Google bigquery - Learn Data Science with Travis

How to upload data to Google BigQuery

Towards Data Science

Google BigQuery (GBQ) allows you to collect data from different sources and analyze it using SQL queries. Among the advantages of GBQ are its high speed of calculations — even with large volumes of…

Geolocation with BigQuery: De-identify 76 million IP addresses in 20 seconds

Towards Data Science

BigQuery is Google Cloud’s serverless data warehouse designed for scalability and fast performance. Using it lets you explore large datasets to find new and meaningful insights. To comply with…

Painless Data Augmentation with BigQuery

Towards Data Science

Google Cloud’s BigQuery is a great tool for data scientists to easily augment their datasets with external data – using BigQuery's public datasets…

Data Analysis with Google Cloud BigQuery

Level Up Coding

Google BigQuery has provided public datasets for you to access and integrate into the applications. Most of the time, researchers waste most of their time and resources in data gathering and storing…

BigQuery: 3 simple ways to Audit and Monitor your Database.

Towards Data Science

Google BigQuery is a managed, highly scalable, serverless data warehouse, capable of querying terabytes of data in seconds. It‘s a great tool, easily accessible for Data Analysts & Scientists…

How to Upload Data to Google BigQuery Using Python: In 3 Steps

Towards Data Science

Google BigQuery is a fast, scalable data storage solution that easily integrates with some of the top data science applications like Power BI and Tableau. If you’ve ever used BigQuery before, you…

How to build efficient and perfomant Data Structures in BigQuery

Towards Data Science

BigQuery is a fully managed, serverless data warehouse on the Google Cloud Platform infrastructure that provides scalable, cost-effective and fast analytics over petabytes of data. It is…

Finding top programming language with BigQuery

Towards Data Science

If you have been following Google’s cloud platform, you are no stranger to BigQuery. In my opinion BigQuery is the most differentiating tool that Google has in its arsenal. With a petabyte scale…

Google Big Query with R

Analytics Vidhya

This article by Tim Schendzielorz gives an overview of the advantages and performance of Google Big Query for Data Scientist and Data Engineers. It is demonstrated how to access public data sets and i...

Standard SQL in Google BigQuery

Towards Data Science

In 2016, Google BigQuery introduced a new way to communicate with tables: Standard SQL. Until then, BigQuery had its own structured query language called BigQuery SQL (now called Legacy SQL). At…

BigQuery Best Practices: Unleash the Full Potential of Your Data Warehouse

Towards Data Science

Google BigQuery, a powerful serverless data warehouse, has become a cornerstone of data analysis and machine learning pipelines for many organizations. To harness its full potential and ensure an…

Introduction to BigQuery ML

Towards Data Science

A few months ago Google announced a new Google BigQuery feature called BigQuery ML, which is currently in Beta. It consists of a set of extensions of the SQL language that allows to create machine…