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The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel.
But beginning with PowerPoint 2007 and PowerPoint 2008 for Mac (PowerPoint version 12.0), this was the only binary format available for saving; PowerPoint 2007 (version 12.0) no longer supported saving to binary file formats used earlier than PowerPoint 97 (version 8.0), ten years before.
A file header, followed by; one or more file data blocks. A file header consists of: Four bytes, ASCII 'O', 'b', 'j', followed by the Avro version number which is 1 (0x01) (Binary values 0x4F 0x62 0x6A 0x01). File metadata, including the schema definition. The 16-byte, randomly-generated sync marker for this file.
Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [3] [4] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.
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HBase is an open-source non-relational distributed database modeled after Google's Bigtable and written in Java.It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed File System) or Alluxio, providing Bigtable-like capabilities for Hadoop.
A Linux-based system is a modular Unix-like operating system, deriving much of its basic design from principles established in Unix during the 1970s and 1980s. Such a system uses a monolithic kernel , the Linux kernel, which handles process control, networking, access to the peripherals , and file systems .
Hue is an open-source SQL Assistant for querying Databases & Data Warehouses and collaborating. Its goal is to make self service data querying more widespread in organizations.