This is an article from DZone's 2022 Database Systems Trend Report.
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Time series is present in our daily lives in multiple sectors of society, such as finance, healthcare, and energy management. Some of these domains require high data volume so that insights from analysis or forecasting the behavior of target variables can be obtained. Transferring and processing high data rates and volume across platforms with several users requires storage and computer power availability. Compression techniques are a powerful approach to avoid overwhelming systems. In what follows, time series compression algorithms will be discussed along with their role in real-world applications in different sectors.