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Patrick Neborg

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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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.

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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What's inside

Syllabus

Course Overview
Multidimensional Models
Multidimensional Models Processing and Partitions
Tabular Models
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Tabular Models Processing and Partitions
Summary

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Looks at SQL Server Analysis Services (SSAS) which uses multidimensional and tabular database models
Introduces using backup and restore to test a database model
Practices data processing uses automation to improve performance
Teaches how to add attributes to dimensions, partitions to data, and automate model processing
Taught by Patrick Neborg, who is an expert in SQL Server

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Managing SSAS Models with these activities:
Review SSAS Concepts
Review the fundamentals of SSAS to strengthen your understanding of the course material.
Browse courses on SSAS
Show steps
  • Revisit the concepts of multidimensional and tabular models.
  • Recall the basics of SSAS processing and partitions.
  • Go over the key features and benefits of SSAS.
Connect with SSAS Professionals
Enhance your learning by seeking guidance from experienced SSAS professionals who can provide valuable insights and support.
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Show steps
  • Attend industry events or online forums
  • Reach out to professionals on LinkedIn
Review SSAS Concepts
Revisit key concepts and terminology related to SQL Server Analysis Services to strengthen your foundation for the course.
Show steps
  • Review documentation on Microsoft's website
  • Go through online tutorials on SSAS fundamentals
Ten other activities
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Follow SSAS Tutorials
Seek out and follow guided tutorials to supplement your learning and gain practical insights.
Browse courses on SSAS
Show steps
  • Identify reputable online resources and tutorials that provide step-by-step guidance on SSAS.
  • Follow along with tutorials to build and manage SSAS models using different techniques.
  • Experiment with the concepts learned in the tutorials to solidify your understanding.
Solve SSAS Practice Problems
Engage in practice drills to reinforce your understanding of SSAS concepts and improve your problem-solving skills.
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Show steps
  • Work through practice problems related to multidimensional and tabular model design.
  • Solve exercises on SSAS processing and optimization techniques.
  • Attempt case studies that simulate real-world SSAS implementation scenarios.
Engage in Peer Discussions
Engage with peers to discuss course concepts, share insights, and provide support for better comprehension.
Browse courses on SSAS
Show steps
  • Identify and connect with peers who are also taking the course.
  • Set up regular study sessions to discuss course material.
  • Share knowledge, ask questions, and work through problems together.
Practice Adding Attributes to Dimensions
Reinforce your understanding of creating and managing dimensions by practicing adding attributes to existing dimensions.
Browse courses on Dimensions
Show steps
  • Create a sample multidimensional model
  • Identify a dimension to add an attribute to
  • Follow Microsoft's documentation to add the attribute
Compile Resources on SSAS Best Practices
Enhance your knowledge base by gathering and organizing articles, whitepapers, and other resources on SSAS best practices for future reference.
Browse courses on Best Practices
Show steps
  • Search for relevant materials online
  • Organize and categorize the resources
Attend an SSAS Workshop
Accelerate your learning by participating in an in-person or online workshop led by industry experts, providing hands-on experience with SSAS.
Show steps
  • Identify relevant workshops
  • Register and attend the workshop
Partition Fact Data Using DAX
Deepen your understanding of partitioning by following guided tutorials on using DAX to create and manage partitions in tabular models.
Show steps
  • Find online tutorials on DAX partitioning
  • Follow the tutorial steps to create a sample tabular model
  • Partition the fact table using DAX
Develop an SSAS Implementation Plan
Create a comprehensive plan for implementing SSAS in a real-world scenario, applying the knowledge gained in the course.
Browse courses on SSAS
Show steps
  • Define the business requirements and objectives for the SSAS implementation.
  • Design the SSAS model, including data sources, dimensions, and measures.
  • Develop a strategy for SSAS processing and deployment.
  • Outline a plan for ongoing maintenance and support of the SSAS implementation.
Create an SSAS Model with Automated Processing
Demonstrate your mastery of managing SSAS models by creating a model that utilizes automated processing, significantly enhancing performance.
Browse courses on Processing
Show steps
  • Design a multidimensional or tabular model
  • Implement automated processing using SQL Server Management Studio (SSMS)
  • Test and refine the model for optimal performance
Guide a Junior Analyst with SSAS
Solidify your understanding of SSAS by mentoring a junior analyst, sharing your knowledge and guiding their development in the field.
Browse courses on Mentorship
Show steps
  • Identify a junior analyst seeking guidance
  • Share your expertise and provide support

Career center

Learners who complete Managing SSAS Models will develop knowledge and skills that may be useful to these careers:
Business Intelligence Analyst
Business Intelligence Analysts play a vital role in helping organizations leverage data to make informed decisions. The Managing SSAS Models course is highly relevant to this role as it provides the skills and knowledge needed to manage and improve performance for multidimensional and tabular models. This expertise enables Business Intelligence Analysts to effectively analyze data, identify trends and patterns, and develop actionable insights that drive business growth and competitive advantage.
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure and processes that support data analysis and reporting. The Managing SSAS Models course provides valuable knowledge for Data Engineers who work with SSAS models. It covers essential topics such as data partitioning, processing automation, and performance optimization, enabling Data Engineers to design and implement efficient data management solutions that empower data-driven decision-making.
Database Administrator
Database Administrators are responsible for managing and maintaining the performance and security of databases. The Managing SSAS Models course is beneficial for Database Administrators who work with SSAS databases. It provides a comprehensive understanding of how to manage SSAS models, including backup and restore, attribute management, and processing optimization. This knowledge enables Database Administrators to ensure the availability, reliability, and integrity of SSAS databases, supporting critical business operations and decision-making.
Data Analyst
Data Analysts are responsible for collecting, analyzing, and interpreting data to extract meaningful insights that drive decision-making and improve business outcomes. The Managing SSAS Models course provides a strong foundation for aspiring Data Analysts by teaching them the fundamentals of managing and optimizing SSAS models. This knowledge is crucial for efficiently handling large and complex datasets, ensuring data accuracy and integrity, and delivering valuable insights that support strategic decision-making.
Data Architect
Data Architects design and implement data management solutions to meet the evolving needs of organizations. The Managing SSAS Models course is beneficial for Data Architects as it provides a deep understanding of how to manage and optimize SSAS models, which are often a critical component of data architectures. By mastering these skills, Data Architects can ensure the reliability, scalability, and performance of data systems, enabling organizations to effectively harness the value of their data.
Statistician
Statisticians use statistical methods to analyze data and draw conclusions. The Managing SSAS Models course may be useful for Statisticians who work with large and complex datasets. It provides a foundation in managing and processing SSAS models, which can be valuable for ensuring data accuracy and integrity, handling missing values, and performing statistical analysis efficiently. By mastering these skills, Statisticians can enhance the quality and reliability of their statistical models and insights.
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure the quality, accuracy, and consistency of data. The Managing SSAS Models course may be useful for Data Governance Analysts who want to enhance their data management and analysis skills. It provides a foundation in managing and processing SSAS models, which can be valuable for understanding data governance requirements, implementing data quality controls, and monitoring data usage. By mastering these skills, Data Governance Analysts can improve the effectiveness of their data governance initiatives and ensure the reliability and trustworthiness of data within an organization.
Business Analyst
Business Analysts use data and analysis to identify and solve business problems. The Managing SSAS Models course may be useful for Business Analysts who want to enhance their data management and analysis skills. It provides a foundation in managing and processing SSAS models, which can be valuable for handling large business datasets, performing data analysis, and developing business solutions. By mastering these skills, Business Analysts can improve the quality and impact of their analysis and make more informed business decisions.
Financial Analyst
Financial Analysts use financial data to make investment recommendations and evaluate the financial performance of companies. The Managing SSAS Models course may be useful for Financial Analysts who want to enhance their data management and analysis skills. It provides a foundation in managing and processing SSAS models, which can be valuable for handling large financial datasets, performing financial modeling, and analyzing financial trends and patterns. By mastering these skills, Financial Analysts can improve the accuracy and efficiency of their financial analysis and make more informed investment decisions.
Risk Analyst
Risk Analysts assess and manage risks in various industries, such as finance, insurance, and healthcare. The Managing SSAS Models course may be useful for Risk Analysts who want to enhance their data management and analysis skills. It provides a foundation in managing and processing SSAS models, which can be valuable for handling large risk-related datasets, analyzing risk factors, and developing risk management strategies. By mastering these skills, Risk Analysts can improve the accuracy and efficiency of their risk analysis and make more informed risk management decisions.
Data Visualization Specialist
Data Visualization Specialists use visual representations to communicate data insights and trends. The Managing SSAS Models course may be useful for Data Visualization Specialists who want to enhance their data management and analysis skills. It provides a foundation in managing and processing SSAS models, which can be valuable for handling large datasets, identifying data patterns, and creating effective data visualizations. By mastering these skills, Data Visualization Specialists can improve the quality and impact of their data visualizations and make data more accessible and understandable to stakeholders.
Actuary
Actuaries use mathematical and statistical methods to assess risk and uncertainty in areas such as insurance and finance. The Managing SSAS Models course may be useful for Actuaries who want to enhance their data management and analysis skills. It provides a foundation in managing and processing SSAS models, which can be valuable for handling large actuarial datasets, performing risk analysis, and developing actuarial models. By mastering these skills, Actuaries can improve the accuracy and efficiency of their actuarial analysis and make more informed risk assessments.
Data Scientist
Data Scientists use advanced statistical and machine learning techniques to extract insights from data and develop predictive models. The Managing SSAS Models course may be useful for aspiring Data Scientists who want to enhance their understanding of data management and optimization. It provides a foundation in managing and processing SSAS models, which can be valuable for working with large and complex datasets, ensuring data accuracy, and supporting the development of robust predictive models.
Market Researcher
Market Researchers conduct research to gather information about consumer behavior and market trends. The Managing SSAS Models course may be useful for Market Researchers who want to enhance their data management and analysis skills. It provides a foundation in managing and processing SSAS models, which can be valuable for handling large market research datasets, analyzing consumer behavior, and identifying market trends. By mastering these skills, Market Researchers can improve the quality and reliability of their research insights and make more informed decisions.
Software Engineer
Software Engineers design, develop, and maintain software applications. The Managing SSAS Models course may be useful for Software Engineers who work on data-intensive applications. It provides knowledge in managing SSAS models, which can be beneficial for optimizing data access, performance, and scalability. By understanding how to manage SSAS models effectively, Software Engineers can develop more efficient and reliable applications that meet the demanding requirements of modern data-driven systems.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Managing SSAS Models.
Provides a comprehensive guide to dimensional modeling, a key concept in data warehousing.
Provides a collection of articles on data warehousing and business intelligence by Ralph Kimball and Margy Ross.
Focuses on the tabular model in SQL Server Analysis Services 2017. It provides a detailed overview of the tabular model, including its architecture, data modeling, and query processing.
Focuses on the tabular model in SQL Server Analysis Services 2012. It provides a detailed overview of the tabular model, including its architecture, data modeling, and query processing.
Provides a comprehensive guide to SQL Server Analysis Services, covering both multidimensional and tabular models. It valuable resource for anyone who wants to learn more about managing SSAS models.
Focuses on the tabular model in SQL Server Analysis Services 2014. It provides a detailed overview of the tabular model, including its architecture, data modeling, and query processing.

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