Google BigQuery Numeric: 4 Key Types Simplified January 7th, 2022 By Nicholas Samuel in BigQuery, Data Warehousing To use Google BigQuery, you will need to move your data from different data sources into your BigQuery Data Warehouse. This will mean that mapping data to the correct data…
BigQuery Create View Command: Syntax & Examples Simplified 101 January 3rd, 2022 By Orina Mark in BigQuery, Data Warehousing A virtual table that is defined by a SQL query is known as a BigQuery View. The presented views have a logical view rather than a materialized one, and it…
BigQuery Partition Tables: 3 Critical Aspects December 30th, 2021 By Sanchit Agarwal in BigQuery, Data Warehousing Analysing data stored in On-premise Data Storage units can be a slow and time-consuming task, especially when your data is generating at an exponential rate and requires constant scaling to…
Google BigQuery MERGE SQL Command: 3 Critical Aspects December 28th, 2021 By Samuel Salimon in BigQuery, Data Warehousing You may be surprised to know that 57% of your customers are willing to provide their personal data to receive discounts or personalized offers? Your audience's willingness to share their…
Working with BigQuery Math Functions: Made Easy 101 December 27th, 2021 By Najam Ahmed in BigQuery, Data Warehousing Google BigQuery has quickly become one of the most popular Serverless Data Warehouses for companies around the globe. Owned by Google Cloud, BigQuery is offered as a Platform as a…
Working with Percentile_Cont BigQuery Function Made Easy December 23rd, 2021 By Samuel Salimon in BigQuery, Data Warehousing Data is an increasingly valuable asset for companies, and the question of where to store it becomes more urgent. If you do not have the time or knowledge to maintain…
BigQuery TRUNCATE TABLE Command Made Easy December 21st, 2021 By Nicholas Samuel in BigQuery, Data Warehousing BigQuery is scalable, allowing organizations to scale their storage up and down based on their changing needs. When using BigQuery, you will want to delete data from some of your…
How to Use BigQuery ALTER TABLE to Modify Your Schemas December 17th, 2021 By Samuel Salimon in BigQuery, Data Warehousing BigQuery allows you to analyze large datasets using SQL queries easily. BigQuery tables can be created and modified as needed to evolve with your analysis requirements. This blog post provides…
Mastering Row Number in BigQuery: Efficient Data Sequencing December 17th, 2021 By Najam Ahmed in BigQuery, Data Warehousing If you need a solution for analyzing nested data, BigQuery ROW_NUMBER is a fantastic choice. The BI Engine and BigQuery ML are both capable of analyzing tons of data quickly…
How to Use BigQuery STRING_AGG Function? Explained in 3 Easy Steps December 13th, 2021 By Hitesh Jethva in BigQuery, Data Warehousing While you are working with a large number of values in Google BigQuery, it's generally useful to be familiar with some of the regularly used SQL aggregation functions, such as…
How to use BigQuery Lag() and Lead() Functions? December 13th, 2021 By Syeda Famita Amber in BigQuery, Data Warehousing Google BigQuery is a serverless Data Warehouse that allows you to analyze voluminous data. As your company grows and starts generating terabytes of complex data, and you have data stored…
How to Efficiently Work with BigQuery List Tables? December 13th, 2021 By Hitesh Jethva in BigQuery, Data Warehousing Google BigQuery, released in 2011, is one of the trusted Data Warehouse service providers for businesses. Over the years, Google's Cloud-based platform has helped many businesses solve large complex datasets…
Understanding BigQuery Struct with Syntax and Examples October 5th, 2021 By Yash Sanghvi in BigQuery, Data Warehousing If you've ever worked with complex, nested data in BigQuery, you know how challenging it can be to manage and query effectively. That's where BigQuery Structs come in handy! Structs…
Google BigQuery Aggregate Functions: Simplified 101 September 29th, 2021 By Nicholas Samuel in BigQuery, Data Warehousing Google BigQuery is a Cloud Storage platform provided by Google. It provides its users with an online platform where they can store their data. Google BigQuery offers many benefits to…
Google BigQuery Median Calculation Simplified 101 September 29th, 2021 By Dipayan Mitra in BigQuery, Data Warehousing Cloud-based technologies have made a significant impact on how businesses operate across the globe. With the increasing demand for data, enterprises face the massive challenge of storing Big Data for…
Google BigQuery COUNT IF and COUNT Functions: A Comprehensive Guide 101 September 24th, 2021 By Preetipadma Khandavilli in BigQuery, Data Warehousing In a business, data created and gathered can cascade to huge volumes in no time. In the last decade, businesses have used the collected data to obtain value with analytics…
Google BigQuery CAST Functions 101: Syntax and Usage Simplified September 22nd, 2021 By Samuel Salimon in BigQuery, Data Warehousing The Structured Query Language (SQL) powers Google BigQuery's query system - SQL is made unequivocally for database management systems and is especially helpful in taking care of structured data. Other…
Setting up BigQuery JSON Extract: Made Easy 101 September 21st, 2021 By Manisha Jena in BigQuery, Data Warehousing Venturing into data science can be challenging, especially when deciding on the right tools to solve specific problems due to the wide array of choices available. In today's era of…
BigQuery Array Functions and Examples Simplified (with code) September 21st, 2021 By Najam Ahmed in BigQuery, Data Warehousing Google BigQuery is a serverless, cost-effective, multi-cloud data warehousing solution that simplifies data access and analysis with optimized performance and availability. It enables users to run SQL-like queries, making it…
Understanding Airflow BigQuery Operators: 4 Critical Aspects September 20th, 2021 By Karan Singh Pokhariya in BigQuery, Data Warehousing This article introduces you to Google BigQuery and Airflow BigQuery Operators. It also provides a comprehensive guide for a better understanding. This article makes it easy for you to understand…