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A Patterns Approach to Designing Distributed Systems and Solving Common Implementation Problems More and more enterprises today are dependent on cloud services from providers like AWS, Microsoft Azure, and GCP. They also use products, such as Kafka and Kubernetes, or databases, such as YugabyteDB, Cassandra, MongoDB, and Neo4j, that are distributed by nature. Because these distributed systems are inherently stateful systems, enterprise architects and developers need to be prepared for all the things that can and will go wrong when data is stored on multiple servers--from process crashes to network delays and unsynchronized clocks. Patterns of Distributed Systems describes a set of patterns that have been observed in mainstream open-source distributed systems. Studying the common problems and the solutions that are embodied by the patterns in this guide will give you a better understanding of how these systems work, as well as a solid foundation in distributed system design principles. Featuring real-world code examples from systems like Kafka and Kubernetes, these patterns and solutions will prepare you to confidently traverse open-source codebases and understand implementations you encounter "in the wild." Review the building blocks of consensus algorithms, like Paxos and Raft, for ensuring replica consistency in distributed systems Understand the use of logical timestamps in databases, a fundamental concept for data versioning Explore commonly used partitioning schemes, with an in-depth look at intricacies of two-phase-commit protocol Analyze mechanisms used in implementing cluster coordination tasks, such as group membership, failure detection, and enabling robust cluster coordination Learn techniques for establishing effective network communication between cluster nodes. Along with enterprise architects and data architects, software developers working with cloud services such as Amazon S3, Amazon EKS, and Azure CosmosDB or GCP Cloud Spanner will find this set of patterns to be indispensable. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Offering a rigorous and critical coverage, this textbook introduces students to the central concepts, ideas, theories and findings in every major branch of psychology.

A personal code for bringing up happy, confident children Some parents make it look easy. They always seem to know the right things to do and say, however tricky the situation. They have a seemingly instinctive ability to raise happy, confident, and well-balanced children. Is there something these parents know that the rest of don't? Is it something we could all learn? The answer is a resounding yes. They know the Rules of parenting . The Rules of Parenting are the golden principles that will guide you smoothly through the everyday challenges of raising children. In this new edition, Richard Templar has added 10 new Rules to help you bring your whole family - across all the generations - even closer together.

Prepare for Microsoft Exam AZ-305 and help demonstrate your real-world expertise in designing cloud and hybrid solutions that run on Microsoft Azure, including identity, governance, monitoring, data storage, business continuity, and infrastructure. Designed for modern IT professionals, this Exam Ref focuses on the critical thinking and decision-...

For courses in Introductory Statistics.Statistics for technology, careers and lifeEssentials of Statistics helps students of all majors understand the role of statistics in our world. Data science is growing exponentially, and statistics is essential to careers from phys ed to law, business and more. From vaccine trials to elections and self-driving cars, statistics shapes our lives.The 7th Edition uses the latest and best methods of professional statisticians. It presents topics used in data science and many other applications, with the very large data sets now common in current culture. It includes new and interesting exercises, examples, data sets and Chapter Problems, and much more.Hallmark features of this titleReal dataMore than 90% of all examples, exercises, and problems use real data.Data setsincrease statistical literacy. Larger data sets in the 7th Edition provide experience that aligns with what students are likely to do in future careers.Emphasis on interpreting resultsrather than just obtaining answers helps students develop statistical literacy and arrive at practical conclusions. Worked examples model this approach.Application and interpretationYour Turn featurein many examples directs students to a relevant exercise so they can immediately apply what they've learned.Flowchartsthroughout simplify and clarify complex concepts and procedures.The optional print Student Workbookoffers additional examples, concept exercises, and vocabulary exercises for each chapter.New and updated features of this titleNew content: Approximately 65% of Exercises, 57% of Examples and 100% of Chapter Problems are new to the 7th Edition.New Data Sets in Appendix B: Data sets are expanded from 32 data sets to 46, with 20 sets that are new (such as Internet Traffic, Queues, Commute Times, Candies, Taxis, Car Data and Disney World Wait Times). Significantly larger data sets in the 7th Edition are essential as students enter the age of big data and data science.New types of exercises: The Cumulative Review Exercises near the end of Chapters 9, 10, and 11 consist of open-ended questions that present students with a data set. Students are then asked to pose a key question relevant to the data, identify a procedure for addressing that question, and analyze the data to form a conclusion.34 New Margin Essays highlight real-world topics,Big (or Very Large) Data Projects are new to the 7th Edition. Found near the end of each chapter, these ask students to think critically while using large data sets.New Chapter Problem icon marks Examples that relate to the Chapter Problem, to show how different statistical concepts and procedures can be applied to the real-world issue highlighted in the chapter.

For courses in educational research and research methods. A practical, step-by-step core research text Balancing coverage of qualitative, quantitative and combined methods, Educational Research offers a truly inclusive and integrated overview of the processes involved in planning, conducting and evaluating research. It first examines the general steps in the research process and then details the procedures for conducting specific types of quantitative, qualitative and mixed methods studies. The 7th Edition features significantly expanded coverage of mixed methods design; new and updated research examples; new research design tables; and more.

Get to grips with key Statistical concepts Statistics without Maths for Psychology, 9th edition is your essential guide to navigating what can be a daunting topic for Psychology students. This textbook will not only give you a core understanding of Statistics, but will also give you the confidence to analyse data within your studies and beyond.

This is not your typical management guideit's gooey, graphic, and downright monstrous. Ever been ambushed by the Yes Yeti or cornered at the coffee machine by an Energy Draining Dracula? Learn how to slay it at work by facing the monsters within and around you. A laugh-out-loud guide to mastering the most monstrous of management challenges.