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Designing Business Intelligence Solutions with Microsoft SQL Server 2014
 Designing Business Intelligence Solutions with Microsoft SQL Server 2014
 

20467: BUSINESS INTELLIGENCE (BI): SQL SERVER 2014

The best source of Microsoft Certification Training Courses

A hands-on four-day course with free pre-course online skills testing
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COURSE OUTLINE

Full details of modules and topics covered in this four-day course

VERSIONS COVERED

This course covers 2014 versions

DURATION

This is a four-day training course structured into 24 modules

COURSE AIMS

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.

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.
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.

AUTHORISED MICROSOFT TRAINING COURSE

This is an authorised Microsoft training course, delivered by certified Microsoft trainers at fully equipped centres using the latest equipment, software and course materials. There is no better way to undertake your training, to maximise your learning and ensure the highest marks possible in your certification exams.


COURSE OBJECTIVES

Delegates will learn how 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.


CERTIFICATION

This course helps people to prepare for exam 70-467.


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MODULE 1:  Introduction to Self-Service Business Intelligence
Topics covered:
  • Extending Enterprise BI
  • Microsoft Self-Service BI and Big Data Technologies
MODULE 2:  Lab : Exploring an Enterprise BI Solution
Topics covered:
  • Viewing Reports
  • Analyzing Data in a Data Model
  • Analyzing Data from Multiple Sources
MODULE 3:  Self-Service Reporting
Topics covered:
  • Introduction to Self-Service Reporting
  • Shared Data Sources and Datasets
  • Report Parts
MODULE 4:  Lab : Implementing Self-Service Reporting
Topics covered:
  • Using Report Builder
  • Simplifying Data Access for Business Users
  • Using Report Parts
MODULE 5:  Self-Service Data Modeling with PowerPivot
Topics covered:
  • Creating Data Models in Excel with PowerPivot
  • Using DAX in a PowerPivot Data Model
MODULE 6:  Lab : Self-Service Data Modeling with PowerPivot
Topics covered:
  • Creating a Data Model with PowerPivot
  • Enhancing a Data Model
  • Extending a Data Model
MODULE 7:  Importing Data with Power Query
Topics covered:
  • Introduction to Power Query
  • Using Power Query to Import Data
MODULE 8:  Lab : Using Power Query
Topics covered:
  • Importing data with Power Query
  • Merging Queries
  • Adding a Query to a Data Model
MODULE 9:  Visualizing Data with Power View in Microsoft Excel
Topics covered:
  • Introduction to Power View
  • Creating Dynamic Data Visualizations
MODULE 10:  Lab : Visualizing Data with Power View
Topics covered:
  • Using Power View
MODULE 11:  Visualizing Geographic Data with Power Map
Topics covered:
  • Introduction to Power Map
  • Using Power Map
MODULE 12:  Lab : Visualizing Geographic Data with Power Map
Topics covered:
  • Creating a Power Map Tour
  • Visualizing Data Over Time
MODULE 13:  Collaborative BI with Microsoft SharePoint Server
Topics covered:
  • Sharing PowerPivot Workbooks
  • Managing PowerPivot Services in SharePoint Server
  • Using Power View in SharePoint Server
MODULE 14:  Lab : Using SharePoint Server for BI Collaboration
Topics covered:
  • Sharing a PowerPivot Workbook
  • Managing PowerPivot Data Refresh
  • Using Power View in SharePoint Server
MODULE 15:  The Windows Azure Marketplace Data Market
Topics covered:
  • Introduction to the Windows Azure Marketplace
  • Using Windows Azure Marketplace Data in Microsoft Excel
MODULE 16:  Lab : Using the Windows Azure Marketplace
Topics covered:
  • Finding Data in the Windows Azure Marketplace
  • Using Windows Azure Marketplace Data in Excel
MODULE 17:  Cloud Collaboration with Power BI for Microsoft Office 365
Topics covered:
  • Introduction to Power BI
  • Natural Language Queries with Q&A
  • Sharing Queries
  • The Data Management Gateway
MODULE 18:  Lab : Using Power BI
Topics covered:
  • Provisioning Power BI
  • Viewing Reports and Querying Data in Power BI
  • Sharing Queries
  • Cloud-Enabling a Data Source
MODULE 19:  Introduction to Big Data and Windows Azure HDInsight
Topics covered:
  • Introduction to Big Data
  • Windows Azure HDInsight
MODULE 20:  Lab : Using Windows Azure HDInsight
Topics covered:
  • Provisioning a Windows Azure HDInsight Cluster
  • Processing Data with HDInsight
  • Analyzing Big Data in Microsoft Excel
MODULE 21:  Processing Big Data with Pig and Hive
Topics covered:
  • Processing Big Data with Pig
  • Processing Big Data with Hive
MODULE 22:  Lab : Processing Big Data with Pig and Hive
Topics covered:
  • Processing Big Data with Pig
  • Processing Big Data with Hive
MODULE 23:  Implementing Big Data Processing Solutions with Windows Azure HDInsight
Topics covered:
  • Automating Big Data Processing Tasks
  • Integrating Windows Azure HDInsight with Enterprise Data
MODULE 24:  Lab : Creating a Big Data Solution
Topics covered:
  • Using HCatalog to Abstract Storage Locations
  • Using Oozie to Coordinate a Workflow
  • Using Sqoop to Export Data

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    MORE INFORMATION FOR
    DESIGNING BUSINESS INTELLIGENCE SOLUTIONS WITH MICROSOFT SQL SERVER 2014

    General Information

    All SQL Server training courses use the latest content, qualified and experienced trainers, and provide delegates with the best learning experience. Training is interactive and classroom-based, and the ability to ask questions reinforces knowledge acquisition during the class.

    Class Sizes

    Maximum class sizes vary, but there is always adequate time for delegates to ask questions of the instructor.

    How to book
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    if at any time you want help or advice, or you want to book on the telephone, just call us on 0333 6000 111 to speak to one of our friendly training advisors

    Note: With non-credit card bookings you must sign and return a Booking Form before we can confirm your training.

    Also note: If you are a private individual you must pay by credit card at the time of booking.

    The confirmation process
    Course places allocated
    Your place is allocated, along with the trainer, workbooks and exercise files if appropriate
    Booking confirmation
    You receive an official confirmation, with joining instructions (and directions if it's at our centre)
    Training invoice
    You receive a VAT invoice

    Note: Please allow 1 - 2 working days for your confirmation and invoice.

    What happens on the day

    If you are coming to our centre, dress code is smart casual.   The timetable is as follows:

    9:15

    ARRIVAL TIME

    9:30

    TRAINING STARTS

    11:00

    MID-MORNING BREAK



    1:00

    ONE HOUR LUNCH BREAK

    3:15

    MID-AFTERNOON BREAK

    4:30

    WRAP UP

    Note: break times can vary according to the needs of the training, and course duration for smaller class sizes are usually shorter because fewer delegates have fewer questions !

    What you get

    With your SQL Server training course from Activia, you get a free workbook, so you can review and revise afterwards to reinforce your knowledge.



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