Arenadata Hadoop
Arenadata Hadoop is a full-fledged enterprise distribution package based on Apache Hadoop and designed for storing and processing semi-structured and unstructured data.
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A cheatsheet that describes the most common HDFS commands with examples.
The article shows how to create and run your first DAG to process CSV files.
The section provides reference information on configuration parameters that can be used to configure ADH services via ADCM.
ADH release notes. Learn about new features, improvements, bug fixes, etc.
An overview of HDFS (Hadoop Distributed File System) — a highly fault-tolerant distributed file system designed for deployment on low-cost hardware.
Hive provides several ways to work with tables. You can use data manipulation language (DML) queries to import or add data to a table. Also, you can directly ingest data to a Hive table using HDFS commands.
An overview of ADH (Arenadata Hadoop) — a full-fledged enterprise distribution package based on Apache Hadoop and designed for storing and processing semi-structured and unstructured data.
Hive window and analytical functions are used to perform calculations over a set of related rows (windows or partitions) in a result set.
The tutorial guides you through the process of installing an Arenadata Hadoop (ADH) cluster using the online and offline installation types.
Recommendations and best practices on hardware, software, network, and file system requirements. A sample configuration for a test cluster.