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Author: Kasun Indrasiri Publisher: "O'Reilly Media, Inc." ISBN: 1492090689 Category : Computers Languages : en Pages : 314
Book Description
With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems
Author: Kasun Indrasiri Publisher: "O'Reilly Media, Inc." ISBN: 1492090689 Category : Computers Languages : en Pages : 314
Book Description
With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems
Author: Ashley Wells Publisher: Scientific e-Resources ISBN: 1839473347 Category : Languages : en Pages : 327
Book Description
Fundamental Statistics gives an open and thorough prologue to statistics utilizing the free, best in class, capable programming program R. This book is intended to both acquaint understudies with enter ideas in statistics and to give basic guidelines to utilizing R. PC programming is a fundamental device for some factual displaying and information investigation systems, helping in the usage of huge informational indexes so as to acquire valuable outcomes. R is a standout amongst the most capable and adaptable measurable programming bundles accessible, and empowers the client to apply a wide assortment of factual methods running from straightforward regression to summed up direct demonstrating. Statistics: An Introduction utilizing R is an unmistakable and compact initial course reading to measurable investigation utilizing this effective and free programming. Spreads the full scope of factual strategies prone to be have to dissect the information from investigate ventures, including basic material like t-tests and chi-squared tests, middle of the road methods like regression and examination of fluctuation, and further developed systems like summed up direct displaying.
Author: Alex Petrov Publisher: O'Reilly Media ISBN: 1492040312 Category : Computers Languages : en Pages : 373
Book Description
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency
Author: Paolo Atzeni Publisher: ISBN: Category : Computers Languages : en Pages : 646
Book Description
Covers the important requirements of teaching databases with a modular and progressive perspective. This book can be used for a full course (or pair of courses), but its first half can be profitably used for a shorter course.
Author: James Densmore Publisher: O'Reilly Media ISBN: 1492087807 Category : Computers Languages : en Pages : 277
Book Description
Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting
Author: Brendan Burns Publisher: "O'Reilly Media, Inc." ISBN: 1491983612 Category : Computers Languages : en Pages : 164
Book Description
Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient. Author Brendan Burns—Director of Engineering at Microsoft Azure—demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systems Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows
Author: Kelley Klaver Pecheux Publisher: ISBN: 9780309673495 Category : Database management Languages : en Pages : 107
Book Description
With increased connectivity between vehicles, sensors, systems, shared-use transportation, and mobile devices, unexpected and unparalleled amounts of data are being added to the transportation domain at a rapid rate, and these data are too large, too varied in nature, and will change too quickly to be handled by the traditional database management systems of most transportation agencies. The TRB National Cooperative Highway Research Program's NCHRP Research Report 952: Guidebook for Managing Data from Emerging Technologies for Transportation provides guidance, tools, and a big data management framework, and it lays out a roadmap for transportation agencies on how they can begin to shift - technically, institutionally, and culturally - toward effectively managing data from emerging technologies. Modern, flexible, and scalable "big data" methods to manage these data need to be adopted by transportation agencies if the data are to be used to facilitate better decision-making. As many agencies are already forced to do more with less while meeting higher public expectations, continuing with traditional data management systems and practices will prove costly for agencies unable to shift.
Author: Kasun Indrasiri
Author: Kasun Indrasiri
Author: Ashley Wells
Author: 
Author: 
Author: Alex Petrov
Author: Paolo Atzeni
Author: James Densmore
Author: Nihon no Sankō Tosho Henshū Iinkai
Author: Brendan Burns
Author: Kelley Klaver Pecheux