Learn how to design a scalable and resilient data architecture in Google Cloud Platform with key principles, best practices, and common components.

This project demonstrates how to build and automate an ETL pipeline using DAGs in Airflow and load the transformed data to Bigquery. There are different tools that have been used in this project such ...

BigQuery is a serverless solution that can easily and effectively process petabytes scale dataset. Apache Airflow: orchestrate the workflow by issuing command line to load data to BigQuery or SQL ...

Alphabet (NASDAQ:GOOGL) could unlock massive shareholder value by spinning off its divisions, D.A. Davidson said in a ...

BigQuery: It is the fully managed, next-gen data warehouse by GCP designed to run SQL queries over large datasets fast. Ideal for any business with the need to analyze real-time large volumes of data, ...

A powerful, cloud-native data platform that is transforming how the company operates, measures, and innovates across all ...

Powered by Google Cloud’s Anthos hybrid-cloud platform, BigQuery Omni allows developers to use the BigQuery engine to analyze data that sits in multiple clouds, including those of Google Cloud ...

One of Google Cloud’s fastest growing services, BigQuery has differentiated itself by the ability to scale querying of large sets of data with ability to support high concurrency. We’re ...

BigQuery Omni is enabled by Google Cloud's Anthos technology, which allows Google Cloud Platform (GCP) services to run on other clouds, by deploying the software of the service in question as ...