The Java Workshop. Learn object-oriented programming and kickstart your career in software development

David Cuartielles, Andreas Göransson, Eric Foster-Johnson

Java is a versatile, popular programming language used across a wide range of industries. Learning how to write effective Java code can take your career to the next level, and The Java Workshop will help you do just that. This book is designed to take the pain out of Java coding and teach you everything you need to know to be productive in building real-world software.The Workshop starts by showing you how to use classes, methods, and the built-in Collections API to manipulate data structures effortlessly. You’ll dive right into learning about object-oriented programming by creating classes and interfaces and making use of inheritance and polymorphism. After learning how to handle exceptions, you’ll study the modules, packages, and libraries that help you organize your code. As you progress, you’ll discover how to connect to external databases and web servers, work with regular expressions, and write unit tests to validate your code. You’ll also be introduced to functional programming and see how to implement it using lambda functions. By the end of this Workshop, you’ll be well-versed with key Java concepts and have the knowledge and confidence to tackle your own ambitious projects with Java.

Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale

Jayanth Kumar M J

Feature store is one of the storage layers in machine learning (ML) operations, where data scientists and ML engineers can store transformed and curated features for ML models. This makes them available for model training, inference (batch and online), and reuse in other ML pipelines. Knowing how to utilize feature stores to their fullest potential can save you a lot of time and effort, and this book will teach you everything you need to know to get started.Feature Store for Machine Learning is for data scientists who want to learn how to use feature stores to share and reuse each other's work and expertise. You’ll be able to implement practices that help in eliminating reprocessing of data, providing model-reproducible capabilities, and reducing duplication of work, thus improving the time to production of the ML model. While this ML book offers some theoretical groundwork for developers who are just getting to grips with feature stores, there's plenty of practical know-how for those ready to put their knowledge to work. With a hands-on approach to implementation and associated methodologies, you'll get up and running in no time.By the end of this book, you’ll have understood why feature stores are essential and how to use them in your ML projects, both on your local system and on the cloud.

Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions

Sakti Mishra

Amazon EMR, formerly Amazon Elastic MapReduce, provides a managed Hadoop cluster in Amazon Web Services (AWS) that you can use to implement batch or streaming data pipelines. By gaining expertise in Amazon EMR, you can design and implement data analytics pipelines with persistent or transient EMR clusters in AWS.This book is a practical guide to Amazon EMR for building data pipelines. You'll start by understanding the Amazon EMR architecture, cluster nodes, features, and deployment options, along with their pricing. Next, the book covers the various big data applications that EMR supports. You'll then focus on the advanced configuration of EMR applications, hardware, networking, security, troubleshooting, logging, and the different SDKs and APIs it provides. Later chapters will show you how to implement common Amazon EMR use cases, including batch ETL with Spark, real-time streaming with Spark Streaming, and handling UPSERT in S3 Data Lake with Apache Hudi. Finally, you'll orchestrate your EMR jobs and strategize on-premises Hadoop cluster migration to EMR. In addition to this, you'll explore best practices and cost optimization techniques while implementing your data analytics pipeline in EMR.By the end of this book, you'll be able to build and deploy Hadoop- or Spark-based apps on Amazon EMR and also migrate your existing on-premises Hadoop workloads to AWS.

IBM Cognos 8 Planning. Engineer a clear-cut strategy for achieving best-in-class results using IBM Cognos 8 Planning with this book and

Rich Babaran, Ned Riaz, Jason Edwards

Business planning is no longer just about defining goals, identifying critical issues, and then mapping out strategies. In today's dynamic and highly competitive business environment, companies with complex business models want their abstract strategies turned into discrete, executable plans. They want information from the field to reach decision makers in real-time so that they can fine-tune their plans as events unfold. IBM Cognos 8 Planning offers just that.This book provides you with everything you need to know for building planning models using IBM Cognos 8 Planning. After reading this book, you can begin your journey into model building bringing with you a perspective that comes from three of the most seasoned IBM Cognos Planning consultants in the business.In this book, you will learn how to build planning models using IBM Cognos Planning's modeling tool, Analyst. We introduce you to key objects in Analyst that let you define, store, and move data. Then we show how you can deploy the model to hundreds or thousands of users using IBM Cognos Planning's web-based tool, Contributor. We demonstrate some of the things you can do as an administrator and as a user. Finally, we show the automation tools that you can use to maintain and support your models. As we go through this, we will share with you tips and tricks and insights from our experience with real implementations.

Drupal 6 Search Engine Optimization. Rank high in search engines with professional SEO tips, modules, and best practices for Drupal web sites

Ben Finklea

The earlier a site appears in the search results list, the more visitors it will receive from the search engine. Despite several advantages, many Drupal sites suffer with poor search engine standings. Perhaps you are aware of the importance of SEO for increasing traffic to your site, but do you know how to apply it to your Drupal site? Here comes the first book about search engine optimization for Drupal sites.This practical, step-by-step guide takes the mystery out of Drupal search engine optimization (SEO) by showing you the tricks of today's top marketing pros to achieve top ranking in the search engines. This isn't a book of Drupal SEO theory ñ it's a practical guide showing you which modules to install, which settings to use, and dozens of the most closely guarded tricks of the trade to get your web site optimized, higher in the search engines, and more profitable.With this book and basic Drupal 6 knowledge ñ how to log in, create content, and install modules ñ you can build a perfectly search engine optimized web site. Each chapter uses easy, step-by-step instructions to walk you through the Drupal SEO modules, configurations, and content you will need to increase traffic on your web site. You start by reviewing the modules and tools that you should use to optimize your site, how to set up your analytics, and so on. Each subsequent chapter gives detailed instructions on implementing these features in Drupal. Later chapters cover topics like site organization, A/B testing, and automatic content tagging to maximize SEO and increase the conversion rate of your web site. When you have completed the book, you will have implemented the changes to your site required to rank well in the search engines. If you want to maximize the return on investment of your Drupal 6 web site and gain a significant advantage over competitors who are not using Drupal, then this book is for you. Imagine how great you'll feel when your site is optimized to increase the number of visitors and convert them into paying customers.

Azure for Decision Makers. The essential guide to Azure for business leaders

Jack Lee, Jason Milgram, David Rendón

Azure for Decision Makers provides a comprehensive overview of the latest updates in cloud security, hybrid cloud and multi-cloud solutions, and cloud migration in Azure. This book is a must-have introduction to the Microsoft Azure cloud platform, demonstrating the substantial scope of digital transformation and innovation that can be achieved with Azure's capabilities.The first set of chapters will get you up to speed with Microsoft Azure's evolution before showing you how to integrate it into your existing IT infrastructure. Next, you’ll gain practical insights into application migration and modernization, focusing mainly on migration planning, implementation, and best practices. Throughout the book, you’ll get the information you need to spearhead a smooth migration and modernization process, detailing Azure infrastructure as a service (IaaS) deployment, infrastructure management, and key application architectures. The concluding chapters will help you to identify and incorporate best practices for cost optimization and management, Azure DevOps, and Azure automation.By the end of this book, you’ll have learned how to lead end-to-end Azure operations for your organization and effectively cost-optimize your processes ─ from the planning and cloud migration stage through to troubleshooting.

Transformers for Natural Language Processing. Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Denis Rothman

The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers.The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face.The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification.By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets.

Building Full Stack DeFi Applications. A practical guide to creating your own decentralized finance projects on blockchain

Samuel Zhou

Enter the world of Decentralized Finance (DeFi) with Building Full Stack DeFi Applications. Understand how this blockchain-based financial technology, designed to manage crypto assets, runs independently without centralized financial institutions like banks and brokerages, eliminating the fees that banks and other financial companies charge for using their services. This book will show you how DeFi solutions are built with smart contracts running on blockchains and how they allow users to gain and earn crypto assets based on the trust of the smart contracts.This book uncovers the inner workings of DeFi by guiding you through the mathematical foundations and teaching you how to build real-world DeFi products with Solidity and JavaScript. As you progress through the chapters, you’ll learn how to implement smart contracts of liquidity pools to trade cryptocurrencies and implement staking, including farming features that allow users to earn. You’ll also find out how to create asset pools that allow users to lend and borrow cryptocurrencies and generate interest. Additionally, you’ll discover how to use Web3 libraries to build the frontend of DeFi products.By the end of this book, you’ll will be well acquainted with popular tools, libraries, and design patterns for implementing a full-stack DeFi application with Web3 and Solidity.

QlikView Unlocked. Unlock more than 50 amazing tips and tricks to enhance your QlikView skills

Andrew Dove, Roger Stone

QlikView Unlocked will provide you with new insights to get the very best from QlikView. This book will help you to develop skills to work with data efficiently. We will cover all the secrets of unleashing the full power of QlikView, which will enable you to make better use of the tool and create better results for future projects. In the course of this book, we will walk you through techniques and best practices that will enable you to be more productive. You will gain quick insights into the tool with the help of short steps called ”keys,” which will help you discover new features of QlikView. Moving on you will learn new techniques for data visualization, scripting, data modeling, and more. This book will then cover best practices to help you establish an efficient system with improved performance. We will also teach you some tricks that will help you speed up development processes, monitor data with dashboards, and so on.By the end of this book, you will have gained beneficial tips, tricks, and techniques to enhance the overall experience of working with QlikView.

AWS Observability Handbook. Monitor, trace, and alert your cloud applications with AWS’ myriad observability tools

Phani Kumar Lingamallu, Fabio Braga de Oliveira

As modern application architecture grows increasingly complex, identifying potential points of failure and measuring end user satisfaction, in addition to monitoring application availability, is key. This book helps you explore AWS observability tools that provide end-to-end visibility, enabling quick identification of performance bottlenecks in distributed applications.You’ll gain a holistic view of monitoring and observability on AWS, starting from observability basics using Amazon CloudWatch and AWS X-Ray to advanced ML-powered tools such as AWS DevOps Guru. As you progress, you'll learn about AWS-managed open source services such as AWS Distro for OpenTelemetry (ADOT) and AWS managed Prometheus, Grafana, and the ELK Stack. You’ll implement observability in EC2 instances, containers, Kubernetes, and serverless apps and grasp UX monitoring. With a fair mix of concepts and examples, this book helps you gain hands-on experience in implementing end-to-end AWS observability in your applications and navigating and troubleshooting performance issues with the help of use cases. You'll also learn best practices and guidelines, such as how observability relates to the Well-Architected Framework.By the end of this AWS book, you’ll be able to implement observability and monitoring in your apps using AWS’ native and managed open source tools in real-world scenarios.

Swift Cookbook. Over 60 proven recipes for developing better iOS applications with Swift 5.3 - Second Edition

Keith Moon, Chris Barker

Swift is an exciting, multi-platform, general-purpose programming language, and with this book, you'll explore the features of its latest version, Swift 5.3.The book begins with an introduction to the basic building blocks of Swift 5.3, its syntax, and the functionalities of Swift constructs. You’ll then discover how Swift Playgrounds provide an ideal platform to write, execute, and debug your Swift code. As you advance through the chapters, the book will show you how to bundle variables into tuples or sets, order your data with an array, store key-value pairs with dictionaries, and use property observers. You’ll also get to grips with the decision-making and control structures in Swift, examine advanced features such as generics and operators, and explore functionalities outside of the standard library. Once you’ve learned how to build iOS applications using UIKit, you'll find out how to use Swift for server-side programming, run Swift on Linux, and investigate Vapor. Finally, you'll discover some of the newest features of Swift 5.3 using SwiftUI and Combine to build adaptive and reactive applications, and find out how to use Swift to build and integrate machine learning models along with Apple’s Vision Framework.By the end of this Swift book, you'll have discovered solutions to boost your productivity while developing code using Swift 5.3.

Kubernetes - An Enterprise Guide. Master containerized application deployments, integrate enterprise systems, and achieve scalability - Third Edition

Marc Boorshtein, Scott Surovich, Ed Price

Kubernetes – An Enterprise Guide, Third Edition, provides a practical and up-to-date resource for navigating modern cloud-native technologies. This edition covers advanced Kubernetes deployments, security best practices, and key strategies for managing enterprise workloads efficiently.The book explores critical topics such as virtual clusters, container security, and secrets management, offering actionable insights for running Kubernetes in production environments. Learn how to transition to microservices with Istio, implement GitOps and CI/CD for streamlined deployments, and enhance security using OPA/Gatekeeper and KubeArmor.Designed for professionals, this guide equips you with the knowledge to integrate Kubernetes with industry-leading tools and optimize business-critical applications. Stay ahead in the evolving cloud landscape with strategies that drive efficiency, security, and scalability.

Learning Continuous Integration with Jenkins

Nikhil Pathania

In past few years, Agile software development has seen tremendous growth across the world. There is huge demand for software delivery solutions that are fast yet flexible to frequent amendments. As a result, CI and continuous delivery methodologies are gaining popularity. Jenkins’ core functionality and flexibility allows it to fit in a variety of environments and can help streamline the development process for all stakeholders.This book starts off by explaining the concepts of CI and its significance in the Agile world with a whole chapter dedicated to it. Next, you’ll learn to configure and set up Jenkins. You’ll gain a foothold in implementing CI and continuous delivery methods. We dive into the various features offered by Jenkins one by one exploiting them for CI. After that, you’ll find out how to use the built-in pipeline feature of Jenkins. You’ll see how to integrate Jenkins with code analysis tools and test automation tools in order to achieve continuous delivery. Next, you’ll be introduced to continuous deployment and learn to achieve it using Jenkins.Through this book’s wealth of best practices and real-world tips, you'll discover how easy it is to implement a CI service with Jenkins.

Threat Modeling Gameplay with EoP. A reference manual for spotting threats in software architecture

Brett Crawley, Adam Shostack

Are you looking to navigate security risks, but want to make your learning experience fun? Here's a comprehensive guide that introduces the concept of play to protect, helping you discover the threats that could affect your software design via gameplay.Each chapter in this book covers a suit in the Elevation of Privilege (EoP) card deck (a threat category), providing example threats, references, and suggested mitigations for each card. You’ll explore the methodology for threat modeling—Spoofing, Tampering, Repudiation, Information Disclosure, and Elevation of Privilege (S.T.R.I.D.E.) with Privacy deck and the T.R.I.M. extension pack. T.R.I.M. is a framework for privacy that stands for Transfer, Retention/Removal, Inference, and Minimization. Throughout the book, you’ll learn the meanings of these terms and how they should be applied. From spotting vulnerabilities to implementing practical solutions, the chapters provide actionable strategies for fortifying the security of software systems.By the end of this book, you will be able to recognize threats, understand privacy regulations, access references for further exploration, and get familiarized with techniques to protect against these threats and minimize risks.

Moodle 3.x Teaching Techniques. Creative ways to build powerful and effective online courses with Moodle 3.0 - Third Edition

Susan Smith Nash

Moodle, the world's most popular, free open-source Learning Management System (LMS) has released several new features and enhancements in its latest 3.0 release. More and more colleges, universities, and training providers are using Moodle, which has helped revolutionize e-learning with its flexible, reusable platform and components. This book brings together step-by-step, easy-to-follow instructions to leverage the full power of Moodle 3 to build highly interactive and engaging courses that run on a wide range of platforms including mobile and cloud.Beginning with developing an effective online course, you will write learning outcomes that align with Bloom's taxonomy and list the kinds of instructional materials that will work given one's goal. You will gradually move on to setting up different types of forums for discussions and incorporating multi-media from cloud-base sources. You will then focus on developing effective timed tests, self-scoring quizzes while organizing the content, building different lessons, and incorporating assessments. Lastly, you will dive into more advanced topics such as creating interactive templates for a full course by focussing on creating each element and create workshops and portfolios which encourage engagement and collaboration

Mathematica Data Analysis. Learn and explore the fundamentals of data analysis with power of Mathematica

Sergiy Suchok

There are many algorithms for data analysis and it’s not always possible to quickly choose the best one for each case. Implementation of the algorithms takes a lot of time. With the help of Mathematica, you can quickly get a result from the use of a particular method, because this system contains almost all the known algorithms for data analysis.If you are not a programmer but you need to analyze data, this book will show you the capabilities of Mathematica when just few strings of intelligible code help to solve huge tasks from statistical issues to pattern recognition. If you're a programmer, with the help of this book, you will learn how to use the library of algorithms implemented in Mathematica in your programs, as well as how to write algorithm testing procedure.With each chapter, you'll be more immersed in the special world of Mathematica. Along with intuitive queries for data processing, we will highlight the nuances and features of this system, allowing you to build effective analysis systems.With the help of this book, you will learn how to optimize the computations by combining your libraries with the Mathematica kernel.