O’Reilly Media, Inc. August 2020 - ISBN: 9781492072423 Get the authoritative guide to Dapr, the distributed application runtime that works with new and existing programming languages alike. Written by the model’s creators, this introduction shows you how Dapr not only unifies stateless, stateful, and actor programming models but also runs everywhere — in the cloud or on the...
Manning Publications, 2023. — 310 p. This easy-to-read, hands-on guide demystifies concurrency concepts like threading, asynchronous programming, and parallel processing in any language. In Grokking Concurrency you will. Get up to speed with the core concepts of concurrency, asynchrony, and parallel programming. Learn the strengths and weaknesses of different hardware...
O’Reilly Media, 2018. — 166 p. — ISBN: 9781491983645. 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...
2nd Edition. — O’Reilly Media, 2025. — 217 p. — ISBN-13: 978-1-098-15635-0. Every distributed system strives for reliability, performance, and quality, but building such a system is hard. Establishing a set of design patterns enables software developers and system architects to use a common language to describe their systems and learn from the patterns and practices developed...
Syncfusion, 2018. — 150 p. With its novel XOR-based metric topology, Kademlia is the first peer-to-peer system to combine provable consistency and performance, latency-minimizing routing, and a symmetric, unidirectional topology. In The Kademlia Protocol Succinctly, author Marc Clifton leads readers through the positive aspects of Kademlia’s decentralized specifications. He...
O’Reilly Media, Inc., 2011. — 259 p. Language: English This guide is an ideal learning tool and reference for Apache Pig, the open-source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application — making it easy for you to experiment with new datasets. Programming Pig introduces new users to...
1st edition. — O’Reilly Media, 2023. — 264 p. — ISBN1098139720. With the surge in big data and AI, organizations can rapidly create data products. However, the effectiveness of their analytics and machine learning models depends on the data's quality. Delta Lake's open-source format offers a robust lakehouse framework over platforms like Amazon S3, ADLS, and GCS. This practical...
Pearson Education/Addison-Wesley, 2023. — 492 p. Learn How to Better Understand Distributed System Design and Solve Common Problems. Enterprises today rely on a range of distributed software handling data storage, messaging, system management, and compute capability. Distributed system designs need to be implemented in some programming languages, and there are common problems...
O’Reilly Media, 2019. — 633 p. — ISBN13: 978-1-491-96927-4. There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern...
O’Reilly Media, Inc., 2025. — 445 p. — ISBN: 978-1-098-15195-9. Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts overcome key data reliability challenges with modern data engineering and management techniques. Authors Denny Lee,...
O’Reilly, 2015. — 858 p. — ISBN: 978-1-491-90618-7. If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem,...
Packt Publishing, 2015. — 164 p. — ISBN: 978-1-78588-808-3. Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies A Data Lake is a highly scalable platform for storing huge volumes of multistructured data from disparate sources with centralized data management services. This book...
O’Reilly Media, 2024. — 283 p. — ISBN-13: 978-1-098-15301-4. This concise yet comprehensive guide explains how to adopt a data lakehouse architecture to implement modern data platforms. It reviews the design considerations, challenges, and best practices for implementing a lakehouse and provides key insights into the ways that using a lakehouse can impact your data platform,...
Independently published, 2021. — 236 p. According to Stack Overflow's 2020 developer survey, the best-paid engineering roles require distributed systems expertise. That comes as no surprise as modern applications are distributed systems. Learning to build distributed systems is hard, especially if they are large scale. It's not that there is a lack of information out there. You...
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