Developing SQL Data Models Training (20768)

Nivå: Intermediate
Snittbetyg: 4,7/5 4,66/5 Based on 59 Reviews

The focus of this 3-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups. This course helps you prepare for the Exam 70-768.

Plus, get prepped for Microsoft exam 70-768, a requirement for MCSA: SQL 2016 BI Development and MCSE: Data Management and Analytics.

Nyckelfunktioner:

Du kommer lära dig att:

  • Describe the components, architecture, and nature of a BI solution
  • Create a multidimensional database with analysis services
  • Implement dimensions in a cube
  • Implement measures and measure groups in a cube
  • Use MDX syntax
  • Customise a cube
  • Implement a tabular database
  • Use DAX to query a tabular model
  • Use data mining for predictive analysis

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  • 3-day instructor-led training course
  • Microsoft Certified training
  • SATV eligible
  • One-on-one after course instructor coaching
  • Pay later by invoice -OR- at the time of checkout by credit card

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  • Coaching av ett expertteam

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Learning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .

I klass & Live, Online-utbildning

Note: This course runs for 3 dagar *

*Events with the Partial Day Event clock icon run longer than normal but provide the convenience of half-day sessions.

  • 20 - 22 jan 9:00 - 4:30 EST Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

  • 3 - 5 mar 9:00 - 4:30 EST Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Boka Din Kursplats

  • 28 - 30 jun 9:00 - 4:30 EDT Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

  • 25 - 27 aug 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Boka Din Kursplats

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Partial Day Event

Learning Tree offers a flexible schedule program. If you cannot attend full day sessions, this option consists of four-hour sessions per day instead of the full-day session.

SQL Data Modelling Course Information

  • Requirements

    • This course requires that you meet the following prerequisites:
      • Basic knowledge of the Microsoft Windows operating system and its core functionality
      • Working knowledge of Transact-SQL
      • Working knowledge of relational databases
  • Exam Information

    This course can help you prepare for the following Microsoft certification exam — 70-768: Developing SQL Data Models

  • Redeem Your Microsoft Training Vouchers (SATV):

    • This course is eligible for Microsoft Software Assurance Training Voucher (SATV) redemption.

SQL Data Modelling Course Outline

  • Module 1: Introduction to Business Intelligence and Data Modelling

    This module introduces key BI concepts and the Microsoft BI product suite.

    Lessons

    • Introduction to Business Intelligence
    • The Microsoft business intelligence platform

    Lab: Exploring a BI Solution

    • Exploring a Data Warehouse
    • Exploring a data model

    After completing this module, students will be able to:

    • Describe BI scenarios, trends, and project roles.
    • Describe the products that make up the Microsoft BI platform.
  • Module 2: Creating Multidimensional Databases

    This module describes how to create multidimensional databases using SQL Server Analysis Services.

    Lessons

    • Introduction to Multidimensional Analysis
    • Data Sources and Data Source Views
    • Cubes
    • Overview of Cube Security
    • Configure SSAS
    • Monitoring SSAS

    Lab: Creating a multidimensional database

    • Creating a Data Source
    • Creating and Configuring a data Source View
    • Creating and Configuring a Cube
    • Adding a Dimension to a Cube

    After completing this module, students will be able to:

    • Describe considerations for a multidimensional database.
    • Create data sources and data source views.
    • Create a cube
    • Implement security in a multidimensional database.
    • Configure SSAS to meet requirements including memory limits, NUMA and disk layout.
    • Monitor SSAS performance.
  • Module 3: Working with Cubes and Dimensions

    This module describes how to implement dimensions in a cube.

    Lessons

    • Configuring dimensions
    • Define attribute hierarchies
    • Implementing sorting and grouping attributes
    • Slowly changing dimensions

    Lab: Working with Cubes and Dimensions

    • Configuring Dimensions
    • Defining Relationships and Hierarchies
    • Sorting and Grouping Dimension Attributes

    After completing this module, students will be able to:

    • Configure dimensions
    • Define attribute hierarchies.
    • Implement sorting and grouping for attributes
    • Implement slowly changing dimensions
  • Module 4: Working with Measures and Measure Groups

    This module describes how to implement measures and measure groups in a cube.

    Lessons

    • Working with measures
    • Working with measure groups

    Lab: Configuring Measures and Measure Groups

    • Configuring Measures
    • Defining Regular Relationships
    • Configuring Measure Group Storage

    After completing this module, students will be able to:

    • Configure measures
    • Configure measure groups
  • Module 5: Introduction to MDX

    This module describes the MDX syntax and how to use MDX.

    Lessons

    • MDX fundamentals
    • Adding calculations to a cube
    • Using MDX to query a cube

    Lab: Using MDX

    • Querying a cube using MDX
    • Adding a Calculated Member

    After completing this module, students will be able to:

    • Use basic MDX functions.
    • Use MDX to add calculations to a cube.
    • Use MDX to query a cube.
  • Module 6: Customising Cube Functionality

    This module describes how to customise a cube.

    Lessons

    • Implementing key performance indicators
    • Implementing actions
    • Implementing perspectives
    • Implementing translations

    Lab: Customising a Cube

    • Implementing an action
    • Implementing a perspective
    • Implementing a translation

    After completing this module, students will be able to:

    • Implement KPIs in a Multidimensional database
    • Implement Actions in a Multidimensional database
    • Implement perspectives in a Multidimensional database
    • Implement translations in a Multidimensional database
  • Module 7: Implementing a Tabular Data Model by Using Analysis Services

    This module describes how to implement a tabular data model in PowerPivot.

    Lessons

    • Introduction to tabular data models
    • Creating a tabular data model
    • Using an analysis services tabular model in an enterprise BI solution

    Lab: Working with an Analysis services tabular data model

    • Creating an Analysis Services Tabular Data Model
    • Configure Relationships and Attributes
    • Configuring Data Model for an Enterprise BI Solution.

    After completing this module, students will be able to:

    • Describe tabular data models
    • Describe how to create a tabular data model
    • Use an Analysis Services Tabular Model in an enterprise BI solution
  • Module 8: Introduction to Data Analysis Expression (DAX)

    This module describes how to use DAX to create measures and calculated columns in a tabular data model.

    Lessons

    • DAX fundamentals
    • Using DAX to create calculated columns and measures in a tabular data model

    Lab: Creating Calculated Columns and Measures by using DAX

    • Creating Calculated Columns
    • Creating Measures
    • Creating a KPI
    • Creating a Parent – Child Hierarchy

    After completing this module, students will be able to:

    • Describe the key features of DAX
    • Create calculated columns and measures by using DAX
  • Module 9: Performing Predictive Analysis with Data Mining

    This module describes how to use data mining for predictive analysis.

    Lessons

    • Overview of data mining
    • Creating a custom data mining solution
    • Validating a data mining model
    • Connecting to and consuming a data mining model
    • Using the data mining add-in for Excel

    Lab: Perform Predictive Analysis with Data Mining

    • Creating a Data Mining Structure and Model
    • Exploring Data Mining Models
    • Validating Data Mining Models
    • Consuming a Data Mining Model
    • Using the Excel Data Mining add-in

    After completing this module, students will be able to:

    • Describe considerations for data mining
    • Create a data mining model
    • Validate a data mining model
    • Connect to a data-mining model
    • Use the data mining add-in for Excel

Teamträning

SQL Data Modelling Training FAQs

  • What is a SQL data model?

    Multidimensional databases using SQL Server Analysis Service (SSAS), SQL data models are created for analysing SASS.

  • Can I learn to develop SQL data models online?

    Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs.

  • Can I use SATVs to take this SQL Data Modelling course?

    Yes! This course is eligible for Microsoft Software Assurance Training Voucher (SATV) redemption.

  • Which Microsoft exam does this SQL Data Modelling course prepare me for?

    This course helps prepare you for the Microsoft 70-768 certification exam, Developing SQL Data Models.

  • Is this Data Modelling course part of a Microsoft SQL Server certification path?

    Yes! It fulfills a requirement for MCSA: SQL 2016 BI Development and MCSE: Data Management and Analytics certifications.

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