Managing SSAS Models from Pluralsight

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.

What's inside

Syllabus

Course Overview

Multidimensional Models

Multidimensional Models Processing and Partitions

Tabular Models

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

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Managing SSAS Models

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