 | Neo4j: The Definitive Guide: Hands-On Recipes for Production Ready Graph Implementations (2025)
by Misquitta, Luanne, Willemsen, Christophe |
 | Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI (2025)
by Anthapu, Ravindranatha, Agarwal, Siddhant, Webber, Dr. Jim, Risch, Dr. Julian |
 | Getting Started with Neo4j: A Beginner’s Guide to Graph Database Technology (2025)
by PANCHTILAK, NARENDRA |
 | 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 |
 | Data Structures and Algorithms in Java: A Project-Based Approach (2024)
by Myers, Dan S. |
 | Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake (2024)
by Chadha, Pulkit |
 | Graph Algorithms for Data Science: With examples in Neo4j (2024)
by Bratanic, Tomaž |
 | Graph Data Processing with Cypher: A practical guide to building graph traversal queries using the Cypher syntax on Neo4j (2022)
by Anthapu, Ravindranatha |
 | Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark (2022)
by Parsian, Mahmoud |
 | Learning Spark: Lightning-Fast Data Analytics (2020)
by Damji, Jules S., Wenig, Brooke, Das, Tathagata, Lee, Denny |
 | Hands-On Graph Analytics with Neo4j: Perform graph processing and visualization techniques using connected data across your enterprise (2020)
by Scifo, Estelle |
 | Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming (2019)
by Maas, Gerard, Garillot, Francois |
 | Graph Algorithms: Practical Examples in Apache Spark and Neo4j (2019)
by Needham, Mark, Hodler, Amy E. |
 | 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 |
 | Spark: The Definitive Guide: Big Data Processing Made Simple (2018)
by Chambers, Bill, Zaharia, Matei |
 | Learning Neo4j 3.x - Second Edition: Effective data modeling, performance tuning and data visualization techniques in Neo4j (2017)
by Baton, Jerome, Bruggen, Rik Van |
 | 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 |
 | Think Data Structures: Algorithms and Information Retrieval in Java (2017)
by Downey, Allen |
 | 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 |
 | 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 |
 | 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 |
 | Apache Spark 2 for Beginners (2016)
by Thottuvaikkatumana, Rajanarayanan |
 | 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 |
 | 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 |
 | Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark (2016)
by Nabi, Zubair |
 | Apache Spark Machine Learning Blueprints (2016)
by Liu, Alex |
 | Spark: Big Data Cluster Computing in Production (2016)
by Ganelin, Ilya, Orhian, Ema, Sasaki, Kai, York, Brennon |
 | Learning Spark: Analytics With Spark Framework (2016)
by Moore, Joseph |
 | Apache Spark Scala Interview Questions: Shyam Mallesh (2016)
by Mallesh, Shyam |
 | Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis (2015)
by Guller, Mohammed |
 | Beginning Neo4j (2015)
by Kemper, Chris |
 | Mastering Apache Spark: Gain expertise in processing and storing data by using advanced techniques with Apache Spark (2015)
by Frampton, Mike |
 | Apache Spark Graph Processing (2015)
by Ramamonjison, Rindra |
 | Neo4j Graph Data Modeling: Design efficient and flexible databases by optimizing the power of Neo4j (2015)
by Lal, Mahesh |
 | Spark Cookbook: Over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries (2015)
by Yadav, Rishi |
 | Neo4j Cookbook (2015)
by Goel, Ankur |
 | Advanced Analytics with Spark: Patterns for Learning from Data at Scale (2015)
by Ryza, Sandy, Laserson, Uri, Owen, Sean, Wills, Josh |
 | Learning Spark: Lightning-Fast Big Data Analysis (2015)
by Karau, Holden, Konwinski, Andy, Wendell, Patrick, Zaharia, Matei |
 | Neo4j High Performance (2015)
by Raj, Sonal |
