Managing SSAS Models

This course takes you through managing an Analysis Services database, both multidimensional and tabular, in the areas of adding an attribute to a dimension, partitioning the fact data, and updating the processing of the model with automation.

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Data Science fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics
Exploratory Data Analysis
ModelingTrending
Predictive Machine Learning
SQL Querying
Relational Data Management
Pandas
Matplotlib
Statistics
Tableau
ETL
Careers:Relevant for professionals pursuing roles within Data Science.

Quick Facts

3 hour 21 minutes
Intermediate
Core Courses
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What You’ll Learn

SQL Server Analysis Services is one of the most widely used tools to analyze businesses with decades of innovations and features that have kept it as leader for business intelligence solutions. In this course, Managing SSAS Models, you will learn how you can manage and improve performance for your multidimensional and tabular models. First, you will explore using backup and restore to get a non-production database available for modification of its object model. Then, you will see the steps necessary to add a new attribute to an existing dimension. Finally, you will learn how processing will be changed to use partitioning to reduce time needed for nightly processing of the database. When you're finished with this course, you'll have the skills and knowledge of managing SSAS models needed to effectively maintain SQL Server Analysis Service databases.

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Outcomes

  • Course Overview : 1min.
  • Multidimensional Models : 36mins.
  • Multidimensional Models Processing and Partitions : 60mins.
  • Tabular Models : 51mins.
  • Tabular Models Processing and Partitions : 48mins.
  • Summary : 2mins.
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FAQs

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