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DaFlowApache-Spark based Data Flow(ETL) Framework which supports multiple read, write destinations of different types and also support multiple categories of transformation rules.
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MetorikkuA simplified, lightweight ETL Framework based on Apache Spark
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mmtf-sparkMethods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.
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hamiltonA scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.
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sparkucxA high-performance, scalable and efficient ShuffleManager plugin for Apache Spark, utilizing UCX communication layer
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cubetlCubETL - Framework and tool for data ETL (Extract, Transform and Load) in Python (PERSONAL PROJECT / SELDOM MAINTAINED)
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qweryA SQL-like language for performing ETL transformations.
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Bigdata PlaygroundA complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL
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SparkrdmaRDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark
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DIRECTDIRECT, the Data Integration Run-time Execution Control Tool, is a data logistics framework that can be used to monitor, log, audit and control data integration / ETL processes.
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Data AcceleratorData Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.
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spark-recordsBulletproof Apache Spark jobs with fast root cause analysis of failures.
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csvpluscsvplus extends the standard Go encoding/csv package with fluent interface, lazy stream operations, indices and joins.
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awesome-toolscurated list of awesome tools and libraries for specific domains
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autThe Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.
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mmtf-workshop-2018Structural Bioinformatics Training Workshop & Hackathon 2018
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MistServerless proxy for Spark cluster
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ChoetlETL Framework for .NET / c# (Parser / Writer for CSV, Flat, Xml, JSON, Key-Value, Parquet, Yaml, Avro formatted files)
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EtlalchemyExtract, Transform, Load: Any SQL Database in 4 lines of Code.
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Griffon VmGriffon Data Science Virtual Machine
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Openkettlewebui一款基于kettle的数据处理web调度控制平台,支持文档资源库和数据库资源库,通过web平台控制kettle数据转换,可作为中间件集成到现有系统中
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Spark With PythonFundamentals of Spark with Python (using PySpark), code examples
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ElandPython Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
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ParquetviewerSimple windows desktop application for viewing & querying Apache Parquet files
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vixtractwww.vixtract.ru
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link-moveA model-driven dynamically-configurable framework to acquire data from external sources and save it to your database.
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EtlboxA lightweight ETL (extract, transform, load) library and data integration toolbox for .NET.
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StetlStetl, Streaming ETL, is a lightweight geospatial processing and ETL framework written in Python.
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Hale(Spatial) data harmonisation with hale studio (formerly HUMBOLDT Alignment Editor)
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gan deeplearning4jAutomatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
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OpenKettleWebUI一款基于kettle的数据处理web调度控制平台,支持文档资源库和数据库资源库,通过web平台控制kettle数据转换,可作为中间件集成到现有系统中
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BETL-oldBETL. Meta data driven ETL generation using T-SQL
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DataBridge.NETConfigurable data bridge for permanent ETL jobs
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BenderBender - Serverless ETL Framework
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leaflet heatmap简单的可视化湖州通话数据 假设数据量很大,没法用浏览器直接绘制热力图,把绘制热力图这一步骤放到线下计算分析。使用Apache Spark并行计算数据之后,再使用Apache Spark绘制热力图,然后用leafletjs加载OpenStreetMap图层和热力图图层,以达到良好的交互效果。现在使用Apache Spark实现绘制,可能是Apache Spark不擅长这方面的计算或者是我没有设计好算法,并行计算的速度比不上单机计算。Apache Spark绘制热力图和计算代码在这 https://github.com/yuanzhaokang/ParallelizeHeatmap.git .
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pyspark-cheatsheetPySpark Cheat Sheet - example code to help you learn PySpark and develop apps faster
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bandar-logMonitoring tool to measure flow throughput of data sources and processing components that are part of Data Ingestion and ETL pipelines.
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MorpheusMorpheus brings the leading graph query language, Cypher, onto the leading distributed processing platform, Spark.
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SmooksAn extensible Java framework for building XML and non-XML streaming applications
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ButterfreeA tool for building feature stores.
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Pyetlpython ETL framework
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Bandar LogMonitoring tool to measure flow throughput of data sources and processing components that are part of Data Ingestion and ETL pipelines.
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SetlA simple Spark-powered ETL framework that just works 🍺
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Goodreads etl pipelineAn end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
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MmlsparkSimple and Distributed Machine Learning
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Metlmito ETL tool
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Eel SdkBig Data Toolkit for the JVM
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TransformalizeConfigurable Extract, Transform, and Load
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