Topic: parquet Goto Github
Some thing interesting about parquet
Some thing interesting about parquet
parquet,The only Vector tooling you'll need. Use the universal VDF format for vector datasets to easily export and import data from all vector databases
Organization: ai-northstar-tech
Home Page: https://vector-io.com
parquet,Apache Parquet Format
Organization: apache
Home Page: https://parquet.apache.org/
parquet,Apache Parquet Java
Organization: apache
Home Page: https://parquet.apache.org/
parquet,Amazon S3 Find and Forget is a solution to handle data erasure requests from data lakes stored on Amazon S3, for example, pursuant to the European General Data Protection Regulation (GDPR)
Organization: awslabs
parquet,ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Organization: bigdatagenomics
parquet,A 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
User: chabane
parquet,A SQLite vtable extension to read Parquet files
User: cldellow
parquet,Boring Data Tool
Organization: datafusion-contrib
parquet,Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.
Organization: derwenai
Home Page: https://derwen.ai/docs/kgl/
parquet,A Python library for fast, interactive geospatial vector data visualization in Jupyter.
Organization: developmentseed
Home Page: https://developmentseed.org/lonboard/latest/
parquet,A cross-platform (Windows, MAC, Linux) desktop application to view common bigdata binary format like Parquet, ORC, AVRO, etc. Support local file system, HDFS, AWS S3, Azure Blob Storage ,etc.
User: eugene-mark
parquet,Go package to read and write parquet files. parquet is a file format to store nested data structures in a flat columnar data format. It can be used in the Hadoop ecosystem and with tools such as Presto and AWS Athena.
Organization: fraugster
parquet,ParquetSharp is a .NET library for reading and writing Apache Parquet files.
Organization: g-research
parquet,
Organization: grai-io
Home Page: https://www.grai.io
parquet,80+ DevOps & Data CLI Tools - AWS, GCP, GCF Python Cloud Functions, Log Anonymizer, Spark, Hadoop, HBase, Hive, Impala, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Travis CI, AWS CloudFormation, Elasticsearch, Solr etc.
User: harisekhon
Home Page: https://www.linkedin.com/in/HariSekhon
parquet,fully asynchronous, pure JavaScript implementation of the Parquet file format
Organization: ironsource
parquet,A consistent table management library in python
Organization: jdasoftwaregroup
Home Page: https://kartothek.readthedocs.io/en/stable
parquet,Fastest and safest Rust implementation of parquet. `unsafe` free. Integration-tested against pyarrow
User: jorgecarleitao
parquet,CSVs sliced, diced & analyzed.
User: jqnatividad
parquet,Rust-based WebAssembly bindings to read and write Apache Parquet data
User: kylebarron
Home Page: https://kylebarron.dev/parquet-wasm/
parquet,Command line tool for inspecting Parquet files
User: manojkarthick
parquet,Read and write Parquet in Scala. Use Scala classes as schema. No need to start a cluster.
User: mjakubowski84
Home Page: https://mjakubowski84.github.io/parquet4s/
parquet,A tool for batch loading data files (json, parquet, csv, tsv) into ElasticSearch
User: moshe
parquet,Simple Windows desktop application for viewing & querying Apache Parquet files
User: mukunku
parquet,Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more.
Organization: multiprocessio
parquet,A command line tool to query an ODBC data source and write the result into a parquet file.
User: pacman82
parquet,cryo is the easiest way to extract blockchain data to parquet, csv, json, or python dataframes
Organization: paradigmxyz
parquet,ParquetS3 Foreign Data Wrapper for PostgresSQL
Organization: pgspider
parquet,Quilt is a data mesh for connecting people with actionable data
Organization: quiltdata
Home Page: https://quiltdata.com
parquet,Fast data store for Pandas time-series data
User: ranaroussi
parquet,Data Preview 🈸 extension for importing 📤 viewing 🔎 slicing 🔪 dicing 🎲 charting 📊 & exporting 📥 large JSON array/config, YAML, Apache Arrow, Avro, Parquet & Excel data files
User: randomfractals
Home Page: https://marketplace.visualstudio.com/items?itemName=RandomFractalsInc.vscode-data-preview
parquet,Rill is a tool for effortlessly transforming data sets into powerful, opinionated dashboards using SQL. BI-as-code.
Organization: rilldata
Home Page: https://www.rilldata.com
parquet,Create full-fledged APIs for slowly moving datasets without writing a single line of code.
Organization: roapi
Home Page: https://roapi.github.io/docs
parquet,⛈️ RumbleDB 1.21.0 "Hawthorn blossom" 🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more
Organization: rumbledb
Home Page: http://rumbledb.org/
parquet,Manipulate arrays of complex data structures as easily as Numpy.
Organization: scikit-hep
parquet,Go library to read/write Parquet files
Organization: segmentio
Home Page: https://pkg.go.dev/github.com/segmentio/parquet-go
parquet,High performance distributed data processing engine
Organization: skale-me
Home Page: https://skale-me.github.io/skale
parquet,A collection of Magnolia add-on modules
Organization: spotify
Home Page: https://spotify.github.io/magnolify
parquet,A portable embedded database using Arrow.
Organization: tonbo-io
Home Page: https://tonbo.io
parquet,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
Organization: uber
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