Bücher veröffentlicht von Packt Publishing

Avoid implementation failures and technical debt by mitigating anti-patterns in your Salesforce enterprise solutions using expert guidance and proven recommendationsPurchase of the print or Kindle book includes a free eBook PDFKey FeaturesBuild exemplary Salesforce architectures by studying anti-patterns that lead to failing systemsDemonstrate deep architectural principles that you can apply in your Salesforce projectsIdentify common problems in Salesforce architectures and apply better architectural solutionsBook DescriptionSalesforce Anti-Patterns teaches you to spot errors in Salesforce patterns that may seem like a good idea at first but end up costing you dearly. This book will enable Salesforce developers and architects to understand how ingenious Salesforce architectures can be created by studying anti-patterns and solutions to problems that can later lead to serious implementation issues. While there are several books on the market that start with the question, "How do I create great Salesforce architecture?" and proceed to a solution from there, this book instead starts by asking, "What tends to go wrong with Salesforce architectures?" and proceeds to a solution from there.In this book, you'll find out how to identify and mitigate anti-patterns in the technical domains of system architecture, data architecture, and security architecture, along with anti-patterns in the functional domain of solution architecture as well as for integration architecture. You'll also learn about common anti-patterns affecting your Salesforce development process and governance and, finally, how to spot common problems in how architects communicate their solutions.By the end of this Salesforce book, you'll have gained the confidence to architect and communicate solutions on the Salesforce platform while dodging common mistakes.What you will learnCreate a balanced system architecture by identifying common mistakes around on- and off-platform functionality and interfacesAvoid security problems that arise from anti-patterns on the Salesforce platformSpot common data architecture issues and discover intuitive ways to address themAvoid the dual traps of over- and under-customization in your solution architectureExplore common errors made in deployment setups, test strategy, and architecture governanceUnderstand why bad communication patterns are so overlooked in architectureWho this book is forThis book is for Salesforce architects, aspiring architects, developers, consultants, and decision makers who want to start making the right architectural choices or prepare for their journey to CTA. This book helps you gain a professional understanding of Salesforce and its building blocks. It is not code-centric, so you will benefit from both functional and technical experience, but a basic level of platform understanding is required.Table of ContentsWhy You Need to Understand Salesforce Anti-PatternsHow Not to Mess Up Your System ArchitectureHow Not to Get Confused about SecurityWhat Not to Do about Data?Unpicking Solution Architecture TroublesKeeping Integration StraightKeeping the Development Life Cycle from Going off TrackCommunication without Mistranslation Conclusion

Build your organization's cyber defense system by effectively applying digital forensics, incident management, and investigation techniques to real-world cyber threatsKey Features:- Create a solid incident response framework and manage cyber incidents effectively- Learn to apply digital forensics tools and techniques to investigate cyber threats- Explore the real-world threat of ransomware and apply proper incident response techniques for investigation and recoveryBook Description:An understanding of how digital forensics integrates with the overall response to cybersecurity incidents is key to securing your organization's infrastructure from attacks. This updated third edition will help you perform cutting-edge digital forensic activities and incident response with a new focus on responding to ransomware attacks.After covering the fundamentals of incident response that are critical to any information security team, you'll explore incident response frameworks. From understanding their importance to creating a swift and effective response to security incidents, the book will guide you using examples. Later, you'll cover digital forensic techniques, from acquiring evidence and examining volatile memory through to hard drive examination and network-based evidence. You'll be able to apply these techniques to the current threat of ransomware. As you progress, you'll discover the role that threat intelligence plays in the incident response process. You'll also learn how to prepare an incident response report that documents the findings of your analysis. Finally, in addition to various incident response activities, the book will address malware analysis and demonstrate how you can proactively use your digital forensic skills in threat hunting.By the end of this book, you'll be able to investigate and report unwanted security breaches and incidents in your organization.What You Will Learn:- Create and deploy an incident response capability within your own organization- Perform proper evidence acquisition and handling- Analyze the evidence collected and determine the root cause of a security incident- Integrate digital forensic techniques and procedures into the overall incident response process- Understand different techniques for threat hunting- Write incident reports that document the key findings of your analysis- Apply incident response practices to ransomware attacks- Leverage cyber threat intelligence to augment digital forensics findingsWho this book is for:This book is for cybersecurity and information security professionals who want to implement digital forensics and incident response in their organizations. You'll also find the book helpful if you're new to the concept of digital forensics and looking to get started with the fundamentals. A basic understanding of operating systems and some knowledge of networking fundamentals are required to get started with this book.Table of Contents- Understanding Incident Response- Managing Cyber Incidents- Fundamentals of Digital Forensics- Investigation Methodology- Collecting Network Evidence- Acquiring Host-Based Evidence- Remote Evidence Collection- Forensic Imaging- Analyzing Network Evidence- Analyzing System Memory- Analyzing System Storage- Analyzing Log Files- Writing the Incident Report- Ransomware Preparation and Response- Ransomware Investigations- Malware Analysis for Incident Response- Leveraging Threat Intelligence- Threat Hunting

Bring your data to life with this accessible yet fast-paced introduction to MS Power BI, now in colorPurchase of the print or Kindle book includes a free eBook in PDF formatKey Features:Learn faster with practical examples of the latest features of Power BI, including navigator buttons, column-level security, visualizing goals, and moreMigrate your existing Excel and data analysis skills to Power BIBuild accurate analytical models, reports, and dashboards, now in colorBook Description:Updated with the latest features and improvements in Power BI, this fast-paced yet comprehensive guide will help you master the core concepts of data visualization quickly. You'll learn how to install Power BI, design effective data models, and build basic dashboards and visualizations to help you make better business decisions. This new edition will also help you bridge the gap between MS Excel and Power BI.Throughout this book, you'll learn how to obtain data from a variety of sources and clean it using the Power Query Editor. You'll also start designing data models to navigate and explore relationships within your data and building DAX formulas to make data easier to work with. Visualizing data is a key element of this book, so there's an emphasis on helping you get to grips with data visualization styles and enhanced digital storytelling.As you progress, you'll start building your own dataflows, gain an understanding of the Common Data Model, and automate dataflow refreshes to eradicate data cleaning inefficiency. You'll learn how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented.By the end of this Power BI book, you'll know how to get the most out of Power BI for better business intelligence.What You Will Learn:Connect to data sources using import and DirectQuery optionsUse Power Query Editor for data transformation and data cleansing processes, and write M and R scripts and dataflows to do the same in the cloudDesign effective reports with built-in and custom visuals to optimize user experienceImplement row-level and column-level security in your dashboardsAdminister a Power BI cloud tenant for your organizationUse built-in artificial intelligence capabilities to enhance Power BI data transformation techniquesDeploy your Power BI Desktop files into Power BI Report ServerWho this book is for:This book is for aspiring business intelligence and data professionals with a basic understanding of BI concepts, who want to learn Power BI quickly. Complete beginners with no BI background can also get plenty of useful information from this book.

Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning conceptsKey FeaturesExplore industry-tested machine learning techniques used to forecast millions of time seriesGet started with the revolutionary paradigm of global forecasting modelsGet to grips with new concepts by applying them to real-world datasets of energy forecastingBook DescriptionWe live in a serendipitous era where the explosion in the quantum of data collected and a renewed interest in data-driven techniques such as machine learning (ML), has changed the landscape of analytics, and with it, time series forecasting. This book, filled with industry-tested tips and tricks, takes you beyond commonly used classical statistical methods such as ARIMA and introduces to you the latest techniques from the world of ML. This is a comprehensive guide to analyzing, visualizing, and creating state-of-the-art forecasting systems, complete with common topics such as ML and deep learning (DL) as well as rarely touched-upon topics such as global forecasting models, cross-validation strategies, and forecast metrics. You'll begin by exploring the basics of data handling, data visualization, and classical statistical methods before moving on to ML and DL models for time series forecasting. This book takes you on a hands-on journey in which you'll develop state-of-the-art ML (linear regression to gradient-boosted trees) and DL (feed-forward neural networks, LSTMs, and transformers) models on a real-world dataset along with exploring practical topics such as interpretability. By the end of this book, you'll be able to build world-class time series forecasting systems and tackle problems in the real world.What you will learnFind out how to manipulate and visualize time series data like a proSet strong baselines with popular models such as ARIMADiscover how time series forecasting can be cast as regressionEngineer features for machine learning models for forecastingExplore the exciting world of ensembling and stacking modelsGet to grips with the global forecasting paradigmUnderstand and apply state-of-the-art DL models such as N-BEATS and AutoformerExplore multi-step forecasting and cross-validation strategiesWho this book is forThe book is for data scientists, data analysts, machine learning engineers, and Python developers who want to build industry-ready time series models. Since the book explains most concepts from the ground up, basic proficiency in Python is all you need. Prior understanding of machine learning or forecasting will help speed up your learning. For experienced machine learning and forecasting practitioners, this book has a lot to offer in terms of advanced techniques and traversing the latest research frontiers in time series forecasting.Table of ContentsIntroducing Time SeriesAcquiring and Processing Time Series DataAnalyzing and Visualizing Time Series DataSetting a Strong Baseline ForecastTime Series Forecasting as RegressionFeature Engineering for Time Series ForecastingTarget Transformations for Time Series ForecastingForecasting Time Series with Machine Learning ModelsEnsembling and StackingGlobal Forecasting ModelsIntroduction to Deep LearningBuilding Blocks of Deep Learning for Time SeriesCommon Modeling Patterns for Time SeriesAttention and Transformers for Time SeriesStrategies for Global Deep Learning Forecasting Models(N.B. Please use the Look Inside option to see further chapters)

Master QuickBooks® with ease! This book covers company file setup, A/R and A/P reports, payroll setup, bank transactions, and more. Optimize your bookkeeping today!Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesBecome proficient in QBO from a beginner level and implement the best practices to avoid costly errorsBenefit from over 500 pages of QuickBooks coverage, including detailed images and instructionsExplore advanced bookkeeping concepts such as managing payroll and handling end-year reportingBook DescriptionMastering QuickBooks® 2023 is a comprehensive guide that covers everything you need to know to master QuickBooks, from setting up your accounts and managing your transactions to generating reports and integrating with other software. With step-by-step instructions, real-world examples, and practical tips and tricks, this book is designed to help small business owners, independent contractors, and bookkeepers optimize their financial management and streamline their business operations.What you will learnCreate a company file and set up accountsCustomize forms and templatesManage customers and vendorsTrack inventory and sales taxReconcile bank and credit card accountsGenerate financial statements and reportsUse payroll features and integrate with other softwareSo why wait? Take control of your finances and transform your business with "Mastering QuickBooks® 2023."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.This guide is appropriate for beginners and also serves as an exhaustive resource for those with some bookkeeping experience and those studying to become a QuickBooks Certified User.Table of ContentsGetting Started with QuickBooks OnlineCompany File SetupMigrating to QuickBooks Online Customizing QuickBooks for Your Business Managing Customer, Vendor, and Products and Services ListsManaging Sales Tax Recording Sales Transactions in QuickBooks OnlineRecording Expenses in QuickBooks OnlineReconciling Uploaded Bank and Credit Card TransactionsReport Center OverviewBusiness Overview Reports Customer Sales Reports in QuickBooks Online Vendor and Expenses Reports Managing Employees and 1099 Contractors in QuickBooks OnlineClosing the Books in QuickBooks Online Finding Apps and Handling Special Transactions in QuickBooks OnlineQuickBooks Online Advanced Shortcuts and Test Drive QuickBooks Certified User Exam Objectives

Build, scale, and maintain microservices in Golang with ease.Key FeaturesCreate and organize well-structured Go microservicesLearn industry best practices and gain insights into Go microservice development tools, patterns, and solutionsCover hands-on Golang examples in each chapterBook DescriptionThis book covers the key benefits and common issues of microservices, helping you understand the problems microservice architecture helps to solve, the issues it usually introduces, and the ways to tackle them. You'll start by learning about the importance of using the right principles and standards in order to achieve the key benefits of microservice architecture. The following chapters will explain why the Go programming language is one of the most popular languages for microservice development and lay down the foundations for the next chapters of the book. You'll explore the foundational aspects of Go microservice development including service scaffolding, service discovery, data serialization, synchronous and asynchronous communication, deployment, and testing. After covering the development aspects, you'll progress to maintenance and reliability topics. The last part focuses on more advanced topics of Go microservice development including system reliability, observability, maintainability, and scalability. In this part, you'll dive into the best practices and examples which illustrate how to apply the key ideas to existing applications, using the services scaffolded in the previous part as examples. By the end of this book, you'll have gained hands-on experience with everything you need to develop scalable, reliable and performant microservices using Go.What you will learnGet familiar with the industry's best practices and solutions in microservice developmentUnderstand service discovery in the microservices environmentExplore reliability and observability principlesDiscover best practices for asynchronous communicationFocus on how to write high-quality unit and integration tests in Go applicationsUnderstand how to profile Go microservicesWho this book is forThis book is for all types of developers, from people interested in learning how to write microservices in Go to seasoned professionals who want to take the next step in mastering the art of writing scalable and reliable microservice-based systems. A basic understanding of Go will come in handy.Table of ContentsIntroduction to microservicesScaffolding a Go microserviceService discoverySerialization Synchronous communicationAsynchronous communicationStoring Service DataDeployment with KubernetesUnit and Integration TestingReliability overviewCollecting Service Telemetry DataSetting up Service AlertingAdvanced Topics

Begin building event-driven microservices, including patterns to handle data consistency and resiliencyKey Features:- Explore the benefits and tradeoffs of event-driven architectures with practical examples and use cases- Understand synergy with event sourcing, CQRS, and domain-driven development in software architecture- Build an end-to-end robust application architecture by the end of the bookBook Description:Event-driven architecture in Golang is an approach used to develop applications that shares state changes asynchronously, internally, and externally using messages. EDA applications are better suited at handling situations that need to scale up quickly and the chances of individual component failures are less likely to bring your system crashing down. This is why EDA is a great thing to learn and this book is designed to get you started with the help of step-by-step explanations of essential concepts, practical examples, and more.You'll begin building event-driven microservices, including patterns to handle data consistency and resiliency. Not only will you learn the patterns behind event-driven microservices but also how to communicate using asynchronous messaging with event streams. You'll then build an application made of several microservices that communicates using both choreographed and orchestrated messaging.By the end of this book, you'll be able to build and deploy your own event-driven microservices using asynchronous communication.What You Will Learn:- Understand different event-driven patterns and best practices- Plan and design your software architecture with ease- Track changes and updates effectively using event sourcing- Test and deploy your sample software application with ease- Monitor and improve the performance of your software architectureWho this book is for:This hands-on book is for intermediate-level software architects, or senior software engineers working with Golang and interested in building asynchronous microservices using event sourcing, CQRS, and DDD. Intermediate-level knowledge of the Go syntax and concurrency features is necessary.Table of Contents- Introduction to Event-Driven Architectures- Supporting Patterns In Brief- Design and Planning- Event Foundations- Tracking Changes with Event Sourcing- Asynchronous Connections- Event-carried State Transfer- Event Workflows- Transactional Messaging- Testing- Deploying applications to the cloud- Monitoring and Observability