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Apache Parquet is a free and open-source column-oriented data storage format in the Apache Hadoop ecosystem. It is similar to RCFile and ORC , the other columnar-storage file formats in Hadoop , and is compatible with most of the data processing frameworks around Hadoop .
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Apache Parquet columnar file format 45 4D 58 32: EMX2: 0 ez2 Emulator Emaxsynth samples 45 4D 55 33: EMU3: 0 ez3 iso Emulator III synth samples 1B 4C 75 61 ␛Lua: 0 luac Lua bytecode [72] 62 6F 6F 6B 00 00 00 00 6D 61 72 6B 00 00 00 00: book␀␀␀␀mark␀␀␀␀ 0 alias macOS file Alias [73] (Symbolic link) 5B 5A 6F 6E 65 54 72 61 6E 73 ...
Impala is integrated with Hadoop to use the same file and data formats, metadata, security and resource management frameworks used by MapReduce, Apache Hive, Apache Pig and other Hadoop software. Impala is promoted for analysts and data scientists to perform analytics on data stored in Hadoop via SQL or business intelligence tools. The result ...
Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.
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Apache CarbonData is a free and open-source column-oriented data storage format of the Apache Hadoop ecosystem. It is similar to the other columnar-storage file formats available in Hadoop namely RCFile and ORC.
Apache Parquet and Apache ORC are popular examples of on-disk columnar data formats. Arrow is designed as a complement to these formats for processing data in-memory. [11] The hardware resource engineering trade-offs for in-memory processing vary from those associated with on-disk storage. [12]