Home » com.revelytix

Group: Revelytix
Sort by:Popular▼

1. 📁Revelytix Logbacks2 usages

com.revelytix.logbacks(2)

Revelytix Logbacks
logback-stub·slf4j-log4j12

2.Spark API SPARQL Client Connection API4 usages

com.revelytix » spark-api Apache

Defines a Java client-side connection-oriented API for accessing sparql endpoints ala JDBC.
Last Release on Jul 16, 2012

3.Spark SPI SPARQL Client Connection SPI3 usages

com.revelytix » spark-spi Apache

Defines optional utilities and base classes to make building implementations of the API easier.
Last Release on Jul 16, 2012

4.SHERPA Protocol SHERPA SPARQL Protocol Definition2 usages

com.revelytix » sherpa-protocol Apache

Defines an Avro-based protocol for cursored SPARQL query access.
Last Release on Jul 16, 2012

5.SHERPA Java SHERPA SPARQL Protocol Client1 usages

com.revelytix » sherpa-java Apache

Defines a SPARQL client API implementation using the SHERPA fast protocol for client-server communication. Requires a SHERPA-enabled server.
Last Release on Jul 16, 2012

6.SHERPA Clojure SHERPA Client and Server Utilities In Clojure

com.revelytix » sherpa-clojure Apache

Defines a SPARQL client and server processing framework using the SHERPA protocol.
Last Release on Jul 16, 2012

7.Spark Repository Multi Module

com.revelytix » spark Apache

Multi-module for all of the modules that makes up spark and sherpa.
Last Release on Jul 16, 2012

8.Spark HTTP Client SPARQL Client Implementation of The SPARQL Protocol

com.revelytix » spark-http-client Apache

Defines an implementation of the spark-api that uses the SPARQL protocol to query remote SPARQL endpoints via HTTP.
Last Release on Jul 16, 2012

9.Spark Protocol SPARQL Client Implementation of The SPARQL Protocol

com.revelytix » spark-protocol Apache

Defines an implementation of the spark-api that uses the SPARQL protocol to query remote SPARQL endpoints via HTTP.
Last Release on Jun 21, 2011

10.SPARQL API Repository Multi Module

com.revelytix » sparql-api Apache

Multi-module for all of the sparql-api modules that makes up spark and sherpa.
Last Release on Jun 21, 2011

Related Books

Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySparkData Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark (2022)
by Parsian, Mahmoud
Learning Spark: Lightning-Fast Data AnalyticsLearning Spark: Lightning-Fast Data Analytics (2020)
by Damji, Jules S., Wenig, Brooke, Das, Tathagata, Lee, Denny
Time Series Analysis with Spark: A practical guide to processing, modeling, and forecasting time series with Apache SparkTime Series Analysis with Spark: A practical guide to processing, modeling, and forecasting time series with Apache Spark (2025)
by Yoni Ramaswami
Stream Processing with Apache Spark: Mastering Structured Streaming and Spark StreamingStream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming (2019)
by Maas, Gerard, Garillot, Francois
Spark: The Definitive Guide: Big Data Processing Made SimpleSpark: The Definitive Guide: Big Data Processing Made Simple (2018)
by Chambers, Bill, Zaharia, Matei
Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta LakeData Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake (2024)
by Pulkit Chadha
High Performance Spark: Best Practices for Scaling and Optimizing Apache SparkHigh Performance Spark: Best Practices for Scaling and Optimizing Apache Spark (2017)
by Karau, Holden, Warren, Rachel
Spark in ActionSpark in Action (2016)
by Petar Zecevic, Marko Bonaci
Spark GraphX in ActionSpark GraphX in Action (2016)
by Malak, Michael, East, Robin
Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache SparkPro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark (2016)
by Nabi, Zubair
Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and KafkaBig Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka (2016)
by Estrada, Raul, Ruiz, Isaac
Mastering Apache Spark 2.x - Second Edition: Scale your machine learning and deep learning systems with SparkML, DeepLearning4j and H2OMastering Apache Spark 2.x - Second Edition: Scale your machine learning and deep learning systems with SparkML, DeepLearning4j and H2O (2017)
by Kienzler, Romeo
Advanced Analytics with Spark: Patterns for Learning from Data at ScaleAdvanced Analytics with Spark: Patterns for Learning from Data at Scale (2017)
by Ryza, Sandy, Laserson, Uri, Owen, Sean
99 Apache Spark Interview Questions for Professionals: A GUIDE TO PREPARE FOR APACHE SPARK INTERVIEW QUESTIONS99 Apache Spark Interview Questions for Professionals: A GUIDE TO PREPARE FOR APACHE SPARK INTERVIEW QUESTIONS (2017)
by Kumar, Yogesh, Kumar, Hitesh
Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-wesley Data & Analytics)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)Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS (Addison-Wesley Data & Analytics Series) (2016)
by Alapati, Sam
Learning Spark: Lightning-Fast Big Data AnalysisLearning Spark: Lightning-Fast Big Data Analysis (2015)
by Karau, Holden, Konwinski, Andy, Wendell, Patrick, Zaharia, Matei
Spark: Big Data Cluster Computing in ProductionSpark: Big Data Cluster Computing in Production (2016)
by Ganelin, Ilya, Orhian, Ema, Sasaki, Kai, York, Brennon
Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data AnalysisBig Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis (2015)
by Guller, Mohammed
Apache Spark in 24 Hours, Sams Teach YourselfApache Spark in 24 Hours, Sams Teach Yourself (2016)
by Aven, Jeffrey
Apache Spark for Data Science CookbookApache Spark for Data Science Cookbook (2016)
by Chitturi, Padma Priya
Apache Spark Interview Question & AnswersApache Spark Interview Question & Answers (2016)
by Goel, Naman
Spark Tutorials with Scala: The Beginner's GuideSpark Tutorials with Scala: The Beginner's Guide (2016)
by McGrath, Todd
Apache Spark Scala Interview Questions: Shyam MalleshApache Spark Scala Interview Questions: Shyam Mallesh (2016)
by Mallesh, Shyam
Apache Spark 2.x Machine Learning Cookbook: Over 100 recipes to simplify machine learning model implementations with SparkApache Spark 2.x Machine Learning Cookbook: Over 100 recipes to simplify machine learning model implementations with Spark (2017)
by Amirghodsi, Siamak, Rajendran, Meenakshi, Hall, Shuen
Apache Spark 2.x for Java Developers: Explore big data at scale using Apache Spark 2.x Java APIsApache Spark 2.x for Java Developers: Explore big data at scale using Apache Spark 2.x Java APIs (2017)
by Gulati, Sourav, Kumar, Sumit
Learning Apache Spark 2Learning Apache Spark 2 (2017)
by Abbasi, Asif
Advanced Analytics with Spark: Patterns for Learning from Data at ScaleAdvanced Analytics with Spark: Patterns for Learning from Data at Scale (2015)
by Ryza, Sandy, Laserson, Uri, Owen, Sean, Wills, Josh
Apache Spark 2 for BeginnersApache Spark 2 for Beginners (2016)
by Thottuvaikkatumana, Rajanarayanan
Apache Spark Machine Learning BlueprintsApache Spark Machine Learning Blueprints (2016)
by Liu, Alex
Mastering Apache Spark: Gain expertise in processing and storing data by using advanced techniques with Apache SparkMastering Apache Spark: Gain expertise in processing and storing data by using advanced techniques with Apache Spark (2015)
by Frampton, Mike
Apache Spark Graph ProcessingApache Spark Graph Processing (2015)
by Ramamonjison, Rindra
Spark Cookbook: Over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX librariesSpark Cookbook: Over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries (2015)
by Yadav, Rishi
Machine Learning with SparkMachine Learning with Spark (2015)
by Pentreath, Nick
Top 50 Apache Spark Interview Questions & AnswersTop 50 Apache Spark Interview Questions & Answers (2017)
by Powerhouse, Knowledge
Learning Spark: Analytics With Spark FrameworkLearning Spark: Analytics With Spark Framework (2016)
by Moore, Joseph