Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit"
Feature Store for Machine Learning
tbls is a CI-Friendly tool for document a database, written in Go.
Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ
Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks
Content discovery wordlists generated using BigQuery
🍟 a notebook sql client. what you get when have a lot of sequels.
Node.js client for Google Cloud BigQuery: A fast, economical and fully-managed enterprise data warehouse for large-scale data analytics.
Common solutions and tools developed by Google Cloud's Professional Services team
Easily view PyPI download statistics via Google's BigQuery.
Pandas Google BigQuery
A tool for data sampling, data generation, and data diffing
Lightweight Open Source Business Intelligence and reporting tool for mongodb, postgresql, Mysql, MS sql, oracle, & google bigQuery allow users create their own reports just dragging and dropping, widestage also has a data governance layer AKA semantic lay
A Scala API for Apache Beam and Google Cloud Dataflow.
🧞 Convert JSON Objects to MySQL, JSON Schema, Mongoose, Google BigQuery, Swagger, and more.
Web-based SQL editor run in your own private cloud. Supports MySQL, Postgres, SQL Server, Vertica, Crate, Presto, SAP HANA, Cassandra, Snowflake, BigQuery, SQLite, and more with ODBC
Simple Python client for interacting with Google BigQuery.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
An interface to Google's BigQuery from R.
Learn how to use BigQuery ML on Google Cloud Platform to predict the outcome of horse races - Machine learning skill not required.
Abhishek Kashyap introduces BigQuery ML, a new way of using Machine Learning in BigQuery with 2 lines of SQL. Abhishek walks through an example ...
Predictive Analytics with BigQuery ML Event schedule → http://g.co/next18 Watch more Data Analytics sessions here → http://bit.ly/2KXMtcJ Next '18 All ...
Are you ready to take your knowledge of SQL to its final frontiers? Join this session to learn how you can use BigQuery and its SQL 2011 compliant features to ...
This talk, by one of the founders of the BigQuery team and a founder and current CTO of Looker, will make the case that BigQuery is not just another Enterprise ...
We all love data. But it can be hard to make practical use of large datasets. In this episode of AI Adventures, Yufeng Guo introduces BigQuery public datasets, ...
There's so much you can do using BigQuery with your Analytics data, but sometimes it's hard to know just how to get started. In this video, Todd Kerpelman ...
Most experienced data analysts and programmers already have the skills to get started. BigQuery is fully managed and lets you search through terabytes of data ...
BigQuery is a different data warehouse, permitting new approaches to data modeling. To get the most out of this system, Dan McClary and Daniel Mintz examine ...
If you want to analyze terabytes of data in seconds, Google BigQuery might be the simplest and fastest tool to do so. If you are wondering "What is BigQuery?