Get to grips with the advanced features of Apex programming for Salesforce developers using this comprehensive guide Key Features Discover how to build reliable applications with Apex by avoiding common mistakes and pitfalls Learn how to use the different asynchronous programming tools in Apex Profile and improve the performance of your Apex code Book DescriptionAs applications built on the Salesforce platform are now a key part of many organizations, developers are shifting focus to Apex, Salesforce's proprietary programming language. As a Salesforce developer, it is important to understand the range of tools at your disposal, how and when to use them, and best practices for working with Apex. Mastering Apex Programming will help you explore the advanced features of Apex programming and guide you in delivering robust solutions that scale. This book starts by taking you through common Apex mistakes, debugging, exception handling, and testing. You'll then discover different asynchronous Apex programming options and develop custom Apex REST web services. The book shows you how to define and utilize Batch Apex, Queueable Apex, and Scheduled Apex using common scenarios before teaching you how to define, publish, and consume platform events and RESTful endpoints with Apex. Finally, you'll learn how to profile and improve the performance of your Apex application, including architecture trade-offs. With code examples used to facilitate discussion throughout, by the end of the book, you'll have developed the skills needed to build robust and scalable applications in Apex. What you will learn Understand common coding mistakes in Apex and how to avoid them using best practices Find out how to debug a Salesforce Apex application effectively Explore different asynchronous Apex options and their common use cases Discover tips to work effectively with platform events Develop custom Apex REST services to allow inbound integrations Build complex logic and processes on the Salesforce platform Who this book is forThis book is for Salesforce developers who are interested in mastering Apex programming skills. You'll also find this book helpful if you're an experienced Java or C# developer looking to switch to Apex programming for developing apps on the Salesforce platform. Basic Apex programming knowledge is essential to understand the concepts covered.

Build a strong foundation in SAS data warehousing by understanding data transformation code and policy, data stewardship and management, interconnectivity between SAS and other warehousing products, and print and web reporting Key Features Understand how to use SAS macros for standardizing extract, transform, and load (ETL) protocols Develop and use data curation files for effective warehouse management Learn how to develop and manage ETL, policies, and print and web reports that meet user needs Book DescriptionSAS is used for various functions in the development and maintenance of data warehouses, thanks to its reputation of being able to handle 'big data'. This book will help you learn the pros and cons of storing data in SAS. As you progress, you'll understand how to document and design extract-transform-load (ETL) protocols for SAS processes. Later, you'll focus on how the use of SAS arrays and macros can help standardize ETL. The book will also help you examine approaches for serving up data using SAS and explore how connecting SAS to other systems can enhance the data warehouse user's experience. By the end of this data management book, you will have a fundamental understanding of the roles SAS can play in a warehouse environment, and be able to choose wisely when designing your data warehousing processes involving SAS. What you will learn Develop efficient ways to manage data input/output (I/O) in SAS Create and manage extract, transform, and load (ETL) code in SAS Standardize ETL through macro variables, macros, and arrays Identify data warehouse users and ensure their needs are met Design crosswalk and other variables to serve analyst needs Maintain data curation files to improve communication and management Use the output delivery system (ODS) for print and web reporting Connect other products to SAS to optimize storage and reporting Who this book is forThis book is for data architects, managers leading data projects, and programmers or developers using SAS who want to effectively maintain a data lake, data mart, or data warehouse.

Explore a wide range of low-code tools in the Salesforce platform for building customized CRM applications without writing any code Key Features Create apps with a rich user experience without paying for costly developers Leverage Salesforce Lightning Platform's declarative features to build professional-grade applications Improve productivity with business process automation using Workflow, Process Builder, and Flow Book DescriptionLow-code platforms allow users to focus on business logic to create solutions without getting trapped in programming complexities. Thanks to its powerful features for designing, developing, and deploying apps without having to hand-code, Salesforce is at the forefront of the low-code development revolution. This book will guide you in building creative applications for solving your business problems using the declarative framework provided by Salesforce. You'll start by learning how to design your business data model with custom objects, fields, formulas, and validation rules, all secured by the Salesforce security model. You'll then explore tools such as Workflow, Process Builder, Lightning Flow, and Actions that will help you to automate your business processes with ease. This book also shows you how to use Lightning App Builder to build personalized UIs for your Salesforce applications, explains the value of creating community pages for your organization, and teaches you how to customize them with Experience Builder. Finally, you'll work with the sandbox model, deploy your solutions, and deliver an effective release management strategy. By the end of this Salesforce book, you'll be ready to customize Salesforce CRM to meet your business requirements by creating unique solutions without writing a single line of code. What you will learn Get to grips with the fundamentals of data modeling to enhance data quality Deliver dynamic configuration capabilities using custom settings and metadata types Secure your data by implementing the Salesforce security model Customize Salesforce applications with Lightning App Builder Create impressive pages for your community using Experience Builder Use Data Loader to import and export data without writing any code Embrace the Salesforce Ohana culture to share knowledge and learn from the global Salesforce community Who this book is forIf you are a citizen developer, business analyst, Salesforce administrator, or anyone interested in developing applications or solutions for business problems but lack technical knowledge, this book is for you. No prior programming experience is required.

Explore the latest features of Dynamics 365 and Power Platform's out-of-the-box tools to build custom business solutions for your organization Key Features Discover impressive Dynamics 365 features to transform your business and increase productivity Leverage the platform's extensibility to meet your organizational needs Understand how Power Platform powers Dynamics 365 and enhances its integration capabilities Book DescriptionMicrosoft Dynamics 365 provides a vast array of tools and applications to meet various Customer Engagement requirements. This Customer Relationship Management (CRM) guide covers the latest advancements in Dynamics 365 and Power Platform that help organizations adapt to changing market conditions for agility and resilience. With this book, you'll explore the core platform functionality of Dynamics 365 and explore its wide range of components for transforming your business with new services and capabilities. You'll learn the basics of configuration and customization to enhance the functionality of Microsoft Dynamics 365 CRM and create solutions and custom applications by leveraging features such as apps, portals, automation, and business intelligence. As you advance, you'll understand how Power Platform drives Dynamics 365 and how various integration capabilities add value by providing a comprehensive view of data aggregated across different systems and data sources. Finally, you'll delve into core administration concepts that will help you to manage extensions added to the platform. By the end of this book, you'll have learned how to tailor Microsoft Dynamics 365 to fit your organization's requirements and tweak the platform to meet your business needs. What you will learn Get to grips with Power Platform for building and enhancing Dynamics 365 apps Integrate Dynamics 365 CRM with Microsoft 365, Azure, and other platforms Discover how you can customize existing entities and create new ones Explore various security features and grant users access to CRM data and functions Find out which CRM attributes are used to automate operations with programming Use internal and external social data to help users to make informed decisions Who this book is forThis book is for customers and project stakeholders, new functional consultants, business administration users, and project managers looking to get up and running with the latest features of Dynamics 365 and Power Platform. This guide will help non-developers become acquainted with a no-code approach to customization and configuration. A basic understanding of relational data and customer management concepts will help you get the most out of this book.

Ask questions of your data and gain insights to make better business decisions using the open source business intelligence tool, Metabase Key Features Deploy Metabase applications to let users across your organization interact with it Learn to create data visualizations, charts, reports, and dashboards with the help of a variety of examples Understand how to embed Metabase into your website and send out reports automatically using email and Slack Book DescriptionMetabase is an open source business intelligence tool that helps you use data to answer questions about your business. This book will give you a detailed introduction to using Metabase in your organization to get the most value from your data. You'll start by installing and setting up Metabase on your local computer. You'll then progress to handling the administration aspect of Metabase by learning how to configure and deploy Metabase, manage accounts, and execute administrative tasks such as adding users and creating permissions and metadata. Complete with examples and detailed instructions, this book shows you how to create different visualizations, charts, and dashboards to gain insights from your data. As you advance, you'll learn how to share the results with peers in your organization and cover production-related aspects such as embedding Metabase and auditing performance. Throughout the book, you'll explore the entire data analytics process-from connecting your data sources, visualizing data, and creating dashboards through to daily reporting. By the end of this book, you'll be ready to implement Metabase as an integral tool in your organization. What you will learn Explore different types of databases and find out how to connect them to Metabase Deploy and host Metabase securely using Amazon Web Services Use Metabase's user interface to filter and aggregate data on single and multiple tables Become a Metabase admin by learning how to add users and create permissions Answer critical questions for your organization by using the Notebook editor and writing SQL queries Use the search functionality to search through tables, dashboards, and metrics Who this book is forThis book is for business analysts, data analysts, data scientists, and other professionals who want to become well-versed with business intelligence and analytics using Metabase. This book will also appeal to anyone who wants to understand their data to extract meaningful insights with the help of practical examples. A basic understanding of data handling and processing is necessary to get started with this book.

Enhance your Azure administration and Azure DevOps skills and get up and running with networking, security, automation, and effective cost management Key Features Explore a variety of administration patterns used for different cloud architectures Discover best practices for administering various IT systems hosted in Azure Administer, automate, and manage your Azure cloud environment effectively Book DescriptionMicrosoft Azure is one of the upcoming cloud platforms that provide cost-effective solutions and services to help businesses overcome complex infrastructure-related challenges. This book will help you scale your cloud administration skills with Microsoft Azure. Learn Azure Administration starts with an introduction to the management of Azure subscriptions, and then takes you through Azure resource management. Next, you'll configure and manage virtual networks and find out how to integrate them with a set of Azure services. You'll then handle the identity and security for users with the help of Azure Active Directory, and manage access from a single place using policies and defined roles. As you advance, you'll get to grips with receipts to manage a virtual machine. The next set of chapters will teach you how to solve advanced problems such as DDoS protection, load balancing, and networking for containers. You'll also learn how to set up file servers, along with managing and storing backups. Later, you'll review monitoring solutions and backup plans for a host of services. The last set of chapters will help you to integrate different services with Azure Event Grid, Azure Automation, and Azure Logic Apps, and teach you how to manage Azure DevOps. By the end of this Azure book, you'll be proficient enough to easily administer your Azure-based cloud environment. What you will learn Explore different Azure services and understand the correlation between them Secure and integrate different Azure components Work with a variety of identity and access management (IAM) models Find out how to set up monitoring and logging solutions Build a complete skill set of Azure administration activities with Azure DevOps Discover efficient scaling patterns for small and large workloads Who this book is forThis book is for cloud administrators, system administrators, and IT professionals who want to scale up their skillset and enter the world of cloud computing. IT professionals and engineers who are already familiar with the basics of the Azure services and are looking for a step-by-step guide to solving the most common Azure problems will also find this book useful. Basic understanding of cloud concepts such as IaaS, PaaS, virtualization, networking, and common Azure services is required.

Gain a 360-degree view of Microsoft Power Platform and combine the benefits of Power Apps, Power BI, Power Automate, Azure, and Dynamics 365 to build an enterprise application platform for your organization Key Features Explore various Microsoft cloud components and find out how they can enhance your Power Platform solutions Get to grips with Microsoft Power Platform's security and extensibility, integration, and data migration models Discover architectural best practices for designing complex enterprise solutions Book DescriptionFor forward-looking architects and decision makers who want to craft complex solutions to serve growing business needs, Microsoft Power Platform Enterprise Architecture offers an array of architectural best practices and techniques. With this book, you'll learn how to design robust software using the tools available in the Power Platform suite and be able to integrate them seamlessly with various Microsoft 365 and Azure components. Unlike most other resources that are overwhelmingly long and unstructured, this book covers essential concepts using concise yet practical examples to help you save time. You'll develop the skills you need to architect, design, and manage a complex solution as you follow the journey of a fictitious enterprise customer as they enter the world of Power Platform. Throughout the book, you'll discover how to combine the functionality of Power Apps, Power Automate, Power BI, and Power Virtual Agents with various methodologies to effectively address application lifecycle management, security, and extensibility. Finally, you'll learn how to overcome common challenges in migrating data to and from Microsoft Power Platform using proven techniques. By the end of this book, you'll have the strategic perspective of an enterprise architect to make accurate architectural decisions for your complex Power Platform projects. What you will learn Understand various Dynamics 365 CRM, ERP, and AI modules for creating Power Platform solutions Enhance Power Platform with Microsoft 365 and Azure Find out which regions, staging environments, and user licensing groups need to be employed when creating enterprise solutions Implement sophisticated security by using various authentication and authorization techniques Extend Power Apps, Power BI, and Power Automate to create custom applications Integrate your solution with various in-house Microsoft components or third-party systems using integration patterns Who this book is forThis book is for enterprise architects and technical decision makers who want to craft complex solutions using Microsoft Power Platform to serve growing business needs and to stay competitive in the modern IT world. A basic understanding of Microsoft Power Platform will help you to get started with this book.

Quickly build and deploy machine learning models without managing infrastructure, and improve productivity using Amazon SageMaker's capabilities such as Amazon SageMaker Studio, Autopilot, Experiments, Debugger, and Model Monitor Key Features Build, train, and deploy machine learning models quickly using Amazon SageMaker Analyze, detect, and receive alerts relating to various business problems using machine learning algorithms and techniques Improve productivity by training and fine-tuning machine learning models in production Book DescriptionAmazon SageMaker enables you to quickly build, train, and deploy machine learning (ML) models at scale, without managing any infrastructure. It helps you focus on the ML problem at hand and deploy high-quality models by removing the heavy lifting typically involved in each step of the ML process. This book is a comprehensive guide for data scientists and ML developers who want to learn the ins and outs of Amazon SageMaker. You'll understand how to use various modules of SageMaker as a single toolset to solve the challenges faced in ML. As you progress, you'll cover features such as AutoML, built-in algorithms and frameworks, and the option for writing your own code and algorithms to build ML models. Later, the book will show you how to integrate Amazon SageMaker with popular deep learning libraries such as TensorFlow and PyTorch to increase the capabilities of existing models. You'll also learn to get the models to production faster with minimum effort and at a lower cost. Finally, you'll explore how to use Amazon SageMaker Debugger to analyze, detect, and highlight problems to understand the current model state and improve model accuracy. By the end of this Amazon book, you'll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation. What you will learn Create and automate end-to-end machine learning workflows on Amazon Web Services (AWS) Become well-versed with data annotation and preparation techniques Use AutoML features to build and train machine learning models with AutoPilot Create models using built-in algorithms and frameworks and your own code Train computer vision and NLP models using real-world examples Cover training techniques for scaling, model optimization, model debugging, and cost optimization Automate deployment tasks in a variety of configurations using SDK and several automation tools Who this book is forThis book is for software engineers, machine learning developers, data scientists, and AWS users who are new to using Amazon SageMaker and want to build high-quality machine learning models without worrying about infrastructure. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. Some understanding of machine learning concepts and the Python programming language will also be beneficial.