Developing SQL Server 2016 Data Models in SSAS(plus one day)

Master SQL Server 2016 Data Models with SSAS to empower your business intelligence solutions as a database professional or BI developer.

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Essential Skills Gained

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Design and implement multidimensional databases using SSAS.

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Create and query tabular semantic data models with DAX.

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Optimize and deploy SQL Server Analysis Service databases efficiently.

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Utilize powerful tools like Excel and Power BI for enhanced data analysis.

Format

  • Instructor-led
  • 4 days with lectures and hands-on labs.

Audience

  • BI Developers
  • Database Professionals
  • Power Information Workers
  • Data Analysts

Description

This 4-day instructor-led course is aimed at database professionals who fulfill a Business Intelligence (BI) developer role. Course Description This course looks at implementing multidimensional databases by using SQL Server Analysis Services (SSAS), and at creating tabular semantic data models for analysis with SSAS.  The focus of this Interface-enhanced course is to provide the student with the skills they need to successfully design, implement, deploy, and tune a SQL Server Analysis Service database. This Interface exclusive course features an addition training day to allow students to go deeper into deployment and management of SSAS databases.

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Upcoming Course Dates

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Course Outline

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Module 1: Introduction to Business Intelligence and Data Modeling

  1. Introduction to Business Intelligence

  2. The Microsoft business intelligence platform

Module 2: Creating Multidimensional Databases

  1. Introduction to multidimensional analysis

  2. Creating data sources and data source views

  3. Creating a cube

  4. Overview of cube security

Module 3: Working with Cubes and Dimensions

  1. Configuring dimensions

  2. Define attribute hierarchies

  3. Sorting and grouping attributes

Module 4: Working with Measures and Measure Groups

  1. Working with measures

  2. Working with measure groups

Module 4.1: Optimizing and Managing Multidimensional Databases (Additional Topic)

  1. Deploying an SSAS database

  2. Overview of deployment options

  3. Processing the Database Post Deployment

  4. Using SSIS Process tasks

  5. Optimizing a Multidimensional Database

  6. Instructor Led Practice

Module 5: Introduction to MDX

  1. MDX fundamentals

  2. Adding calculations to a cube

  3. Using MDX to query a cube

Module 5.1: Intermediate MDX (Additional Topic)

  1. Understanding Members, Tuples, Sets

  2. Working with Hierarchies

  3. Working with Common MDX Functions

  4. Creating Named Sets and Custom Calculations

  5. Instructor Led Hands On Practices

Module 6: Customizing Cube Functionality

  1. Implementing key performance indicators

  2. Implementing actions

  3. Implementing perspectives

  4. Implementing translations

Module 7: Implementing a Tabular Data Model by Using Analysis Services

  1. Introduction to tabular data models

  2. Creating a tabular data model

  3. Using an analysis services tabular model in an enterprise BI solution

Module 8: Introduction to Data Analysis Expression (DAX)

  1. DAX fundamentals

  2. Using DAX to create calculated columns and measures

  3. Going deeper into DAX

  4. Creating KPIs

Module 9: Connecting to SSAS databases (Additional Topic)

  1. How to use various tools to connect to SSAS multidimensional and Tabular databases

Your Team has Unique Training Needs.

Your team deserves training as unique as they are.

Let us tailor the course to your needs at no extra cost.