 | Neo4j: The Definitive Guide: Hands-On Recipes for Production-Ready Graph Implementations (2025)
by Misquitta, Luanne, Willemsen, Christophe |
 | Graph Algorithms for Data Science: With examples in Neo4j (2024)
by Bratanic, Tomaž |
 | Graph Algorithms: Practical Examples in Apache Spark and Neo4j (2019)
by Needham, Mark, Hodler, Amy E. |
 | Latency: Reduce delay in software systems (2025)
by Enberg, Pekka |
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 | Optimizing Cloud Native Java: Practical Techniques for Improving JVM Application Performance (2024)
by Evans, Benjamin J., Gough, James |
 | Pragmatic Unit Testing in Java with JUnit (2024)
by Langr, Jeff |
 | Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI (2025)
by Ravindranatha Anthapu, Siddhant Agarwal |
 | Learning Test-Driven Development: A Polyglot Guide to Writing Uncluttered Code (2021)
by Siddiqui, Saleem |
 | Java Performance: In-Depth Advice for Tuning and Programming Java 8, 11, and Beyond (2020)
by Oaks, Scott |
 | Graph Data Processing with Cypher: A practical guide to building graph traversal queries using the Cypher syntax on Neo4j (2022)
by Ravindranatha Anthapu |
 | Performance Engineering Best Practices: Building high performance cloud IT platforms using Java (English Edition) (2025)
by V. Jones, Nolan |
 | Data Structures and Algorithms in Java: A Project-Based Approach (2024)
by Myers, Dan S. |
 | JVM Performance Engineering: Inside OpenJDK and the HotSpot Java Virtual Machine (Developer's Library) (2024)
by Beckwith, Monica |
 | Test-Driven Development with Java: Create higher-quality software by writing tests first with SOLID and hexagonal architecture (2023)
by Mellor, Alan |
 | Hands-On Graph Analytics with Neo4j: Perform graph processing and visualization techniques using connected data across your enterprise (2020)
by Scifo, Estelle |
 | Optimizing Java: Practical Techniques for Improving JVM Application Performance (2018)
by Evans, Benjamin J., Gough, James, Newland, Chris |
 | Learning Neo4j 3.x - Second Edition: Effective data modeling, performance tuning and data visualization techniques in Neo4j (2017)
by Baton, Jerome, Bruggen, Rik Van |
 | Beginning Neo4j (2015)
by Kemper, Chris |
 | Think Data Structures: Algorithms and Information Retrieval in Java (2017)
by Downey, Allen B. |
 | Troubleshooting Java Performance: Detecting Anti-Patterns with Open Source Tools (2017)
by Ostermueller, Erik |
 | Neo4j in Action (2014)
by Vukotic, Aleksa, Watt, Nicki, Abedrabbo, Tareq, Fox, Dominic, Partner, Jonas |
 | Practical Neo4j (2014)
by Jordan, Gregory |
 | Java Performance Companion (2016)
by Hunt, Charlie, Parhar, Poonam, Rutisson, Bengt, Beckwith, Monica |
 | Test-Driven Java Development - Second Edition: Invoke TDD principles for end-to-end application development (2018)
by Alex Garcia;Viktor Farcic |
 | Beginning Java Data Structures and Algorithms: Sharpen your problem solving skills by learning core computer science concepts in a pain-free manner (2018)
by Cutajar, James |
 | Neo4j Graph Data Modeling: Design efficient and flexible databases by optimizing the power of Neo4j (2015)
by Lal, Mahesh |
 | Neo4j Essentials (2015)
by Gupta, Sumit |
 | Neo4j Cookbook (2015)
by Goel, Ankur |
 | Neo4j High Performance (2015)
by Raj, Sonal |
 | High-Performance Java Persistence (2016)
by Mihalcea, Vlad |
 | Java Performance: The Definitive Guide: Getting the Most Out of Your Code (2014)
by Oaks, Scott |
 | Java For Testers: Learn Java fundamentals fast (2015)
by Richardson, Mr Alan J |
 | Learning Neo4j (2014)
by Van Bruggen, Rik |
 | Data Structures and Algorithms in Java (2014)
by Goodrich, Michael T., Tamassia, Roberto, Goldwasser, Michael H. |
 | Test Driven: TDD and Acceptance TDD for Java Developers (2007)
by Koskela, Lasse |
 | Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles (2013)
by Karumanchi, Narasimha |
 | Algorithms (4th Edition) (2011)
by Sedgewick, Robert, Wayne, Kevin |
 | Data Structures and Algorithms in Java (2002)
by Lafore, Robert |
