Bigtable is Google's proprietary large-scale database system that handles structured data. It uses Google File System, Chubby Lock Service, SSTable and other Google technologies. Bigtable allows storing terabytes or petabytes of time-series, financial, IoT, graph and other data. It is used prominently in Google Search, App Engine, Google Analytics, Google Earth and other applications. Quickstarts are provided to write and read data from Bigtable tables using the cbt tool or HBase shell. Key features include large storage capacity, integration with machine learning tools, high throughput, availability and scalability.

1. WHAT IS BIGTABLE?

2. Agenda
• What is Bigtable?
• Bigtable Architecture
• Features of Bigtable
• QuickStart to Bigtable
• Learning resources

3. What is Bigtable?
❖ Bigtable is Google's proprietary data storage system built on Google
File System, Chubby Lock Service, SSTable, and other Google
technologies.
❖ It is a distributed, column-oriented data store that handles very large
amounts of structured data.
❖ It allows organizations to store terabytes or petabytes of data such as
time-series data, financial data, IoT data, graph data, and so on.
❖ It is a prominent database for several applications such as Google
Personalized Search, App Engine Datastore, Google Analytics, Google
Earth, and so on.

4. Bigtable Architecture
Source: Google Cloud

5. QuickStart to Bigtable
To start learning about Cloud Bigtable, you can go through the
fundamentals that you would use at scale in a production
environment.
➢QuickStart using the cbt tool
➢QuickStart using HBase shell

6. Write data to a table
01
02
03
04
Connect to a Cloud Bigtable instance.
Perform basic administrative tasks
Read data from a table
QuickStart using the cbt tool
In this QuickStart, you perform the following actions:

7. Connect to your instance
01
02
03
04
Create a Google Cloud Project
Create a Bigtable instance
Read and write data
QuickStart using HBase Shell
In this QuickStart, you perform the following actions:

8. 4
5 6
1 2 3
Large-Scale
Storage
Integration
with ML
Tools
High
Throughput
High
Availability
High
Scalability
Fully-
Managed
Database
Features of Bigtable

9. Learning Resources
To learn more about Cloud Bigtable, you can read Google’s documentation.
Also, go through the links provided below:
• Google Cloud Bigtable – Documentation
• What is a Bigtable? – Whizlabs blog
Thanks and keep on learning!

10. About Author
Girdharee is a cloud certification expert and a content marketer with Whizlabs.
You can reach out to him for questions related to AWS, Azure and Google cloud
certifications.
Company Website - https://www.whizlabs.com/
LinkedIn -https://www.linkedin.com/in/girdharee/

11. THANK YOU