Make the most of Salesforce Marketing Cloud through automation and increase your productivity on the platform without adding any extra resources Key Features Increase your knowledge of automation theory and the applications of SFMC Explore automation with SFMC and its capabilities beyond general usage Understand the automation features and integrations of SFMC to use the platform from outside the user interface (UI) for maximum efficiency Book DescriptionSalesforce Marketing Cloud (SFMC) allows you to use multiple channels and tools to create a 1:1 marketing experience for your customers and subscribers. Through automation and helper tasks, you can greatly increase your productivity while also reducing the level of effort required in terms of volume and frequency. Automating Salesforce Marketing Cloud starts by discussing what automation is generally and then progresses to what automation is in SFMC. After that, you'll focus on how to perform automation inside of SFMC all the way to fully running processes and capabilities from an external service. Later chapters explore the benefits and capabilities of automation and having an automation mindset both within and outside of SFMC. Equipped with this knowledge and example code, you'll be prepared to maximize your SFMC efficiency. By the end of this Salesforce book, you'll have the skills you need to build automation both inside and outside of SFMC, along with the knowledge for using the platform optimally. What you will learn Understand automation to make the most of the SFMC platform Optimize ETL activities, data import integrations, data segmentations, email sends, and more Explore different ways to use scripting and API calls to increase Automation Studio efficiency Identify opportunities for automation with custom integrations and third-party solutions Optimize usage of SFMC by building on the core concepts of custom integrations and third-party tools Maximize utilization of employee skills and capabilities and reduce operational costs while increasing output Who this book is forThis book is for Salesforce Marketing Cloud users who want to know how to make their day to day lives more efficient and get the most out of the tool by working smarter, not harder. A solid understanding of SFMC and basic knowledge of what automation is will help you get the most out of this book.

Learn how to use Power BI to deliver the insights needed to help your enterprise survive and thrive Key Features Learn simple through to advanced Power BI features in a clear, concise way using real-world examples Develop powerful analytical models and reports that extract key business insights Publish, share and collaborate on impressive reports, dashboards, apps, and goals Book DescriptionTo succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter decisions faster than ever before. This updated second edition of Learn Power BI takes you on a journey of data exploration and discovery, using Microsoft Power BI to ingest, cleanse, and organize data in order to unlock key business insights that can then be shared with others. This newly revised and expanded edition of Learn Power BI covers all of the latest features and interface changes and takes you through the fundamentals of business intelligence projects, how to deploy, adopt, and govern Power BI within your organization, and how to leverage your knowledge in the marketplace and broader ecosystem that is Power BI. As you progress, you will learn how to ingest, cleanse, and transform your data into stunning visualizations, reports, and dashboards that speak to business decision-makers. By the end of this Power BI book, you will be fully prepared to be the data analysis hero of your organization - or even start a new career as a business intelligence professional. What you will learn Get up and running quickly with Power BI Understand and plan your business intelligence projects Connect to and transform data using Power Query Create data models optimized for analysis and reporting Perform simple and complex DAX calculations to enhance analysis Discover business insights and create professional reports Collaborate via Power BI dashboards, apps, goals, and scorecards Deploy and govern Power BI, including using deployment pipelines Who this book is forIf you're an IT manager, data analyst, or BI user new to using Power BI for solving business intelligence problems, this book is for you. You'll also find this book helpful if you want to migrate from other BI tools to create powerful and interactive dashboards. No experience of working with Power BI is expected.

Become a proficient Odoo developer and increase your productivity while building Odoo business applications Key Features Set up the Odoo development environment and learn how to test and debug your code Use the ORM framework to work with data and implement business logic supporting business rules Design user interfaces, web pages, and business reports using the Odoo framework's web components Book DescriptionOdoo is fast becoming the reference open source platform for business applications thanks to the fact that it provides the infrastructure needed for developers to deliver software solutions for any business process quickly. Odoo's layered module approach makes it particularly effective for combining and extending features. This updated fifth edition is a tutorial-style introduction to essential Odoo development topics. The book starts by covering the development essentials for building business applications and takes you through Odoo installation and configuration, gradually transitioning from having no specific knowledge of Odoo to being ready for application development. You'll then learn how to develop your first Odoo application, while covering topics such as models and views. Later chapters will get you up to speed with using server APIs to add business logic, helping you lay a solid foundation for advanced topics. As you progress, you'll get equipped to build and customize your applications and explore the new features available in Odoo 12 and beyond, such as in-memory ORM and computed writable fields. Finally, you'll gain insights into building business logic and using the Odoo API to integrate with various applications. By the end of this book, you'll be able to build business apps from scratch using the latest version of Odoo. What you will learn Install Odoo from source and organize the development environment Create your first Odoo app from scratch Understand the application components available in Odoo Structure the application's data model using ORM features Use the ORM API to implement the business logic layer Design a graphical user interface (GUI) for the web client and website Use the Odoo External API to interface with external systems Deploy and maintain your application in production environments Who this book is forThis book is for developers who want to learn Odoo application development and quickly become productive while creating business applications. Teachers, trainers, and Odoo team managers will also find the book useful for helping their students or trainees to learn Odoo development skills. Basic knowledge of Python programming is required to get started with the book

Transform your app ideas into fully functional prototypes with the help of expert tips and best practices from Mendix partners Key Features Meet the ever-increasing demand for software solution delivery without having to write any code Build high-availability, low-cost applications unlike those developed via a traditional software engineering approach Explore Mendix from product design through to delivery using real-world scenarios Book DescriptionLow-code is a visual approach to application development. It enables developers of varying experience levels to create web and mobile apps using drag-and-drop components and model-driven logic through a graphic user interface. Mendix is among the fastest-growing platforms that enable low-code enthusiasts to put their software ideas into practice without having to write much code, and Building Low-Code Applications with Mendix will help you get up and running with the process using examples and practice projects. The book starts with an introduction to Mendix, along with the reasons for using this platform and its tools for creating your first app. As you progress, you'll explore Mendix Studio Pro, the visual environment that will help you learn Mendix app creation. Once you have your working app ready, you'll understand how to enhance it with custom business logic and rules. Next, you'll find out how to defend your app against bad data, troubleshoot and debug it, and finally, connect it with real-world business platforms. You'll build practical skills as the book is filled with examples, real-world scenarios, and explanations of the tools needed to help you build low-code apps successfully. By the end of this book, you'll have understood the concept of low-code development, learned how to use Mendix effectively, and developed a working app. What you will learn Gain a clear understanding of what low-code development is and the factors driving its adoption Become familiar with the various features of Mendix for rapid application development Discover concrete use cases of Studio Pro Build a fully functioning web application that meets your business requirements Get to grips with Mendix fundamentals to prepare for the Mendix certification exam Understand the key concepts of app development such as data management, APIs, troubleshooting, and debugging Who this book is forThis book is for tech-savvy business analysts and citizen developers who want to get started with Mendix for rapid mobile and web application development. The book is also helpful for seasoned developers looking to learn a new tool/platform and for anyone passionate about designing technical solutions without wanting to indulge in the complexities of writing code. The book assumes beginner-level knowledge of object-oriented programming and the ability to translate technical solutions from business requirements.

The ultimate guide to becoming proficient in Azure Bicep while having a better development experience and making your Infrastructure as Code seamless and error free Key Features Learn Azure Bicep from an official Microsoft trainer Master the authoring experience to make your Infrastructure as Code journey seamless Go beyond writing good templates with the help of advanced tips and tricks Book DescriptionIt's no secret that developers don't like using JSON files to declare their resources in Azure because of issues such as parameter duplication and not being able to use comments in templates. Azure Bicep helps resolve these issues, and this book will guide you, as a developer or DevOps engineer, to get the most out of the Bicep language. The book takes you on a journey from understanding Azure Resource Manager (ARM) templates and what their drawbacks are to how you can use Bicep to overcome them. You will get familiar with tools such as Visual Studio Code, the Bicep extension, the Azure CLI, PowerShell, Azure DevOps, and GitHub for writing reusable, maintainable templates. After that, you'll test the templates and deploy them to an Azure environment either from your own system or via a continuous integration and continuous delivery (CI/CD) pipeline. The book features a detailed overview of all the Bicep features, when to use what, and how to write great templates that fit well into your existing pipelines or in a new one. The chapters progress from easy to advanced topics and every effort has been put into making them easy to follow with examples, all of which are accessible via GitHub. By the end of this book, you'll have developed a solid understanding of Azure Bicep and will be able to create, test, and deploy your resources locally or in your CI/CD pipelines. What you will learn Get started with Azure Bicep and install the necessary tools Understand the details of how to define resources with Bicep Use modules to create templates for different teams in your company Optimize templates using expressions, conditions, and loops Make customizable templates using parameters, variables, and functions Deploy templates locally or from Azure DevOps or GitHub Stay on top of your IaC with best practices and industry standards Who this book is forThis book is for cloud engineers, developers, and DevOps engineers who are responsible for writing templates to deploy resources in Microsoft Azure and contributing to CI/CD pipelines. Professionals who want to get started with DevOps and Infrastructure as Code when it comes to working with Microsoft Azure will also benefit from reading this book. Readers are expected to have a basic understanding of CI/CD concepts, must have worked with ARM templates to deploy resources to Azure, and must have used or be familiar with Azure DevOps or GitHub Actions for their CI/CD pipelines.

All scheduling software is difficult to learn for a number of reasons. None have the optimal settings when installed and Layouts, User Preferences and default options need to be adjusted to obtain the best possible performance. Usually the Help files do not connect the user to real life situations and do not explain the practical use of functions. Furthermore, there are many flicks and switches with obscure names that are difficult to understand or decide what they do or which are important. These issues make learning the software very difficult without a comprehensive guide written by an experienced user. Investing in a book written by Paul E Harris will address all these issues and allow you to setup the software properly and understand all the obscure functions letting you become productive more quickly and enhance your career opportunities and salary with a solid understanding of the software. This book is an update of the author's Primavera P6 Version 8 to 20 book and the workshops have been updated so they start in the future. The book has been written so it may be used with any software industry version. The book is packed with screen shots, constructive tips and contains workshops with solutions at the end of each chapter for the reader to practice the skills taught. It has been written so it may be used with either the Professional Project Management Client version or the Enterprise Project Portfolio Management Optional Client. The book is aimed at: 1. People who wish learn the software but are unable to attend a training course and find the software reference manual hard going. 2. Project management companies who wish to run their own software training courses or provide their employees with an alternative text to the vendor supplied user manual. 3. Training organizations requiring a training manual to run their own training courses. The book is designed to teach planners and schedulers in any industry how to setup and use the software in a project environment. It explains in plain English and in a logical sequence, the steps required to create and maintain an unresourced and resourced schedule. It tackles some of the more complex aspects of the software that the user manual does not address. It highlights the sources of information and the methods that should be employed to produce a realistic and useful project schedule. The book provides advice on how on how the many software options may be applied to projects environments and it aims to teach readers how to plan and control projects created within the software package and stays focused on explaining how to use Primavera to schedule projects by: 1. Concentrating on the core functions required to set up an enterprise environment and how to plan and control projects. 2. Providing command lists at the start of each chapter as a quick reference. 3. Providing a comprehensive table of contents and index of all topics. The book is intended to be used: 1. As a self-teach book, or 2. A user guide, or 3. A training manual for a three-day training course, instructor PowerPoint slide shows are available from the author. This book is written by an experienced scheduler, who has used the software at the sharp end of projects and is not a techo. It draws on the author's practical experience in using the software in a wide variety of industries. It presents workable solutions to real day to day planning and scheduling problems and contains practical advice on how to set up the software and import data.

Build interactive dashboards and storytelling reports at scale with the cloud-native BI tool that integrates embedded analytics and ML-powered insights effortlessly Key Features Explore Amazon QuickSight, manage data sources, and build and share dashboards Learn best practices from an AWS certified big data solutions architect Manage and monitor dashboards using the QuickSight API and other AWS services such as Amazon CloudTrail Book DescriptionAmazon Quicksight is an exciting new visualization that rivals PowerBI and Tableau, bringing several exciting features to the table - but sadly, there aren't many resources out there that can help you learn the ropes. This book seeks to remedy that with the help of an AWS-certified expert who will help you leverage its full capabilities. After learning QuickSight's fundamental concepts and how to configure data sources, you'll be introduced to the main analysis-building functionality of QuickSight to develop visuals and dashboards, and explore how to develop and share interactive dashboards with parameters and on-screen controls. You'll dive into advanced filtering options with URL actions before learning how to set up alerts and scheduled reports. Next, you'll familiarize yourself with the types of insights before getting to grips with adding ML insights such as forecasting capabilities, analyzing time series data, adding narratives, and outlier detection to your dashboards. You'll also explore patterns to automate operations and look closer into the API actions that allow us to control settings. Finally, you'll learn advanced topics such as embedded dashboards and multitenancy. By the end of this book, you'll be well-versed with QuickSight's BI and analytics functionalities that will help you create BI apps with ML capabilities. What you will learn Understand the wider AWS analytics ecosystem and how QuickSight fits within it Set up and configure data sources with Amazon QuickSight Include custom controls and add interactivity to your BI application using parameters Add ML insights such as forecasting, anomaly detection, and narratives Explore patterns to automate operations using QuickSight APIs Create interactive dashboards and storytelling with Amazon QuickSight Design an embedded multi-tenant analytics architecture Focus on data permissions and how to manage Amazon QuickSight operations Who this book is forThis book is for business intelligence (BI) developers and data analysts who are looking to create interactive dashboards using data from Lake House on AWS with Amazon QuickSight. It will also be useful for anyone who wants to learn Amazon QuickSight in depth using practical, up-to-date examples. You will need to be familiar with general data visualization concepts before you get started with this book, however, no prior experience with Amazon QuickSight is required.

Discover best practices to create simple, robust, and scalable software solutions quickly and securely, and focus on what's important - the business and the end customer Key Features Discover strategies and tips for low-code and no-code development with the help of useful examples in this full-color guide Build enterprise-scale reactive web and mobile applications Explore the benefits of low-code development Book DescriptionOutSystems is a software development platform that speeds up the build phase by abstracting code and making almost everything visual. This means replacing textual language with visual artifacts that avoid lexical errors and speed up code composition using accelerators and predefined templates. The book begins by walking you through the fundamentals of the technology, along with a general overview of end-to-end web and mobile software development. You'll learn how to configure your personal area in the cloud and use the OutSystems IDE to connect with it. The book then shows you how to build a web application based on the best architectural and developmental practices in the market, and takes the same approach for the mobile paradigm. As you advance, you'll find out how to develop the same application, and the great potential of reusing code from one paradigm in another and the symbiosis between them is showcased.The only application that'll differ from the application in the exercise is the one used in business process technology (BPT), with a focus on a common market use case. By the end of this OutSystems book, you'll be able to develop enterprise-level applications on the web and mobile, integrating them with third parties and other systems on the market. You'll also understand the concepts of performance, security, and software construction and be able to apply them effectively. What you will learn Get to grips with the OutSystems infrastructure Develop reactive web and mobile applications in OutSystems using best practices in Service Studio Define and design Architecture Canvas (3-Layer Canvas) for your applications Integrate with external systems in OutSystems Enhance applications with BPT Manage and monitor your applications in the OutSystems infrastructure Who this book is forThis book is for back-end developers, tech leaders, UX/UI developers, frontend developers, (in general, full-stack developers), tech companies, and enterprises looking to learn how to develop web and mobile software quickly and disruptively by leveraging OutSystems, one of the most low-code platforms in the market. An IT background is not mandatory; however, experience in SQL, JavaScript, HTML, CSS, and C# is required to get started with this book.

This third edition of the popular Mastering QuickBooks (R) is updated for 2022 and now goes above and beyond the topics covered on the QuickBooks Certified User (QBCU) exam. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn QuickBooks Online (QBO) from scratch and get confident with best practices Fully revised to include the latest updates to QuickBooks Online Brush up on everything you need to prepare for the QBCU exam Book DescriptionWhether you have bookkeeping experience or not, handling the financial side of your growing business requires expertise. With Mastering QuickBooks (R) 2022, Third Edition, you'll learn how to use QuickBooks (R) to build the perfect budget, simplify tax return preparation, manage inventory, track job costs, generate income statements and financial reports, and perform all accounting-related tasks with ease. Throughout the book, you'll be guided by an experienced Certified Public Accountant and Advanced Certified QuickBooks ProAdvisor - from setup to core features and beyond. This new edition has every chapter revised to cover a range of new features and updates available, including smart invoicing and cash flow projections. You'll learn how to create multilingual invoices, track mileage, work with a cash flow dashboard that helps you with cash forecasting and planning reports, and upload batches of bills and checks. This book will also teach you how to manage sales tax, including how to set up, collect, track, pay, and report sales tax payments. In addition to this, you'll explore how to export reports to Google Sheets, use the custom chart builder, import budgets, and perform smart reporting. By the end of this book, you'll be well-versed with QuickBooks and have the confidence to manage all your bookkeeping tasks with ease. What you will learn Tackle bookkeeping concepts and the typical bookkeeping and financial accounting cycle Discover QBO's new features and what the whole line-up offers Track everything from billable and non-billable time to expenses and profit Generate key financial reports for accounts, customers, jobs, and invoice items Understand the complete QuickBooks payroll process Who this book is forSmall business owners, bookkeepers, and accounting students who want to start using QuickBooks more effectively will all get plenty of practical know-how from this book. While this guide is appropriate for beginners, it can also serve as an exhaustive resource for those with some bookkeeping experience and those studying to become a QuickBooks Certified User.

Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you'll need to become one. You'll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You'll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases. By the end of this book, you'll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is forThis book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You'll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.

Successfully execute a strategic roadmap of digital transformation and modernize your enterprise with a proven API-led agile implementation approach by unlocking the full range of features in IBM API Connect Version 10 Key Features Explore techniques to design and deliver valuable customer-centric APIs using API Connect Manage your APIs with improved security and optimal performance across many channels Uncover hidden capabilities that help improve business agility and management within your API ecosystem Book DescriptionIBM API Connect enables organizations to drive digital innovation using its scalable and robust API management capabilities across multi-cloud and hybrid environments. With API Connect's security, flexibility, and high performance, you'll be able to meet the needs of your enterprise and clients by extending your API footprint. This book provides a complete roadmap to create, manage, govern, and publish your APIs. You'll start by learning about API Connect components, such as API managers, developer portals, gateways, and analytics subsystems, as well as the management capabilities provided by CLI commands. You'll then develop APIs using OpenAPI and discover how you can enhance them with logic policies. The book shows you how to modernize SOAP and FHIR REST services as secure APIs with authentication, OAuth2/OpenID, and JWT, and demonstrates how API Connect provides safeguards for GraphQL APIs as well as published APIs that are easy to discover and well documented. As you advance, the book guides you in generating unit tests that supplement DevOps pipelines using Git and Jenkins for improved agility, and concludes with best practices for implementing API governance and customizing API Connect components. By the end of this book, you'll have learned how to transform your business by speeding up the time-to-market of your products and increase the ROI for your enterprise. What you will learn Use API Connect to create, manage, and publish customer-centric, API-led solutions Run CLI commands to manage API configuration and deployments Create REST, SOAP, and GraphQL APIs securely using OpenAPI Support OAuth and JWT security methods using policies Create custom policies to supplement security Apply built-in policies to transform payloads Use CLIs and unit testing hooks within DevOps pipelines Find out how to customize Analytics dashboards and Portal User Interface Who this book is forThis book is for developers and architects who want to achieve digital transformation using IBM API Connect and successfully execute the strategic roadmap of enterprise modernization while effectively managing their API ecosystem. A solid understanding of what RESTful services and APIs can do and where to implement API security is necessary to get started. Experience in application development and basic knowledge of microservices, container orchestration, and cloud environments will help you to get the most out of this book.

Get to grips with the tools, services, and functions needed for application migration to help you move from legacy applications to cloud-native on Google Cloud Key Features Discover how a sample legacy application can be transformed into a cloud-native application on Google Cloud Learn where to start and how to apply application modernization techniques and tooling Work with real-world use cases and instructions to modernize an application on Google Cloud Book DescriptionLegacy applications, which comprise 75-80% of all enterprise applications, often end up being stuck in data centers. Modernizing these applications to make them cloud-native enables them to scale in a cloud environment without taking months or years to start seeing the benefits. This book will help software developers and solutions architects to modernize their applications on Google Cloud and transform them into cloud-native applications. This book helps you to build on your existing knowledge of enterprise application development and takes you on a journey through the six Rs: rehosting, replatforming, rearchitecting, repurchasing, retiring, and retaining. You'll learn how to modernize a legacy enterprise application on Google Cloud and build on existing assets and skills effectively. Taking an iterative and incremental approach to modernization, the book introduces the main services in Google Cloud in an easy-to-understand way that can be applied immediately to an application. By the end of this Google Cloud book, you'll have learned how to modernize a legacy enterprise application by exploring various interim architectures and tooling to develop a cloud-native microservices-based application. What you will learn Discover the principles and best practices for building cloud-native applications Study the six Rs of migration strategy and learn when to choose which strategy Rehost a legacy enterprise application on Google Compute Engine Replatform an application to use Google Load Balancer and Google Cloud SQL Refactor into a single-page application (SPA) supported by REST services Replatform an application to use Google Identity Platform and Firebase Authentication Refactor to microservices using the strangler pattern Automate the deployment process using a CI/CD pipeline with Google Cloud Build Who this book is forThis book is for software developers and solutions architects looking to gain experience in modernizing their enterprise applications to run on Google Cloud and transform them into cloud-native applications. Basic knowledge of Java and Spring Boot is necessary. Prior knowledge of Google Cloud is useful but not mandatory.

Get hands-on with NetSuite implementation, customization, and integration services for automating operations and accelerating business growth Key Features Understand how to consult a new client from the kick-off meeting to their go-live and beyond in the fastest possible time Explore the new features in NetSuite 2021 and learn best practices for ERP and CRM consultants Avoid the common pitfalls that consultants can run into when implementing NetSuite Book DescriptionNetSuite For Consultants takes a hands-on approach to help ERP and CRM consultants implement NetSuite quickly and efficiently, as well deepen their understanding of its implementation methodology. During the course of this book, you'll get a clear picture of what NetSuite is, how it works, and how accounts, support, and updates work within its ecosystem. Understanding what a business needs is a critical first step toward completing any software product implementation, so you'll learn how to write business requirements by learning about the various departments, roles, and processes in the client's organization. Once you've developed a solid understanding of NetSuite and your client, you'll be able to apply your knowledge to configure accounts and test everything with the users. You'll also learn how to manage both functional and technical issues that arise post-implementation and handle them like a professional. By the end of this book, you'll have gained the necessary skills and knowledge to implement NetSuite for businesses and get things up and running in the shortest possible time. What you will learn Understand the NetSuite ecosystem, including its main modules, the platform, and related features Explore the fundamentals of NetSuite and get ready to implement it in any organization Discover how to manage gaps, data migration, and integrations with NetSuite Find out how to minimize disruptions in finance as you migrate to NetSuite Understand the steps to configure your organization's account and how development and testing fit into the implementation schedule Refine your skills with NetSuite tips and tricks and make each implementation process a success Who this book is forThis book is aimed at consultants, NetSuite users, and partners who are tasked with guiding the organizations to get their business up and running with NetSuite. Basic NetSuite training and a general understanding of its features is required to get the most out of this book.

Leverage CRM Analytics to generate valuable business insights and solve business problems efficiently Key Features Extract, combine, transform, and visualize your data to derive business insights using CRM Analytics Gain hands-on experience as you walk through practical dashboard use cases in CRM Analytics Learn how to build best-in-class dashboards from a CRM Analytics thought leader Book DescriptionCRM Analytics, formerly known as Tableau CRM and Einstein Analytics, is a powerful and versatile data analytics platform that enables organizations to extract, combine, transform, and visualize their data to create valuable business insights. Creating Actionable Insights Using CRM Analytics provides a hands-on approach to CRM Analytics implementation and associated methodologies that will have you up and running and productive in no time. The book provides you with detailed explanations of essential concepts to help you to gain confidence and become competent in using the CRM Analytics platform for data extraction, combination, transformation, visualization, and action. As you make progress, you'll understand what CRM Analytics is and where it provides business value. You'll also learn how to bring your data together in CRM Analytics, build datasets and lenses for data analysis, create effective analytics dashboards for visualization and consumption by end users, and build dashboard actions that take the user from data to insight to action with ease. By the end of this book, you'll be able to solve business problems using CRM Analytics and design, build, test, and deploy analytics dashboards efficiently. What you will learn Implement and configure CRM Analytics from scratch Build your first CRM Analytics app and embed your CRM Analytics dashboards in Salesforce to enhance user adoption Connect Salesforce and external data with CRM Analytics and create datasets Create a data recipe and get familiar with the recipe UI Build a custom dashboard in CRM Analytics using the dashboard editor Use lenses to create a CRM Analytics dashboard Configure and implement data security and governance Build configured record actions to automate data directly in Salesforce Who this book is forThis book is for data analysts, business analysts, BI professionals, and Salesforce users who want to explore CRM Analytics' capabilities and features. Basic knowledge of Salesforce and data analytics is assumed to get the most out of this book.

Learn how to create sophisticated and reliable Logic Apps with improved UX Key Features Become an Azure Master and create data flows within a matter of minutes Perform transfers using Logic Apps with prompt results Create powerful Logic Apps by enhancing your systems to improve user experience Book DescriptionLogic Apps are a visual flowchart-like representation of common programming actions, and are a flexible way to create logic without writing a single line of code. Enterprise Integration with Azure Logic Apps is a comprehensive introduction for anyone new to Logic Apps which will boost your learning skills and allow you to create rich, complex, structured, and reusable logic with instant results. You'll begin by discovering how to navigate the Azure portal and understand how your objects can be zoned to a specific environment by using resource groups. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will teach you the benefits and foundations of Logic App logic design. As you advance, you'll find out how to manage your Azure environment in relation to Logic Apps and how to create elegant and reliable Logic Apps. With useful and practical explanations of how to get the most out of Logic App actions and triggers, you'll be able to ensure that your Logic Apps work efficiently and provide seamless integration for real-world scenarios without having to write code. By the end of this Logic Apps book, you'll be able to create complex and powerful Logic Apps within minutes, integrating large amounts of data on demand, enhancing your systems, and linking applications to improve user experience. What you will learn Understand how to use blades, overview pages, and subscription pages Discover how to create a Microsoft account to manage your tenant Use a Visual Studio subscription with Azure to manage your Logic Apps Find out how to manage the cloud by analyzing runs, executions, and costs Create resource groups to zone your enterprise environments Support a development life cycle from sandbox through to production Who this book is forIf you are an aspiring infrastructure technician who already uses Azure in place of on-premises solutions and is now looking to link systems together, then this book is for you. This book is also for developers interested in systems integration where legacy systems may not have a direct data link and the cloud is the intermediary step. Power users with existing IT skills and experience with Power BI and Power Automate will also find this book useful.

Leverage DataRobot's enterprise AI platform and automated decision intelligence to extract business value from data Key Features Get well-versed with DataRobot features using real-world examples Use this all-in-one platform to build, monitor, and deploy ML models for handling the entire production life cycle Make use of advanced DataRobot capabilities to programmatically build and deploy a large number of ML models Book DescriptionDataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization. You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities. By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors. What you will learn Understand and solve business problems using DataRobot Use DataRobot to prepare your data and perform various data analysis tasks to start building models Develop robust ML models and assess their results correctly before deployment Explore various DataRobot functions and outputs to help you understand the models and select the one that best solves the business problem Analyze a model's predictions and turn them into actionable insights for business users Understand how DataRobot helps in governing, deploying, and maintaining ML models Who this book is forThis book is for data scientists, data analysts, and data enthusiasts looking for a practical guide to building and deploying robust machine learning models using DataRobot. Experienced data scientists will also find this book helpful for rapidly exploring, building, and deploying a broader range of models. The book assumes a basic understanding of machine learning.

This book is designed as a student handout for a two-day training course and may also be used as a self-teach book. This course objectives are to teach participants: * The user interface, * How to create a projects, * Scheduling projects without resources, * Filters, Views, Sorts and Printing, * Creating and assigning a baseline and * Updating an un-resourced project. Most chapters are reinforced by student workshops.