#java #big_data #camel #cloud #integration #iot #library #network_client #network_server #osgi #xml

https://github.com/apache/camel

#java #big_data #data_science #database #databases #datalake #distributed_database #distributed_databases #distributed_systems #hadoop #hive #jdbc #presto #prestodb #query_engine #sql #trino

https://github.com/trinodb/trino

#jupyter_notebook #big_data #bigdata #cortx_community #distributed_storage #distributed_systems #hackathons #hacktoberfest #hacktoberfest2020 #inclusivity #object_storage #object_storage_service #objectstorage #objectstore #open_source #opensource #s3 #s3_storage #software_defined_storage #storage #storage_api

https://github.com/Seagate/cortx

#other #big_data #spark #pyspark

https://github.com/ankurchavda/SparkLearning

#scala #ai #apache_spark #azure #big_data #cognitive_services #data_science #databricks #deep_learning #http #lightgbm #machine_learning #microsoft #ml #model_deployment #onnx #opencv #pyspark #spark #synapse

https://github.com/microsoft/SynapseML

#go #big_code #big_data #data_warehouse #devops

https://github.com/merico-dev/lake

#cplusplus #analytics #big_data #database #distributed #olap #realtime_database #sql #vectorized

https://github.com/StarRocks/starrocks

#typescript #apache_kafka #big_data #cluster_management #event_streaming #hacktoberfest #kafka #kafka_brokers #kafka_client #kafka_cluster #kafka_connect #kafka_manager #kafka_producer #kafka_streams #kafka_ui #opensource #streaming_data #streams #web_ui

https://github.com/provectus/kafka-ui

#java #big_data #data_integration #data_lake #data_pipeline #data_synchronization #flink #high_performance #real_time

https://github.com/bytedance/bitsail

#java #big_data #database #iot #nosql #timeseries #tsdb

https://github.com/apache/iotdb

#cplusplus #big_data #clickhouse #distributed_database #lakehouse #olap_database #spark #sql #ytsaurus

https://github.com/ytsaurus/ytsaurus

#rust #big_data #cloud_native #cloud_storage #distributed_tracing #log_management #logs #open_source #search_engine #tantivy

https://github.com/quickwit-oss/quickwit

#rust #analytics #big_data #data_science #graph #graph_analytics #graph_computation #graph_computing #graph_data #graph_neural_networks #gremlin

https://github.com/alibaba/GraphScope

#python #big_data #data_engineering #data_quality #data_science #feature_store #features #machine_learning #ml #mlops

https://github.com/feast-dev/feast

#scala #big_data #gpu #rapids #spark

https://github.com/NVIDIA/spark-rapids

#java #big_data #caching #data_in_motion #data_insights #distributed #distributed_computing #distributed_systems #hacktoberfest #hazelcast #in_memory #low_latency #real_time #scalability #stream_processing

https://github.com/hazelcast/hazelcast

#java #android #big_data #deserialization #fastjson #fastjson2 #graal #graalvm_native_image #high_performance #java #java_json #json #json_deserialization #json_parser #json_path #json_serialization #json_serializer #jsonb #serialization

FASTJSON 2 is a highly performant and easy-to-use Java JSON library. It offers significant performance improvements over other popular JSON libraries like Jackson and Gson. Here are the key benefits FASTJSON 2 outperforms other JSON libraries, making it ideal for applications requiring fast data processing.
- **Advanced Features** It includes support for JSONPath, SQL You can easily integrate it into your project using Maven or Gradle dependencies.

Using FASTJSON 2 simplifies your JSON handling tasks while providing superior performance and robust features.

https://github.com/alibaba/fastjson2

#cplusplus #ai #analytics #big_data #clickhouse #cpp #dbms #distributed_database #hacktoberfest #mpp #olap #rust #sql

ClickHouse is a free, open-source database that helps you get real-time analytical data reports. It's easy to install using a simple command on Linux, macOS, or FreeBSD. You can find lots of helpful resources like tutorials, documentation, and videos on their website. There are also community meetups and online chats where you can learn from other users. Using ClickHouse benefits you by allowing fast and efficient analysis of large amounts of data, which is useful for making quick decisions and improving your business operations.

https://github.com/ClickHouse/ClickHouse

#c_lang #ai #big_data #c #cloudberry #data_analysis #data_warehouse #database #distributed_database #greenplum #mpp #olap #postgres #postgresql #sql

Apache Cloudberry is a powerful, open-source database designed for large-scale data processing and analytics. It is built by the creators of Greenplum Database and uses a newer PostgreSQL kernel, making it suitable for data warehouses and AI/ML workloads. You can easily try it out using a Docker-based sandbox or build it from source on Linux or macOS. The community is active, with many channels for support, discussions, and contributions. This means you can get help quickly, share ideas, and even contribute to the project yourself. It's licensed under the Apache License, Version 2.0, making it free to use and modify. Overall, Apache Cloudberry offers advanced database capabilities and a supportive community, which can greatly benefit users needing robust data management solutions.

https://github.com/apache/cloudberry