Data Scientists work with large datasets using distributed computing tools like Apache Hadoop and Apache Spark. These tools enable them to process data in parallel across many computers, making it much easier to handle large volumes of data. They also use methods to reduce data size, such as partitioning or sampling, so they can manage and analyse data efficiently.
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