#java #apache_flink #cdc #change_data_capture #database #flink_cdc #flink_connectors
https://github.com/ververica/flink-cdc-connectors
https://github.com/ververica/flink-cdc-connectors
GitHub
GitHub - apache/flink-cdc: Flink CDC is a streaming data integration tool
Flink CDC is a streaming data integration tool. Contribute to apache/flink-cdc development by creating an account on GitHub.
#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
https://github.com/microsoft/SynapseML
GitHub
GitHub - microsoft/SynapseML: Simple and Distributed Machine Learning
Simple and Distributed Machine Learning. Contribute to microsoft/SynapseML development by creating an account on GitHub.
#java #apache #data_integration #data_pipeline #etl_framework #high_performance #offline #real_time #seatunnel #sql_engine
https://github.com/apache/incubator-seatunnel
https://github.com/apache/incubator-seatunnel
GitHub
GitHub - apache/seatunnel: SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool. - apache/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
https://github.com/provectus/kafka-ui
GitHub
GitHub - provectus/kafka-ui: Open-Source Web UI for Apache Kafka Management
Open-Source Web UI for Apache Kafka Management. Contribute to provectus/kafka-ui development by creating an account on GitHub.
#go #apache_arrow #apache_parquet #columnar_storage #database #golang
https://github.com/polarsignals/arcticdb
https://github.com/polarsignals/arcticdb
GitHub
GitHub - polarsignals/frostdb: ❄️ Coolest database around 🧊 Embeddable column database written in Go.
❄️ Coolest database around 🧊 Embeddable column database written in Go. - GitHub - polarsignals/frostdb: ❄️ Coolest database around 🧊 Embeddable column database written in Go.
#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
https://github.com/cytopia/devilbox
GitHub
GitHub - cytopia/devilbox: A modern Docker LAMP stack and MEAN stack for local development
A modern Docker LAMP stack and MEAN stack for local development - 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
https://github.com/eto-ai/lance
GitHub
GitHub - lancedb/lance: Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code…
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, Du...
#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
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
GitHub
GitHub - apache/superset: Apache Superset is a Data Visualization and Data Exploration Platform
Apache Superset is a Data Visualization and Data Exploration Platform - apache/superset
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#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
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
GitHub
GitHub - apache/airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows - apache/airflow
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#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
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
GitHub
GitHub - dataease/dataease: 🔥 人人可用的开源 BI 工具,数据可视化神器。An open-source BI tool alternative to Tableau.
🔥 人人可用的开源 BI 工具,数据可视化神器。An open-source BI tool alternative to Tableau. - dataease/dataease