Google's Data Cloud provides a unified data analytics foundation built on BigQuery that brings your data together into one place, integrating structured and unstructured data with AI to...

2022年8月3日 · Today we are announcing Data Studio, our self-service business intelligence and data visualization product, as a Google Cloud service, enabling customers to get Data Studio …

Migrate, manage, and modernize data with secure, reliable, and highly available databases from Google Cloud. Find the right database for your needs.

A Data Engineer designs and builds systems that collect and transform the data used to inform business decisions. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Data Engineer role.

Google Cloud Platform lets you build, deploy, and scale applications, websites, and services on the same infrastructure as Google.

2023年9月24日 · Google Cloud Dataplex is an intelligent Data Fabric that provides a way to centrally manage, monitor, and govern your data across data lakes, data warehouses and data...

2019年6月26日 · One of the key strength of Google Cloud Platform is its data and analytics capabilities, more specifically its unique offering like Big Query, Cloud Data Fusion, Cloud Dataflow, Cloud BigTable...

2024年3月15日 · Google Cloud Platform (GCP) offers a powerful ecosystem specifically designed to empower data engineers. It is supported by a comprehensive set of managed services and tools...

This module provides an introduction to the role of a data engineer. It covers key concepts such as data sources and sinks, data formats, storage options on Google Cloud, metadata management, and the use of Analytics Hub for data sharing within and outside an organization.

2023年11月17日 · Each chapter provides step-by-step instructions and examples illustrating how to use GCP services for data science and big data projects. Readers will learn how to set up a Google Colaboratory account and run Jupyternotebooks, access GCP services and data from Colaboratory, use BigQuery for data analytics, and deploy machine learning models ...