eBooks de Aplicaciones, página 10 de 43

Unleash the Power of AWS Serverless Services for Scalable, Resilient, and Reactive ArchitecturesKey Features? Master the art of leveraging AWS serverless services to build robust event-driven systems

Selkeasti Python on helposti sulava suomenkielinen opas ohjelmointiin Python-kielella. Python on yksi suosituimmista ohjelmointikielista, ja se soveltuu erityisen hyvin ohjelmoinnin perusteiden opettelemiseen. Kirja esittelee Python-ohjelmointia helppojen esimerkkien avulla, ja johdattelee kokeilemaan erilaisia tietojenkasittelyn tehtavia omalla tietokoneella. Python-osaaminen avaa uusia ovia seka ohjelmoinnin pariin uutena tuleville etta ohjelmointia jo jollain toisella kielella osaaville. Kirja on tarkoitettu kaikille Pythonista kiinnostuneille, ja se soveltuu itseopiskeluun seka oppilaitosten kurssikirjaksi.

Empower Your Infrastructure with SaltStack Automation.Key Features? In-depth exploration of SaltStack, from basic concepts to advanced deployment and management techniques.? Includes real-world examples and use cases to demonstrate the application of SaltStack in various practical scenarios.? Detailed instructions and clear explanations to follow along and implement SaltStack in your own environment.Book DescriptionUnleash the full potential of SaltStack to transform your infrastructure management and automation practices. This book is crafted to provide clear, step-by-step guidance, ensuring you can apply SaltStacks capabilities to automate and streamline your workflows effectively.Starting with the basics, the book introduces the fundamentals and SaltStack framework, guiding you through configuring and managing infrastructure with this versatile tool. Detailed chapters cover the architecture of SaltStack, various deployment models, and the prerequisites for setting up SaltStack masters and minions. You will learn how to effectively manage modules and perform remote execution tasks, mastering state file management and highstate concepts along the way.Dive deep into advanced features such as grains for targeting and customizing data, Jinja templates for dynamic configuration, and multi-environment infrastructure management. Understand the critical role of pillars in SaltStack, their configuration, and their importance in managing sensitive data and configuring the state tree.With a focus on practical application, this book includes real-world examples and scenarios to help you implement what you have learned. You will discover industry best practices for optimal configuration, deployment, maintenance, and scaling of SaltStack-managed infrastructure, ensuring your automation processes are efficient and robust.What you will learn? Gain a solid understanding of SaltStack, including its core principles and unique approach to configuration management.? Discover how to effectively use SaltStack to configure and manage your IT infrastructure.? Delve into the architecture of SaltStack, explore various deployment models for installing and configuring SaltStack in your environment.? Learn how to use SaltStack modules to perform remote execution tasks efficiently using different types of modules.? Learn about highstate concepts and the role of top files in organizing and managing complex states across your infrastructure.? Explore advanced features of SaltStack, such as grains for targeting and customizing data, and Jinja templates for dynamic configuration.Table of Contents1. Introduction to SaltStack and Its Framework2. Architecture and SaltStack Deployment3. Modules and Remote Execution with SaltStack4. State File Management5. HighState and Salt Tree6. Grains, Jinja Templates, and Environments7. Pillars8. The Salt Event-Driven Infrastructure9. Masterless and Agentless Salt IndexAbout the AuthorsYogesh Raheja is a certified DevOps and cloud expert with a decade of IT experience. He has expertise in technologies such as OS, source code management, build and release tools, continuous integration/deployment/ delivery tools, containers, configuration management tools, monitoring and logging tools, and public/private clouds.Shruti ...

Die Digitalisierung von Lieferketten und organisatorischen Prozessen sowie die Einbindung der Kunstlichen Intelligenz gehoren bereits heute zu den Schwerpunkt-Themen, welche die Transportlogistik unterstutzen werden. Die zukunftige Logistik benotigt fur ihre reibungslose Abwicklung der Prozesse unter weiter steigendem Termindruck und groer werdenden Engpassen bei der Besetzung von Arbeitsplatzen digitale Innovationen. Das Ziel dabei ist, den erwarteten Service Level in komplexer werdenden Markten kostengunstig und mit weniger verfugbarem Personal langfristig zu gewahrleisten.Eine Unterstutzung durch Technologien der Kunstlichen Intelligenz kann die Prozessqualitat und -effizienz erhohen. Dazu wird ein digitales Wissensnetz mit Metadaten und im Kontext angereichertem Informationsinhalt notwendig werden, welches aber hohe Sicherheitsanforderungen z.B. durch die Blockchain-Technologie erfordern. Nur so fuhren Digitalisierung und Kunstliche Intelligenz zu einer automatisierten und hochflexiblen Logistik, die ein vorausschauendes Handeln ermoglicht. Kapazitatsmanagement, Routenplanung, Netzplanung und ein Risikomanagement ermoglichen dem Transportlogistiker Angebote zu erstellen, die eine genaue Ausrichtung auf die Bedurfnisse des Kunden gewahrleisten. Automatisierung und Optimierung von Logistikprozessen uber KI erschliet hohe Effizienzpotenziale: Die heute schon schlanken Lieferkettenbeziehungen sind sehr klar und direkt, sodass Ursachen in einem Teilabschnitt sofortige Auswirkungen mit nur wenigen Verzerrungen z.B. durch Redundanzen oder Puffer auf weitere Abschnitte haben. Ursache-Wirkungsbeziehungen sind mit der Digitalisierung und der Kunstlichen Intelligenz sehr gut berechnenbar und vorhersagbar.Im Rahmen des diesjahrigen Osnabrucker Logistik Forums sollen praxisbewahrte Konzepte, Erfolgsfaktoren und Best Practices von Unternehmen vorgestellt und diskutiert werden, um den Nutzen und Optionen fur den eigenen Betrieb abschatzen zu konnen. Dabei richtet sich das Logistik Forum an Fachkrafte und Entscheidungstrager in der Logistik.

Building Tomorrows Enterprise: Embracing the Multi-Cloud Era with AWS, Azure, and GCP.Key Features? Comprehensive guide to multi-cloud architecture designs and best practices.? Expert insights on networking strategies and efficient DNS design for multi-cloud.? Emphasis on security, performance, cost-efficiency, and robust disaster recovery.Book DescriptionThis book is a comprehensive guide designed for IT professionals and enterprise architects, providing step-by-step instructions for creating and implementing tailored multi-cloud strategies. Covering key areas such as security, performance, cost management, and disaster recovery, it ensures robust and efficient cloud deployments.This book will help you learn to develop custom multi-cloud solutions that align with the organizations specific needs and goals. It includes in-depth discussions on cloud design patterns, architecture designs, and industry best practices. The book offers advanced networking strategies and DNS design insights to optimize system reliability, scalability, and performance. Practical tips help readers navigate the complexities of multi-cloud environments, ensuring seamless integration and management across different cloud platforms.Whether new to cloud concepts or an experienced practitioner looking to enhance your skills, this book equips you with the knowledge and tools needed to excel in your role. By following expert guidance and best practices, you can confidently design and implement multi-cloud strategies that foster innovation and operational excellence in your organization.What you will learn? Understand the fundamentals and benefits of multi-cloud environments.? Gain a solid grasp of essential cloud computing concepts and terminologies.? Learn how to establish a robust foundation for multi-cloud deployments.? Implement best practices for securing and governing multi-cloud architectures.? Design effective network solutions tailored for multi-cloud environments.? Optimize DNS design and management across multiple cloud platforms.? Apply architecture design patterns to enhance system reliability and scalability.Table of Contents1. Getting Started with Multi-Cloud2. Cloud Computing Concepts3. Building a Solid Foundation4. Security and Governance in Multi-Cloud5. Designing Network Solution6. DNS in a Multi-Cloud Landscape7. Architecture Design Pattern in Multi-Cloud8. FinOps in Multi-Cloud9. The Role of Automation and Orchestration10. Multi-Cloud Monitoring11. Resilience and Disaster Recovery IndexAbout the AuthorsBarjender Paul an accomplished IT professional, earned her Masters degree in Computer Application. She embarked on her career in software development, later transitioning to cloud technologies. With over a decade of experience, Barjender specializes in designing and architecting cloud solutions, ensuring optimal performance and security for diverse organizations.With extensive certifications in Azure, GCP, and AWS, she demonstrates expertise in cloud technologies. She holds a range of certifications including Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: DevOps Engineer Expert, Microsoft Certified: Cybersecurity Architect Expert, Microsoft Certified: Azure Security Engineer Associate, Microsoft...

ERLEBEN SIE DIE FASZINATION KI! - EIN VERSTANDLICHER WEGWEISER FUR ALLEKunstliche Intelligenz ist in aller Munde, aber haben Sie sich jemals gefragt, wie Sie sich in dieser faszinierenden Welt zurechtfinden konnen? Mochten Sie wissen, wie ChatGPT und Co. funktionieren, und wie Sie KI in Ihrem Alltag sinnvoll nutzen konnen? Dann ist dieses Buch genau das Richtige fur Sie!Kunstliche Intelligenz ist aus unserem Alltag nicht mehr wegzudenken. Sie steuert Roboter bei Operationen, schreibt Ubersetzungen, stellt Vertrage zusammen, produziert Kunst - und kann noch sehr viel mehr.Die revolutionare Technik weckt Begeisterung. Gleichzeitig fuhrt sie zu Fragen: Wie sicher sind meine Daten? Fuhrt die Nutzung zu rechtlichen und ethischen Problemen? Macht KI abhangig? Darf sie Waffen bedienen?Die KI-Experten Thorsten Vellmerk und Philipp Taller teilen im Buch ihre jahrelangen Erfahrungen auf verstandliche Weise. Ihr Wegweiser hilft vor allem Neugierigen, Berufstatigen und Alltagsnutzern...- die historischen Anfange der KI nachzuvollziehen,- die grundlegenden Funktionen zu verstehen,- die Zukunftstechnik zu entmystifizieren,- selbst KI auszuprobieren und auf eine sichere, alltagstaugliche Art zu nutzen (unabhangig vom beruflichen oder privaten Hintergrund), - durch Verstandnis und Akzeptanz von KI das wirtschaftliche Uberleben zu sichern.Werden Sie Teil der KI-Revolution und steuern Sie eine kulturelle Bereicherung, personliches Wachstum und neue Ufer des menschlichen Potenzials an!

Le passage du temps ne peut pas être arrêté. La vie ne sarrête pas, les anciennes technologies sont remplacées par de nouvelles de plus en plus sophistiquées, si simples et difficiles à comprendre à

Empower Your Data Insights with Javas Top Tools and Frameworks.Key Features? Explore diverse techniques and algorithms for data analytics using Java.? Learn through hands-on examples and practical applications in each chapter.? Master essential tools and frameworks such as JFreeChart for data visualization and Deeplearning4j for deep learning.Book DescriptionThis book is a comprehensive guide to data analysis using Java. It starts with the fundamentals, covering the purpose of data analysis, different data types and structures, and how to pre-process datasets. It then introduces popular Java libraries like WEKA and Rapidminer for efficient data analysis.The middle section of the book dives deeper into statistical techniques like descriptive analysis and random sampling, along with practical skills in working with relational databases (JDBC, SQL, MySQL) and NoSQL databases. It also explores various analysis methods like regression, classification, and clustering, along with applications in business intelligence and time series prediction.The final part of the book gives a brief overview of big data analysis with Java frameworks like MapReduce, and introduces deep learning with the Deeplearning4J library. Whether youre new to data analysis or want to improve your Java skills, this book offers a step-by-step approach with real-world examples to help you master data analysis using Java.What you will learn? Understand foundational principles and types of data analytics, including descriptive, diagnostic, predictive, and prescriptive analytics.? Master techniques for preprocessing data, including cleaning and munging, to prepare it for analysis.? Learn how to create various charts and plots including bar charts, histograms, and scatter plots for effective data visualization.? Explore Java-based libraries such as WEKA and Deeplearning4j for implementing machine learning algorithms.? Develop expertise in statistical techniques including hypothesis testing, regression (linear and polynomial), and probability distributions.? Acquire practical skills in SQL querying and JDBC for relational databases.? Explore applications in business intelligence and deep learning, including image recognition and natural language processing.Table of Contents1. Data Analytics Using Java2. Datasets3. Data Visualization4. Java Machine Learning Libraries5. Statistical Analysis6. Relational Databases7. Regression Analysis8. ClassificationAnalysis9. Sentiment Analysis10. Cluster Analysis11. Working with NoSQL Databases12. Recommender Systems13. Applications of Data Analysis14. Big Data Analysis with Java15. Deep Learning with Java IndexAbout the AuthorsAbhishek Kumar has been a pivotal figure in the design and development of complex enterprise-grade software for over 12 years. His professional journey has seen him contributing his extensive systems programming expertise to leading technology companies including Adobe, Intel, ARM, Samsung, and NVIDIA. Currently, he serves as a Senior Computer Scientist, where he continues to excel in his field.Abhishek is deeply passionate about teaching programming and machine learning. This passion is reflected in his authorship of the book Rust Crash Course and the creation of several success...

Systeme zur Orchestrierung von Ende-zu-Ende-Geschaftsprozessen, auch bekannt als Workflow- oder Business-Process-Management-Systeme (BPMS), bilden das Herzstuck der Prozessautomatisierung. Anhand zahlreicher Beispielprozesse lernen Sie, wie ein solches System funktioniert und wie man ausfuhrbare Prozesse entwickelt. Dazu werden die folgenden Aspekte ausfuhrlich dargestellt:- Modellierung des Ablaufs mit dem Modellierungsstandard BPMN- Verarbeitung und Speicherung von Daten in Prozessen- Festlegung und Zuordnung der Bearbeiterinnen und Bearbeiter- Gestaltung und Einbindung von Benutzungsdialogen- Zusammenspiel mehrerer Prozesse und Systeme- Einbindung von Entscheidungsregeln nach dem Standard DMN- Verknupfung mit Robotic-Process-Automation (RPA)Die vorgestellten Beispiele konnen von der Webseite zum Buch heruntergeladen und mit der kostenlosen Open-Source-Version des Systems "Bonita" ausgefuhrt werden.Die im Buch vermittelten Grundlagen sind allgemeingultig und unabhangig von einem bestimmten Softwareprodukt anwendbar.

Master Cisco Collaboration Infrastructure, One Chapter at a TimeKey Features Comprehensive lifecycle coverage of Cisco Collaboration Infrastructure. Practical application focus for real-world admin scenarios and troubleshooting. Includes numerous references and resources for holistic implementation and further exploration. Book Description This comprehensive book is designed to help IT professionals master the complex landscape of Cisco Collaboration Infrastructure. It covers a wide range of topics, from the basics of collaboration technologies and deployment models to advanced concepts like dial plan configuration, media resources, and conferencing. The book also explores the Cisco Webex suite, hybrid solutions, and edge servers, providing readers with a holistic understanding of Ciscos collaboration offerings. Readers will gain a deep understanding of signaling and media protocols, including SIP, RTP, and RTCP, as well as essential protocols like DTMF and fax over IP. The book also addresses security, compliance, and recovery strategies, ensuring that readers are well-equipped to handle the challenges of managing Cisco Collaboration Infrastructure in real-world scenarios. Throughout the book, practical examples and real-world insights are provided, along with an introduction to automation and APIs in the context of Cisco Collaboration solutions. By the end of this book, readers will have a comprehensive toolkit to excel in managing Cisco Collaboration Infrastructure, whether they are novice IT admins, professionals preparing for Cisco Collaboration exams, or experienced administrators looking to upgrade their skills. The book also includes additional resources and discusses emerging trends, ensuring that readers stay up-to-date with the latest developments in the field.What you will learn Gain practical skills to deploy and manage Ciscos collaboration tools, ensuring smooth operations and integration within your organizations infrastructure. Learn to set up and resolve issues with essential components like dial plans, media resources, and conferencing systems to ensure seamless communication. Understand and implement signaling and media protocols like SIP, RTP, and RTCP for effective Cisco Collaboration implementation. Develop strategies to protect and sustain your Cisco collaboration environment, addressing security concerns and maintaining operational health. Discover how to leverage APIs for automating routine tasks, improving efficiency, and enhancing the functionality of Cisco Collaboration tools. Stay updated with the latest advancements and trends in collaboration tech, ensuring your skills and knowledge remain current and relevant. Table of Contents 1. Introduction to Modern Collaboration Technologies 2. Understanding Cisco Collaboration Solutions 3. Managing Endpoints and Users 4. Mastering CUCM Call Control and Telephony Features 5. Dial Plans - Basics to Advance 6. Media Resources, Conferencing, and AV Solutions 7. Exploring Cisco Collaboration Cloud, Hybrid and Edge 8. Understanding Signaling and Media Protocols 9. Deep Dive - Signaling and Media Protocols 10. Security, Compliance and Recovery 11. Troubleshooting Techniques and Tools 12. Automation and APIs in Cisco Collaboration 13. Additional Res...

Questo testo propone un percorso didattico che, procedendo attraverso esempi, esercizi e problemi di difficolta crescente, presenta gli elementi fondamentali del linguaggio di programmazione C e, al tempo stesso, si sofferma ad analizzare gli aspetti algoritmici e di efficienza computazionale che conducono alla progettazione di soluzioni efficaci ed eleganti. Non si tratta dunque di un manuale sul linguaggio C, ma sarebbe riduttivo considerarlo come una semplice raccolta di esercizi. Litinerario suggerito nelle pagine di questo volume alterna continuamente la descrizione di nuove istruzioni e di nuove funzioni di libreria, a riflessioni di carattere metodologico per evidenziare le scelte progettuali adottate nella soluzione dei problemi proposti.

Human Proxies offer new directions to end-to-end encryption: End-A-to-End-Z encryption must be rethought when it turns out to be an End-B-to-End-Z encryption. And, Human Proxies raise questions that were neither answered by science, journalists nor the public.Regular Proxies on a network are forwarding Internet requests, e.g., to download a webpage. Also, in political and social settings a Proxy as an intermediate, deputy or representative with a similar function is given.Human Proxies now enable within the Encryption and Messenger Application Spot-On to choose a friend as a Human Proxy. The Spot-On program is a most modern and elaborated encryption suite available for several operation systems and provides many innovations in applied cryptography. It builds based on the Echo Protocol a cryptographic network, that is beyond Cryptographic Routing. With Human Proxies now a friend from the Messenger friends list sends out the chat message instead of the original sender.The construct of the "Inner Envelope" behind the Human Proxy function also creates new cryptographic challenges, provides plausible deniability to included nodes, and offers new perspectives in encryption, its analysis and decryption:As all messages in the network are encrypted, end-to-end encryption is new defined and gets with Human Proxies a potential second and plausible deniable start point. The essay in this book discusses some related aspects of Human Proxies and their referrings to encryption, networking, graph theory and comparable social and political processes of Proxies.This leads to a further general approach: Endpoints in Encryption are equipped by the application Spot-On with the vision of interoperability of endpoints in communications.| English & German language.

Dans le contexte de lInternet des Objets (IoT), la conception de services connectés nécessite une approche de bout en bout afin de répondre aux attentes des bénéficiaires de ces services et dadapter le fonctionnement des services a des conditions dexecution tres variees.Lapproche semantique proposee par cet ouvrage resulte dun travail de recherche appliquee qui a ete mene dans le cadre dune these de doctorat conduite par lauteure en collaboration avec Telecom ParisTech et EDF R&D (Electricite de France, Direction de la Recherche et Developpement).Cette approche offre un niveau dabstraction qui permet aux concepteurs de services de se concentrer sur les aspects fonctionnels des services et des objets. Elle sinscrit dans un cadre darchitecture plus large qui aborde, en plus du niveau semantique decrit dans cet ouvrage, des aspects plus operationnels de mise en oeuvre de ces memes services (niveau Artefacts) dans des environnements techniques heterogenes (niveau Ressources).En proposant une approche semantique de conception, cet ouvrage vise plusieurs objectifs qui peuvent etre regroupes en trois categories :- Decloisonner le monde actuel des services connectes en decouplant les services des objets et en permettant le partage des objets par plusieurs services connectes.- Permettre la composition des services connectes ou chaque service est conscient des objets, des services externes et des phenomenes physiques qui lentourent.- Sadresser plus particulierement aux beneficiaires des services connectes afin doptimiser lexperience utilisateur par des attentes mieux prises en compte et des automatismes respectueux des comportements humains.Lapproche semantique permet douvrir des perspectives au niveau de la mise en oeuvre des services de façon operationnelle, de la perception par les beneficiaires des services vers une meilleure collaboration et sur lapplication de lapproche semantique a dautres domaines tels que le batiment et la ville connectes.

Elevate Your Data Analytics Skills, Optimize Workflows, and Drive Informed Decision-Making Across the Spectrum of Data Professions!Key Features? Solve practical problems using SAS with real-world case studies that provide hands-on experience.? Clear, step-by-step tutorials that guide you through various SAS procedures, ensuring easy understanding and application.? Explore an extensive range of SAS capabilities, from basic data management to advanced analytics and reporting techniques.Book DescriptionThe "Ultimate Statistical Analysis System (SAS) for Data Analytics" is your go-to resource for mastering SAS, a powerful software suite for statistical analysis. This comprehensive book covers everything from the basics of SAS for data professionals to advanced topics like clustering analysis and association rules. With practical examples and clear explanations, this book equips readers with the knowledge and skills needed to excel in their roles as data scientists, analysts, researchers, and more.Whether youre a beginner looking to build a solid foundation in SAS or an experienced user seeking to expand your proficiency, this handbook has something for everyone. Youll learn essential techniques for importing, cleaning, and visualizing data, as well as conducting hypothesis testing, regression analysis, and inferential statistics. Advanced topics like SAS programming concepts and generating reports are also covered in detail, providing readers with the tools to tackle complex data challenges with confidence.With its accessible writing style and emphasis on real-world applications, this book is a practical guide that empowers readers to unlock the full potential of their data. Whether youre analyzing customer behavior, optimizing business processes, or conducting academic research, this handbook will be your trusted companion on the journey to mastering SAS and making informed decisions based on data-driven insights.What you will learn? Master the skills to import, clean, and transform data using SASs powerful data manipulation tools.? Gain the ability to conduct hypothesis testing to build regression models to analyze data relationships.? Learn to design and produce compelling data visualizations that effectively communicate your data findings.? Develop proficiency in advanced SAS programming techniques to tackle intricate analytical tasks.Table of Contents1. Introduction to SAS for Data Professionals2. Data Import and Export in SAS3. Data Cleaning and Transformation4. Data Visualizations with SAS5. Hypothesis Testing and Regression Analysis6. Descriptive and Inferential Statistics7. Advanced SAS Programming Concepts8. Clustering Analysis with PROC CLUSTER9. Association Rules in SAS10. Generating Reports in SAS IndexAbout the AuthorsVishesh Dhingra holds an MBA in Marketing from Bharati Vidyapeeth and a Bachelors in Computer Science and Engineering from Guru Gobind Singh Indraprastha University. He completed the Executive Course on Advanced Analytics at IIM Calcutta, enhancing his expertise in the field. With a career spanning renowned organizations such as EXL Service, Genpact, and Wipro Limited, Vishesh has honed his skills in diverse domains including banking, healthcare, and insurance.With over 7 years of experienc...

Discover the world of data engineering in an on-premises setting versus the Azure cloudKey Features? Explore Azure data engineering from foundational concepts to advanced techniques, spanning SQL databases, ETL processes, and cloud-native solutions.? Learn to implement real-world data projects with Azure services, covering data integration, storage, and analytics, tailored for diverse business needs.? Prepare effectively for Azure data engineering certifications with detailed exam-focused content and practical exercises to reinforce learning.Book DescriptionEmbark on a comprehensive journey into Azure data engineering with Ultimate Azure Data Engineering. Starting with foundational topics like SQL and relational database concepts, youll progress to comparing data engineering practices in Azure versus on-premises environments. Next, you will dive deep into Azure cloud fundamentals, learning how to effectively manage heterogeneous data sources and implement robust Extract, Transform, Load (ETL) concepts using Azure Data Factory, mastering the orchestration of data workflows and pipeline automation.The book then moves to explore advanced database design strategies and discover best practices for optimizing data performance and ensuring stringent data security measures. You will learn to visualize data insights using Power BI and apply these skills to real-world scenarios. Whether youre aiming to excel in your current role or preparing for Azure data engineering certifications, this book equips you with practical knowledge and hands-on expertise to thrive in the dynamic field of Azure data engineering.What you will learn? Master the core principles and methodologies that drive data engineering such as data processing, storage, and management techniques.? Gain a deep understanding of Structured Query Language (SQL) and relational database management systems (RDBMS) for Azure Data Engineering.? Learn about Azure cloud services for data engineering, such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Blob Storage.? Gain proficiency to orchestrate data workflows, schedule data pipelines, and monitor data integration processes across cloud and hybrid environments.? Design optimized database structures and data models tailored for performance and scalability in Azure.? Implement techniques to optimize data performance such as query optimization, caching strategies, and resource utilization monitoring.? Learn how to visualize data insights effectively using tools like Power BI to create interactive dashboards and derive data-driven insights.Table of Contents1. Introduction to Data Engineering2. Understanding SQL and RDBMS Concepts3. Data Engineering: Azure Versus On-Premises4. Azure Cloud Concepts5. Working with Heterogenous Data Sources6. ETL Concepts7. Database Design and Modeling8. Performance Best Practices and Data Security9. Data Visualization and Application in Real World10. Data Engineering Certification Guide IndexAbout the AuthorsAshish Agarwal currently works as an Engineering Architect in the Azure SQL Engineering team at Microsoft, where he works with large and complex SQL modernization projects spanning from SQL On-Premises to Azure IaaS and PaaS Platforms.He holds an Ho...

WordPress is a widely-used content management system (CMS) that has been empowering millions of websites since its launch in 2003. Initially created as a blogging platform, WordPress has grown into a comprehensive tool suitable for a variety of web projects, ranging from personal blogs and small business websites to large-scale e-commerce platforms and corporate sites.One of the standout features of WordPress is its user-friendly interface. The dashboard is intuitive and easy to navigate, making it accessible even for those with limited technical expertise. Additionally, WordPress offers a vast selection of themes and plugins, which enable users to customize the look and functionality of their websites without needing to write any code. These themes and plugins cater to a wide range of needs, from enhancing visual appeal to adding complex functionalities.WordPress is also designed with search engine optimization (SEO) in mind. It provides numerous tools and plugins to help improve a sites visibility on search engines, which is crucial for attracting and retaining visitors. The platform benefits from an active and supportive community of developers, designers, and users who contribute to forums, create documentation, and share tutorials, ensuring that help is readily available.

O livro contém uma cobertura aprofundada sobre tópicos relacionados à teoria da computação trabalhados em títulos de bacharel e mestrado de várias universidades. Uma quantidade suficiente de fundamen

Embark on a journey of AI mastery with "Gemini AI Prompt Engineering Mastery Playbook" by Dwayne Anderson. This comprehensive guide transcends conventional boundaries, offering not just prompts but gateways to diverse avenues of artificial intelligence application. The playbook seamlessly incorporates the latest AI technology, utilizing Gemini AIs dynamic capabilities to enhance the user experience and provide unparalleled inspiration.Inside, youll discover a treasure trove of 400 meticulously curated prompts designed for those seeking to master AI prompt engineering. Dive into the world of AI with prompts that unlock innovative strategies, techniques, and applications across multiple domains.Explore the realms of AI with four distinct categories of prompts: Cryptocurrency Prompt Template: Navigate the ever-evolving market and unlock AI-driven investment strategies. Freelancing Prompts Template: Unveil the secrets to crafting a thriving AI-powered freelance career. Affiliate Marketing Prompt Template: Demystify the art of using AI to turn online influence into a lucrative income stream. Dropshipping Prompts Template: Guide yourself through setting up an AI-enhanced dropshipping business, selecting winning products, and navigating the intricacies of this dynamic model.Unlike traditional guides, "Gemini AI Prompt Engineering Mastery Playbook" doesnt just provide answers; it sparks curiosity, fuels creativity, and invites you to forge your path to AI mastery. Engage with Gemini AI, not merely as a tool but as a companion in your journey toward AI expertise. Each prompt is a doorway to possibilities, beckoning you to explore, adapt, and transform ideas into tangible success.Prepare to unlock your innovative spirit, as Gemini AI becomes your ally in deciphering the language of AI. This isnt just a book; its your ticket to a world where ideas translate into action, and AI dreams materialize. Embrace the prompts, embrace the journey, and let the pages of "Gemini AI Prompt Engineering Mastery Playbook" be the catalyst for your breakthrough in artificial intelligence.

???? Dive into the world of iOS Forensics with our comprehensive book bundle: **iOS Forensics 101: Extracting Logical and Physical Data from iPhone, iPad, and Mac OS**! This essential collection comprises four meticulously crafted volumes that will elevate your expertise in digital investigations within Apples ecosystem.**Book 1: iOS Forensics 101 - Introduction to Digital Investigations**Begin your journey with a solid foundation in digital forensics. Explore the intricacies of iOS devices, learn essential methodologies, and grasp legal considerations critical to conducting effective investigations. From understanding device architecture to navigating forensic challenges, this volume prepares you for the complexities ahead.**Book 2: iOS Forensics 101 - Techniques for Extracting Logical Data**Unlock the secrets to extracting and analyzing logical data from iPhones, iPads, and Mac OS devices. Discover techniques for accessing iCloud backups, examining app data, and recovering user-generated content. With practical insights and hands-on guidance, master the tools needed to uncover crucial evidence while maintaining forensic integrity.**Book 3: iOS Forensics 101 - Mastering Physical Data Acquisition**Take your skills to the next level with advanced methods for acquiring comprehensive physical images of iOS devices. Delve into tools like GrayKey, Cellebrite UFED, and Checkm8 to bypass security measures, extract encrypted data, and capture detailed device images essential for in-depth forensic analysis. Become proficient in handling complex acquisition scenarios with confidence.**Book 4: iOS Forensics 101 - Expert Analysis and Case Studies**Immerse yourself in real-world applications and expert analysis through compelling case studies. Explore diverse scenariosfrom cybercrimes to corporate investigationsand witness how forensic methodologies translate into actionable intelligence and courtroom-ready evidence. Gain invaluable insights from seasoned professionals to sharpen your investigative prowess.?? Whether youre a novice starting your journey in digital forensics or a seasoned professional seeking to deepen your expertise, **iOS Forensics 101** is your ultimate companion. Equip yourself with essential knowledge, master advanced techniques, and learn from real-world examples that showcase the power of forensic investigation in the digital age.?? Dont miss out on this opportunity to elevate your skills and contribute to the pursuit of justice in the realm of digital investigations. Join the ranks of forensic experts worldwide who trust **iOS Forensics 101** to navigate complexities, uncover truth, and uphold integrity in every investigation. Start your journey today towards becoming a proficient iOS forensic examiner!?? Grab your bundle now and embark on a transformative learning experience with **iOS Forensics 101**. Your expertise awaits!

Empower Your .NET Journey with Machine LearningKey Features? Step-by-step guidance to help you navigate through various machine learning tasks and techniques with ML.NET.? Explore all aspects of ML.NET, from installation and configuration to model deployment.? Engage in practical exercises and real-world projects to solidify your understanding.Book DescriptionDive into the world of machine learning for data-driven insights and seamless integration in .NET applications with the Ultimate Machine Learning with ML.NET.The book begins with foundations of ML.NET and seamlessly transitions into practical guidance on installing and configuring it using essential tools like Model Builder and the command-line interface. Next, it dives into the heart of machine learning tasks using ML.NET, exploring classification, regression, and clustering with its versatile functionalities.It will delve deep into the process of selecting and fine-tuning algorithms to achieve optimal performance and accuracy. You will gain valuable insights into inspecting and interpreting ML.NET models, ensuring they meet your expectations and deliver reliable results. It will teach you efficient methods for saving, loading, and sharing your models across projects, facilitating seamless collaboration and reuse.The final section of the book covers advanced techniques for optimizing model accuracy and refining performance. You will be able to deploy your ML.NET models using Azure Functions and Web API, empowering you to integrate machine learning solutions seamlessly into real-world applications.What you will learn? Understand the basics of ML.NET and its capabilities in the machine learning landscape.? Gain practical experience with the ML.NET Model Builder and command-line interface (CLI) to efficiently create models.? Understand how to choose the most suitable algorithms and fine-tune them for optimal performance within ML.NET.Table of Contents1. Introduction to ML.NET2. Installing and Configuring ML.NET3. ML.NET Model Builder and CLI4. Collecting and Preparing Data for ML.NET5. Machine Learning Tasks in ML.NET6. Choosing and Tuning Machine Learning Algorithms in ML.NET7. Inspecting and Interpreting ML.NET Models8. Saving and Loading Models in ML.Net9. Optimizing ML.NET Models for Accuracy10. Deploying ML.NET Models with Azure Functions and Web API IndexAbout the AuthorsKalicharan Mahasivabhattu is a seasoned industry expert with over 21 years of experience working with leading global organizations primarily in oil and gas and healthcare. As a Certified Artificial Intelligence and Machine Learning Specialist, he has earned the moniker Serial Innovator for his ground-breaking ideas in deep learning, augmented reality, chatbots, and computer vision, all of which have garnered support from the innovation council. Kalis dedication to advancing the field extends to his engaging podcast, Talking AWS for Data Science, where he shares insights and discusses cutting-edge developments.Deepti Bandi is an experienced professional with over 17 years of exposure in the field of leveraging advanced analytics to drive business growth and decision- making. With a dual masters degree in Computational Mechanics and Structural Engineering, she possesses a uniq...