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google-cloud-node - Google Cloud Client Library for Node.js
Node.js idiomatic client for Google Cloud Platform services.If you need support for other Google APIs, check out the Google Node.js API Client library.
google-cloud nodejs bigquery bigtable compute datastore dns language logging prediction-api pubsub speech-recognition storage translate visionscio - A Scala API for Apache Beam and Google Cloud Dataflow.
Verb: I can, know, understand, have knowledge.Scio is a Scala API for Apache Beam and Google Cloud Dataflow inspired by Apache Spark and Scalding.
google-cloud-dataflow bigquery scala-macros google-cloud apache-beamfranchise - 🍟 a notebook sql client. what you get when have a lot of sequels.
Franchise is a lightweight but powerful SQL tool with a notebook interface. You can use it online at franchise.cloud. There's an online version of franchise right here. There are also instructions for building franchise to static files here.
sql mysql postgresql bigquery databaseredash - Make Your Company Data Driven
Redash is our take on freeing the data within our company in a way that will better fit our culture and usage patterns. Prior to Redash, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one.
redash visualization analytics bi angular redshift bigquery athena mysql postgresql dashboardElasticsearch-Exporter - A small script to export data from one Elasticsearch cluster into another.
A command line script to import/export data from ElasticSearch to various other storage systems. This is a brand new implementation with lots of bugs and way too little time to test everything for one lonely developer, so please consider this beta at best and provide feedback, bug reports and maybe even patches.
export import elastichsearch data-pump file transfer tools cli command-line database backup restore archive synchronize dump replicate mongodb mysql csv hbase datastore bigqueryCube.js — Open-Source Analytical API Platform
Cube.js is an open-source analytical API platform. It is primarily used to build internal business intelligence tools or add customer-facing analytics to existing applications. Cube.js was designed to work with serverless data warehouses and query engines like Google BigQuery and AWS Athena. A multi-stage querying approach makes it suitable for handling trillions of data points. Most modern RDBMS work with Cube.js as well and can be further tuned for performance.
analytics mysql bigquery chart spark presto hive microservice serverless athena postgresql cubegenerate-schema - Convert JSON Objects to MySQL Schema, JSON Schema, Mongoose Schema, Google BigQuery, or a Generic template for Swagger files, documentation, code generation, and more
Convert JSON Objects to MySQL Table Schema, JSON Schema, Mongoose Schema, ClickHouse Schema, Google BigQuery, or a Generic template for documentation, code generation, and more. Optionally, add -g to the above if you want the generate-schema command line executable.
json schema object convert manipulate traverse types type is generate produce mongoose generic validation bigquery google data datatypesbigrquery - An interface to Google's bigquery from R.
The low-level API provides thin wrappers over the underlying REST API. All the low-level functions start with bq_, and mostly have the form bq_noun_verb(). This level of abstraction is most appropriate if you’re familiar with the REST API and you want do something not supported in the higher-level APIs. The DBI interface wraps the low-level API and makes working with BigQuery like working with any other database system. This is most convenient layer if you want to execute SQL queries in BigQuery or upload smaller amounts (i.e. <100 MB) of data.
r database bigqueryfeast - Feature Store for Machine Learning
Feast (Feature Store) is a tool to manage storage and access of machine learning features. Access to features in serving: Machine learning models typically require access to features created in both batch pipelines, and real time streams. Feast provides a means for accessing these features in a serving environment, at low latency and high load.
machine-learning features ml bigquery kubernetesGrowthBook - The Open Source A/B Testing Platform
Growth Book is an open source experimentation platform designed for companies that want to bring A/B testing in-house, but don't want to build it themselves. It supports experimentation with deep code integration or using a visual front-end editor.
bigquery statistics analytics clickhouse google-analytics mixpanel snowflake experimentation redshift abtesting abtest split-testing optimizely vwo google-optimize testing testing-platform testing-toolsElementary - Data observability platform for modern data teams that is open and transparent
Elementary was built out of the need to effortlessly and immediately gain visibility into the data stack, starting with tracing the actual upstream & downstream dependencies in the data warehouse, without any implementation efforts, security risks or compromises on accuracy.
bigquery snowflake data-warehouse dataops data-analysis data-pipelines data-pipeline lineage data-governance data-lineage data-observability analaytics-engineering data-reliabilityBigQuery-Python - Simple Python client for interacting with Google BigQuery.
Simple Python client for interacting with Google BigQuery.This client provides an API for retrieving and inserting BigQuery data by wrapping Google's low-level API client library. It also provides facilities that make it convenient to access data that is tied to an App Engine appspot, such as request logs.
bigquery google-bigqueryMLCraft - Low-code business intelligence tool and a data science workflow
MLCraft is an open-source low-code business intelligence tool and a data science workflow. MLCraft was designed to query the data from several data warehouses and run machine learning experiments. Cube.js is used as a primary query layer and makes it suitable for handling trillions of data points. It is a full-stack data science platform that provides everything you need to build, manage and automate machine learning
mysql bigquery big-data spark presto hive athena analytics clickhouse postgresql business-intelligence redshiftpypinfo - Easily view PyPI download statistics via Google's BigQuery.
pypinfo is a simple CLI to access PyPI download statistics via Google's BigQuery.Hatch is distributed on PyPI as a universal wheel and is available on Linux/macOS and Windows and supports Python 3.5+ and PyPy.
bigquery pypi statisticsLINQ-to-BigQuery - LINQ to BigQuery is C# LINQ Provider for Google BigQuery
LINQ to BigQuery is C# LINQ Provider for Google BigQuery. It also enables Desktop GUI Client with LINQPad and plug-in driver.LINQPad Driver can install from LINQ Pad driver gallery. "Add connection" -> "View more drivers..." -> clcik "LINQ to BigQuery" - "Download & Enabled driver" link. Note:Configuration's JSON is OAuth2 JSON Generate from GCP Management Page.
bigquery c-sharpgcp-service-broker - Cloud Foundry service broker for Google Cloud Platform services
This product is a Cloud Foundry Service Broker. It adheres to v2.8 of the Service Broker API.Requires Go 1.8 and the associated buildpack.
cloud-foundry google-cloud-platform service-broker cloud-storage gcp cloud-sql pubsub bigquery machine-learning-api bigtableratatool - A tool for random data sampling and generation
Or download the release jar and run it.The command line tool can be used to sample from local file system or Google Cloud Storage directly if Google Cloud SDK is installed and authenticated.
scalacheck avro parquet bigquery protobufpandas-gbq - Pandas Google Big Query
See the pandas-gbq documentation for more details.
pandas bigquery datanode-google-bigquery - Google BigQuery API using service account credentials.
Copy your .pem file to the 'test' folder, and then run the tests using mocha or npm test. Notice: these tests are going to be hitting your bigquery account directly, so I recommend setting a tests project, and setting the mocha timeout to 10 seconds (mocha --timeout 10000 test/tests.js).
google bigqueryshapeless-datatype - Shapeless utilities for common data types
This library includes the following modules. Due to library dependency shapeless-datatype-datastore is built for different versions of Datastore client, e.g. shapeless-datatype-datastore_1.3 for datastore-v1-proto-client 1.3.0.
shapeless datastore bigquery scalacheck google-cloud tensorflow
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