Introduction to Time Series Data and Elasticsearch
Time series data consists of sequences of data points indexed by time, often used to monitor and analyze trends over specific periods. Elasticsearch is a distributed, RESTful search and analytics engine capable of handling large volumes of time-stamped data. By leveraging its aggregation framework, we can efficiently perform various time-based analyses.
Performing Time Series Analysis with Date Aggregation in Elasticsearch
Time series analysis is a crucial technique for analyzing data collected over time, such as server logs, financial data, and IoT sensor data. Elasticsearch, with its powerful aggregation capabilities, is well-suited for performing such analyses. This article will explore how to perform time series analysis using date aggregation in Elasticsearch, with detailed examples and outputs to illustrate the concepts.