“…Skip the novice stage and the expensive, hard–to–fix mistakes...go straight to seasoned pro on the hottest cloud–computing framework with Pro Hadoop. Your productivity will blow your managers away…”

“…Topics include network security, personal data security, cloud computing, mobile computing, preparing for an incident, incident response, evidence handling, Internet usage, and security certifications. …”

“…You'll see how NoSQL systems can leverage the resources of modern cloud computing and multiple-CPU data centers. The final chapters show you how to choose the right NoSQL technologies for your own needs…”

“…Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science from the stories, ideas, shop talk, and forecasts of its preeminent practitioners across diverse industries: social network (Yann LeCun, Facebook); professional network (Daniel Tunkelang, LinkedIn); venture capital (Roger Ehrenberg, IA Ventures); enterprise cloud computing and neuroscience (Eric Jonas, formerly Salesforce.com); newspaper and media (Chris Wiggins, The New York Times); streaming television (Caitlin Smallwood, Netflix); music forecast (Victor Hu, Next Big Sound); strategic intelligence (Amy Heineike, Quid); environmental big data (André Karpištšenko, Planet OS); geospatial marketing intelligence (Jonathan Lenaghan, PlaceIQ); advertising (Claudia Perlich, Dstillery); fashion e-commerce (Anna Smith, Rent the Runway); specialty retail (Erin Shellman, Nordstrom); email marketing (John Foreman, MailChimp); predictive sales intelligence (Kira Radinsky, SalesPredict); and humanitarian nonprofit (Jake Porway, DataKind). …”

“…With the rise of DevOps, low-cost cloud computing, and container technologies, the way Java developers approach development today has changed dramatically. …”

Tabla de Contenidos: “…Cover -- Credits -- About the Author -- Acknowledgments -- About the Reviewer -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: Getting Started - DevOps Concepts, Tools, and Technologies -- Understanding the DevOps movement -- DevOps with the changing times -- The waterfall model -- The agile model -- Collaboration -- Cloud computing - the disruptive innovation -- Why DevOps? …”

Tabla de Contenidos:

“…This book provides a variety of perspectives on how technology innovations such as fog, edge and dew computing, 5G networks, and distributed intelligence are making us rethink conventional cloud computing to support the Internet of Things. Much of this book focuses on technical aspects of the Internet of Things, however, clear methodologies for mapping the business value of the Internet of Things are still missing. …”

“…Technologies such as blockchain, cloud computing, mobile technologies, big data analytics and social media therefore have perhaps more potential in this industry and area of business than any other. …”

“…Digitization and technologies such as AI, robotic process automation, extended reality, cloud computing, big data, blockchains, etc. are automating, augmenting and adding jobs. …”

“…Machine Learning for Managers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing. This book introduces a collection of the most important fundamental concepts of machine learning and its associated fields. …”

“…A service-oriented architecture is fundamental to many new IT applications, from web development to social software and cloud computing. The same principles can be applied to every aspect of the service-oriented enterprise – not just in IT. …”

“…Knowledge discovery services, based on the availability of huge operation and application data and on the exploitation of data mining techniques, support and enable largescale knowledge discovery applications on service-oriented architectures such as Web servers, Grids, and Cloud computing platforms. This new approach can be referred to as service-oriented knowledge discovery. …”

“…Chapters cover load-balanced clusters, database replication, caching configuration, content delivery networks, infinite-scale file storage, and cloud system administration. Cloud computing has dramatically changed the landscape of web hosting. …”

“…While Robotic Process Automation (RPA) has been around for about 20 years, it has hit an inflection point because of the convergence of cloud computing, big data and AI. This book shows you how to leverage RPA effectively in your company to automate repetitive and rules-based processes, such as scheduling, inputting/transferring data, cut and paste, filling out forms, and search. …”

Tabla de Contenidos: “…SECURITY INCIDENT MANAGEMENTLEGAL FRAMEWORK; SECURITY STANDARDS AND PROCEDURES; POINTERS FOR ACTIVITIES IN THIS CHAPTER; 4 PROCEDURAL AND PEOPLE SECURITY CONTROLS; PEOPLE; USER ACCESS CONTROLS; TRAINING AND AWARENESS; POINTERS FOR ACTIVITIES IN THIS CHAPTER; 5 TECHNICAL SECURITY CONTROLS; PROTECTION FROM MALICIOUS SOFTWARE; NETWORKS AND COMMUNICATIONS; EXTERNAL SERVICES; CLOUD COMPUTING; IT INFRASTRUCTURE; POINTERS FOR ACTIVITIES IN THIS CHAPTER; 6 SOFTWARE DEVELOPMENT AND LIFE CYCLE; TESTING, AUDIT AND REVIEW; SYSTEMS DEVELOPMENT AND SUPPORT; POINTERS FOR ACTIVITIES IN THIS CHAPTER…”

Tabla de Contenidos: “…Welcome to networking ; Network infrastructure ; Switches, routers, and VLANS ; Servers and virtualization ; Cloud computing -- Book 2: Understanding network protocols. …”

Tabla de Contenidos: “…Contents; About the Author; Acknowledgments; Preface; Chapter 1: The Internet; Packet Switching, IP, and TCP; HTTP and Using the Internet; Conclusion; Chapter 2: Hosting and the Cloud; Hosting; Hosting Considerations; The Different Types of Hosting; The Cloud; Benefits of Cloud Computing; Disadvantages of the Cloud; Conclusion; Chapter 3: The Back End: Programming Languages; Classifying Programming Languages by Level; Processing High-Level Languages; Other Taxonomies of High-Level Languages; Choosing the Right Language; Technical and Design Considerations; Practical Considerations; Conclusion…”

Tabla de Contenidos: “…20-pin to 24-pin motherboard adapter -- Redundant power supply -- Modular power supply -- Wattage rating -- Exam essentials -- 3.6 Given a scenario, deploy and configure multifunction devices/printers and settings -- Properly unboxing a device - setup location considerations -- Use appropriate drivers for a given OS -- Device connectivity -- Public/shared devices -- Configuration settings -- Security -- Network scan services -- Automatic document feeder (ADF)/flatbed scanner -- Exam essentials -- 3.7 Given a scenario, install and replace printer consumables -- Laser -- Inkjet -- Thermal -- Impact -- Exam essentials -- Review Questions -- Chapter 4 Virtualization and Cloud Computing -- 4.1 Summarize cloud computing concepts -- Common cloud models -- Cloud characteristics -- Desktop virtualization -- Exam essentials -- 4.2 Summarize aspects of client-side virtualization -- Purpose of virtual machines -- Exam essentials -- Review Questions -- Chapter 5 Hardware and Network Troubleshooting -- 5.1 Given a scenario, apply the best practice methodology to resolve problems -- Always consider corporate policies, procedures, and impacts before implementing changes -- 1. …”

Tabla de Contenidos: “…Disconnected operations -- Summary -- Chapter 4: Network Edge Architecture -- Definitions -- NFV -- NFV considerations -- SDN -- VNF, NFV, SDN, and edge computing -- Underlay and overlay networks -- Network traffic management -- MEC -- Network edge architecture -- RAN -- CSPs and hyperscalers -- Sample architectures -- Manufacturing scenario -- Healthcare scenario -- Campus network scenario -- Summary -- Chapter 5: End-to-End Edge Architecture -- IT and OT convergence -- AI and edge computing -- Industrial edge scenario -- Manufacturing scenario -- Retail edge scenario -- Retail store scenario -- Network slicing -- Example scenario -- Edge reference architecture -- The cloud -- The network -- The edge -- Edge and distributed cloud computing -- Distributed cloud computing -- The scenario -- Summary -- Part 3: Related Considerations and Concluding Thoughts -- Chapter 6: Data Has Weight and Inertia -- Suggested pre-reading material -- Data encryption -- Motivations for encrypting data -- Protecting data without making it difficult to use -- Ensuring that data modifications are noticeable -- Data storage and management -- Strategies for defining and enforcing data policies -- Usage options ranging from real to synthetic data -- Rules of thumb for retaining data, or not -- Using data to build machine learning (ML) models -- The promise of foundation models -- How small and efficient can we make models? …”