How does Bigtable work? // TRAIN BRAIN

How does Bigtable work?

Get started today. → https://goo.gle/48wIdK2
Curious about the architecture behind Google's most demanding applications? See how Bigtable, Google Cloud's scalable, low latency NoSQL database, is engineered to handle massive throughput and power real time workloads.
Watch along and discover the core mechanics of how Bigtable works under the hood. Dive into its unique three dimensional sparse data model defined by row keys, columns, and timestamps. Plus, learn how it supports a flexible, evolving schema, uses unique row keys as primary indexes for highly efficient data access, and maintains fast row level transactions.
? Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#GoogleCloud #Bigtable #NoSQL
Speakers: Gabe Weiss
Products Mentioned: Bigtable, BigQuery

Google Cloud Tech

Helping you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning....

Your AI agent is forgetful. Here’s how to give it a brain.

Build cost effective, scalable apps using Firestore with MongoDB compatibility

How to scale Gen AI to billions of rows in BigQuery at a fraction of the cost

How does Bigtable work?

Welcome to Bigtable

Why 99% of AI agents fail in production (and how to fix it) | The Agent Factory

What is Gemini Enterprise Agent Platform?

Gemma 4 production stack: Model Armor, ADK Agents, Tracing

Self host Gemma 4: Deploy LLMs on Cloud Run GPUs

How to scale to 60 million requests (with ZERO ops team) using Cloud Run

AI agent long-term memory with memory bank

Mark your calendars for the AI Agent Clinic on April 15th!

Join our Googlers live on April 15th!

Orchestrating ML/AI workloads with TPUs on GKE

BigQuery Graph in 5'

How to add persistent memory to your AI agent

What are domain specific language models?

Cloud Run Networking explained (Updated!)

Fundamentals of ADK - Learning Path

Looker and AlloyDB: The ultimate stack for near real time operational business intelligence

How to authenticate Google Cloud Client Libraries

Reinforcement learning on TPU demo

Private routing to Google with Network Connectivity Center

Running a multi-agent AI architecture

How to get started with Google Cloud Client Libraries

BigQuery Migration Service: Validation and optimization

Build an AI agent with Gemini CLI and Agent Development Kit

Mainframe Connector demo series

Accelerate with AI debrief

Quickstart: Conversational Analytics with GCP Billing and Looker

Scaling your AI agent architecture with Cloud Run

Building AI agents that speak to each other

What are Google Cloud Client Libraries?

Architecting multi-agent systems

BigQuery Migration Service: SQL and data transfer

Can we build the ultimate AI co-founder in 72 hours with Gemini?

Reinforcement learning & fine-tuning on TPUs | The Agent Factory Podcast

Building a life saving MCP server on Cloud Run (Avalanche demo)

What is Cluster Director?

Serving open models on Vertex AI: The comprehensive developer's guide

How to evaluate agents in practice

Antigravity and Nano Banana Pro with Remik | The Agent Factory Podcast

How to build context systems for AI agents

Run MongoDB compatible apps on Firestore (Zero code changes)

Stop coding, start architecting: Google Antigravity + Cloud Run

[Demo] Network Security Integration with Palo Alto

How to build a financial analyst assistant with Vertex AI Studio & Gemini in under 10 minutes

The agent evaluation revolution

Agent sandbox and Pod snapshotting: Supercharging agents on GKE | The Agent Factory Podcast

Leveraging the Looker connector in Looker Studio

How to assess data lake and data warehouse migrations to BigQuery

Refining your vision: A guide to AI image editing

From text to vision: An intro to AI image generation

Evolving your story: A guide to AI video editing

Bringing ideas to life: An intro to AI video generation

Building with Gemini 3, AI Studio, Antigravity, and Nano Banana | The Agent Factory Podcast

Fine-tuning open LLMs on GKE: The implementation gap

Video avatar agent | The Agent Factory Podcast

Gemini CLI: Write and deploy a Cloud Run app in 5 minutes

Build ANYTHING with Gemini 3 | The Agent Factory Podcast

Building Your Own MCP Server with ADK

This AI agent runs on Cloud Run + NVIDIA GPUs

Scaling AI with Google Cloud's TPUs

Deploying scalable and reliable AI inference on Google Cloud

Serving AI models at scale with vLLM

AI workload orchestration options

AI/ML frameworks for cloud TPUs

Model types and performance bottlenecks

AI workload storage options

Connecting ADK Agents to MCP Servers

Use the Gemini CLI Jules and Observability extensions together

Introduction to Vertex AI Agent Engine

Power your AI agents with MCP tools on Google Cloud Run

Use the Gemini CLI Jules and security extensions to fix security vulnerabilities in the background

Use the Jules extension for Gemini CLI to fix multiple GitHub issues

Dataplex fundamentals: Aspects & glossaries

We tried to jailbreak our AI (and Model Armor stopped it)

Parallel bug fixing & unit testing with Jules and Observability extensions for Gemini CLI

How to fix security vulnerabilities with the Jules and security extensions for Gemini CLI

How to fix multiple GitHub issues at once using the Jules extension for Gemini CLI