Atpakaļ

20768, SQL datu modeļu izstrāde

Kursa ilgums, akadēmiskās stundas:24
Kursa cena, EUR (bez PVN):900,00

Plāni

Datums, laiksVietaValoda
16.decembris - 18.decembris, 2019 RĪGA, Tallinas 4Latviski
Pieteikties

 

Apraksts nav pieejams latviešu valodā

About this Course

This three-day instructor-led course is aimed at database professionals who fulfil a Business Intelligence (BI) developer role. 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.

Audience

The primary audience for this course are database professionals who need to fulfil BI Developer role to create enterprise BI solutions. Primary responsibilities will include:

  • Implementing multidimensional databases by using SQL Server Analysis Services
  • Creating tabular semantic data models for analysis by using SQL Server Analysis Services

The secondary audiences for this course are ‘power’ information workers/data analysts.

Prerequisites

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.

At Course Completion

After completing this course, students will be able to:

  • 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
  • Customize a cube
  • Implement a tabular database
  • Use DAX to query a tabular model
  • Use data mining for predictive analysis

Certification Exam

This course helps you prepare for the following Microsoft Certification exam:

  • 70-768: Developing SQL Data Models

Course Outline

1.  Introduction to Business Intelligence and Data Modeling

  • Introduction to Business Intelligence
  • The Microsoft business intelligence platform

2. Creating Multidimensional Databases

  • Introduction to multidimensional analysis
  • Creating data sources and data source views
  • Creating a cube
  • Overview of cube security

3. Working with Cubes and Dimensions

  • Configuring dimensions
  • Define attribute hierarchies
  • Sorting and grouping attributes

4. Working with Measures and Measure Groups

  • Working with measures
  • Working with measure groups

5. Introduction to MDX

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

6. Customizing Cube Functionality

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

7. Implementing a Tabular Data Model by Using Analysis Services

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

8. Introduction to Data Analysis Expression (DAX)

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

9. Performing Predictive Analysis with Data Mining

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