Pinned Repositories
datafusion
Apache DataFusion SQL Query Engine
incubator-heron
Apache Heron (Incubating) is a realtime, distributed, fault-tolerant stream processing engine from Twitter
pulsar
Apache Pulsar - distributed pub-sub messaging system
spark
Apache Spark - A unified analytics engine for large-scale data processing
OTV_JSF_Spring_Hibernate
This project shows how to integrate JSF2, PrimeFaces3, Spring3 and Hibernate4 Technologies. It provides a general project template for Java developers. Used Technologies : JDK 1.6.0_31, Spring 3.1.1, JSF 2.1, Hibernate 4.1.0, Primefaces 3.1.1, MySQL Connector 5.1.17, MySQL 5.5.8, c3p0 0.9.1.2, Tomcat 7.0 and Maven 3.0.2
OTV_Spring_Hazelcast_DistributedExecution
This project shows how to develop Distributed Executor Service via Hazelcast and Spring. Used Technologies : JDK 1.7.0_09, Spring 3.1.3, Hazelcast 2.4 and Maven 3.0.4
OTV_Spring_Integration_Message_Processing
Spring Integration provides an extension of the Spring framework to support the well-known Enterprise Integration Patterns. It enables lightweight messaging within Spring-based applications and supports integration with external systems. One of the most important goals of Spring Integration is to provide a simple model for building maintainable and testable enterprise integration solutions.
OTV_SpringBatch_Chunk_Oriented_Processing
This project shows how to develop Chunk Oriented Processing in Spring Batch. Used Technologies : JDK 1.7.0_09, Spring 3.1.3, Spring Batch 2.1.9, Hibernate 4.1.8, Tomcat JDBC 7.0.27, MySQL 5.5.8, MySQL Connector 5.1.17 and Maven 3.0.4
spark-hazelcast-connector
Spark-Hazelcast Connector: - Exposes Hazelcast Distributed Objects(DistributedMap, MultiMap, ReplicatedMap, DistributedList, DistributedSet and DistributedQueue) as Spark RDDs. - Writes RDDs back to Hazelcast by implicit writeEntryToHazelcast / writeItemToHazelcast / writeMessageToHazelcast call. - Writes Hazelcast Distributed Object Events to Spark as DStream and creates HazelcastEntryStream, HazelcastItemStream and HazelcastMessageStream. - Write Spark DStreams back to Hazelcast by implicit writeEntryToHazelcast / writeItemToHazelcast / writeMessageToHazelcast call.
spring-integration-extensions
The Spring Integration Extensions project provides extension components for Spring Integration
erenavsarogullari's Repositories
erenavsarogullari/OTV_Spring_Integration_Message_Processing
Spring Integration provides an extension of the Spring framework to support the well-known Enterprise Integration Patterns. It enables lightweight messaging within Spring-based applications and supports integration with external systems. One of the most important goals of Spring Integration is to provide a simple model for building maintainable and testable enterprise integration solutions.
erenavsarogullari/OTV_Spring_Integration_AMQP_Support
Spring Integration’ s AMQP backed point-to-point message channel approach is explained by creating two messaging nodes and a RabbitMQ cluster covering two RabbitMQ Servers. Two messaging nodes start to process Order messages by using the RabbitMQ cluster. If First Messaging Node and First RabbitMQ Server are shut down accidentally, Second Messaging Node and Second RabbitMQ Server will continue to process Order messages so potential message loosing and service interruption problems can be prevented by using high available AMQP backed channel.
erenavsarogullari/spark-hazelcast-connector
Spark-Hazelcast Connector: - Exposes Hazelcast Distributed Objects(DistributedMap, MultiMap, ReplicatedMap, DistributedList, DistributedSet and DistributedQueue) as Spark RDDs. - Writes RDDs back to Hazelcast by implicit writeEntryToHazelcast / writeItemToHazelcast / writeMessageToHazelcast call. - Writes Hazelcast Distributed Object Events to Spark as DStream and creates HazelcastEntryStream, HazelcastItemStream and HazelcastMessageStream. - Write Spark DStreams back to Hazelcast by implicit writeEntryToHazelcast / writeItemToHazelcast / writeMessageToHazelcast call.
erenavsarogullari/apache-spark-fundamentals-meetup-talk
Apache Spark Fundamentals Meetup Talk Source codes, Presentation and Notebooks
erenavsarogullari/spring-integration-extensions
The Spring Integration Extensions project provides extension components for Spring Integration
erenavsarogullari/apache-spark-introduction
Initial commit
erenavsarogullari/arrow-datafusion-comet
Apache Arrow DataFusion Comet Spark Accelerator
erenavsarogullari/bahir
Mirror of Apache Bahir
erenavsarogullari/blog-posts
erenavsarogullari/data-processing-with-apache-spark-meetup-talk
Data Processing with Apache Spark Meetup Talk Presentation and Notebooks
erenavsarogullari/datafusion
Apache DataFusion SQL Query Engine
erenavsarogullari/datasets
Datasets for Simple Data Science Problems
erenavsarogullari/dockprom
Docker hosts and containers monitoring with Prometheus, Grafana, cAdvisor, NodeExporter and AlertManager
erenavsarogullari/erenavsarogullari.github.io
Build a Jekyll blog in minutes, without touching the command line.
erenavsarogullari/flink
Apache Flink
erenavsarogullari/gearpump
Lightweight real-time big data streaming engine over Akka
erenavsarogullari/heron
Heron is a realtime, distributed, fault-tolerant stream processing engine from Twitter
erenavsarogullari/incubator-geode
Mirror of Apache Geode (Incubating)
erenavsarogullari/incubator-ignite
Mirror of Apache Ignite (Incubating)
erenavsarogullari/incubator-livy
Mirror of Apache livy (Incubating)
erenavsarogullari/incubator-pulsar
Pulsar - distributed pub-sub messaging system
erenavsarogullari/incubator-training
Apache training
erenavsarogullari/incubator-zeppelin
Mirror of Apache Zeppelin (Incubating)
erenavsarogullari/livy
Livy is an open source REST interface for interacting with Apache Spark from anywhere
erenavsarogullari/minimal-mistakes
:triangular_ruler: A flexible two-column Jekyll theme perfect for building personal sites, blogs, and portfolios.
erenavsarogullari/OTV_Quartz
This project shows how to manage and schedule jobs in the application. Using Technologies : JDK 1.6.0_21, Quartz 1.8.5 and Maven 3.0.2
erenavsarogullari/spark
Apache Spark - A unified analytics engine for large-scale data processing
erenavsarogullari/spark-xml
XML data source for Spark SQL and DataFrames
erenavsarogullari/spring-integration-jcache
erenavsarogullari/tachyon
Memory Centric Reliable Distributed Storage