Time Series Database Explained | How Time Series Database Work For Large Volume Of Time-stamped Data
Hi, we'll explore what time series databases are, why they matter, and how they're used in today's data-driven world in every sector. We will cover how time series database works, representation of time series databases, a working example of time series database using stock prices analytics, how they differ from other database types, use cases and applications where they can be helpful and popular time series databases.
A time series database is a specialized type of database that is designed to handle large volumes of time-stamped data. This data can be anything that changes over time, such as sensor data, financial data, or log files.
FEATURED PLAYLISTS
• System Design - • System Design Patterns
• System Design Concepts - • CAP Theorem & PACELC in Distributed S...
• Data Structures - • Data Structures
• Amazon Web Services (AWS) and Cloud Computing - • Amazon Web Service (AWS)
TABLE OF CONTENTS
• 00:00 Introduction
• 00:16 What is Time Series Database
• 00:39 Example Time-stamped Data Represented in Time Series Database
• 03:22 Time Series Database Example with InfluxDB
• 05:44 How Time Series Database differs from Other Databases | Key Features of Time Series Database
• 09:03 Applications of Time Series Database | Use Cases of Time Series Database
• 12:54 Popular Time Series Databases
#timeseries #timeseriesanalysis #timeseriesdatabase #influxdb #database #databases