Microsoft Power Bi Demystified
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Microsoft Power Bi Demystified
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Author : Elijah Falode
language : en
Publisher:
Release Date : 2021-02
Microsoft Power Bi Demystified written by Elijah Falode and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02 with categories.
Power Bi Demystified enables you to master business intelligence and leverage the Power BI toolsets. It covers important concepts such as installation, creating data models, building basic dashboards, as well as visualizations so you make informed business decisions.Whether you are a business owner, analyst, or financial analyst, you would like to collate data easily, analyze it, and share it with your colleague in real-time. You would want to do this with software that is easy to operate and publishes data with good visuals in a way that you can understand. Microsoft Power BI allows you to get data from different sources, analyze it, and gives you insights on how your business performance. You can share workspaces with your colleagues, and they can easily access your business reports. It makes collaboration easy. In this book, you will find out what Power BI is, the features, the benefits, and the functions. This book also discusses the different versions of Microsoft Power BI - Power BI Server, Power BI Desktop, Power BI Pro, Power BI Premium, and Power BI Report Server. You will get to know the differences between these versions, their features, benefits, and how to set them up. You can operate these Power BI versions both on cloud and on-premise depending on the features of the versions. You can also share your workspace with as many people as you want. You will get to know which Power BI version best suits your company's needs.Power BI also allows you to ask questions about your data and gives you answers to your question. This is due to the artificial intelligence feature. It also provides you the insight you need to make informed decisions that impact your company's bottom line in a positive way. Microsoft Power BI can also integrate with other on-premise apps on your device so as to enable you to collate data easily. It operates with natural language so that you won't need the help of an expert to operate. If you are looking for an upgrade from your Excel, Power BI is the upgrade you need. This book will guide you on everything you need to know about Power BI, and it gives an easy step-by-step guide on how to install, set-up, and use it. Kindly order your copy to know more about this wonderful data intelligence tool!
Power Bi Dax Simplified
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Author : Reza Rad
language : en
Publisher: Independently Published
Release Date : 2021-07-17
Power Bi Dax Simplified written by Reza Rad and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-17 with categories.
DAX is the language of data analysis in Microsoft Power BI, Azure Analysis Services, and Excel Power Pivot. DAX is a powerful language that can quickly empower you to analyze year-over-year or rolling 12 months calculations. It is rare to find an analytics solution using Microsoft technologies (especially Power BI) that doesn't require some calculations to be written by DAX. As a Power BI (or Microsoft BI) developer, it is essential to learn this language and master it. Learning a language is not just learning the structure and functions. It is learning how, where, and when to use it so that you can solve real-world problems with it. In my training and consulting experience on Power BI, I realized that DAX is the weak point for many Power BI users. DAX itself is not a complex language. It is merely a language of expression. The complexity of learning DAX is not the formula or the functions. It is how to use it in real-world scenarios and how it performs on a dataset or visual. I have been writing many blogs about DAX for many years. My blog articles are all coming from my experience working with Power BI. I found it helpful to compile them all in a book. Because my blog articles practically explain things, I thought it better to title it as a practical way of learning DAX by examples. Indeed, there are books, articles, and Microsoft documentation on how each function works where and how. However, learning these through an example would bring a new way of understanding it. A good analytics solution is a combined outcome of a good data model, good data preparation, and good analytics and calculations. I have written another book about the Basics of modeling in Power BI. This book is covering the calculation and DAX aspects of it. This book is for you if you are building a Power BI solution. Even if you are just visualizing the data, calculations are an essential part of analytics. You do need to have the calculation ready before visualizing it. This is not a book to explain every single function in DAX. The approach in this book is to have practical examples. Every chapter is based on real-world examples of using a combination of functions to solve a challenge. You can start from any chapter and finish at any chapter. The order of chapters suggested in this book is just a guideline to help you have a smooth flow of topics. Each chapter can be read without needing other chapters. Examples of this book are designed in a way that you can use the learning straight away in your Power BI file.
Power Bi Dax Simplified
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Author : Reza Rad
language : en
Publisher: RADACAD Systems Limited
Release Date : 2021-07-18
Power Bi Dax Simplified written by Reza Rad and has been published by RADACAD Systems Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-18 with Computers categories.
DAX is the language of data analysis in Microsoft Power BI, Azure Analysis Services, and Excel Power Pivot. DAX is a powerful language that can quickly empower you to analyze year-over-year or rolling 12 months calculations. It is rare to find an analytics solution using Microsoft technologies (especially Power BI) that doesn’t require some calculations to be written by DAX. As a Power BI (or Microsoft BI) developer, it is essential to learn this language and master it. Learning a language is not just learning the structure and functions. It is learning how, where, and when to use it so that you can solve real-world problems with it. In my training and consulting experience on Power BI, I realized that DAX is the weak point for many Power BI users. DAX itself is not a complex language. It is merely a language of expression. The complexity of learning DAX is not the formula or the functions. It is how to use it in real-world scenarios and how it performs on a dataset or visual. I have been writing many blogs about DAX for many years. My blog articles are all coming from my experience working with Power BI. I found it helpful to compile them all in a book. Because my blog articles practically explain things, I thought it better to title it as a practical way of learning DAX by examples. Indeed, there are books, articles, and Microsoft documentation on how each function works where and how. However, learning these through an example would bring a new way of understanding it. A good analytics solution is a combined outcome of a good data model, good data preparation, and good analytics and calculations. I have written another book about the Basics of modeling in Power BI. This book is covering the calculation and DAX aspects of it. This book is for you if you are building a Power BI solution. Even if you are just visualizing the data, calculations are an essential part of analytics. You do need to have the calculation ready before visualizing it. This is not a book to explain every single function in DAX. The approach in this book is to have practical examples. Every chapter is based on real-world examples of using a combination of functions to solve a challenge. You can start from any chapter and finish at any chapter. The order of chapters suggested in this book is just a guideline to help you have a smooth flow of topics. Each chapter can be read without needing other chapters. Examples of this book are designed in a way that you can use the learning straight away in your Power BI file.
Nonprofit Digital Transformation Demystified
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Author : Ali A. Gooyabadi
language : en
Publisher: Springer Nature
Release Date : 2023-12-14
Nonprofit Digital Transformation Demystified written by Ali A. Gooyabadi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-14 with Business & Economics categories.
In this compelling journey into Digital Transformation (DT) tailored for Nonprofit Organizations (NPOs), this book unravels the intricacies of technological integration. Grounded in over one hundred years of extensive research by authors and the editor, real-world examples, and using the San Diego Diplomacy Council (SDDC) as a primary case study, it introduces a tailored Digital Maturity Model (DMM) for NPOs. At the heart of this transformation are three pivotal pillars: Culture, Ethics, and Security. Part I sets the stage, painting a landscape of how NPOs have intertwined with the digital realm. As technology's omnipresence surges, Chapter Two offers a panorama of DT's historical and contemporary intersections with the nonprofit sector. The subsequent chapter emphasizes the stark reality: for many NPOs, digital adaptation is no longer about relevance but survival. Part II delves into the comparative digital strategies of NPOs and their for-profitcounterparts in Chapter 4, highlighting the need for tailored approaches. Chapter 5 explores the Nonprofit Digital Maturity Model (NDMM), using the San Diego Diplomacy Council as a focal point. The journey then unfolds further in Chapter 6, which casts a spotlight on the strategic execution of DT in NPOs, weaving in comprehensive analyses to dissect the forces shaping an NPO's digital trajectory. Part III dives deeper, with Chapter 7 laying the foundation of the NDMM. The subsequent chapter meticulously unpacks the NDMM, culminating in Chapter 9, which emphasizes the pillars of DT—Culture, Ethics, and Security—forming the essence of the Nonprofit DT Strategic Framework (NDTSF). This chapter also crafts a tailored roadmap for NPOs, charting a comprehensive DT course. Concluding with a forward-looking stance, Chapter 10 thrusts readers into the enthralling fusion of AI and NPOs, exploring transformative potentials and ethical concerns. Through real-world cases, it positions AI as both a potent tool and a vital dialogue for NPOs. Essentially, this book equips NPOs with tools like the NDMM and insights from successful DT narratives. It seeks to provide a practical guide for nonprofits through their DT journey, ensuring they harness technology ethically and effectively without compromising their core values.
Big Data Demystified
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Author : David Stephenson
language : en
Publisher: Pearson UK
Release Date : 2018-02-19
Big Data Demystified written by David Stephenson and has been published by Pearson UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-19 with Business & Economics categories.
The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business.
Business Intelligence Demystified
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Author : Anoop Kumar V K
language : en
Publisher: BPB Publications
Release Date : 2021-09-25
Business Intelligence Demystified written by Anoop Kumar V K and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-25 with Computers categories.
Clear your doubts about Business Intelligence and start your new journey KEY FEATURES ● Includes successful methods and innovative ideas to achieve success with BI. ● Vendor-neutral, unbiased, and based on experience. ● Highlights practical challenges in BI journeys. ● Covers financial aspects along with technical aspects. ● Showcases multiple BI organization models and the structure of BI teams. DESCRIPTION The book demystifies misconceptions and misinformation about BI. It provides clarity to almost everything related to BI in a simplified and unbiased way. It covers topics right from the definition of BI, terms used in the BI definition, coinage of BI, details of the different main uses of BI, processes that support the main uses, side benefits, and the level of importance of BI, various types of BI based on various parameters, main phases in the BI journey and the challenges faced in each of the phases in the BI journey. It clarifies myths about self-service BI and real-time BI. The book covers the structure of a typical internal BI team, BI organizational models, and the main roles in BI. It also clarifies the doubts around roles in BI. It explores the different components that add to the cost of BI and explains how to calculate the total cost of the ownership of BI and ROI for BI. It covers several ideas, including unconventional ideas to achieve BI success and also learn about IBI. It explains the different types of BI architectures, commonly used technologies, tools, and concepts in BI and provides clarity about the boundary of BI w.r.t technologies, tools, and concepts. The book helps you lay a very strong foundation and provides the right perspective about BI. It enables you to start or restart your journey with BI. WHAT YOU WILL LEARN ● Builds a strong conceptual foundation in BI. ● Gives the right perspective and clarity on BI uses, challenges, and architectures. ● Enables you to make the right decisions on the BI structure, organization model, and budget. ● Explains which type of BI solution is required for your business. ● Applies successful BI ideas. WHO THIS BOOK IS FOR This book is a must-read for business managers, BI aspirants, CxOs, and all those who want to drive the business value with data-driven insights. TABLE OF CONTENTS 1. What is Business Intelligence? 2. Why do Businesses need BI? 3. Types of Business Intelligence 4. Challenges in Business Intelligence 5. Roles in Business Intelligence 6. Financials of Business Intelligence 7. Ideas for Success with BI 8. Introduction to IBI 9. BI Architectures 10. Demystify Tech, Tools, and Concepts in BI
Cloud Forensics Demystified
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Author : Ganesh Ramakrishnan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-02-22
Cloud Forensics Demystified written by Ganesh Ramakrishnan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-22 with Computers categories.
Enhance your skills as a cloud investigator to adeptly respond to cloud incidents by combining traditional forensic techniques with innovative approaches Key Features Uncover the steps involved in cloud forensic investigations for M365 and Google Workspace Explore tools and logs available within AWS, Azure, and Google for cloud investigations Learn how to investigate containerized services such as Kubernetes and Docker Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs organizations embrace cloud-centric environments, it becomes imperative for security professionals to master the skills of effective cloud investigation. Cloud Forensics Demystified addresses this pressing need, explaining how to use cloud-native tools and logs together with traditional digital forensic techniques for a thorough cloud investigation. The book begins by giving you an overview of cloud services, followed by a detailed exploration of the tools and techniques used to investigate popular cloud platforms such as Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP). Progressing through the chapters, you’ll learn how to investigate Microsoft 365, Google Workspace, and containerized environments such as Kubernetes. Throughout, the chapters emphasize the significance of the cloud, explaining which tools and logs need to be enabled for investigative purposes and demonstrating how to integrate them with traditional digital forensic tools and techniques to respond to cloud security incidents. By the end of this book, you’ll be well-equipped to handle security breaches in cloud-based environments and have a comprehensive understanding of the essential cloud-based logs vital to your investigations. This knowledge will enable you to swiftly acquire and scrutinize artifacts of interest in cloud security incidents. What you will learn Explore the essential tools and logs for your cloud investigation Master the overall incident response process and approach Familiarize yourself with the MITRE ATT&CK framework for the cloud Get to grips with live forensic analysis and threat hunting in the cloud Learn about cloud evidence acquisition for offline analysis Analyze compromised Kubernetes containers Employ automated tools to collect logs from M365 Who this book is for This book is for cybersecurity professionals, incident responders, and IT professionals adapting to the paradigm shift toward cloud-centric environments. Anyone seeking a comprehensive guide to investigating security incidents in popular cloud platforms such as AWS, Azure, and GCP, as well as Microsoft 365, Google Workspace, and containerized environments like Kubernetes will find this book useful. Whether you're a seasoned professional or a newcomer to cloud security, this book offers insights and practical knowledge to enable you to handle and secure cloud-based infrastructure.
Mastering Power Query In Power Bi And Excel
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Author : Reza Rad
language : en
Publisher: RADACAD Systems Limited
Release Date : 2021-08-27
Mastering Power Query In Power Bi And Excel written by Reza Rad and has been published by RADACAD Systems Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-27 with Computers categories.
Any data analytics solution requires data population and preparation. With the rise of data analytics solutions these years, the need for this data preparation becomes even more essential. Power BI is a helpful data analytics tool that is used worldwide by many users. As a Power BI (or Microsoft BI) developer, it is essential to learn how to prepare the data in the right shape and format needed. You need to learn how to clean the data and build it in a structure that can be modeled easily and used high performant for visualization. Data preparation and transformation is the backend work. If you consider building a BI system as going to a restaurant and ordering food. The visualization is the food you see on the table nicely presented. The quality, the taste, and everything else come from the hard work in the kitchen. The part that you don’t see or the backend in the world of Power BI is Power Query. You may already be familiar with other data preparation and transformation technologies, such as T-SQL, SSIS, Azure Data Factory, Informatica, etc. Power Query is a data transformation engine capable of preparing the data in the format you need. The good news is that to learn Power Query; you don’t need to know programming. Power Query is for citizen data engineers. However, this doesn’t mean that Power Query is not capable of performing advanced transformation. Power Query exists in many Microsoft tools and services such as Power BI, Excel, Dataflows, Power Automate, Azure Data Factory, etc. Through the years, this engine became more powerful. These days, we can say this is essential learning for anyone who wants to do data analysis with Microsoft technology to learn Power Query and master it. We have been working with Power Query since the very early release of that in 2013, named Data Explorer, and wrote blog articles and published videos about it. The number of articles we published under this subject easily exceeds hundreds. Through those articles, some of the fundamentals and key learnings of Power Query are explained. We thought it is good to compile some of them in a book series. A good analytics solution combines a good data model, good data preparation, and good analytics and calculations. Reza has written another book about the Basics of modeling in Power BI and a book on Power BI DAX Simplified. This book is covering the data preparation and transformations aspects of it. This book series is for you if you are building a Power BI solution. Even if you are just visualizing the data, preparation and transformations are an essential part of analytics. You do need to have the cleaned and prepared data ready before visualizing it. This book is compiled into a series of two books, which will be followed by a third book later; Getting started with Power Query in Power BI and Excel (already available to be purchased separately) Mastering Power Query in Power BI and Excel (This book) Power Query dataflows (will be published later) This book deeps dive into real-world challenges of data transformation. It starts with combining data sources and continues with aggregations and fuzzy operations. The book covers advanced usage of Power Query in scenarios such as error handling and exception reports, custom functions and parameters, advanced analytics, and some helpful table and list functions. The book continues with some performance tuning tips and it also explains the Power Query formula language (M) and the structure of it and how to use it in practical solutions. Although this book is written for Power BI and all the examples are presented using the Power BI. However, the examples can be easily applied to Excel, Dataflows, and other tools and services using Power Query.
Microsoft Power Bi 2021
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Author : Tech Demystified
language : en
Publisher:
Release Date : 2021
Microsoft Power Bi 2021 written by Tech Demystified and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Cloud Data Architectures Demystified
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Author : Ashok Boddeda
language : en
Publisher: BPB Publications
Release Date : 2023-09-27
Cloud Data Architectures Demystified written by Ashok Boddeda and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-27 with Computers categories.
Learn using Cloud data technologies for improving data analytics and decision-making capabilities for your organization KEY FEATURES ● Get familiar with the fundamentals of data architecture and Cloud computing. ● Design and deploy enterprise data architectures on the Cloud. ● Learn how to leverage AI/ML to gain insights from data. DESCRIPTION Cloud data architectures are a valuable tool for organizations that want to use data to make better decisions. By understanding the different components of Cloud data architectures and the benefits they offer, organizations can select the right architecture for their needs. This book is a holistic guide for using Cloud data technologies to ingest, transform, and analyze data. It covers the entire data lifecycle, from collecting data to transforming it into actionable insights. The readers will get a comprehensive overview of Cloud data technologies and AI/ML algorithms. The readers will learn how to use these technologies and algorithms to improve decision-making, optimize operations, and identify new opportunities. By the end of the book, you will have a comprehensive understanding of loud data architectures and the confidence to implement effective solutions that drive business success. WHAT YOU WILL LEARN ● Learn the fundamental principles of data architecture. ● Understand the working of different cloud ecosystems such as AWS, Azure & GCP. ● Explore different Snowflake data services. ● Learn how to implement data governance policies and procedures. ● Use artificial intelligence (AI) and machine learning (ML) to gain insights from data. WHO THIS BOOK IS FOR This book is for executives, IT professionals, and data enthusiasts who want to learn more about Cloud data architectures. It does not require any prior experience, but a basic understanding of data concepts and technology landscapes will be helpful. TABLE OF CONTENTS 1. Data Architectures and Patterns 2. Enterprise Data Architectures 3. Cloud Fundamentals 4. Azure Data Eco-system 5. AWS Data Services 6. Google Data Services 7. Snowflake Data Eco-system 8. Data Governance 9. Data Intelligence: AI-ML Modeling and Services