Get search engines to rank your site as the No. 1 result with help from this comprehensive resourceWhat's the best hiding place in the world? The second page of Google's search results! If you want your website to be found, you need to make sure it appears prominently on search engines. In Search Engine Optimization All-in-One For Dummies, you'll find practical and easy-to-follow advice to increase your site's chances of landing that coveted No. 1 spot on Google, Bing, and other popular search engines. You'll discover how search engines decide which websites to rank highly, how to optimize your site for your best chance at the first page of organic results, what keywords to target, and even how to make your site internationally visible. You'll also find out how to: Optimize your webpage with responsive design that makes it irresistible to GoogleCreate a keyword strategy that keeps interested and engaged visitors flowing to your websiteGenerate the backlinks that will teach Google you're a trusted resource and help you climb the search engine results pagePerfect for webmasters, bloggers, e-commerce professionals, and anyone else looking for more online visibility, Search Engine Optimization All-in-One For Dummies is a must-have guide to improving the quantity and quality of your web traffic. Read more

This textbook examines database systems from the viewpoint of a software developer. This perspective makes it possible to investigate why database systems are the way they are. It is of course important to be able to write queries, but it is equally important to know how they are processed. We e.g. don’t want to just use JDBC; we also want to know why the API contains the classes and methods that it does. We need a sense of how hard is it to write a disk cache or logging facility. And what exactly is a database driver, anyway?The first two chapters provide a brief overview of database systems and their use. Chapter 1 discusses the purpose and features of a database system and introduces the Derby and SimpleDB systems. Chapter 2 explains how to write a database application using Java. It presents the basics of JDBC, which is the fundamental API for Java programs that interact with a database. In turn, Chapters 3-11 examine the internals of a typical database engine. Each chapter covers a different database component, starting with the lowest level of abstraction (the disk and file manager) and ending with the highest (the JDBC client interface); further, the respective chapter explains the main issues concerning the component, and considers possible design decisions. As a result, the reader can see exactly what services each component provides and how it interacts with the other components in the system. By the end of this part, s/he will have witnessed the gradual development of a simple but completely functional system. The remaining four chapters then focus on efficient query processing, and focus on the sophisticated techniques and algorithms that can replace the simple design choices described earlier. Topics include indexing, sorting, intelligent buffer usage, and query optimization.This text is intended for upper-level undergraduate or beginning graduate courses in Computer Science. It assumes that the reader is comfortable with basic Java programming; advanced Java concepts (such as RMI and JDBC) are fully explained in the text. The respective chapters are complemented by “end-of-chapter readings” that discuss interesting ideas and research directions that went unmentioned in the text, and provide references to relevant web pages, research articles, reference manuals, and books. Conceptual and programming exercises are also included at the end of each chapter. Students can apply their conceptual knowledge by examining the SimpleDB (a simple but fully functional database system created by the author and provided online) code and modifying it. Read more

Class-tested and coherent, this groundbreaking new textbook teaches web-era information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike. Read more

Build powerful, production-ready search applications using the incredible features of Elasticsearch.In Elasticsearch in Action, Second Edition you will discover: Architecture, concepts, and fundamentals of ElasticsearchInstalling, configuring, and running Elasticsearch and KibanaCreating an index with custom settingsData types, mapping fundamentals, and templatesFundamentals of text analysis and working with text analyzersIndexing, deleting, and updating documentsIndexing data in bulk, and reindexing and aliasing operationsLearning search concepts, relevancy scores, and similarity algorithms Elasticsearch in Action, Second Edition teaches you to build scalable search applications using Elasticsearch. This completely new edition explores Elasticsearch fundamentals from the ground up. You’ll deep dive into design principles, search architectures, and Elasticsearch’s essential APIs. Every chapter is clearly illustrated with diagrams and hands-on examples. You’ll even explore real-world use cases for full text search, data visualizations, and machine learning. Plus, its comprehensive nature means you’ll keep coming back to the book as a handy reference! Foreword by Shay Banon. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Create fully professional-grade search engines with Elasticsearch and Kibana! Rewritten for the latest version of Elasticsearch, this practical book explores Elasticsearch’s high-level architecture, reveals infrastructure patterns, and walks through the search and analytics capabilities of numerous Elasticsearch APIs. About the book Elasticsearch in Action, Second Edition teaches you how to add modern search features to websites and applications using Elasticsearch 8. In it, you’ll quickly progress from the basics of installation and configuring clusters, to indexing documents, advanced aggregations, and putting your servers into production. You’ll especially appreciate the mix of technical detail with techniques for designing great search experiences. What's inside Understanding search architectureFull text and term-level search queriesAnalytics and aggregationsHigh-level visualizations in KibanaConfigure, scale, and tune clusters About the reader For application developers comfortable with scripting and command-line applications. About the author Madhusudhan Konda is a full-stack lead engineer, architect, mentor, and conference speaker. He delivers live online training on Elasticsearch and the Elastic Stack. Table of Contents 1 Overview 2 Getting started 3 Architecture 4 Mapping 5 Working with documents 6 Indexing operations 7 Text analysis 8 Introducing search 9 Term-level search 10 Full-text searches 11 Compound queries 12 Advanced search 13 Aggregations 14 Administration 15 Performance and troubleshooting Read more

This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries.Data Science for Librarians introduces data science to students and practitioners in library services. Writing for academic, public, and school library managers; library science students; and library and information science educators, authors Yunfei Du and Hammad Rauf Khan provide a thorough overview of conceptual and practical tools for data librarian practice. Partially due to how quickly data science evolves, libraries have yet to recognize core competencies and skills required to perform the job duties of a data librarian. As society transitions from the information age into the era of big data, librarians and information professionals require new knowledge and skills to stay current and take on new job roles, such as data librarianship. Such skills as data curation, research data management, statistical analysis, business analytics, visualization, smart city data, and learning analytics are relevant in library services today and will become increasingly so in the near future. This text serves as a tool for library and information science students and educators working on data science curriculum design. Read more

Although service-level objectives (SLOs) continue to grow in importance, there’s a distinct lack of information about how to implement them. Practical advice that does exist usually assumes that your team already has the infrastructure, tooling, and culture in place. In this book, recognized SLO expert Alex Hidalgo explains how to build an SLO culture from the ground up.Ideal as a primer and daily reference for anyone creating both the culture and tooling necessary for SLO-based approaches to reliability, this guide provides detailed analysis of advanced SLO and service-level indicator (SLI) techniques. Armed with mathematical models and statistical knowledge to help you get the most out of an SLO-based approach, you’ll learn how to build systems capable of measuring meaningful SLIs with buy-in across all departments of your organization.Define SLIs that meaningfully measure the reliability of a service from a user’s perspectiveChoose appropriate SLO targets, including how to perform statistical and probabilistic analysisUse error budgets to help your team have better discussions and make better data-driven decisionsBuild supportive tooling and resources required for an SLO-based approachUse SLO data to present meaningful reports to leadership and your users Read more

Updates the premier textbook for students and librarians needing to know the landscape of current databases and how to search them.Librarians need to know of existing databases, and they must be able to teach search capabilities and strategies to library users. This practical guide introduces librarians to a broad spectrum of fee-based and freely available databases and explains how to teach them.The updated 6th edition of this well-regarded text covers new databases on the market as well as updates to older databases. It also explains underlying information structures and demonstrates how to search most effectively. It introduces readers to several recent changes, such as the move away from metadata-based indexing to full text indexing by vendors covering newspaper content. Business databases receive greater emphasis.As in the previous editions, this book takes a real-world approach, covering topics from basic and advanced search tools to online subject databases. Each chapter includes a thorough discussion, a recap, concrete examples, exercises, and points to consider, making it an ideal text for courses in database searching as well as a trustworthy professional resource. Read more

For database systems courses in Computer ScienceThis book introduces the fundamental concepts necessary for designing, using, and implementing database systems and database applications. Our presentation stresses the fundamentals of database modeling and design, the languages and models provided by the database management systems, and database system implementation techniques.The book is meant to be used as a textbook for a one- or two-semester course in database systems at the junior, senior, or graduate level, and as a reference book. The goal is to provide an in-depth and up-to-date presentation of the most important aspects of database systems and applications, and related technologies. It is assumed that readers are familiar with elementary programming and data-structuring concepts and that they have had some exposure to the basics of computer organization. Read more

Spatial Databases is the first unified, in-depth treatment of special techniques for dealing with spatial data, particularly in the field of geographic information systems (GIS). This book surveys various techniques, such as spatial data models, algorithms, and indexing methods, developed to address specific features of spatial data that are not adequately handled by mainstream DBMS technology. The book also reviews commercial solutions to geographic data handling: ArcInfo, ArcView, and Smallworld GISs; and two extensions to the relational model, PostgreSQL and Oracle Spatial. The authors examine these underlying GIS technologies, assess their strengths and weaknesses, and consider specific uses for which each product is best suited.* Examines the strengths of various query languages and approaches to query processing.* Explains the use of computational geometry in spatial databases GISs, providing necessary background and an in-depth look at key algorithms.* Covers spatial access methods, including the R-tree and several space-driven structures, and is filled with dozens of helpful illustrations. Read more

Minimize AI hallucinations and build accurate, custom generative AI pipelines with RAG using embedded vector databases and integrated human feedbackPurchase of the print or Kindle book includes a free eBook in PDF formatKey FeaturesImplement RAG’s traceable outputs, linking each response to its source document to build reliable multimodal conversational agentsDeliver accurate generative AI models in pipelines integrating RAG, real-time human feedback improvements, and knowledge graphsBalance cost and performance between dynamic retrieval datasets and fine-tuning static dataBook DescriptionRAG-Driven Generative AI provides a roadmap for building effective LLM, computer vision, and generative AI systems that balance performance and costs.This book offers a detailed exploration of RAG and how to design, manage, and control multimodal AI pipelines. By connecting outputs to traceable source documents, RAG improves output accuracy and contextual relevance, offering a dynamic approach to managing large volumes of information. This AI book shows you how to build a RAG framework, providing practical knowledge on vector stores, chunking, indexing, and ranking. You’ll discover techniques to optimize your project’s performance and better understand your data, including using adaptive RAG and human feedback to refine retrieval accuracy, balancing RAG with fine-tuning, implementing dynamic RAG to enhance real-time decision-making, and visualizing complex data with knowledge graphs.You’ll be exposed to a hands-on blend of frameworks like LlamaIndex and Deep Lake, vector databases such as Pinecone and Chroma, and models from Hugging Face and OpenAI. By the end of this book, you will have acquired the skills to implement intelligent solutions, keeping you competitive in fields from production to customer service across any project.What you will learnScale RAG pipelines to handle large datasets efficientlyEmploy techniques that minimize hallucinations and ensure accurate responsesImplement indexing techniques to improve AI accuracy with traceable and transparent outputsCustomize and scale RAG-driven generative AI systems across domainsFind out how to use Deep Lake and Pinecone for efficient and fast data retrievalControl and build robust generative AI systems grounded in real-world dataCombine text and image data for richer, more informative AI responsesWho this book is forThis book is ideal for data scientists, AI engineers, machine learning engineers, and MLOps engineers. If you are a solutions architect, software developer, product manager, or project manager looking to enhance the decision-making process of building RAG applications, then you’ll find this book useful.Table of ContentsWhy Retrieval Augmented Generation?RAG Embedding Vector Stores with Deep Lake and OpenAIBuilding Index-Based RAG with LlamaIndex, Deep Lake, and OpenAIMultimodal Modular RAG for Drone TechnologyBoosting RAG Performance with Expert Human FeedbackScaling RAG Bank Customer Data with PineconeBuilding Scalable Knowledge-Graph-Based RAG with Wikipedia API and LlamaIndexDynamic RAG with Chroma and Hugging Face LlamaEmpowering AI Models: Fine-Tuning RAG Data and Human FeedbackRAG for Video Stock Production with Pinecone and OpenAI Read more

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Preparing for your financial accounting exam? Make the grade with this SAP S/4HANA 1909 and 2020 certification study guide! From general ledger accounting to financial closing, this guide reviews the key technical and functional knowledge you need to get a high score on your SAP S/4HANA for Financial Accounting Associates exam. Explore test methodology, key concepts for each topic area, and practice questions and answers. Your path to financial accounting certification begins here! * Learn about the SAP S/4HANA Finance certification test structure and how to prepare * Review the key topics covered in each portion of your exam * Test your knowledge with practice questions and answers * Exams C_TS4FI_1909 and C_TS4FI_2020 The Test Before you sit for your SAP S/4HANA certification, you’ll need to know what’s on the test. This guide follows the exact structure of the exam, so deepen your knowledge of financial accounting and walk through topics new to exams C_TS4FI_1909 and C_TS4FI_2020. Core Content Review major subject areas like general ledger accounting, asset accounting, financial closing, and process integration. Then master important terminology and key takeaways for each subject. Q&A After reviewing each chapter, solidify your knowledge with questions and answers for each section and improve your test-taking skills. *Exam C_TS4FI_1909 *Exam C_TS4FI_2020 *Deployment *General ledger accounting *Accounts payable (AP) *Accounts receivable (AR) *Asset accounting *Financial closing *Document parking *Validations and substitutions *Bank account management Read more

Master data management by effectively utilizing the features of Azure SQL database.Key FeaturesLearn to automate common management tasks with PowerShell.Understand different methods to generate elastic pools and shards to scale Azure SQL databases.Learn to develop a scalable cloud solution through over 40 practical activities and exercises. Book DescriptionDespite being the cloud version of SQL Server, Azure SQL Database and Azure SQL Managed Instance stands out in various aspects when it comes to management, maintenance, and administration. Updated with the latest Azure features, Professional Azure SQL Managed Database Administration continues to be a comprehensive guide for becoming proficient in data management.The book begins by introducing you to the Azure SQL managed databases (Azure SQL Database and Azure SQL Managed Instance), explaining their architecture, and how they differ from an on-premises SQL server. You will then learn how to perform common tasks, such as migrating, backing up, and restoring a SQL Server database to an Azure database.As you progress, you will study how you can save costs and manage and scale multiple SQL databases using elastic pools. You will also implement a disaster recovery solution using standard and active geo-replication. Finally, you will explore the monitoring and tuning of databases, the key features of databases, and the phenomenon of app modernization.By the end of this book, you will have mastered the key aspects of an Azure SQL database and Azure SQL managed instance, including migration, backup restorations, performance optimization, high availability, and disaster recovery.What You Will LearnUnderstanding Azure SQL database configuration and pricing optionsProvisioning a new SQL database or migrating an existing on-premises SQL Server database to an Azure SQL databaseBacking up and restoring an Azure SQL databaseSecuring and scaling an Azure SQL databaseMonitoring and tuning an Azure SQL databaseImplementing high availability and disaster recovery with an Azure SQL databaseManaging, maintaining, and securing managed instancesWho this book is forThis book is designed to benefit database administrators, database developers, or application developers who are interested in developing new applications or migrating existing ones with Azure SQL database.Prior experience of working with an on-premise SQL Server or Azure SQL database along with a basic understanding of PowerShell scripts and C# code is necessary to grasp the concepts covered in this book. Read more

Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 20th century are a bottleneck for working effectively with the variety of data and advanced analytical use cases that organizations have today. This book provides the approach and methods to ensure continuous rapid use of data to create analytical data products and steer decision making.Practical DataOps shows you how to optimize the data supply chain from diverse raw data sources to the final data product, whether the goal is a machine learning model or other data-orientated output. The book provides an approach to eliminate wasted effort and improve collaboration between data producers, data consumers, and the rest of the organization through the adoption of lean thinking and agile software development principles.This book helps you to improve the speed and accuracy of analytical application development through data management and DevOps practices that securely expand data access, and rapidly increase the number of reproducible data products through automation, testing, and integration. The book also shows how to collect feedback and monitor performance to manage and continuously improve your processes and output. What You Will LearnDevelop a data strategy for your organization to help it reach its long-term goalsRecognize and eliminate barriers to delivering data to users at scaleWork on the right things for the right stakeholders through agile collaborationCreate trust in data via rigorous testing and effective data managementBuild a culture of learning and continuous improvement through monitoring deployments and measuring outcomesCreate cross-functional self-organizing teams focused on goals not reporting linesBuild robust, trustworthy, data pipelines in support of AI, machine learning, and other analytical data productsWho This Book Is ForData science and advanced analytics experts, CIOs, CDOs (chief data officers), chief analytics officers, business analysts, business team leaders, and IT professionals (data engineers, developers, architects, and DBAs) supporting data teams who want to dramatically increase the value their organization derives from data. The book is ideal for data professionals who want to overcome challenges of long delivery time, poor data quality, high maintenance costs, and scaling difficulties in getting data science output and machine learning into customer-facing production. Read more

Unlock the Power of Cloud Storage with Dropbox!In a world where digital files are central to both personal and professional life, cloud storage has become indispensable. Cloud Storage Made Simple: Your Guide to Dropbox is the ultimate resource for anyone looking to master Dropbox, one of the most popular cloud storage platforms available today.Whether you’re a beginner just getting started or an experienced user seeking to optimize your workflow, this guide will show you how to store, share, and collaborate with ease. With easy-to-follow instructions and expert tips, you'll learn how to:Set up and navigate your Dropbox accountUpload, organize, and manage your files effortlesslyCollaborate with teams in real-time and share files securelyMaximize Dropbox’s advanced features, including integrations with other toolsKeep your data safe with top-notch security featuresPacked with practical advice and step-by-step guidance, this book will help you make the most of your Dropbox experience. Whether you’re managing personal documents or collaborating on business projects, you’ll find all the tools you need to stay organized and efficient.Take control of your digital life today—your files are just a click away! Read more

Master Docker with a Visual Guide – Learn in Just 1 Week!Are you ready to dive into Docker and master containerization quickly? Whether you're a beginner, a developer, or a DevOps professional, this step-by-step visual guide simplifies Docker concepts and helps you gain hands-on experience.With real-world case studies, clear explanations, and practical exercises, this book will help you confidently build, deploy, and manage containers in Linux and cloud environments.What Will You Learn?By the end of this guide, you will have a comprehensive understanding of Docker and be able to apply it effectively in software development and deployment. Here’s what you’ll gain:Core Docker Fundamentals: Learn what Docker is, how containers work, and how they compare to virtual machines.Setting Up a Docker Environment: Install Docker on your system, configure Docker CLI, and understand basic commands to interact with containers.Working with Docker Images and Containers: Create, manage, and optimize Docker images using Dockerfiles and learn the container lifecycle.Networking and Storage in Docker: Configure container communication using Docker networking models and persist data with Docker volumes.Building and Sharing Docker Images: Learn best practices for creating efficient images and how to push them to registries like Docker Hub.Managing Multi-Container Applications: Use Docker Compose to orchestrate multi-container applications efficiently.Production Deployment: Deploy Dockerized applications in production environments.Chapter Structure:Chapter 1 (Day 1): Introduction to DockerChapter 2 (Day 2): Getting Started with DockerChapter 3 (Day 3): Docker Images and ContainersChapter 4 (Day 4): Docker Networking and StorageChapter 5 (Day 5): Building and Sharing Docker ImagesChapter 6 (Day 6): Docker Compose and Deployment PracticeWith step-by-step visual explanations, real-world examples, and downloadable resources, this book is your ultimate guide to mastering Docker efficiently.Start Your Docker Journey Today! Read more

This handbook offers a comprehensive review of the state-of-the-art research achievements in the field of data centers. Contributions from international, leading researchers and scholars offer topics in cloud computing, virtualization in data centers, energy efficient data centers, and next generation data center architecture.  It also comprises current research trends in emerging areas, such as data security, data protection management, and network resource management in data centers. Specific attention is devoted to industry needs associated with the challenges faced by data centers, such as various power, cooling, floor space, and associated environmental health and safety issues, while still working to support growth without disrupting quality of service. The contributions cut across various IT data technology domains as a single source to discuss the interdependencies that need to be supported to enable a virtualized, next-generation, energy efficient, economical, and environmentally friendly data center. This book appeals to a broad spectrum of readers, including server, storage, networking, database, and applications analysts, administrators, and architects. It is intended for those seeking to gain a stronger grasp on data center networks: the fundamental protocol used by the applications and the network, the typical network technologies, and their design aspects. The Handbook of Data Centers is a leading reference on design and implementation for planning, implementing, and operating data center networks. Read more

Data is getting bigger and more complex by the day, and so are your choices in handling it. Explore some of the most cutting-edge databases available - from a traditional relational database to newer NoSQL approaches - and make informed decisions about challenging data storage problems. This is the only comprehensive guide to the world of NoSQL databases, with in-depth practical and conceptual introductions to seven different technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new chapter on DynamoDB and updated content for each chapter.While relational databases such as MySQL remain as relevant as ever, the alternative, NoSQL paradigm has opened up new horizons in performance and scalability and changed the way we approach data-centric problems. This book presents the essential concepts behind each database alongside hands-on examples that make each technology come alive.With each database, tackle a real-world problem that highlights the concepts and features that make it shine. Along the way, explore five database models - relational, key/value, columnar, document, and graph - from the perspective of challenges faced by real applications. Learn how MongoDB and CouchDB are strikingly different, make your applications faster with Redis and more connected with Neo4J, build a cluster of HBase servers using cloud services such as Amazon's Elastic MapReduce, and more. This new edition brings a brand new chapter on DynamoDB, updated code samples and exercises, and a more up-to-date account of each database's feature set.Whether you're a programmer building the next big thing, a data scientist seeking solutions to thorny problems, or a technology enthusiast venturing into new territory, you will find something to inspire you in this book. What You Need: You'll need a *nix shell (Mac OS or Linux preferred, Windows users will need Cygwin), Java 6 (or greater), and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database. Read more

This book is devoted to the design and analysis of techniques enabling intelligent and dynamic cooperation and communication among agents in a distributed environment. A flexible theoretical formalism is developed in detail and it is demonstrated how this approach can be used for the design of agent architectures in practice. The formal part of this work is based on a variant of the BDI logic introduced by Georgeff and Rao. This book, for the first time, outlines this formalism in some depth. The most important practical benefit provided is the concept of cooperation protocols allowing the representation of various methods of cooperation and possible patterns of dialogue. Read more

A comprehensive and fully visual guide to Microsoft Power BITeach Yourself VISUALLY Power BI collects all the resources you need to master the everyday use of Microsoft's powerful data visualization software and delivers them in a single, easy-to-use volume. Fully illustrated, step-by-step instructions are combined with crystal-clear screenshots that walk you through the basic and advanced functions of Microsoft Power BI.Teach Yourself VISUALLY Power BI offers the best visual learning techniques with complete source material about the interface and substance of Power BI, as well as:Stepwise guidance on working with, transforming, and processing data sourcesInstructions for customizing data visualizations to create informative and presentation-ready charts and graphsFull-color, two-page tutorials on the more advanced features of Power BI, including app integrations and data access with DAXThe fastest, easiest way for visual learners to get a handle on Microsoft Power BI, Teach Yourself VISUALLY Power BI is a can't-miss resource, loaded with useful tips for newbies and experts alike. Read more