Google bigquery - Learn Data Science with Travis

Travis chat

Filters

Google bigquery

Google BigQuery is a fully-managed, serverless data warehouse that enables fast SQL queries and interactive analysis of large datasets. It is designed to handle big data and provides a scalable solution for data storage and processing. BigQuery is built on Google’s Dremel technology, which allows it to execute SQL queries efficiently by transforming them into execution trees that read data from Google’s distributed filesystem. This architecture enables high scalability and quick response times, even with massive datasets ¹.

BigQuery supports two SQL dialects: Standard SQL and Legacy SQL. Standard SQL is recommended for its flexibility, support for nested and repeating fields, and better performance with large datasets. Users can easily switch between these dialects in the BigQuery interface ²³. Additionally, BigQuery integrates with various tools and services, making it a versatile choice for businesses looking to analyze their data without the need for extensive infrastructure management ².

If you’re interested in learning more about specific features or how to get started with BigQuery, feel free to ask!

Want to use BigQuery? Read this

Towards Data Science

I recently started to use BigQuery and I must admit I fell in love with the DB… This article is my attempt to explain the technology behind it, which is a requirement to efficiently utilise the DB in…...

Overview of the main Google BigQuery features

Towards Data Science

The more information a business accumulates, the more acute the question of where to store it. If you don’t have the ability or desire to maintain your own servers, Google BigQuery (GBQ) can help…

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…

How to Avoid Five Common Mistakes in Google BigQuery / SQL

Towards Data Science

Google BigQuery is popular for many reasons. It is incredibly fast, easy to work with, provides the full GCP suite, takes care of your data, and ensures to catch mistakes early on. On top of that, you...

BigQuery from the command line

Level Up Coding

Working with BigQuery can be quite involved. The Cloud Console (Google’s name for the web-based cloud management interface) is powerful, but tasks quickly become repetitive and cumbersome…

What’s the deal with Google BigQuery, and what does it cost?

Level Up Coding

The purpose of this article is to give you a rough overview of BigQuery and a few insights into its pricing factors. Even though you might want to start immediately — trust me, I really understand…

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…

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…

Intro to BigQuery and its Free Data Sets

Towards Data Science

Finding and accessing data is rarely easy — especially free data. However Google’s BigQuery has a huge bank of databases which are freely available and couldn’t be simpler to access. The queries for…

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...

Connecting DBeaver to Google BigQuery

Towards Data Science

From the first moment that I used Google BigQuery, I felt the necessity to connect to a local IDE instead of using the Web Interface. Still, I gave the time to use it, thinking that maybe I am…

Getting Started With SQL and BigQuery

Kaggle Learn Courses

Introduction Structured Query Language, or **SQL**, is the programming language used with databases, and it is an important skill for any data scientist. In this course, you'll build your SQL skills ...