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Eureka Math - A Story of Functions: Algebra I (9) Student Edition Book #1 (modules 1-3)
by Great MindsEureka Math helps students truly understand mathematics and connect it to the real world, preparing them to solve problems they have not encountered.
Eureka Math Study Guide
by Great MindsEureka Math is a comprehensive, content-rich PreK-12 curriculum that follows the focus and coherence of the Common Core State Standards in Mathematics (CCSSM) and carefully sequences the mathematical progressions into expertly crafted instructional modules. The companion Study Guides to Eureka Math gather the key components of the curriculum for each grade into a single location, unpacking the standards in detail so that both users and non-users of Eureka Math can benefit equally from the content presented. Each of the Eureka Math Curriculum Study Guides includes narratives that provide educators with an overview of what students should be learning throughout the year, information on alignment to the instructional shifts and the standards, design of curricular components, approaches to differentiated instruction, and descriptions of mathematical models. The Study Guides can serve as either a self-study professional development resource or as the basis for a deep group study of the standards for a particular grade. For teachers who are new to the classroom or the standards, the Study Guides introduce them not only to Eureka Math but also to the content of the grade level in a way they will find manageable and useful. Teachers familiar with the Eureka Math curriculum will also find this resource valuable as it allows for a meaningful study of the grade level content in a way that highlights the coherence between modules and topics. The Study Guides allow teachers to obtain a firm grasp on what it is that students should master during the year. The Eureka Math Curriculum Study Guide, Grade 1 provides an overview of all of the Grade 1 modules, including Sums and Differences to 10; Introduction to Place Value Through Addition and Subtraction Within 20; Ordering and Comparing Length Measurements as Numbers; Place Value, Comparison, Addition and Subtraction to 40; Identifying, Composing, and Partitioning Shapes; and Place Value, Comparison, Addition and Subtraction to 100.
Eureka Math Study Guide: A Story of Units, Grade 5 (Common Core Mathematics)
by Great MindsEureka Math is a comprehensive, content-rich PreK–12 curriculum that follows the focus and coherence of the Common Core State Standards in Mathematics (CCSSM) and carefully sequences the mathematical progressions into expertly crafted instructional modules. The companion Study Guides to Eureka Math gather the key components of the curriculum for each grade into a single location, unpacking the standards in detail so that both users and non-users of Eureka Math can benefit equally from the content presented. <P><P> Each of the Eureka Math Curriculum Study Guides includes narratives that provide educators with an overview of what students should be learning throughout the year, information on alignment to the instructional shifts and the standards, design of curricular components, approaches to differentiated instruction, and descriptions of mathematical models. The Study Guides can serve as either a self-study professional development resource or as the basis for a deep group study of the standards for a particular grade. For teachers who are new to the classroom or the standards, the Study Guides introduce them not only to Eureka Math but also to the content of the grade level in a way they will find manageable and useful. Teachers familiar with the Eureka Math curriculum will also find this resource valuable as it allows for a meaningful study of the grade level content in a way that highlights the coherence between modules and topics. The Study Guides allow teachers to obtain a firm grasp on what it is that students should master during the year.<P> The Eureka Math Curriculum Study Guide, Grade 5 provides an overview of all of the Grade 5 modules, including Place Value and Decimal Fractions; Multi-Digit Whole Number and Decimal Fraction Operations; Addition and Subtraction of Fractions; Multiplication and Division of Fractions and Decimal Fractions; Addition and Multiplication with Volume and Areal; Problem Solving with the Coordinate Plane.
Eureka Math Study Guide: A Story of Units, Grade 3 (Common Core Mathematics)
by Great MindsEureka Math is a comprehensive, content-rich PreK–12 curriculum that follows the focus and coherence of the Common Core State Standards in Mathematics (CCSSM) and carefully sequences the mathematical progressions into expertly crafted instructional modules. The companion Study Guides to Eureka Math gather the key components of the curriculum for each grade into a single location, unpacking the standards in detail so that both users and non-users of Eureka Math can benefit equally from the content presented. <P><P> Each of the Eureka Math Curriculum Study Guides includes narratives that provide educators with an overview of what students should be learning throughout the year, information on alignment to the instructional shifts and the standards, design of curricular components, approaches to differentiated instruction, and descriptions of mathematical models. The Study Guides can serve as either a self-study professional development resource or as the basis for a deep group study of the standards for a particular grade. For teachers who are new to the classroom or the standards, the Study Guides introduce them not only to Eureka Math but also to the content of the grade level in a way they will find manageable and useful. Teachers familiar with the Eureka Math curriculum will also find this resource valuable as it allows for a meaningful study of the grade level content in a way that highlights the coherence between modules and topics. The Study Guides allow teachers to obtain a firm grasp on what it is that students should master during the year.<P> The Eureka Math Curriculum Study Guide, Grade 3 provides an overview of all of the Grade 3 modules, including Properties of Multiplication and Division and Solving Problems with Units of 2–5 and 10; Place Value and Problem Solving with Units of Measure; Multiplication and Division with Units of 0, 1, 6–9, and Multiples of 10; Multiplication and Area; Fractions as Numbers on the Number Line; and Collecting and Displaying Data.
European Digital Regulations (Intelligent Systems Reference Library #265)
by Markus Mueck Christophe GaieThis book offers a comprehensive exploration of the European Union's dynamic digital landscape with a specific interest on requirements for digital products to access the European Union Single Market. It delves into the latest regulations shaping the future of technology, from AI and cybersecurity to data privacy and digital markets. Currently, the European regulatory framework is indeed under substantial change with new essential requirements to be met, for example, to ensure robustness against an ever-increasing level of cybersecurity attacks. Furthermore, those requirements are likely to be taken up by other regions or will at least influence related debates, thus leading to global relevance. This book offers expert insights into European digital regulations, featuring real-world examples and case studies to help you navigate the regulatory landscape. It also provides a forward-looking perspective on emerging trends and challenges. Its content is essential for policymakers and regulators, business leaders and entrepreneurs, IT professionals and cybersecurity experts, academics and students, and concerned citizens. Whether readers are seeking to understand the implications of the AI Act, to ensure compliance with the GDPR, or to explore the potential of emerging technologies, this book provides the knowledge and tools readers need to succeed in the digital age. Finally, the authors outline how all stakeholders may engage and contribute to the implementation of the related regulations through development of so-called Harmonised Standards in the related European Standardisation Organisations.
European Immigration: A Sourcebook (Research In Migration And Ethnic Relations Ser.)
by Anna Triandafyllidou Ruby GropasFully updated and containing chapters on the new EU member states and the attempt to form a common EU migration policy, this new edition of European Immigration: A Sourcebook provides a comprehensive overview of the trends and developments in migration in all EU countries. With chapters following a common structure to facilitate direct international comparisons, it not only examines the internal affairs of each member state, but also explores both migratory trends within the EU itself and the implications for European immigration of wider global events, including the Arab Spring and the world financial crisis.
The European Mathematical Awakening: A Journey Through the History of Mathematics from 1000 to 1800
by Frank J. SwetzAbsorbing and entertaining, these thirty-two articles by distinguished educators offer a reader-friendly introduction to the history of mathematics. The newly corrected and updated essays cover eight centuries of discoveries, ranging from the medieval practice of finger calculus to the pioneering work of Leonhard Euler.Fascinating topics include the geometry behind the windows of Gothic churches, the development of complex numbers, the evolution of algebraic symbolism, and mathematical considerations on the trajectory of a cannon ball. Profiles of historic figures include Leonardo Fibonacci, Johannes Kepler, Isaac Newton, Galileo, the Bernoulli family, and other well- and less-known personalities, including mathematicians of the French Revolution and women in mathematics. Suitable for readers with no background in mathematics, this volume offers an excellent guide for high school students and college undergraduates as well as anyone with an interest in the history of mathematics.
European Real Estate: Asset Class Performance and Optimal Portfolio Construction
by Dilek PekdemirThis book provides a thorough overview of the European real estate Market. It evaluates the performance difference between countries and sectors, and what implications this has for optimal investment strategy within real estate asset classes.
The European Sovereign Debt Crisis and Its Impacts on Financial Markets
by Go Tamakoshi Shigeyuki HamoriThe global financial crisis saw many Eurozone countries bearing excessive public debt. This led the government bond yields of some peripheral countries to rise sharply, resulting in the outbreak of the European sovereign debt crisis. The debt crisis is characterized by its immediate spread from Greece, the country of origin, to its neighbouring countries and the connection between the Eurozone banking sector and the public sector debt. Addressing these interesting features, this book sheds light on the impacts of the crisis on various financial markets in Europe. This book is among the first to conduct a thorough empirical analysis of the European sovereign debt crisis. It analyses, using advanced econometric methodologies, why the crisis escalated so prominently, having significant impacts on a wide range of financial markets, and was not just limited to government bond markets. The book also allows one to understand the consequences and the overall impact of such a debt crisis, enabling investors and policymakers to formulate diversification strategies, and create suitable regulatory frameworks.
Evaluating Climate Change Impacts (Chapman And Hall/crc Applied Environmental Statistics Ser.)
by Vyacheslav Lyubchich, Yulia R. Gel, K. Halimeda Kilbourne, Thomas J. Miller, Nathaniel K. Newlands and Adam B. SmithEvaluating Climate Change Impacts discusses assessing and quantifying climate change and its impacts from a multi-faceted perspective of ecosystem, social, and infrastructure resilience, given through a lens of statistics and data science. It provides a multi-disciplinary view on the implications of climate variability and shows how the new data science paradigm can help us to mitigate climate-induced risk and to enhance climate adaptation strategies. This book consists of chapters solicited from leading topical experts and presents their perspectives on climate change effects in two general areas: natural ecosystems and socio-economic impacts. The chapters unveil topics of atmospheric circulation, climate modeling, and long-term prediction; approach the problems of increasing frequency of extreme events, sea level rise, and forest fires, as well as economic losses, analysis of climate impacts for insurance, agriculture, fisheries, and electric and transport infrastructures. The reader will be exposed to the current research using a variety of methods from physical modeling, statistics, and machine learning, including the global circulation models (GCM) and ocean models, statistical generalized additive models (GAM) and generalized linear models (GLM), state space and graphical models, causality networks, Bayesian ensembles, a variety of index methods and statistical tests, and machine learning methods. The reader will learn about data from various sources, including GCM and ocean model outputs, satellite observations, and data collected by different agencies and research units. Many of the chapters provide references to open source software R and Python code that are available for implementing the methods.
Evaluating Measurement Accuracy: A Practical Approach
by Semyon G. Rabinovich"Evaluating Measurement Accuracy, 2nd Edition" is intended for those who are concerned with measurements in any field of science or technology. It reflects the latest developments in metrology and offers new results, but is designed to be accessible to readers at different levels: scientists who advance the field of metrology, engineers and experimental scientists who use measurements as tool in their professions, students and graduate students in natural sciences and engineering, and, in parts describing practical recommendations, technicians performing mass measurements in industry, quality control, and trade. This book presents material from the practical perspective and offers solutions and recommendations for problems that arise in conducting real-life measurements. This new edition adds a method for estimating accuracy of indirect measurements with independent arguments, whose development Dr. Rabinovich was able to complete very recently. This method, which is called the Method of Enumeration, produces estimates that are no longer approximate, similar to the way the method of reduction described in the first edition removed approximation in estimating uncertainty of indirect measurements with dependent arguments. The method of enumeration completes addressing the range of problems whose solutions signify the emergence of the new theory of accuracy of measurements. A new method is added for building a composition of histograms, and this method forms a theoretical basis for the method of enumeration. Additionally, as a companion to this book, a concise practical guide that assembles simple step-by-step procedures for typical tasks the practitioners are likely to encounter in measurement accuracy estimation is available at SpringerLink.
Evaluating Voting Systems with Probability Models: Essays by and in Honor of William Gehrlein and Dominique Lepelley (Studies in Choice and Welfare)
by Mostapha Diss Vincent MerlinThis book includes up-to-date contributions in the broadly defined area of probabilistic analysis of voting rules and decision mechanisms. Featuring papers from all fields of social choice and game theory, it presents probability arguments to allow readers to gain a better understanding of the properties of decision rules and of the functioning of modern democracies. In particular, it focuses on the legacy of William Gehrlein and Dominique Lepelley, two prominent scholars who have made important contributions to this field over the last fifty years. It covers a range of topics, including (but not limited to) computational and technical aspects of probability approaches, evaluation of the likelihood of voting paradoxes, power indices, empirical evaluations of voting rules, models of voters’ behavior, and strategic voting. The book gathers articles written in honor of Gehrlein and Lepelley along with original works written by the two scholars themselves.
Evaluating What Works: An Intuitive Guide to Intervention Research for Practitioners
by Dorothy V. Bishop Paul ThompsonThose who work in allied health professions and education aim to make people’s lives better. Often, however, it is hard to know how effective this work has been: would change have occurred if there was no intervention? Is it possible we are doing more harm than good? To answer these questions and develop a body of knowledge about what works, we need to evaluate interventions. Objective intervention research is vital to improve outcomes, but this is a complex area, where it is all too easy to misinterpret evidence. This book uses practical examples to increase awareness of the numerous sources of bias that can lead to mistaken conclusions when evaluating interventions. The focus is on quantitative research methods, and exploration of the reasons why those both receiving and implementing intervention behave in the ways they do. Evaluating What Works: Intuitive Guide to Intervention Research for Practitioners illustrates how different research designs can overcome these issues, and points the reader to sources with more in-depth information. This book is intended for those with little or no background in statistics, to give them the confidence to approach statistics in published literature with a more critical eye, recognise when more specialist advice is needed, and give them the ability to communicate more effectively with statisticians. Key Features: Strong focus on quantitative research methods Complements more technical introductions to statistics Provides a good explanation of how quantitative studies are designed, and what biases and pitfalls they can involve.
Evaluation in Distance Education and E-Learning
by Valerie Ruhe Bruno ZumboWith the rapid proliferation of distance education and e-learning courses, the need is growing for a comprehensive, professional approach to evaluating their effectiveness. This indispensable book offers a road map to guide evaluation practice in these innovative learning environments. Providing practical, step-by-step guidelines and tools for conducting evaluation studies including how to deal with stakeholders, develop surveys and interview protocols, collect other scientific evidence, and analyze and blend mixed-methods data the work also features a template for writing high-quality reports. The "unfolding model" developed by the authors draws on Messick's influential assessment framework and applies it to program evaluation. Two case studies of actual programs (a distance learning course and an e-learning course) demonstrate the unfolding model in action.
Evaluation of the Achievement Levels for Mathematics and Reading on the National Assessment of Educational Progress
by National Academies of Sciences Engineering MedicineSince 1969, the National Assessment of Educational Progress (NAEP) has been providing policymakers, educators, and the public with reports on academic performance and progress of the nation’s students. The assessment is given periodically in a variety of subjects: mathematics, reading, writing, science, the arts, civics, economics, geography, U.S. history, and technology and engineering literacy. NAEP is given to representative samples of students across the U.S. to assess the educational progress of the nation as a whole. Since 1992, NAEP results have been reported in relation to three achievement levels: basic, proficient, and advanced. However, the use of achievement levels has provoked controversy and disagreement, and evaluators have identified numerous concerns. This publication evaluates the NAEP student achievement levels in reading and mathematics in grades 4, 8, and 12 to determine whether the achievement levels are reasonable, reliable, valid, and informative to the public, and recommends ways that the setting and use of achievement levels can be improved.
Evaluation Platform of Sustainability for Global Systems: Statistical Approach to Geospatial Information for Big Data Integration
by Aki-Hiro Sato Hiroe TsubakiThe authors of this book assert that Grid Square statistics, a method of aggregating data within a geographically defined Grid, may be an effective solution to approach geospatial data for big data integration. Grid Square statistics is a technique that allows us to collect and analyze data based on Grids and makes it easier to understand patterns and trends. Sustainability, a key concern for the future of our society, often involves balancing multiple independent objectives. These objectives and key performance indicators must be shared to solve multi-dimensional optimization problems with some constraints related to sustainability issues. However, many of these sustainability issues are challenges that are part of global systems, which are modeled as a complex system consisting of many components. Social, economic, and environmental aspects in our socio-economic systems require solutions designed for the sustainability of our society. These conditions imply that Big Data must contribute to evaluating our current situation, actions, and changes to continuously change our behavior and society based on a Plan-Do-Check-Action (PDCA) cycle. The PDCA cycle, also known as the Deming cycle, is a four-step management method used to improve processes and products continuously. We must understand how to construct a platform by using Big Data to do so. Thus, extracting meaningful information from Big Data is crucially important in the advanced information society. This book provides case studies based on Grid Square statistics. It shows their applications to socio-economic and environmental problems such as tourism, where we analyze visitor patterns to optimize resource allocation, SDGs indicator, where we monitor the sustainability of our socio-economic systems, and disaster management, where we face natural disaster to enhance preparedness. Finally, the book proposes a World Grid Square Statistics Reference Architecture for constructing data applications across organizations and domains and reports on design concepts, system architecture, and the implication of a data platform for World Grid Square data and statistics.
Evaluierte Lernumgebungen zum Modellieren (Realitätsbezüge Im Mathematikunterricht Ser.)
by Stanislaw Schukajlow Werner BlumDas Buch stellt empirisch gesicherte Erkenntnisse über Lernumgebungen im Bereich Modellieren vor. Dabei wird den Bestrebungen nach mehr Wissenschaftlichkeit einerseits und einer hinreichend ausführlichen Beschreibung der untersuchten Lernumgebungen andererseits Rechnung getragen. Die vorgestellten Ansätze zur Förderung der Modellierungskompetenz sind in die aktuelle Modellierungsdiskussion eingebunden und wurden mit qualitativen oder quantitativen Methoden evaluiert. Der Hauptfokus wird in diesem Band aber auf die Lernumgebungen und zugehörige Unterrichtsmaterialien gelegt. Die Lernumgebungen wurden alle in der Praxis erprobt und stellen in diesem Sinne „Best-Practice“-Beispiele dar, die Anregungen und Ermutigungen für praktizierende und künftige Lehrer und Hochschullehrer geben sollen.
Evangelista Torricelli: Mathematiker des Großherzogs Ferdinand II. der Toskana (Mathematik im Kontext)
by Renato AcamporaDie meisten Nichtmathematiker werden Torricelli durch das nach ihm benannte Ausflussgesetz kennen, wonach die Geschwindigkeit eines aus einem Gefäss austretenden Wasserstrahls proportional zur Quadratwurzel aus der Füllhöhe ist, ebenso wie durch seinen Nachweis des Luftdrucks mithilfe seines Vakuumexperiments. Viel bedeutender aber sind seine Leistungen auf dem Gebiet der Mathematik als virtuoser Vertreter von Cavalieris umstrittener Indivisiblenmethode, wobei er seine Ergebnisse aber stets mit Beweisen nach der allgemein anerkannten „Art der Alten“ absicherte. Auf diese Weise gelang ihm die Quadratur der Parabeln und Hyperbeln höherer Ordnung, der Zykloide, der logarithmischen Spirale (ebenso wie deren Rektifikation) und die Bestimmung der Schwerpunkte zahlreicher ebener und räumlicher Figuren.
Even Convexity and Optimization: Handling Strict Inequalities (EURO Advanced Tutorials on Operational Research)
by María D. Fajardo Miguel A. Goberna Margarita M.L. Rodríguez José Vicente-PérezThis tutorial is the first comprehensive introduction to (possibly infinite) linear systems containing strict inequalities and evenly convex sets. The book introduces their application to convex optimization. Particular attention is paid to evenly convex polyhedra and finite linear systems containing strict inequalities. The book also analyzes evenly convex and quasiconvex functions from a conjugacy and duality perspective. It discusses the applications of these functions in economics. Written in an expository style the main concepts and basic results are illustrated with suitable examples and figures..
Event Analytics across Languages and Communities
by Ivana Marenzi Simon Gottschalk Eric Müller-Budack Marko Tadić Jane WintersThis open access book presents interdisciplinary and cross-sectoral research results fostering event analytics across languages and communities. It is based on the CLEOPATRA International Training Network, which explored how we analyze and understand the major events that influence and shape our lives and societies, and how they unfold online. This analysis was achieved through various case studies, the development of novel methodologies in fields such as data mining and natural language processing, and the creation of new event-centric datasets aggregated in the Open Event Knowledge Graph (OEKG), a multilingual event-centric knowledge graph that contains more than 1 million events in 15 languages. The book is divided into three parts, focusing on different aspects of event analytics across languages and communities: Part I Event-centric Multilingual and Multimodal NLP Technologies presents five chapters reporting on recent developments in NLP technologies required to process multilingual information. Next, the four chapters of Part II: Event-centric Multilingual Knowledge Technologies discuss technologies integrating multilingual event-centric information in knowledge graphs and providing user access to such information. Finally, Part III: Event Analytics covers three selected aspects of multilingual event analytics, namely an analysis of event-centric news spreading barriers, claim detection in social media, and the narrativization of events as a means of presenting event data. This book is mainly written for researchers in academia and industry, who work on topics like natural language processing, large language models, multilingual information retrieval or event analytics.
Event Attendance Prediction in Social Networks (SpringerBriefs in Statistics)
by Xiaomei Zhang Guohong CaoThis volume focuses on predicting users’ attendance at a future event at specific time and location based on their common interests. Event attendance prediction has attracted considerable attention because of its wide range of potential applications. By predicting event attendance, events that better fit users’ interests can be recommended, and personalized location-based or topic-based services related to the events can be provided to users. Moreover, it can help event organizers estimating the event scale, identifying conflicts, and help manage resources. This book first surveys existing techniques on event attendance prediction and other related topics in event-based social networks. It then introduces a context-aware data mining approach to predict the event attendance by learning how users are likely to attend future events. Specifically, three sets of context-aware attributes are identified by analyzing users’ past activities, including semantic, temporal, and spatial attributes. This book illustrates how these attributes can be applied for event attendance prediction by incorporating them into supervised learning models, and demonstrates their effectiveness through a real-world dataset collected from event-based social networks.
Event-Based State Estimation
by Tongwen Chen Ling Shi Dawei ShiThis book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed. The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction and literature review provide information, while the main content deals with estimation problems from four distinct angles in a stochastic setting, using numerous illustrative examples and comparisons. The text elucidates both theoretical developments and their applications, and is rounded out by a review of open problems. This book is a valuable resource for researchers and students who wish to expand their knowledge and work in the area of event-triggered systems. At the same time, engineers and practitioners in industrial process control will benefit from the event-triggering technique that reduces communication costs and improves energy efficiency in wireless automation applications.
Event Classification in Liquid Scintillator Using PMT Hit Patterns: for Neutrinoless Double Beta Decay Searches (Springer Theses)
by Jack DungerThe search for neutrinoless double beta decay is one of the highest priority areas in particle physics today; it could provide insights to the nature of neutrino masses (currently not explained by the Standard Model) as well as how the universe survived its early stages. One promising experimental approach involves the use of large volumes of isotope-loaded liquid scintillator, but new techniques for background identification and suppression must be developed in order to reach the required sensitivity levels and clearly distinguish the signal. The results from this thesis constitute a significant advance in this area, laying the groundwork for several highly effective and novel approaches based on a detailed evaluation of state-of-the-art detector characteristics. This well written thesis includes a particularly clear and comprehensive description of the theoretical motivations as well as impressively demonstrating the effective use of diverse statistical techniques. The professionally constructed signal extraction framework contains clever algorithmic solutions to efficient error propagation in multi-dimensional space. In general, the techniques developed in this work will have a notable impact on the field.
Event Detection in Time Series (Synthesis Lectures on Data Management)
by Eduardo Ogasawara Rebecca Salles Fabio Porto Esther PacittiThis book is dedicated to exploring and explaining time series event detection in databases. The focus is on events, which are pervasive in time series applications where significant changes in behavior are observed at specific points or time intervals. Event detection is a basic function in surveillance and monitoring systems and has been extensively explored over the years, but this book provides a unified overview of the major types of time series events with which researchers should be familiar: anomalies, change points, and motifs. The book starts with basic concepts of time series and presents a general taxonomy for event detection. This taxonomy includes (i) granularity of events (punctual, contextual, and collective), (ii) general strategies (regression, classification, clustering, model-based), (iii) methods (theory-driven, data-driven), (iv) machine learning processing (supervised, semi-supervised, unsupervised), and (v) data management (ETL process). This taxonomy is weaved throughout chapters dedicated to the specific event types: anomaly detection, change-point, and motif discovery. The book discusses state-of-the-art metric evaluations for event detection methods and also provides a dedicated chapter on online event detection, including the challenges and general approaches (static versus dynamic), including incremental and adaptive learning. This book will be of interested to graduate or undergraduate students of different fields with a basic introduction to data science or data analytics.
Event-Driven Architecture in Golang: Building complex systems with asynchronicity and eventual consistency
by Michael StackBegin building event-driven microservices, including patterns to handle data consistency and resiliencyKey FeaturesExplore the benefits and tradeoffs of event-driven architectures with practical examples and use casesUnderstand synergy with event sourcing, CQRS, and domain-driven development in software architectureBuild an end-to-end robust application architecture by the end of the bookBook DescriptionEvent-driven architecture in Golang is an approach used to develop applications that shares state changes asynchronously, internally, and externally using messages. EDA applications are better suited at handling situations that need to scale up quickly and the chances of individual component failures are less likely to bring your system crashing down. This is why EDA is a great thing to learn and this book is designed to get you started with the help of step-by-step explanations of essential concepts, practical examples, and more. You'll begin building event-driven microservices, including patterns to handle data consistency and resiliency. Not only will you learn the patterns behind event-driven microservices but also how to communicate using asynchronous messaging with event streams. You'll then build an application made of several microservices that communicates using both choreographed and orchestrated messaging. By the end of this book, you'll be able to build and deploy your own event-driven microservices using asynchronous communication.What you will learnUnderstand different event-driven patterns and best practicesPlan and design your software architecture with easeTrack changes and updates effectively using event sourcingTest and deploy your sample software application with easeMonitor and improve the performance of your software architectureWho this book is forThis hands-on book is for intermediate-level software architects, or senior software engineers working with Golang and interested in building asynchronous microservices using event sourcing, CQRS, and DDD. Intermediate-level knowledge of the Go syntax and concurrency features is necessary.