[Solved] What is a key advantage of using Google Cloud Bigtable for storing time-series data? — Ans: It can handle very large volumes of data with low latency | GCP

GCP - Cloud Firestore and Bigtable

What is a key advantage of using Google Cloud Bigtable for storing time-series data?

AIt automatically creates relational tables for complex joins

BIt can handle very large volumes of data with low latency

CIt provides built-in machine learning models for time-series forecasting

DIt stores data only in JSON format for easy querying

Step-by-Step Solution

Solution:

Step 1: Understand Bigtable's design for scale
Bigtable is designed to handle huge amounts of data efficiently, especially for time-series data that grows fast.
Step 2: Compare features with other options
Unlike relational databases, Bigtable focuses on speed and scale, not relational joins or built-in ML models.
Final Answer:
It can handle very large volumes of data with low latency -> Option B
Quick Check:
Bigtable advantage = Large scale and low latency [OK]

Quick Trick: Bigtable excels at fast, large-scale time-series data [OK]

Common Mistakes:

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What is a key advantage of using Google Cloud Bigtable for storing time-series data?