DESIGNING BI SOLUTIONS WITH MICROSOFT SQL SERVER

Presentaci贸n聽

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.

聽Duraci贸n: 25h

 

聽Objetivos

  • 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.
  • Find and use public data in the Windows Azure Marketplace.
  • Use microsoft Office 365 Power BI to implement cloud-based 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.

聽聽Contenidos

  • Module 1: Introduction to Self-Service Business Intelligence
    This module introduces self-service BI.Lessons
    Extending Enterprise BI
    Microsoft Self-Service BI and Big Data Technologies
    Lab : Exploring an Enterprise BI SolutionModule 2: Self-Service Reporting
    This 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 Parts
    Lab : Implementing Self-Service ReportingModule 3: Self-Service Data Modeling with PowerPivot
    This 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 Model
    Lab : Self-Service Data Modeling with PowerPivot

    Module 4: Importing Data with Power Query
    This 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 Data
    Lab : Using Power Query

    Module 5: Visualizing Data with Power View in microsoft Excel
    This module describes how to use Power View in microsoft Excel to create interactive data visualizations.

    Lessons
    Introduction to Power View
    Creating Dynamic Data Visualizations
    Lab : Visualizing Data with Power View

    Module 6: Visualizing Geographic Data with Power Map
    This module describes how to use Power Map in microsoft Excel to create geographic data visualizations.

    Lessons
    Introduction to Power Map
    Using Power Map
    Lab : Visualizing Geographic Data with Power Map

    Module 7: Collaborative BI with microsoft SharePoint Server
    This 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 Server
    Lab : Using SharePoint Server for BI Collaboration

    Module 8: The Windows Azure Marketplace Data Market
    This module describes how to find and use datasets in the Windows Azure Marketplace.

    Lessons
    Introduction to the Windows Azure Marketplace
    Using Windows Azure Marketplace Data in microsoft Excel
    Lab : Using the Windows Azure Marketplace

    Module 9: Cloud Collaboration with Power BI for microsoft Office 365
    This module introduces Power BI for microsoft Office 365, and describes how to use it for cloud-based, collaborative self-service BI.

    Lessons

    Introduction to Power BI
    Natural Language Queries with Q&A
    Sharing Queries
    The Data Management Gateway
    Lab : Using Power BI

    Module 10: Introduction to Big Data and Windows Azure HDInsight
    This module introduces Big Data concepts and describes the key features of Windows Azure HDInsight.

    Lessons

    Introduction to Big Data
    Windows Azure HDInsight
    Lab : Using Windows Azure HDInsight
    Provisioning a Windows Azure HDInsight Cluster
    Processing Data with HDInsight
    Analyzing Big Data in microsoft Excel
    After completing this module, you will be able to:
    Describe key features of Big Data.
    Use Windows Azure HDInsight to process Map/Reduce jobs

    Module 11: Processing Big Data with Pig and Hive
    This 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 Hive
    Lab : Processing Big Data with Pig and Hive
    Processing Big Data with Pig
    Processing Big Data with Hive
    After completing this module, you will be able to:
    Use Pig to process Big Data
    Use Hive to process Big Data

    Module 12: Implementing Big Data Processing Solutions with Windows Azure HDInsight
    This 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 Data
    Lab : Creating a Big Data Solution

聽Dirigido a

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.

聽Requisitos

Knowledge of data warehousing and data modeling principles.
Familiarity with microsoft Excel and microsoft SharePoint Server 2013.

Materiales, metodolog铆a y evaluaci贸n

Profesor

Juan Boix

MCT since 2008 MCSA SQL Server, Windows Server