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You are here: Home / Videos / Managing Google Cloud Storage at Scale with Gemini

Managing Google Cloud Storage at Scale with Gemini



AI Data Infrastructure Field Day 1

Manjul Sahay presented for Google Cloud at AIDIFD1


This video is part of the appearance, “Google Cloud Presents at AI Data Infrastructure Field Day 1“. It was recorded as part of AI Data Infrastructure Field Day 1 at 10:30-12:00 on October 2, 2024.


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In the presentation, Manjul Sahay from Google Cloud discusses the challenges and solutions for managing vast amounts of data in Google Cloud Storage, particularly for enterprises involved in data-intensive activities like autonomous driving and drug discovery. He highlights that traditional methods of data management become ineffective when dealing with billions of objects and petabytes of data. The complexity is compounded by the need for security, cost management, and operational insights, which are difficult to achieve at such a large scale. To address these challenges, Google Cloud has developed new capabilities to streamline the process, making it easier for customers to manage their data efficiently.

One of the key solutions introduced is the Insights Data Set, which aggregates metadata from billions of objects and thousands of buckets into BigQuery for analysis. This daily snapshot of metadata includes custom tags and other relevant information, allowing users to gain insights without the need for extensive manual querying and scripting. This capability is designed to be user-friendly, enabling even non-experts to perform complex data analysis with just a few clicks. By leveraging BigQuery’s powerful tools, users can generate actionable insights quickly, which is crucial for maintaining security and compliance, as well as optimizing storage usage and costs.

Additionally, Google Cloud has integrated AI capabilities through Gemini, a natural language interface that allows users to query metadata in real-time without needing specialized knowledge. This feature democratizes data management by shifting some responsibilities from storage admins to end-users, making the process more efficient and less error-prone. Gemini also provides verified answers to common questions, ensuring accuracy and reliability. The overall goal of these innovations is to help enterprises manage their data at scale, keeping it secure, compliant, and ready for AI applications, thereby enabling them to focus on their core business objectives.

Personnel: Manjul Sahay


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