to process Big Data in Windows Azure HDInsight.Lessons· Processing Big Data with Pig· Processing Big Data with HiveLab: Processing Big Data with Pig and HiveAfter completing this module, you will be able to:· Use Pig to process Big Data· Use Hive to process Big DataModule 10: Implementing Big Data Processing Solutions with Microsoft Azure HDInsightThis module introduces key Windows Azure HDInsight technologies that enable you to design and implement automated, repeatable Big Data processing solutions that support self-service BI.Lessons· Automating Big Data Processing Tasks· Integrating Windows Azure HDInsight with Enterprise DataLab: Creating a Big Data SolutionAfter completing this module, you will be able to:· Design and implement an automated Big Data processing solution· Integrate Windows Azure HDInsight with Self-Service BI Solutions
Questions?
MCSE: Data Management and Analytics
Before attending this course, you must have:· A basic understanding of dimensional modeling (star schema) for data warehouses.· The ability to create Integration Services packages that include control flows and data flows.· The ability to create a basic multidimensional cube with Analysis Services.· The ability to create a basic tabular model with PowerPivot and Analysis Services.· The ability to create Reporting Services reports with Report Designer.· The ability to implement authentication and permissions in the SQL Server database engine, Analysis Services, and Reporting Services.· Familiarity with SharePoint Server and Microsoft Office applications, particularly Excel.
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