Historically, working with big data has been quite a challenge. Companies that wanted to tap big data sets faced significant performance overhead relating to data processing. Specifically, moving data between different tools and systems required leveraging different programming languages, network protocols, and file formats. Converting this data at each step in the data pipeline was costly and inefficient.
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How Apache Arrow accelerates InfluxDB
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