HDFS and Data Mutability
HDFS serves as a robust distributed file system that effectively separates metadata from data, enhancing efficiency in handling large datasets. However, it lacks the ability to mutate data easily, leading to the development of Kudu, which aims to combine the strengths of both batch and streaming processing. This discussion highlights the complexities of managing data architectures that require both sequential throughput and random access capabilities.In this clip
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Episode 398: Apache Kudu with Adar Leiber Dembo
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