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What is Data Streams and Sampling Methods about?

The document discusses the concept of data streams, emphasizing their importance in real-time data processing across various fields such as finance and IoT. It outlines different types of data streams, their characteristics, applications, advantages, and disadvantages, as well as various sampling methods like random, purposive, stratified, systematic, quota, and convenience sampling. Additionally, it highlights the impact of sampling methods on data accuracy and the challenges faced in implementing efficien

Author

Eugene Berna I

Language

EN