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Designing Self-Service BI and Big Data Solutions

at ONLC Training Centers - Murray Hill

(5)
Course Details
Price:
$2,795
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Location:
Murray Hill, Manhattan
275 Madison Ave 14th Fl
At E 40th St
New York, New York 10016
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Important:
All classes are live, hands-on training via remote instructor.
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Description
Class Level: Advanced
Age Requirements: 18 and older
Average Class Size: 7

What you'll learn in this business intelligence training:

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.

Note
This course is designed for customers using SQL Server 2012 or SQL Server 2014 in conjunction with Microsoft Office.

Audience Profile
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.

Prerequisites
This course requires that you meet the following prerequisites:
  • Knowledge of data warehousing and data modeling principles.
  • Familiarity with Microsoft Excel and Microsoft SharePoint Server 2013.
At Course Completion
After completing this course, students 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.
  • 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.
Course Outline

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 Solution
Viewing Reports
Analyzing Data in a Data Model
Analyzing Data from Multiple Sources

Module 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 Reporting
Using Report Builder
Simplifying Data Access for Business Users
Using Report Parts

Module 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
Creating a Data Model with PowerPivot
Enhancing a Data Model
Extending a Data Model

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
Importing data with Power Query
Merging Queries
Adding a Query to a Data Model

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
Using 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
Creating a Power Map Tour
Visualizing Data Over Time

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
Sharing a PowerPivot Workbook
Managing PowerPivot Data Refresh
Using Power View in SharePoint Server

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
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
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
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
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

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

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
Using HCatalog to Abstract Storage Locations
Using Oozie to Coordinate a Workflow
Using Sqoop to Export Data

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Refund Policy
Student cancellation requests made 14 calendar days or less before the class starts will be charged 100% of the course fee and are not entitled to a refund. The student has one (1) opportunity to use our Make-Up policy to have those funds applied to a later class date.

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School: ONLC Training Centers

ONLC Training Centers

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