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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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Its architecture is similar to GFS, i.e. a server/client architecture. The HDFS is normally installed on a cluster of computers. The design concept of Hadoop is informed by Google's, with Google File System, Google MapReduce and Bigtable , being implemented by Hadoop Distributed File System (HDFS), Hadoop MapReduce, and Hadoop Base (HBase ...
Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities for reliable, scalable, distributed computing.It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
Yes HDFS, [10] Amazon S3 [11] or Amazon Elastic Block Store. [12] Yes [13] Yes [14] See HDFS, S3 or EBS. Java Bigtable: Apache 2.0: Information Management System IBM IMS aka DB1 Key-value. Multi-level Yes Yes Yes, with HALDB Yes, with IMS TM Unknown Assembler: IBM since 1966 Proprietary: Infinispan: Key-value Yes Yes Yes Yes Yes Java Red Hat ...
ORC: columnar file format for big data workloads; Ozone: scalable, redundant, and distributed object store for Hadoop; Parquet: a general-purpose columnar storage format; PDFBox: Java based PDF library (reading, text extraction, manipulation, viewer) Mod_perl: module that integrates the Perl interpreter into Apache server
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.