BigQuery Nested Fields Simplified: A Comprehensive Guide 101 February 4th, 2022 By Nicholas Samuel in BigQuery, Data Warehousing BigQuery is a popular Cloud Data Platform developed by Google. It allows its users to store their data in the cloud and enjoy massive scalability. BigQuery also comes with Data…
Google BigQuery vs Azure Synapse: 5 Critical Differences February 2nd, 2022 By Davor DSouza in BigQuery, Data Warehousing, Versus Cloud Computing has played a critical role in transforming the global business landscape. Companies no longer need to worry about data storage resources because cloud service providers can provide these…
Google BigQuery Limits & Quotas: Comprehensive Guide 101 February 1st, 2022 By Aditya Jadon in BigQuery, Data Warehousing Companies allocate a significant amount of budget for managing the data and other business operations for Marketing and Analytics. They know the importance of data in making data-driven business decisions…
Google Cloud SQL vs BigQuery: Key Differences January 31st, 2022 By Nicholas Samuel in BigQuery, Data Warehousing, Versus In the ever-evolving landscape of cloud computing, businesses are inundated with choices when it comes to managing their data. Among the most prominent options are Google Cloud SQL and BigQuery—two…
Google Cloud Spanner vs BigQuery: 9 Critical Key Differences January 31st, 2022 By Pratik Dwivedi in BigQuery, Data Warehousing, Versus This post aims to discuss the differences between the above two Google Cloud solutions that is, Google Cloud Spanner vs BigQuery. We will also discuss their similarities towards the end…
Google BigQuery Vs SQL Server: 8 Critical Differences January 27th, 2022 By Vishal Agrawal in BigQuery, Data Warehousing, Versus Do you want to find the best database software? Are you unsure whether Google BigQuery or Microsoft SQL Server is best for you? It is impossible to determine whether Google…
BigQuery Count Unique 101: COUNT DISTINCT Function Syntax & Usage Simplified January 25th, 2022 By Hitesh Jethva in BigQuery, Data Warehousing BigQuery is a Cloud Storage Platform developed by Google to store data, analyze, and create reports. There are many benefits of using Google Bigquery, such as providing Accelerated Insights, Scaling…
BigQuery Columns to Rows: Using Pivot & Unpivot Operators Simplified 101 January 24th, 2022 By Rakesh Tiwari in BigQuery, Data Warehousing Pivot and Unpivot are Relational Operators used to transform one table into another in order to obtain a more simplified view of the data. Conventionally, the Pivot operator converts the…
Working with BigQuery UPSERT & EXECUTE IMMEDIATE: Made Easy 101 January 20th, 2022 By Yash Sanghvi in BigQuery, Data Warehousing When working with BigQuery, performing complex data operations like UPSERTs (Update + Insert) can be challenging. While BigQuery doesn’t support a direct UPSERT command, the MERGE statement offers a powerful…
Exploring BigQuery Regex and Pattern Matching January 20th, 2022 By Amit Kulkarni in BigQuery, Data Warehousing Regular expressions are an incredibly powerful tool for manipulating, searching, and transforming text data. Also known as regex, they provide a concise way to match strings of text against specified…
What is BigQuery Sandbox?: A Comprehensive Guide 101 January 19th, 2022 By Nicholas Samuel in BigQuery, Data Warehousing Google BigQuery is a Serverless Cloud Data Warehouse Solution offered by Google. BigQuery is easy to use as you can gain insights from your data using standard SQL queries. Today,…
Google BigQuery FIRST_VALUE and LAST_VALUE Functions Simplified 101 January 19th, 2022 By Isola Saheed Ganiyu in BigQuery, Data Warehousing Businesses rely on data analysis for insightful decisions. If your company has been existing for a while, you probably have huge buckets of data. Analyzing these functions can prove difficult…
BigQuery Hash Function: Easy Guide January 19th, 2022 By Vishal Agrawal in BigQuery, Data Warehousing Google BigQuery is the product offered by Google Cloud Platform, which is serverless, cost-effective, highly scalable data warehouse capabilities along with built-in Machine Learning features. Google Bigquery supports ANSI SQL,…
Working with BigQuery Dense_Rank & Rank Functions: Made Easy January 18th, 2022 By Vishal Agrawal in BigQuery, Data Warehousing Bigquery is a widely used data warehouse that is able to process and store raw data efficiently. It provides various function to help in performing the tasks efficiently. Windows functions…
Understanding Federated Query BigQuery Made Easy January 18th, 2022 By Orina Mark in BigQuery, Data Warehousing What if someone asked you some incredibly specific questions regarding your customers. With this in mind, this post dives into Big Data Analytics and Queries. Specifically, it is designed to…
Google BigQuery AVG Function 101: Syntax, Usage & Examples Simplified January 18th, 2022 By Nicholas Samuel in BigQuery, Data Warehousing Google BigQuery is a cloud-based data warehouse solution provided by Google. It offers users a flexible platform to store and analyze their data. It scales automatically to meet changing storage…
Querying BigQuery Table Metadata: Made Easy 101 January 17th, 2022 By Jeremiah in BigQuery, Data Warehousing As a Data Engineer working with tables in BigQuery, you often need to have a high-level overview of their structure. This post discusses an easy approach to pull metadata from…
How to Rename a Column in Google BigQuery: A Simple Guide January 13th, 2022 By Yash Arora in BigQuery, Data Warehousing Google BigQuery — a serverless, highly scalable, and cloud-agnostic data warehouse-as-a-service — is a blessing for today's businesses that deal in petabyte-scale information exchange environments. Backed by the processing power of Google's…
Working with BigQuery Stored Procedures & Scripts: Made Easy January 7th, 2022 By Arsalan Mohammed in BigQuery, Data Warehousing A Collection of SQL statements is known as a Bigquery script. all the statements can be executed in a single request. Scripts consist of Variables and Control-flow statements and have…
BigQuery Delete Table & Drop Table Commands January 7th, 2022 By Manisha Jena in BigQuery, Data Warehousing In this article, you will gain information about undergoing BigQuery Delete Table. You will also gain a holistic understanding of Google BigQuery, its key features, managing BigQuery Tables and the…