Töötlemisliinide

Töötlemisliinide, also known as processing pipelines, are a series of data processing steps used to transform raw data into a usable format. These pipelines are commonly used in data engineering, data science, and software development to automate and streamline data processing tasks. They consist of a sequence of operations, each performing a specific task such as data extraction, transformation, and loading (ETL), data cleaning, data enrichment, and data aggregation. The primary goal of a töötlemisliinide is to ensure that data is accurate, consistent, and ready for analysis or storage. Processing pipelines can be implemented using various tools and programming languages, including Apache Kafka, Apache Spark, and Python. They are essential for handling large volumes of data efficiently and ensuring that data is processed in a timely and accurate manner.