BigQuery Cost Optimization: Simple Strategies to Save Money September 29th, 2024 By Khawaja Abdul Ahad in BigQuery, Data Warehousing Have you ever opened the billing section of a BigQuery account and got a shocking surprise? You are not alone. BigQuery is a powerful tool, but this power does not…
5 Best Cloud Data Warehouses (Based on G2 Ratings) August 30th, 2024 By Suraj Poddar in BigQuery, Data Warehousing, Redshift, Snowflake In today’s cloud-rich landscape, businesses are turning to data warehouses to store, manage, and analyze their data. As of 2024, over 65k companies use cloud data warehouses to enhance their…
Preparing Data for BigQuery: A Comprehensive Guide June 25th, 2024 By Pratik Dwivedi in BigQuery, Data Warehousing With most companies adopting cloud as their primary choice of storing data, the need for having a powerful and robust cloud data warehouse is on the rise. One of the…
Mastering Google BigQuery ML: A Simplified 101 Guide June 20th, 2024 By Suraj Poddar in BigQuery, Data Warehousing Nowadays, Machine Learning plays a vital role in making calculated decisions and predictions on data. Terabytes of data are generated daily and stored in Data Warehouses and Data Lakes to…
Understanding BigQuery Functions: 6 Comprehensive Aspects June 14th, 2024 By Nitin Birajdar in BigQuery, Data Warehousing Google BigQuery is an essential tool that every enterprise can employ to store data, analyze the data and query the database. It evolved from the term Big Data with a…
BigQuery Cached Query Results 101: Usage Made Easy June 14th, 2024 By Dimple M K in BigQuery, Data Warehousing Most sectors have shifted their focus online, which has led to massive data generated from sensors to customer behavior metrics. The outcome? There is an overwhelming need for Data Analytics…
BigQuery Union Queries Informative Guide: Syntax, Types and 2 Examples June 14th, 2024 By Yash Sanghvi in BigQuery, Data Warehousing Addressing real-world data requires us to merge datasets from multiple data sources so that we could do data analysis or create new datasets. Even if the datasets are similar, there's…
What is BigQuery Dataset ? The Ultimate Guide 101 June 7th, 2024 By Pratik Dwivedi in BigQuery, Data Warehousing BigQuery datasets are a powerful feature of Google Cloud’s fully managed, serverless, and scalable data warehouse. They allow users to organize and manage large-scale data across different regions, perform lightning-fast…
Understanding BigQuery Information_Schema: Made Easy June 7th, 2024 By Arsalan Mohammed in BigQuery, Data Warehousing BigQuery is a cloud platform used by individuals and organizations for the storage of data. BigQuery organizes data into tables. The good thing with BigQuery is that it can scale…
BigQuery Snapshots: How to Create, Use & Query Table Snapshots Simplified 101 June 7th, 2024 By Skand Agrawal in BigQuery, Data Warehousing In this article, you will gain information about Google BigQuery Table Snapshots. You will also gain a holistic understanding of Google BigQuery, its key features, usage of BigQuery Table Snapshots,…
ARRAY_AGG BigQuery Functions 101: Syntax and Usage May 31st, 2024 By Veeresh Biradar in BigQuery, Data Warehousing As businesses and individuals have acknowledged the benefits of keeping their data in Cloud Storage Systems, it has increased the adoption of the Cloud as a Data Storage Platform. As…
How to Use Google BigQuery Subquery: Steps Explained May 31st, 2024 By Dimple M K 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.…
Understanding BigQuery Transaction: An Easy Guide 101 May 24th, 2024 By Talha in BigQuery, Data Warehousing Google BigQuery is a completely managed data warehouse service offered based on subscription payments by Google. Completely managed warehouse services like BigQuery separates the storage and compute costs allowing customers…
BigQuery WITH & Common Table Expressions Statements: Syntax & Usage May 17th, 2024 By Osheen Jain in BigQuery, Data Warehousing The Common table expressions, commonly known as CTEs in SQL Server, is a tool that allows users to design and arrange queries. It has faster development, troubleshooting, and performance improvement.…
How to Set Up BigQuery JDBC Connection – 4 Easy Steps May 17th, 2024 By Dimple M K in BigQuery, Data Warehousing Organizations use Google BigQuery Data Warehouse for analytics and querying large, complex datasets. BigQuery is based on Dremel architecture that divides the query execution into slots. When multiple users are…
Oracle BigQuery Comparison: 11 Critical Differences May 10th, 2024 By Veeresh Biradar in BigQuery, Data Warehousing, Versus Before the database system was invented, data was commonly stored in flat files like text files or CSV files. OracleDB was invented very early with a very large market across…
Apache Druid vs BigQuery: 18 Key Differences May 10th, 2024 By Dimple M K in BigQuery, Data Warehousing, Versus Enterprises need a Data Warehouse to examine data over time and deliver actionable business intelligence. The need to efficiently pull together data from a broad array of ever-evolving data sources…
BigQuery vs Snowflake: Choosing the Right Data Warehouse in 2024 May 10th, 2024 By Sarad Mohanan in BigQuery, Data Warehousing, Snowflake, Versus If you have been looking to find an answer to this question: BigQuery vs Snowflake - Which data warehouse to choose, then you have landed at the right place. We…
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…