Passing the PL-300 exam with 2025 revisions isn't just about memorization—you need to thoroughly know the basic features of Power BI. However, data professionals must also apply best practices that make Power BI solutions scalable and future-proof. The first half of this go-to companion by Paul Turley provides complete coverage of the PL-300 exam objectives for desktop and self-service users, while the second half equips you with necessary best practices and practical skills for real-world success after the exam. Immerse yourself in exam prep, practice questions, and hands-on references for applying time-tested design patterns in Power BI. You'll learn how to transform raw data into actionable insights using Power Query, DAX, and dimensional modeling. Perfect for data analysts and business intelligence developers, this guide shows how Power BI fits into modern data platforms like Azure and Microsoft Fabric, preparing you for the exam and for the evolving world of data engineering. Understand PL-300 exam topics and key prep strategies Discover scalable, enterprise-grade Power BI solutions using best practices Learn how to correctly apply Power Query, DAX, and visualizations in real-world scenarios, with real business data Uncover how to build for scale See how Power BI fits into modern architectures like Azure and Microsoft Fabric

Make smarter business decisions with Microsoft PowerBI Microsoft PowerBI For Dummies gives you the foundation you need to use this powerful software platform to manage your data and gather insight for making better decisions. With PowerBI, you can visualize, model, and interpret large datasets, quickly revealing insights that once took weeks to dig out. This book takes you through the basics of getting your data ready, preparing your analysis, and creating reports. Then, you'll dig into more advanced features using DAX—the PowerBI programming language—even if you have no prior programming experience. This edition covers the latest updates to the software, including AI integration, enhanced customization, and improved real-time collaboration tools. Transform raw data into meaningful information and make data-driven decisions Import datasets and create dashboards, visualizations, and reports Use the Copilot AI assistant to speed up workflows and simplify tasks Integrate PowerBI with other Microsoft services like Excel and Azure Businesses of all sizes can use PowerBI to manage their data. With Microsoft PowerBI For Dummies, you can quickly and easily set up PowerBI, learn the fundamentals, and handle complex reporting.

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 Learn Master data extraction and transformation techniques for various Excel file structures Apply advanced filtering, sorting, and grouping methods to organize and analyze data Leverage powerful functions such as Table.Group, List.Accumulate, and List.Generate for complex transformations Optimize queries to execute faster Create and utilize custom functions to handle iterative processes and advanced list transformation Implement effective error-handling strategies, including removing erroneous rows and extracting error reasons Customize Power Query solutions to meet specific business needs and share custom functions across files Who This Book Is For Aspiring 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

Prepare for Microsoft Exam DP-100 and demonstrate your real-world knowledge of managing data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python, Azure Machine Learning, and MLflow. Designed for professionals with data science experience, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Scientist Associate level. Focus on the expertise measured by these objectives: Design and prepare a machine learning solution Explore data and train models Prepare a model for deployment Deploy and retrain a model This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience in designing and creating a suitable working environment for data science workloads, training machine learning models, and managing, deploying, and monitoring scalable machine learning solutions About the Exam Exam DP-100 focuses on knowledge needed to design and prepare a machine learning solution, manage an Azure Machine Learning workspace, explore data and train models, create models by using the Azure Machine Learning designer, prepare a model for deployment, manage models in Azure Machine Learning, deploy and retrain a model, and apply machine learning operations (MLOps) practices. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Scientist Associate credential, demonstrating your expertise in applying data science and machine learning to implement and run machine learning workloads on Azure, including knowledge and experience using Azure Machine Learning and MLflow.

Microsoft Power BI Performance Best Practices is your comprehensive guide to designing, optimizing, and scaling Power BI solutions. By understanding data modeling, DAX formulation, and report design, you will be able to enhance the efficiency and performance of your Power BI systems, ensuring that they meet the demands of modern data-driven decision-making. What this Book will help me do Understand and apply techniques for high-efficient data modeling to enhance Power BI performance and manage large datasets. Identify and resolve performance bottlenecks in Power BI reports and dashboards using tools like DAX Studio and VertiPaq Analyzer. Implement governance and monitoring strategies for Power BI performance to ensure robust and scalable systems. Gain expertise in leveraging Power BI Premium and Azure for handling larger scale data and integrations. Adopt best practices for designing, implementing row-level security, and optimizing queries for efficient operations. Author(s) Thomas LeBlanc and Bhavik Merchant are experienced professionals in the field of Business Intelligence and Power BI. Thomas brings over 30 years of IT expertise as a Business Intelligence Architect, ensuring practical and effective solutions for BI challenges. Bhavik is a recognized expert in enterprise-grade Power BI implementation. Together, they share actionable insights and strategies to make Power BI solutions advanced and highly performant. Who is it for? This book is ideal for data analysts, BI developers, and data professionals seeking to elevate their Power BI implementations. If you are proficient with the essentials of Power BI and aim to excel in optimizing its performance and scalability, this book will guide you to achieve those goals efficiently and effectively.

In today's fast-paced world, more and more organizations require rapid application development with reduced development costs and increased productivity. This practical guide shows application developers how to use PowerApps, Microsoft's no-code/low-code application framework that helps developers speed up development, modernize business processes, and solve tough challenges. Author Arpit Shrivastava provides a comprehensive overview of designing and building cost-effective applications with Microsoft Power Apps. You'll learn fundamental concepts behind low-code and no-code development, how to build applications using pre-built and blank templates, how to design an app using Copilot AI and drag and drop PowerPoint-like controls, use Excel-like expressions to write business logic for an app, and integrate apps with external data sources. With this book, you'll: Learn the importance of no-code/low-code application development Design mobile/tablet (canvas apps) applications using pre-built and blank templates Design web applications (model-driven apps) using low-code, no-code, and pro-code components Integrate PowerApps with external applications Learn basic coding concepts like JavaScript, Power Fx, and C# Apply best practices to customize Dynamics 365 CE applications Dive into Azure DevOps and ALM concepts to automate application deployment

Turn the avalanche of raw data from Azure Data Explorer, Azure Monitor, Microsoft Sentinel, and other Microsoft data platforms into actionable intelligence with KQL (Kusto Query Language). Experts in information security and analysis guide you through what it takes to automate your approach to risk assessment and remediation, speeding up detection time while reducing manual work using KQL. This accessible and practical guidedesigned for a broad range of people with varying experience in KQLwill quickly make KQL second nature for information security. Solve real problems with Kusto Query Language and build your competitive advantage: Learn the fundamentals of KQLwhat it is and where it is used Examine the anatomy of a KQL query Understand why data summation and aggregation is important See examples of data summation, including count, countif, and dcount Learn the benefits of moving from raw data ingestion to a more automated approach for security operations Unlock how to write efficient and effective queries Work with advanced KQL operators, advanced data strings, and multivalued strings Explore KQL for day-to-day admin tasks, performance, and troubleshooting Use KQL across Azure, including app services and function apps Delve into defending and threat hunting using KQL Recognize indicators of compromise and anomaly detection Learn to access and contribute to hunting queries via GitHub and workbooks via Microsoft Entra ID

Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization. Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity. Use Power BI to build a good data model for AI Demystify the AI terminology that you need to know Identify AI project roles, responsibilities, and teams for AI Use AI models, including supervised machine learning techniques Develop and train models in Azure ML for consumption in Power BI Improve your business AI maturity level with Power BI Use the AI feedback loop to help you get started with the next project

Learn and explore the capabilities of Microsoft Fabric, the latest evolution in cloud analytics suites. This book will help you understand how users can leverage Microsoft Office equivalent experience for performing data management and advanced analytics activity. The book starts with an overview of the analytics evolution from on premises to cloud infrastructure as a service (IaaS), platform as a service (PaaS), and now software as a service (SaaS version) and provides an introduction to Microsoft Fabric. You will learn how to provision Microsoft Fabric in your tenant along with the key capabilities of SaaS analytics products and the advantage of using Fabric in the enterprise analytics platform. OneLake and Lakehouse for data engineering is discussed as well as OneLake for data science. Author Ghosh teaches you about data warehouse offerings inside Microsoft Fabric and the new data integration experience which brings Azure Data Factory and Power Query Editor of Power BI together in a single platform. Also demonstrated is Real-Time Analytics in Fabric, including capabilities such as Kusto query and database. You will understand how the new event stream feature integrates with OneLake and other computations. You also will know how to configure the real-time alert capability in a zero code manner and go through the Power BI experience in the Fabric workspace. Fabric pricing and its licensing is also covered. After reading this book, you will understand the capabilities of Microsoft Fabric and its Integration with current and upcoming Azure OpenAI capabilities. What You Will Learn Build OneLake for all data like OneDrive for Microsoft Office Leverage shortcuts for cross-cloud data virtualization in Azure and AWS Understand upcoming OpenAI integration Discover new event streaming and Kusto query inside Fabric real-time analytics Utilize seamless tooling for machine learning and data science Who This Book Is For Citizen users and experts in the data engineering and data science fields, along with chief AI officers

This book, "Extending Dynamics 365 Finance and Operations Apps with Power Platform", is your comprehensive guide to mastering the integration of Power Platform tools with Dynamics 365 Finance and Operations (F&O). Dive into practical scenarios and learn how to leverage tools like Power Automate, Power Apps, and Power BI to maximize efficiency and streamline operations. What this Book will help me do Learn to extend Dynamics 365 F&O functionalities using Dataverse and other Power Platform tools. Understand practical integration techniques including dual-write and virtual tables. Explore automation of workflows and tasks with Power Automate in an F&O context. Utilize Power BI for creating insightful reports with Azure Data Lake Storage. Gain insights into governance and lifecycle management for the Power Platform in your F&O projects. Author(s) Adrià Ariste Santacreu, a seasoned expert in Power Platform and Microsoft Dynamics, shares his rich industry experience through this book. He has implemented numerous real-world solutions integrating Power Platform with Dynamics 365, and his expertise is evident in the clear and actionable guidance provided herein. Adrià's approach helps both novices and experts discover the true potential of these technologies. Who is it for? This book is ideal for Dynamics 365 Finance & Operations consultants and Power Platform professionals seeking to extend their knowledge and capabilities. It is particularly suitable for technical and solutions architects who aim to implement innovative solutions for business requirements using the Power Platform. If you aim to leverage low-code/no-code tools for dynamics projects, this book has you covered.

Microsoft Power Platform Enterprise Architecture is your essential guide to designing powerful, enterprise-grade solutions using Microsoft technology. This thoroughly structured book equips you with architectural insights, methodologies, and best practices necessary to optimize solutions using the Microsoft Power Platform and integrate them seamlessly with M365 and Azure. What this Book will help me do Design robust enterprise solutions leveraging Microsoft Power Platform and Dynamics 365. Integrate Power Platform tools with Microsoft 365 and Azure effectively for comprehensive solutions. Implement advanced security, extensibility, and lifecycle management methodologies. Migrate and manage data efficiently within the Power Platform ecosystem. Overcome architectural challenges in multi-system integration using proven techniques. Author(s) Robert Rybaric, the author of this book, is an experienced enterprise architect specializing in Microsoft technologies. With years of expertise in designing enterprise systems, Robert brings practical insights into crafting effective solutions using Microsoft Power Platform. His approach emphasizes clarity and practicality, ensuring concepts are both illustrative and applicable for readers. Who is it for? This book is ideal for enterprise architects and technical decision-makers aiming to design and deploy complex solutions using the Microsoft Power Platform. It is tailored for professionals with familiarity with Microsoft Power Platform and Azure services who wish to refine their skills in enterprise architecture to meet growing business demands efficiently.

This book provides all you need to find data from external sources and load and transform that data into Power BI where you can mine it for business insights and a competitive edge. This ranges from connecting to corporate databases such as Azure SQL and SQL Server to file-based data sources, and cloud- and web-based data sources. The book also explains the use of Direct Query and Live Connect to establish instant connections to databases and data warehouses and avoid loading data. The book provides detailed guidance on techniques for transforming inbound data into normalized data sets that are easy to query and analyze. This covers data cleansing, data modification, and standardization as well as merging source data into robust data structures that can feed into your data model. You will learn how to pivot and transpose data and extrapolate missing values as well as harness external programs such as R and Python into a Power Query data flow. You also will see how to handle errors in source data and extend basic data ingestion to create robust and parameterized data load and transformation processes. Everything in this book is aimed at helping you deliver compelling and interactive insight with remarkable ease using Power BI’s built-in data load and transformation tools. What You Will Learn Connect Power BI to a range of external data sources Prepare data from external sources for easy analysis in Power BI Cleanse data from duplicates, outliers, and other bad values Make live connections from which to refresh data quickly and easily Apply advanced techniques to interpolate missing data Who This Book Is For All Power BI users from beginners to super users. Any user of the world’s leading dashboarding toolcan leverage the techniques explained in this book to turbo-charge their data preparation skills and learn how a wide range of external data sources can be harnessed and loaded into Power BI to drive their analytics. No previous knowledge of working with data, databases, or external data sources is required—merely the need to find, transform, and load data into Power BI..

Microsoft Power Platform Solution Architect's Handbook is your definitive resource for mastering Enterprise-grade solution architecture using Microsoft Power Platform. By covering both practical examples and theoretical best practices, this book ensures you are well-prepared to tackle real-world challenges and excel in the PL-600 certification exam. What this Book will help me do Master the essential practices of solution architecture for optimal design. Develop secure integrations and data strategies for cutting-edge applications. Learn sophisticated lifecycle and compliance management using Azure DevOps. Build impactful, compliant, and flexible solutions using Power Platform. Prepare effectively for the PL-600 certification exam and excel in your field. Author(s) Hugo Herrera is a respected technology expert specializing in solution architecture and enterprise-grade IT solutions, particularly with Microsoft Power Platform. Drawing from years of experience, Hugo emphasizes practical, actionable strategies to elevate professionals. Through this book, Hugo shares his deep expertise and makes complex concepts accessible. Who is it for? This book is perfect for solution architects, enterprise architects, IT consultants, and analysts focused on Microsoft Power Platform and related technologies. It provides insight and tools for professionals looking to enhance their competencies, advance their careers, and prepare for the PL-600 exam. The reader should have a solid understanding of Power Platform fundamentals.

Discover how to enhance your data analysis with 'Artificial Intelligence with Power BI,' a resource designed to teach you how to leverage Power BI's AI capabilities. You will learn practical methods for enriching your analytics with forecasting, anomaly detection, and machine learning, equipping you to create intelligent, insightful BI reports. What this Book will help me do Learn how to apply AI capabilities such as forecasting and anomaly detection to enrich your reports and drive actionable insights. Explore data preparation techniques optimized for AI, ensuring your datasets are structured for advanced analytics. Develop skills to integrate Azure Machine Learning and Cognitive Services into Power BI, expanding your analytical toolset. Understand how to build Q&A interfaces and integrate Natural Language Processing into your BI solutions. Gain expertise in training and deploying your own machine learning models to achieve tailored insights and predictive analytics. Author(s) None Diepeveen is an experienced data analyst and Power BI expert with a passion for making advanced analytics accessible to professionals. With years of hands-on experience working in the data analytics field, they deliver insights using intuitive, practical approaches through clear and engaging tutorials. Who is it for? This book is ideal for data analysts and BI developers who aim to expand their analytics capabilities with AI. Readers should already be familiar with Power BI and are looking for a resource to teach them how to incorporate predictive and advanced AI techniques into their reporting workflow. Whether you're seeking to gain a professional edge or enhance your organization's data storytelling and insights, this guide is perfect for you.

"Microsoft Power BI Performance Best Practices" is a thorough guide to mastering efficiently operating Power BI solutions. This book walks you through optimizing every layer of a Power BI project, from data transformations to architecture, equipping you with the ability to create robust and scalable analytics solutions. What this Book will help me do Understand how to set realistic performance goals for Power BI projects and implement ongoing performance monitoring. Apply effective architectural and configuration strategies to improve Power BI solution efficiency. Learn practices for constructing and optimizing data models and implementing Row-Level Security effectively. Utilize tools like DAX Studio and VertiPaq Analyzer to detect and resolve common performance bottlenecks. Gain deep knowledge of Power BI Premium and techniques for handling large-scale data solutions using Azure. Author(s) Bhavik Merchant is a recognized expert in business intelligence and analytics solutions. With extensive experience in designing and implementing Power BI solutions across industries, he brings a pragmatic approach to solving performance issues in Power BI. Bhavik's writing style reflects his passion for teaching, ensuring readers gain practical knowledge they can directly apply to their work. Who is it for? This book is designed for data analysts, BI developers, and data professionals who have foundational knowledge of Power BI and aim to elevate their skills to construct high-performance analytics solutions. It is particularly suited to individuals seeking guidance on best practices and tools for optimizing Power BI applications.

Dive into the world of reproducible data science with Pachyderm, a specialized platform designed for version-controlled data pipelines. By following this book, 'Reproducible Data Science with Pachyderm,' you'll gain the skills to implement robust, scalable machine learning workflows with Pachyderm 2.0, covering setup, integration, and advanced use cases. What this Book will help me do Build scalable, version-controlled data pipelines with Pachyderm's unique features. Understand the principles behind reproducible data science and implement them effectively. Deploy Pachyderm on AWS, Google Cloud, and Azure while integrating with popular tools. Create and manage end-to-end machine learning workflows, including hyperparameter tuning. Leverage advanced integrations, such as Pachyderm Notebooks and language clients like Python and Go. Author(s) Svetlana Karslioglu is a seasoned data scientist with extensive experience in constructing scalable machine learning and data processing systems. With years in both practical implementation and educational endeavors, she has a talent for breaking down complex concepts into accessible learning paths. Her approach is hands-on and results-oriented, aimed at empowering professionals to excel in the field of data science. Who is it for? This book is intended for data scientists, machine learning engineers, and data engineers who are keen to ensure reproducibility in their workflows. Ideal readers may have familiarity with data science basics and some exposure to Kubernetes and programming languages like Python. By studying the book, learners will establish confidence in implementing Pachyderm for scalable and reliable data pipelines.

This comprehensive guide dives into the intricacies of designing enterprise-grade solutions using Microsoft Power Platform. You'll learn how to leverage the tools in the suite, such as Power Apps, Power Automate, and Power BI, alongside Microsoft 365 and Azure services. By exploring practical examples and methodologies, you will be equipped to handle complex requirements and business challenges. What this Book will help me do Master the integration of Microsoft 365 and Azure components to enhance Power Platform applications. Learn advanced security implementations to safeguard enterprise architecture solutions. Gain proficiency in data migration strategies for robust and seamless data handling across platforms. Understand application lifecycle management and best practices for enterprise-grade Power Platform solutions. Extend and customize Power Platform tools for tailored business applications. Author(s) Robert Rybaric is an experienced enterprise architect specializing in Microsoft technologies. With years of experience crafting complex architecture solutions for dynamic business environments, Robert brings insights that simplify and clarify the challenges of enterprise architecture. His hands-on experience and practical approach make him a trusted voice in the IT solutions space. Who is it for? This book is ideal for enterprise architects and IT decision-makers seeking to use Microsoft Power Platform to address complex business needs. It caters to professionals with a foundational understanding of the platform, aiming to enhance their ability to implement scalable, efficient solutions in competitive business environments.

This book explains how you can enrich the data you have loaded into Power BI Desktop by accessing a suite of Artificial Intelligence (AI) features. These AI features are built into Power BI Desktop and help you to gain new insights from existing data. Some of the features are automated and are available to you at the click of a button or through writing Data Analysis Expressions (DAX). Other features are available through writing code in either the R, Python, or M languages. This book opens up the entire suite of AI features to you with clear examples showing when they are best applied and how to invoke them on your own datasets. No matter if you are a business user, analyst, or data scientist – Power BI has AI capabilities tailored to you. This book helps you learn what types of insights Power BI is capable of delivering automatically. You will learn how to integrate and leverage the use of the R and Python languages for statistics, how to integrate with Cognitive Services andAzure Machine Learning Services when loading data, how to explore your data by asking questions in plain English ... and more! There are AI features for discovering your data, characterizing unexplored datasets, and building what-if scenarios. There’s much to like and learn from this book whether you are a newcomer to Power BI or a seasoned user. Power BI Desktop is a freely available tool for visualization and analysis. This book helps you to get the most from that tool by exploiting some of its latest and most advanced features. What You Will Learn Ask questions in natural language and get answers from your data Let Power BI explain why a certain data point differs from the rest Have Power BI show key influencers over categories of data Access artificial intelligence features available in the Azure cloud Walk the same drill down path in different parts of your hierarchy Load visualizations to add smartness to your reports Simulate changes in data and immediately see the consequences Know your data, even before you build your first report Create new columns by giving examples of the data that you need Transform and visualize your data with the help of R and Python scripts Who This Book Is For For the enthusiastic Power BI user who wants to apply state-of-the-art artificial intelligence (AI) features to gain new insights from existing data. For end-users and IT professionals who are not shy of jumping into a new world of machine learning and are ready to make that step and take a deeper look into their data. For those wanting to step up their game from doing simple reporting and visualizations by making the move into diagnostic and predictive analysis.

"Learn Grafana 7.0" is the ultimate beginner's guide to leveraging Grafana's capabilities for analytics and interactive dashboards. You'll master real-time data monitoring, visualization, and learn how to query and explore metrics with a hands-on approach to Grafana 7.0's new features. What this Book will help me do Learn to install and configure Grafana from scratch, preparing you for real-world data analysis tasks. Navigate and utilize the Graph panel in Grafana effectively, ensuring clear and actionable visual insights. Incorporate advanced dashboard features such as annotations, templates, and links to enhance data monitoring. Integrate Grafana with major cloud providers like AWS and Azure for robust monitoring solutions. Implement secure user authentication and fine-tuned permissions for managing teams and sharing insights safely. Author(s) None Salituro, the author of "Learn Grafana 7.0," is an experienced data visualization expert with years of experience in software development and analytics. Salituro focuses on creating understandable and accessible resources for developers and analysts of all skill levels, bringing a hands-on practical approach to technical learning. Who is it for? This book is perfect for data analysts, business intelligence developers, and administrators looking to build skills in data visualization and monitoring with Grafana 7.0. If you're eager to create interactive dashboards and learn practical applications of Grafana's features, this book is for you. Beginners to Grafana are fully accommodated, though familiarity with data visualization principles is beneficial. For those seeking to monitor cloud services like AWS with Grafana, this book is indispensable.

Learn how today’s businesses can transform themselves by leveraging real-time data and advanced machine learning analytics. This book provides prescriptive guidance for architects and developers on the design and development of modern Internet of Things (IoT) and Advanced Analytics solutions. In addition, Business in Real-Time Using Azure IoT and Cortana Intelligence Suite offers patterns and practices for those looking to engage their customers and partners through Software-as-a-Service solutions that work on any device. Whether you're working in Health & Life Sciences, Manufacturing, Retail, Smart Cities and Buildings or Process Control, there exists a common platform from which you can create your targeted vertical solutions. Business in Real-Time Using Azure IoT and Cortana Intelligence Suite uses a reference architecture as a road map. Building on Azure’s PaaS services, you'll see how a solution architecture unfolds that demonstrates a complete end-to-end IoT and Advanced Analytics scenario. What You'll Learn: Automate your software product life cycle using PowerShell, Azure Resource Manager Templates, and Visual Studio Team Services Implement smart devices using Node.JS and C# Use Azure Streaming Analytics to ingest millions of events Provide both "Hot" and "Cold" path outputs for real-time alerts, data transformations, and aggregation analytics Implement batch processing using Azure Data Factory Create a new form of Actionable Intelligence (AI) to drive mission critical business processes Provide rich Data Visualizations across a wide variety of mobile and web devices Who This Book is For: Solution Architects, Software Developers, Data Architects, Data Scientists, and CIO/CTA Technical Leadership Professionals