Designing Business Intelligence Solutions with Microsoft SQL Server 2014 vC

Course information
Price: Please Call
Day(s): 5
Course Code: M20467
GTC: 24
SATV: 5
Version: C
Delivery Method: Company Events

Overview

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.

 

 

Pre-Requisites

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

Content

  • Module 1: Introduction to Self-Service Business Intelligence
  • Extending Enterprise BI
  • Microsoft Self-Service BI and Big Data Technologies
  • Lab : Exploring an Enterprise BI Solution
  • Viewing Reports
  • Analyzing Data in a Data Model
  • Analyzing Data from Multiple Sources
  • Module 2: Self-Service Reporting
  • Introduction to Self-Service Reporting
  • Shared Data Sources and Datasets
  • Report Parts
  • Lab : Implementing Self-Service Reporting
  • Using Report Builder
  • Simplifying Data Access for Business Users
  • Using Report Parts
  • Module 3: Self-Service Data Modeling with PowerPivot
  • Creating Data Models in Excel with PowerPivot
  • Using DAX in a PowerPivot Data Model
  • Lab : Self-Service Data Modeling with PowerPivot
  • Creating a Data Model with PowerPivot
  • Enhancing a Data Model
  • Extending a Data Model
  • Module 4: Importing Data with Power Query
  • Introduction to Power Query
  • Using Power Query to Import Data
  • Lab : Using Power Query
  • Importing data with Power Query
  • Merging Queries
  • Adding a Query to a Data Model
  • Module 5: Visualizing Data with Power View in Microsoft Excel
  • Introduction to Power View
  • Creating Dynamic Data Visualizations
  • Lab : Visualizing Data with Power View
  • Using Power View
  • Module 6: Visualizing Geographic Data with Power Map
  • Introduction to Power Map
  • Using Power Map
  • Lab : Visualizing Geographic Data with Power Map
  • Creating a Power Map Tour
  • Visualizing Data Over Time
  • Module 7: Collaborative BI with Microsoft SharePoint Server
  • Sharing PowerPivot Workbooks
  • Managing PowerPivot Services in SharePoint Server
  • Using Power View in SharePoint Server
  • Lab : Using SharePoint Server for BI Collaboration
  • Sharing a PowerPivot Workbook
  • Managing PowerPivot Data Refresh
  • Using Power View in SharePoint Server
  • Module 8: The Windows Azure Marketplace Data Market
  • Introduction to the Windows Azure Marketplace
  • Using Windows Azure Marketplace Data in Microsoft Excel
  • Lab : Using the Windows Azure Marketplace
  • Finding Data in the Windows Azure Marketplace
  • Using Windows Azure Marketplace Data in Excel
  • Module 9: Cloud Collaboration with Power BI for Microsoft Office 365
  • Introduction to Power BI
  • Natural Language Queries with Q&A
  • Sharing Queries
  • The Data Management Gateway
  • Lab : Using Power BI
  • Provisioning Power BI
  • Viewing Reports and Querying Data in Power BI
  • Sharing Queries
  • Cloud-Enabling a Data Source
  • Module 10: Introduction to Big Data and Windows Azure HDInsight
  • 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
  • Module 11: Processing Big Data with Pig and Hive
  • 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
  • Module 12: Implementing Big Data Processing Solutions with Windows Azure HDInsight
  • Automating Big Data Processing Tasks
  • Integrating Windows Azure HDInsight with Enterprise Data
  • Lab : Creating a Big Data Solution
  • Using HCatalog to Abstract Storage Locations
  • Using Oozie to Coordinate a Workflow
  • Using Sqoop to Export Data

Objectives

  • 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.

Target Audience

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.

Company Events Schedule

Looking for onsite training?

We can deliver standard or tailored courses to your requirements to be delivered as closed company events at your location or ours, whichever suits you and your employees.

Dates for all Delivery Formats
Date & Location Language Ver Delivery Method
June
12 Jun - 16 Jun, 2017
Virtual Training
Virtual Learning
September
04 Sep - 08 Sep, 2017
Virtual Training
Virtual Learning
February
05 Feb - 09 Feb, 2018
Virtual Training
Virtual Learning

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