Designing Business Intelligence Solutions with Microsoft SQL Server 2014 - MOC20467

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Beschreibung

This five-day instructor-led course teaches students 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.

Nach Abschluss dieses Seminars haben die Teilnehmer Wissen zu folgenden Themen:
  • 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.
  • Design and implement Big Data processes to support self-service BI.


  • Mögliche Zertifizierung: MCSE: Data Management & Analytics

error_outline Wichtige Information

Dieses Seminar behandelt prüfungsrelevante Themen zum Microsoft Examen: 70-467 Designing Business Intelligence Solutions with Microsoft SQL Server

Mögliche Zertifizierung: MCSE: Data Management & Analytics Services geeignet.

expand_more chevron_right Zielgruppe

Dieses Seminar richtet sich an:
    The primary audience for this course is database and business intelligence (BI) professionals who are familiar with data warehouses and enterprise BI solutions built with SQL Server technologies. Experienced data analysts who want to learn how to use Microsoft technologies for self-service analysis and reporting will also benefit from attending this course.

expand_more chevron_right Vorkenntnisse

Für dieses Seminar werden folgende Kenntnisse empfohlen:
    • Knowledge of data warehousing and data modeling principles.
    • Familiarity with Microsoft Excel and Microsoft SharePoint Server 2013.

expand_more chevron_right Detail-Inhalte

  1. Introduction to Self-Service Business Intelligence
    1. Extending Enterprise BI
    2. Microsoft Self-Service BI and Big Data Technologies
      1. Exploring an Enterprise BI Solution
  2. Self-Service Reporting
    1. Introduction to Self-Service Reporting
    2. Shared Data Sources and Datasets
    3. Report Parts
      1. Implementing Self-Service Reporting
  3. Self-Service Data Modeling with PowerPivot
    1. Creating Data Models in Excel with PowerPivot
    2. Using DAX in a PowerPivot Data Model
      1. Self-Service Data Modeling with PowerPivot
  4. Importing Data with Power Query
  5. Introduction to Power Query
  6. Using Power Query to Import Data
      1. Using Power Query
  7. Visualizing Data with Power View in Microsoft Excel
    1. Introduction to Power View
    2. Creating Dynamic Data Visualizations
      1. Visualizing Data with Power View
  8. Visualizing Geographic Data with Power Map
    1. Introduction to Power Map
    2. Using Power Map
      1. Visualizing Geographic Data with Power Map
  9. Collaborative BI with Microsoft SharePoint Server
    1. Sharing PowerPivot Workbooks
    2. Managing PowerPivot Services in SharePoint Server
    3. Using Power View in SharePoint Server
      1. Using SharePoint Server for BI Collaboration
  10. The Windows Azure Marketplace Data Market
    1. Introduction to the Windows Azure Marketplace
    2. Using Windows Azure Marketplace Data in Microsoft Excel
      1. Using the Windows Azure Marketplace
  11. Cloud Collaboration with Power BI for Microsoft Office 365
    1. Introduction to Power BI
    2. Natural Language Queries with Q&A
    3. Sharing Queries
    4. The Data Management Gateway
      1. Using Power BI
  12. Introduction to Big Data and Windows Azure HDInsight
    1. Introduction to Big Data
    2. Windows Azure HDInsight
      1. Using Windows Azure HDInsight
  13. Processing Big Data with Pig and Hive
    1. Processing Big Data with Pig
    2. Processing Big Data with Hive
      1. Processing Big Data with Pig and Hive
  14. Implementing Big Data Processing Solutions with Windows Azure HDInsight
    1. Automating Big Data Processing Tasks
    2. Integrating Windows Azure HDInsight with Enterprise Data
      1. Creating a Big Data Solution

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  • PowerBI noch etwas in den Kinderschuhen, aber guter Kurs!

    — Martin B. · 05.07.2016