From the course: AWS Certified Database – Specialty (DBS-C01) Cert Prep: 1 Introduction and Services
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Time series databases (Timestream) - Amazon Web Services (AWS) Tutorial
From the course: AWS Certified Database – Specialty (DBS-C01) Cert Prep: 1 Introduction and Services
Time series databases (Timestream)
- There are many scenarios where you need to track data over time, how that data changes, how that data is modified or adjusted over time. And to do that, we often use what's called a time series database. So it's a database that is actually optimized for measuring changes over time. In AWS, this is called Timestream, which is, as we've said for many other services, a fully managed database. So this gives us the ability to monitor sensors, for example. So maybe you've got sensors in an industrial environment that are reporting every minute or even every second on some metric that they're measuring or multiple metrics that they're measuring. So they've got a value of that metric at a time, another value at a time, another value at a time. And they tend to come in at a stream from one or multiple sensors. But basically, any system where you have value over time tracking that needs to happen, you can use a time series…
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Contents
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AWS database services5m 26s
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(Locked)
Relational databases (Aurora, Redshift, and RDS)9m 32s
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(Locked)
Key-value (NoSQL) databases (DynamoDB)6m 45s
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(Locked)
In-memory databases (ElastiCache)6m 14s
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(Locked)
Document databases (DocumentDB)5m 51s
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(Locked)
Graph databases (Neptune)3m 53s
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(Locked)
Time series databases (Timestream)2m 48s
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(Locked)
Ledger databases (QLDB)3m 16s
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(Locked)
Instance-based database servers5m 57s
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(Locked)
Access control and authentication6m 19s
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