BigQuery

Google BigQuery vs Athena: 7 Critical Differences

May 10th, 2024 By Nitin Birajdar in BigQuery, Data Warehousing, Versus

Today, every organization is moving to serverless cloud offerings to solve many data-related challenges. The primary issue these companies face occurs while trying to manage vast data repositories. In such…

Legacy SQL vs Standard SQL: Simplifying BigQuery Dialects

May 10th, 2024 By Sarthak Bhardwaj in BigQuery, Data Warehousing, Versus

In this age of data transformation where organizations are constantly seeking out ways to improve the day to day handling of data being produced and looking for methods to minimize…

Firebolt vs BigQuery: 6 Comprehensive Differences

May 3rd, 2024 By Radhika Sarraf in BigQuery, Data Warehousing, Versus

With the data growing at a very fast pace, the requirements to store and process data are also increasing. Businesses use Data Warehouses to store the data. Cloud Data Warehouses…

Redshift vs BigQuery: 7 Critical Differences

April 12th, 2024 By Veeresh Biradar in BigQuery, Data Warehousing, Redshift, Versus

As analytics in your company graduates from a MySQL/PostgreSQL/SQL Server, a pertinent question that you need to answer is which data warehouse is best suited for you. This blog tries…

BigQuery Timestamp to Date Conversion: Data Transformation

December 27th, 2023 By Osheen Jain in BigQuery, Data Warehousing

When working with data in BigQuery, you may encounter timestamp fields that you want to convert to simple date values instead. Timestamps in BigQuery are represented as strings in the…

BigQuery INSERT and UPDATE Commands : For Efficient Data Management

December 20th, 2023 By Sarad Mohanan in BigQuery, Data Warehousing

Unlike its peers, BigQuery is serverless and hence provides services dynamically, which means that no provisioning or hardware management is required from the user. This blog will introduce you to…

Simplify Data Handling with BigQuery IFNULL and NULLIF

December 13th, 2023 By Muhammad Faraz in BigQuery, Data Warehousing

With BigQuery, Google makes it easy to access tons of data with analysis, optimized results, and better performance and availability. It is a serverless database, and there is no infrastructure to…

DataStore to BigQuery: 2 Easy Ways to Load Data

May 4th, 2023 By Amit Phaujdar in BigQuery, BigQuery, Data Integration, Data Warehousing

BigQuery is a Google Data Warehouse with built-in Geographic Data Intake, Storage, and Analysis tools. To handle complex data and examine massive datasets, it uses ordinary SQL Queries. Google DataStore…

dbt Incremental BigQuery: How to Optimize Data Transformations

February 28th, 2023 By Manjiri Gaikwad in BigQuery, Data Warehousing

It is essential to keep track of the modifications in data at the source to create a single source of truth with centralization. However, updating and adding data to the…

Best Google BigQuery Public Datasets for 2025: 5 Useful Datasets

January 8th, 2023 By Orina Mark in BigQuery, Data Warehousing

It is no secret that data is precious, but Big Data is even better. With big data, you get a broader scope of research, which ultimately goes a great way…

Databricks vs BigQuery: 5 Critical Differences

June 10th, 2022 By Sanchit Agarwal in BigQuery, Data Warehousing, Versus

Exponentially growing data and the need to quickly process it to gain valuable insights is an ongoing challenge that most businesses face. An efficient solution is to switch from the…

BigQuery Quantiles & Percentile: Using APPROX_QUANTILES Simplified 101

March 31st, 2022 By Jeremiah in BigQuery, Data Warehousing

Quantiles and Percentiles are mathematical techniques related to statistical analysis and machine learning. They are important concepts because, in statistical analysis, most of the distribution of numeric variables that you'll…

How to Setup BigQuery ODBC Connection in 3 Easy Steps

March 28th, 2022 By Sanchit Agarwal in BigQuery, Data Warehousing

Offering an accelerated and unbeatable query performance, Google BigQuery has become a reliable Cloud Data Warehouse & Analytics solution worldwide. With its on-demand scaling, economical pricing, and the ability to…

BigQuery Time Travel: How to access Historical Data? | Easy Steps

March 21st, 2022 By Ishwarya M in BigQuery, Data Warehousing

BigQuery is one of the most popular and highly efficient analytics platforms that allow you to store, process, and analyze Big Data. In addition, BigQuery can process over 100 trillion…

BigQuery IAM Management 101: Defining Permissions & Access Controls Simplified

March 15th, 2022 By Samuel Salimon in BigQuery, Data Warehousing

All of us have heard and seen about Data Breaches and the damage they can cause, both financially and reputationally. As more and more of our decisions are based on…

BigQuery Analysis: A Complete Guide to Exploratory Data Insights

March 9th, 2022 By Roxana Raducanu in BigQuery, Data Warehousing

Exploratory Data Analysis (EDA), also known as Data Exploration, is an approach for the Data Analysis Process that employs various techniques to better understand the data we have. EDA typically…

BigQuery Save Query: How to Save & Share Queries Simplified 101

March 9th, 2022 By Vishal Agrawal in BigQuery, Data Warehousing

Venturing into Data Science and deciding on a tool to use to solve a given problem can be challenging at times especially when you have a wide array of choices.…

Master BigQuery Storage API in Minutes

February 21st, 2022 By Talha in BigQuery, Data Warehousing

BigQuery is a Serverless Data Warehouse that can store Petabytes of data. It provides a comprehensive SQL layer and high-performance querying ability. BigQuery comes with built-in Machine Learning support and…

Building BigQuery External Tables: Syntax, Usage, & Examples Simplified 101

February 15th, 2022 By Ofem Eteng in BigQuery, Data Warehousing

An External data source on BigQuery can be used to directly query data from diverse data locations even though the data is not stored in BigQuery. BigQuery gives you the…

Working With BigQuery Parameterized Queries: Made Easy 101

February 15th, 2022 By Ofem Eteng in BigQuery, Data Warehousing

As a Data-Centric Organization, there is the constant need to seek methods in simplifying your SQL scripts to run them smoothly without obstructions, if not, you could end up running…