Building a data lake on Google Cloud Platform

Store, process, and analyze massive volumes of data in a cost-efficient and agile way.

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A place to capture and use all your data

Land your data in Google Cloud Platform in its raw state — structured or unstructured — and store it separated from compute resources to get away from costly on-premises storage models. Eliminate the headache of data preprocessing and constantly trying to design schemas to handle new data types. Take advantage of Google Cloud Platform’s cutting edge processing, analysis, and machine-learning services to enable impactful use cases inside your company. Leverage the same secure-by-design infrastructure that Google uses to protect identities, applications, and devices.


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Benefits

Getting data into your GCP data lake
From batch to streaming, Google Cloud Platform makes it easy to move your data from wherever it lives into the cloud.
Storing Data at Petabyte Scale
Use Cloud Storage as the central hub for your data lake to benefit from its strong consistency, high-durability design (designed for 99.999999999%), and ability to store data at rest (not bound to compute resources like traditional on-premises models).
Process data how you want
With your data lake living on top of Cloud Storage, you can choose to process data in the way that makes sense for your company.
Advanced analytics using machine learning
Leverage your data lake in GCP to carry out data science experiments and create machine-learning models based on data assets stored in Cloud Storage.

Features

Reference architecture

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