With its variety of tools and software, Google Cloud Platform presents the ideal one-stop-shop for all things data, from collecting it to applying it in your everyday activities. We’ve put together this cheat sheet to demystify the whole process, and how Google fits into each stage - and read on afterwards to find out more about the benefits of moving your data infrastructure to GCP!
There are multiple benefits to using Google for your data governance needs that put it leaps and bounds ahead of on-premise servers:
GCP tools are highly scalable. You can buy extra storage or extra computing power for busy periods, and you only pay for it as and when you need it - in the case of data, this makes it highly useful for cases when there is an upsurge in the amount of data being generated and to be processed.
GCP is highly secure. As well as an armoury of cybersecurity features, GCP can also distribute your data among multiple centres so that even in the unlikely event of damage due to natural disasters, no data would be lost.
GCP is a greener alternative. Google is already carbon neutral and aims to become carbon-free by 2030, making running your organisation’s digital infrastructure on Google a significant way to reduce your carbon footprint.
How can Cobry help?
As an official Google Cloud Partner, Cobry knows the Google landscape inside and out. When you work with us, we’ll marry our knowledge of GCP’s data capabilities with your organisation’s objectives and goals to help you get the most out of the data you collect.
See the Big Picture: Data Architecture
Before diving into individual tools, it's helpful to understand how they all fit together in a modern data stack.
Understand the Landscape: Get a high-level view of where does GCP fit into an organisation's data landscape.
Build Your Foundation: Learn why you need a data pipeline and the best practices for data ingestion in GCP.
Deep Dive into Key Services
Does a specific tool on the cheat sheet catch your eye? We have more detailed guides for the most important services.
For Data Warehousing (BigQuery): The best way to learn is by doing. Get started with the BigQuery Sandbox.
For Data Visualization (Looker & Looker Studio): Understand the differences in our Looker vs Looker Studio comparison and learn why deploying Looker and BigQuery is a no-brainer.
For Data Transformation (Dataform, Dataprep, Data Fusion): We compare these powerful tools in our guide, Dataform vs Dataprep vs Data Fusion.
For Data Governance (Dataplex): Learn how to manage your metadata with the Dataplex Data Catalog.
Get Hands-On with GCP
Ready to move from reading to building? Google makes it easy to get started without a big financial commitment.
Start for Free: Learn all about the GCP Free Tier, which gives you access to many of these data services at no cost.
