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by Newman, Sam |
 | Modern Concurrency in Java: A Deep Dive into Virtual Threads, Structured Concurrency, and Scoped Values (2025)
by Rahman, A N M Bazlur |
 | Think Distributed Systems (2025)
by Tornow, Dominik |
 | Time Series Analysis with Spark: A practical guide to processing, modeling, and forecasting time series with Apache Spark (2025)
by Ramaswami, Yoni, Williamson, Dael, Govaere, Jan |
 | Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes (2025)
by Burns, Brendan |
 | Java Concurrency Patterns: Mastering Multithreading and Asynchronous Techniques (2024)
by Jones, Peter |
 | Mastering Java Concurrency: Threads, Synchronization, and Parallel Processing (2024)
by Jones, Peter |
 | Virtual Threads, Structured Concurrency, and Scoped Values: Explore Java’s New Threading Model (Apress Pocket Guides) (2024)
by Veen, Ron, Vlijmincx, David |
 | Java Concurrency and Parallelism: Master advanced Java techniques for cloud-based applications through concurrency and parallelism (2024)
by Wang, Jay |
 | Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake (2024)
by Chadha, Pulkit |
 | Patterns of Distributed Systems (Addison-Wesley Signature Series (Fowler)) (2023)
by Joshi, Unmesh |
 | Patterns of Distributed Systems (Addison-Wesley Signature Series (Fowler)) (2023)
by Joshi, Unmesh |
 | Akka in Action, Second Edition (2023)
by Abraham, Francisco Lopez-Sancho |
| Akka in Action, Second Edition (2023)
by Abraham, Francisco Lopez-Sancho |
 | Distributed Systems (2023)
by van Steen, Maarten, Tanenbaum, Andrew S. |
 | Foundations of Scalable Systems: Designing Distributed Architectures (2022)
by Gorton, Ian |
 | Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark (2022)
by Parsian, Mahmoud |
 | Understanding Distributed Systems, Second Edition: What every developer should know about large distributed applications (2022)
by Vitillo, Roberto |
 | Learning Spark: Lightning-Fast Data Analytics (2020)
by Damji, Jules S., Wenig, Brooke, Das, Tathagata, Lee, Denny |
 | Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming (2019)
by Maas, Gerard, Garillot, Francois |
 | Reactive Streams in Java: Concurrency with RxJava, Reactor, and Akka Streams (2018)
by Davis, Adam L. |
 | Scala Programming Projects: Build real world projects using popular Scala frameworks like Play, Akka, and Spark (2018)
by Valot, Mikael, Jorand, Nicolas |
 | Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services (2018)
by Burns, Brendan |
 | Spark: The Definitive Guide: Big Data Processing Made Simple (2018)
by Chambers, Bill, Zaharia, Matei |
 | Apache Spark 2.x Machine Learning Cookbook: Over 100 recipes to simplify machine learning model implementations with Spark (2017)
by Amirghodsi, Siamak, Rajendran, Meenakshi, Hall, Broderick, Mei, Shuen |
 | Advanced Analytics with Spark: Patterns for Learning from Data at Scale (2017)
by Ryza, Sandy, Laserson, Uri, Owen, Sean, Wills, Josh |
 | Mastering Apache Spark 2.x - Second Edition: Scale your machine learning and deep learning systems with SparkML, DeepLearning4j and H2O (2017)
by Kienzler, Romeo |
 | Apache Spark 2.x for Java Developers: Explore big data at scale using Apache Spark 2.x Java APIs (2017)
by Gulati, Sourav, Kumar, Sumit |
 | High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark (2017)
by Karau, Holden, Warren, Rachel |
 | Concurrent Application Development using Akka with Scala (2017)
by Maltiar, Meetu, Hazrati, Vikas |
 | Akka Cookbook: Recipes for concurrent, fast, and reactive applications (2017)
by Ortiz, Hector Veiga, Mishra, Piyush |
 | Akka Cookbook: Recipes for concurrent, fast, and reactive applications (2017)
by Ortiz, Hector Veiga, Mishra, Piyush |
 | Learning Apache Spark 2 (2017)
by Abbasi, Muhammad Asif |
 | Top 50 Apache Spark Interview Questions & Answers (2017)
by Powerhouse, Knowledge |
 | 99 Apache Spark Interview Questions for Professionals: A GUIDE TO PREPARE FOR APACHE SPARK INTERVIEW QUESTIONS (2017)
by Kumar, Yogesh, Kumar, Hitesh |
 | Distributed Systems (2017)
by van Steen, Maarten, Tanenbaum, Andrew S. |
 | Applied Akka Patterns: A Hands-On Guide to Designing Distributed Applications (2017)
by Nash, Michael, Waldron, Wade |
 | Apache Spark for Data Science Cookbook (2016)
by Chitturi, Padma Priya |
 | Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-wesley Data & Analytics) (2016)
by Mendelevitch, Ofer, Stella, Casey, Eadline, Douglas |
 | Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS (Addison-Wesley Data & Analytics Series) (2016)
by Alapati, Sam |
 | Spark in Action (2016)
by Zecevic, Petar, Bonaci, Marko |
 | Mastering Akka (2016)
by Baxter, Christian |
 | Apache Spark 2 for Beginners (2016)
by Thottuvaikkatumana, Rajanarayanan |
 | Akka in Action (2016)
by Roestenburg, Raymond, Bakker, Rob, Williams, Rob |
 | Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka (2016)
by Estrada, Raul, Ruiz, Isaac |
 | Apache Spark in 24 Hours, Sams Teach Yourself (2016)
by Aven, Jeffrey |
 | Reactive Web Applications: Covers Play, Akka, and Reactive Streams (2016)
by Bernhardt, Manuel |
 | Apache Spark Interview Question & Answers (2016)
by Goel, Naman |
 | Spark GraphX in Action (2016)
by Malak, Michael, East, Robin |
 | Spark Tutorials with Scala: The Beginner's Guide (2016)
by McGrath, Todd |
