Bigtable is a low-latency NoSQL database service for machine learning, operational analytics, and user-facing operations. It's a wide-column, key-value store that can scale to billions of rows and thousands of columns. With Bigtable, you can replicate your data to regions across the world for high availability and data resiliency.

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Documentation resources

Find quickstarts and guides, review key references, and get help with common issues.
Explore self-paced training from Google Cloud Skills Boost, uses cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services.
Training
Training and tutorials

Introduction to Bigtable (Java)

Work through a codelab that teaches you how to avoid common schema design mistakes, import data, read your data, and then use it to generate a heatmap that shows New York City bus data.

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Training
Training and tutorials

Manage Bigtable on Google Cloud

Learn how to how to create an instance, design a schema, and perform administrative tasks in Bigtable.

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Training
Training and tutorials

Benchmarking Bigtable with PerfKit Benchmarker

Run YCSB benchmarks against Bigtable.

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Use case
Use cases

Bigtable for Cassandra users

Learn the differences between Bigtable and Apache Cassandra.

Migration Cassandra Apache

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Use case
Use cases

Credit card fraud detection

Look at a sample application that uses Bigtable as a feature store to deliver a fraud-detection use case.

Fraud detection Bigtable Dataflow

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Code Samples
Code Samples

Java hello world

Create a hello world application using the client library for Java.

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Code Samples
Code Samples

Go hello world

Try a hello world example written in Go.

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Code Samples
Code Samples

C# hello world

Get started with .NET on Bigtable.

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