#java #apache #big_data #database #hadoop #hive #sql

https://github.com/apache/hive

#cplusplus #apache #apache2 #modsecurity #nginx #waf

https://github.com/SpiderLabs/ModSecurity

#java #apache #iceberg

https://github.com/apache/iceberg

#java #apache_flink #cdc #change_data_capture #database #flink_cdc #flink_connectors

https://github.com/ververica/flink-cdc-connectors

#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

#java #apache #api #library #log4j #log4j2 #logging

https://github.com/apache/logging-log4j2

#java #apache #data_integration #data_pipeline #etl_framework #high_performance #offline #real_time #seatunnel #sql_engine

https://github.com/apache/incubator-seatunnel

#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 #apache #hop #pipelines #streaming

https://github.com/apache/hop

#go #apache_arrow #apache_parquet #columnar_storage #database #golang

https://github.com/polarsignals/arcticdb

#php #apache #devilbox #docker #docker_compose #docker_lamp #lamp #lamp_stack #lemp #lemp_stack #mariadb #mean_stack #mysql #nginx #php_docker_stack #php7 #php71 #php72 #postgresql #redis

https://github.com/cytopia/devilbox

#rust #apache_arrow #computer_vision #data_analysis #data_analytics #data_centric #data_format #data_science #dataops #deep_learning #duckdb #embeddings #machine_learning #mlops #python

https://github.com/eto-ai/lance

#python #apache #scanner #tomcat

https://github.com/p0dalirius/ApacheTomcatScanner

#go #apache #deep_learning #kubernetes #machine_learning #ray

https://github.com/ray-project/kuberay

#typescript #analytics #apache #apache_superset #asf #bi #business_analytics #business_intelligence #data_analysis #data_analytics #data_engineering #data_science #data_visualization #data_viz #flask #python #react #sql_editor #superset

Superset is a powerful business intelligence tool that helps you explore and visualize data easily. It offers a no-code interface for building charts, a robust SQL Editor for advanced queries, and support for nearly any SQL database or data engine. You can create beautiful visualizations, define custom dimensions and metrics quickly, and use a lightweight caching layer to reduce database load. Superset also provides extensible security roles and authentication options, an API for customization, and a cloud-native architecture designed for scale. This makes it easier to analyze and present your data in a user-friendly way, replacing or augmenting proprietary BI tools effectively.

https://github.com/apache/superset

#python #airflow #apache #apache_airflow #automation #dag #data_engineering #data_integration #data_orchestrator #data_pipelines #data_science #elt #etl #machine_learning #mlops #orchestration #python #scheduler #workflow #workflow_engine #workflow_orchestration

Apache Airflow is a tool that helps you manage and automate workflows. You can write your workflows as code, making them easier to maintain, version, test, and collaborate on. Airflow lets you schedule tasks and monitor their progress through a user-friendly interface. It supports dynamic pipeline generation, is highly extensible, and scalable, allowing you to define your own operators and executors.

Using Airflow benefits you by making your workflows more organized, efficient, and reliable. It simplifies the process of managing complex tasks and provides clear visualizations of your workflow's performance, helping you identify and troubleshoot issues quickly. This makes it easier to manage data processing and other automated tasks effectively.

https://github.com/apache/airflow

#java #apache_doris #business_intelligence #data_analysis #data_visualization #echarts #kettle #superset #tableau

DataEase is a free, open-source tool that helps you analyze data and see business trends easily. It connects to many types of data sources like databases and files, and you can create charts quickly by dragging and dropping. It's easy to use, even if you're not tech-savvy, and it has an AI feature that answers your data questions in natural language. You can also share your data safely with others. This tool is beneficial because it's simple, powerful, and free, making it accessible to everyone who needs to analyze data.

https://github.com/dataease/dataease

#typescript #apache #canvas #charting_library #charts #data_visualization #data_viz #echarts #svg #visualization

Apache ECharts is a free and powerful tool for creating interactive and customizable charts. It is written in JavaScript and easy to use, making it great for adding charts to your products. You can download it from the official website, use npm, or a CDN. It has lots of documentation and examples to help you get started. Using ECharts benefits you by allowing you to create professional-looking charts quickly and easily, which can enhance your data visualization and make your products more engaging.

https://github.com/apache/echarts

#java #apache #batch #cdc #change_data_capture #data_ingestion #data_integration #elt #high_performance #offline #real_time #streaming

Apache SeaTunnel is a powerful tool for integrating and synchronizing large amounts of data from various sources. It supports over 100 connectors, allowing you to connect to many different data sources. SeaTunnel is efficient, stable, and resource-friendly, minimizing the use of computing resources and JDBC connections. It also provides real-time monitoring and ensures data quality to prevent loss or duplication. You can use it with different execution engines like Flink, Spark, and SeaTunnel Zeta Engine. This tool is beneficial because it simplifies complex data synchronization tasks, offers high throughput with low latency, and provides detailed insights during the process. Additionally, it has a user-friendly web project for visual job management, making it easier to manage your data integration tasks.

https://github.com/apache/seatunnel