ISBN: 9798868812873 - 96 common challenges in power query: practical solutions for mastering data transformation in excel and power bi (14 risultati)

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Paperback. Condizione: New. First Edition. This comprehensive guide is designed to address the most frequent and challenging issues faced by users of Power Query, a powerful data transformation tool integrated into Excel, Power BI, and Microsoft Azure. By tackling 96 real-world problems with practical, step-by-step solutions, this book is an essential resource for data analysts, Excel enthusiasts, and Power BI professionals. It aims to enhance your data transformation skills and improve efficiency in handling complex data sets.Structured into 12 chapters, the book covers specific areas of Power Query such as data extraction, referencing, column splitting and merging, sorting and filtering, and pivoting and unpivoting tables. You will learn to combine data from Excel files with varying column names, handle multi-row headers, perform advanced filtering, and manage missing values using techniques such as linear interpolation and K-nearest neighbors (K-NN) imputation. The book also dives into advanced Power Query functions such as Table.Group, List.Accumulate, and List.Generate, explored through practical examples such as calculating running totals and implementing complex grouping and iterative processes. Additionally, it covers crucial topics such as error-handling strategies, custom function creation, and the integration of Python and R with Power Query.In addition to providing explanations on the use of functions and the M language for solving real-world challenges, this book discusses optimization techniques for data cleaning processes and improving computational speed. It also compares the execution time of functions across different patterns and proposes the optimal approach based on these comparisons.In today's data-driven world, mastering Power Query is crucial for accurate and efficient data processing. But as data complexity grows, so do the challenges and pitfalls that users face. This book serves as your guide through the noise and your key to unlocking the full potential of Power Query. You'll quickly learn to navigate and resolve common issues, enabling you to transform raw data into actionable insights with confidence and precision. What You Will LearnMaster data extraction and transformation techniques for various Excel file structuresApply advanced filtering, sorting, and grouping methods to organize and analyze dataLeverage powerful functions such as Table.Group, List.Accumulate, and List.Generate for complex transformationsOptimize queries to execute fasterCreate and utilize custom functions to handle iterative processes and advanced list transformationImplement effective error-handling strategies, including removing erroneous rows and extracting error reasonsCustomize Power Query solutions to meet specific business needs and share custom functions across files Who This Book Is ForAspiring and developing data professionals using Power Query in Excel or Power BI who seek practical solutions to enhance their skills and streamline complex data transformation workflows.…

Taschenbuch. Condizione: Neu. 96 Common Challenges in Power Query | Practical Solutions for Mastering Data Transformation in Excel and Power BI | Omid Motamedisedeh | Taschenbuch | xxii | Englisch | 2025 | Apress | EAN 9798868812873 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Condizione: New. First Edition. This comprehensive guide is designed to address the most frequent and challenging issues faced by users of Power Query, a powerful data transformation tool integrated into Excel, Power BI, and Microsoft Azure. By tackling 96 real-world problems with practical, step-by-step solutions, this book is an essential resource for data analysts, Excel enthusiasts, and Power BI professionals. It aims to enhance your data transformation skills and improve efficiency in handling complex data sets.Structured into 12 chapters, the book covers specific areas of Power Query such as data extraction, referencing, column splitting and merging, sorting and filtering, and pivoting and unpivoting tables. You will learn to combine data from Excel files with varying column names, handle multi-row headers, perform advanced filtering, and manage missing values using techniques such as linear interpolation and K-nearest neighbors (K-NN) imputation. The book also dives into advanced Power Query functions such as Table.Group, List.Accumulate, and List.Generate, explored through practical examples such as calculating running totals and implementing complex grouping and iterative processes. Additionally, it covers crucial topics such as error-handling strategies, custom function creation, and the integration of Python and R with Power Query.In addition to providing explanations on the use of functions and the M language for solving real-world challenges, this book discusses optimization techniques for data cleaning processes and improving computational speed. It also compares the execution time of functions across different patterns and proposes the optimal approach based on these comparisons.In today's data-driven world, mastering Power Query is crucial for accurate and efficient data processing. But as data complexity grows, so do the challenges and pitfalls that users face. This book serves as your guide through the noise and your key to unlocking the full potential of Power Query. You'll quickly learn to navigate and resolve common issues, enabling you to transform raw data into actionable insights with confidence and precision. What You Will LearnMaster data extraction and transformation techniques for various Excel file structuresApply advanced filtering, sorting, and grouping methods to organize and analyze dataLeverage powerful functions such as Table.Group, List.Accumulate, and List.Generate for complex transformationsOptimize queries to execute fasterCreate and utilize custom functions to handle iterative processes and advanced list transformationImplement effective error-handling strategies, including removing erroneous rows and extracting error reasonsCustomize Power Query solutions to meet specific business needs and share custom functions across files Who This Book Is ForAspiring and developing data professionals using Power Query in Excel or Power BI who seek practical solutions to enhance their skills and streamline complex data transformation workflows.…

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This comprehensive guide is designed to address the most frequent and challenging issues faced by users of Power Query, a powerful data transformation tool integrated into Excel, Power BI, and Microsoft Azure.By tackling 96 real-world problems with practical, step-by-step solutions, this book is an essential resource for data analysts, Excel enthusiasts, and Power BI professionals.It aims to enhance your data transformation skills and improve efficiency in handling complex data sets.Structured into 12 chapters, the book covers specific areas of Power Query such as data extraction, referencing, column splitting and merging, sorting and filtering, and pivoting and unpivoting tables. You will learn to combine data from Excel files with varying column names, handle multi-row headers, perform advanced filtering, and manage missing values using techniques such as linear interpolation and K-nearest neighbors (K-NN) imputation.The book also dives into advanced Power Query functions such as Table.Group, List.Accumulate, and List.Generate, explored through practical examples such as calculating running totals and implementing complex grouping and iterative processes. Additionally, it covers crucial topics such as error-handling strategies, custom function creation, and the integration of Python and R with Power Query.In addition to providing explanations on the use of functions and the M language for solving real-world challenges, this book discusses optimization techniques for data cleaning processes and improving computational speed. It also compares the execution time of functions across different patterns and proposes the optimal approach based on these comparisons.In today's data-driven world, mastering Power Query is crucial for accurate and efficient data processing. But as data complexity grows, so do the challenges and pitfalls that users face. This book serves as your guide through the noise and your key to unlocking the full potential of Power Query. You'll quickly learn to navigate and resolve common issues, enabling you to transform raw data into actionable insights with confidence and precision.What You Will LearnMasterdata extraction and transformation techniques for various Excel file structuresApplyadvanced filtering, sorting, and grouping methods to organize and analyze dataLeveragepowerful functions such asTable.Group, List.Accumulate, and List.Generate for complex transformationsOptimize queries to execute fasterCreateand utilize custom functions to handle iterative processes and advanced list transformationImplementeffective error-handling strategies, including removing erroneous rows and extracting error reasonsCustomizePower Query solutions to meet specific business needs and share custom functions across filesWho This Book Is ForAspiring and developing data professionals using Power Query in Excel or Power BI who seek practical solutions to enhance their skills and streamline complex data transformation workflows 708 pp. Englisch.…

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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This comprehensive guide is designed to address the most frequent and challenging issues faced by users of Power Query, a powerful data transformation tool integrated into Excel, Power BI, and Microsoft Azure.By tackling 96 real-world problems with practical, step-by-step solutions, this book is an essential resource for data analysts, Excel enthusiasts, and Power BI professionals.It aims to enhance your data transformation skills and improve efficiency in handling complex data sets.Structured into 12 chapters, the book covers specific areas of Power Query such as data extraction, referencing, column splitting and merging, sorting and filtering, and pivoting and unpivoting tables. You will learn to combine data from Excel files with varying column names, handle multi-row headers, perform advanced filtering, and manage missing values using techniques such as linear interpolation and K-nearest neighbors (K-NN) imputation.The book also dives into advanced Power Query functions such as Table.Group, List.Accumulate, and List.Generate, explored through practical examples such as calculating running totals and implementing complex grouping and iterative processes. Additionally, it covers crucial topics such as error-handling strategies, custom function creation, and the integration of Python and R with Power Query.In addition to providing explanations on the use of functions and the M language for solving real-world challenges, this book discusses optimization techniques for data cleaning processes and improving computational speed. It also compares the execution time of functions across different patterns and proposes the optimal approach based on these comparisons.In today's data-driven world, mastering Power Query is crucial for accurate and efficient data processing. But as data complexity grows, so do the challenges and pitfalls that users face. This book serves as your guide through the noise and your key to unlocking the full potential of Power Query. You'll quickly learn to navigate and resolve common issues, enabling you to transform raw data into actionable insights with confidence and precision.What You Will LearnMasterdata extraction and transformation techniques for various Excel file structuresApplyadvanced filtering, sorting, and grouping methods to organize and analyze dataLeveragepowerful functions such asTable.Group, List.Accumulate, and List.Generate for complex transformationsOptimize queries to execute fasterCreateand utilize custom functions to handle iterative processes and advanced list transformationImplementeffective error-handling strategies, including removing erroneous rows and extracting error reasonsCustomizePower Query solutions to meet specific business needs and share custom functions across filesWho This Book Is ForAspiring and developing data professionals using Power Query in Excel or Power BI who seek practical solutions to enhance their skills and streamline complex data transformation workflows.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This comprehensive guide is designed to address the most frequent and challenging issues faced by users of Power Query, a powerful data transformation tool integrated into Excel, Power BI, and Microsoft Azure. By tackling 96 real-world problems with practical, step-by-step solutions, this book is an essential resource for data analysts, Excel enthusiasts, and Power BI professionals. It aims to enhance your data transformation skills and improve efficiency in handling complex data sets.Structured into 12 chapters, the book covers specific areas of Power Query such as data extraction, referencing, column splitting and merging, sorting and filtering, and pivoting and unpivoting tables. You will learn to combine data from Excel files with varying column names, handle multi-row headers, perform advanced filtering, and manage missing values using techniques such as linear interpolation and K-nearest neighbors (K-NN) imputation. The book also dives into advanced Power Query functions such as Table.Group, List.Accumulate, and List.Generate, explored through practical examples such as calculating running totals and implementing complex grouping and iterative processes. Additionally, it covers crucial topics such as error-handling strategies, custom function creation, and the integration of Python and R with Power Query.In addition to providing explanations on the use of functions and the M language for solving real-world challenges, this book discusses optimization techniques for data cleaning processes and improving computational speed. It also compares the execution time of functions across different patterns and proposes the optimal approach based on these comparisons.In today's data-driven world, mastering Power Query is crucial for accurate and efficient data processing. But as data complexity grows, so do the challenges and pitfalls that users face. This book serves as your guide through the noise and your key to unlocking the full potential of Power Query. You'll quickly learn to navigate and resolve common issues, enabling you to transform raw data into actionable insights with confidence and precision.What You Will LearnMaster data extraction and transformation techniques for various Excel file structuresApply advanced filtering, sorting, and grouping methods to organize and analyze dataLeverage powerful functions such as Table.Group, List.Accumulate, and List.Generate for complex transformationsOptimize queries to execute fasterCreate and utilize custom functions to handle iterative processes and advanced list transformationImplement effective error-handling strategies, including removing erroneous rows and extracting error reasonsCustomize Power Query solutions to meet specific business needs and share custom functions across filesWho This Book Is ForAspiring and developing data professionals using Power Query in Excel or Power BI who seek practical solutions to enhance their skills and streamline complex data transformation workflowsSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 708 pp. Englisch.…