Working with Node.js streams

The text provides an in-depth exploration of Node.js streams, highlighting their importance in efficiently managing large data sets, particularly in scenarios where handling data all at once is not feasible. It outlines the four main types of streams—readable, writable, duplex, and transform—and illustrates their use cases, such as in video streaming applications where data is transferred in chunks to minimize latency. The article explains the concept of batching, which involves collecting data in memory before writing it to disk, and contrasts it with the more efficient approach of using streams to write data as it is received. It also delves into how streams can be composed, transformed, and piped together to facilitate complex data processing tasks. Error handling is addressed through the use of the Pipeline API and pipe methods, with a focus on improving debugging and reducing verbosity. The text concludes by emphasizing the indispensable role of Node.js streams in handling large data efficiently and encourages readers to delve into the Node.js API documentation for further understanding.