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Nº de artículo:
104313877
Optimizing DAX: Improving DAX performance in Microsoft Power BI and Analysis Services
90% of respondents would recommend this to a friend
Nº de artículo:
104313877
CLP 96047
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Learn how to locate performance bottlenecks, read the query plan and performance metrics, rewrite the slower part of an expression, and measure the performance improvements.
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What Stands Out
In-depth Techniques
The book offers advanced strategies for optimizing DAX performance, enabling users to enhance query efficiency and report responsiveness in Power BI and Analysis Services.
Practical Examples
With real-world scenarios and case studies, readers can directly apply learned techniques, making it easier to tackle common performance challenges effectively.
Expert Author Insights
Written by a seasoned expert, this edition incorporates the latest enhancements in DAX, ensuring readers benefit from cutting-edge information and proven methodologies.
Detalles de producto
- This book is the state of the art of optimizing DAX expressions in Power BI and Analysis Services semantic models. Learn how to locate performance bottlenecks, read the query plan and performance metrics, rewrite the slower part of an expression, and measure the performance improvements.Use tools like Power BI Desktop Performance Analyzer and DAX StudioUnderstand the DAX formula engineLearn characteristics of different storage engines (VertiPaq, DirectQuery over SQL)Read DAX query plansOptimize common DAX constructsSolve security performance issuesImprove DirectQuery response timeControl the data placement in composite models to avoid bottlenecksPrerequisites: proficiency in DAX and SQL (for DirectQuery), understanding of the Tabular engine used by semantic models, and familiarity with DAX Studio.
| Publisher | SQLBI Corp. |
| Publication date | April 30, 2024 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 816 pages |
| ISBN-10 | 173536522X |
| ISBN-13 | 978-1735365220 |
| Item Weight | 3.04 pounds (1.38 kg) |
| Dimensions | 7.5 x 1.84 x 9.25 inches (19.1 x 4.7 x 23.5 cm) |
Who Should Buy?
-
Data Analysts
Ideal for data analysts seeking to enhance their DAX skills and optimize report performance in Power BI.
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Power BI Users
Beneficial for Power BI users who need to improve their reports' efficiency and responsiveness through better DAX practices.
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Business Intelligence Developers
Great for BI developers looking to deepen their understanding of DAX for Analysis Services and improve data model performance.
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Beginners
Not suitable for complete beginners due to its advanced focus on DAX optimization and performance techniques.
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Data Modeling & Design Editorial Review
Optimizing DAX: Improving DAX performance in Microsoft Power BI and Analysis Services is an essential resource for anyone looking to advance their understanding of DAX. This second edition, published by SQLBI Corp., spans an impressive 816 pages and covers detailed strategies for enhancing performance in Microsoft Power BI and Analysis Services. The book's comprehensive approach not only aids novices in grasping complex concepts but also serves as a valuable reference for experienced users seeking to refine their skills. The clear language and organized layout significantly enhance the learning experience, making it a highly recommended addition to your technical library.
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ventajas
- Comprehensive strategies for DAX performance
- Valuable for both beginners and experts
- Clear and organized layout enhances learning
- In-depth coverage of Power BI and Analysis Services
- Extensive print length offers thorough insights
Contras
- May be dense for casual users unfamiliar with technical terms
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CLP 96047
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PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
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Fastest cross-border delivery
características y beneficios
- Master optimization techniques for DAX expressions in Power BI.
- Identify and resolve performance bottlenecks effectively.
- Utilize tools like Power BI Desktop Performance Analyzer and DAX Studio.
- Understand how to read DAX query plans and performance metrics.
- Gain insights into storage engines and improve DirectQuery response times.
- Designed for those proficient in DAX and SQL, enhancing their analysis skills.
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