- Introduction to Streams Concepts
- Stream Data Model and Architecture,
- Stream Computing,
- Sampling Data in a Stream: Stream sampling is the process of collecting a representative sample of the elements of a data stream. The sample is usually much smaller than the entire stream, but can be designed to retain many important characteristics of the stream, and can be used to estimate many important aggregates on the stream. Unlike sampling from a stored data set, stream sampling must be performed online, when the data arrives. Any element that is not stored within the sample is lost forever, and cannot be retrieved.
- Filtering Streams,
- Counting Distinct Elements in a Stream,
- Case Study: Real Time Sentiment Analysis/Stock Market Prediction.
At APTRON Solutions, we understand the importance of practical, hands-on learning. That's why our Data Analytics Course in Noida goes beyond theoretical concepts, providing you with real-world experience and industry-relevant projects. Our expert instructors, who boast extensive experience in the field, will guide you through every step of the learning process, ensuring that you gain a deep understanding of key concepts and techniques.
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