Learn how to build an analytics lakehouse on Google Cloud

Google Cloud's end-to-end analytics lakehouse enables organizations to extract data in real time regardless of which cloud or datastore the data resides in and use it in aggregate for greater insight and artificial intelligence (AI), with governance and unified access across teams.

Read this whitepaper to:

Learn how to become a data and AI-driven organization while bringing otherwise disparate data sources together
Understand the best practices for building an analytics lakehouse architecture based on core technical foundations in Google Cloud
Discover the benefits of an analytics lakehouse built on open standards
Achieve trusted data quality with fine-grained and consistent data governance

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Google Workspace Essentials
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Embeds generative AI across Google Workspace apps.

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Sensitive Data Protection
Discover, classify, and protect your valuable data assets.

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Security Command Center
Platform for defending against threats to your Google Cloud assets.

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Block Storage
High-performance storage for AI, analytics, databases, and enterprise applications.

Filestore
File storage that is highly scalable and secure.

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Block storage for virtual machine instances running on Google Cloud.

Cloud Storage for Firebase
Object storage for storing and serving user-generated content.

Local SSD
Block storage that is locally attached for high-performance needs.

Storage Transfer Service
Data transfers from online and on-premises sources to Cloud Storage.

Parallelstore
High performance, managed parallel file service.

Google Cloud NetApp Volumes
File storage service for NFS, SMB, and multi-protocol environments.

Backup and DR Service
Service for centralized, application-consistent data protection.

Web3

Blockchain Node Engine
Fully managed node hosting for developing on the blockchain.

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