Advanced Time Series Data Modelling

Cassandra is a popular choice for time series data storage, which includes messages, events or similar transactions with a time element. It offers various techniques and tips to improve application performance both now and in the future. Choosing long term storage requires understanding business requirements, as some applications may need to hold data for longer periods such as seven years in financial companies. Time series examples include credit card accounts, smart meter energy data, and tick data for financial instruments. Cassandra's clustering columns can be used to store time series data efficiently, but it is essential to consider storage capabilities and implications of having billions of columns in tables. Modifying the data model structure as its usefulness decreases is recommended, and more information on Cassandra and data modeling can be found at DataStax Academy's tutorials and certification options.