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The base Apache Hadoop framework is composed of the following modules: Hadoop Common – contains libraries and utilities needed by other Hadoop modules; Hadoop Distributed File System (HDFS) – a distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster;
Apache Mahout is a project of the Apache Software Foundation to produce free implementations of distributed or otherwise scalable machine learning algorithms focused primarily on linear algebra. In the past, many of the implementations use the Apache Hadoop platform, however today it is primarily focused on Apache Spark .
Avro is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.
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 .
Apache HBase began as a project by the company Powerset out of a need to process massive amounts of data for the purposes of natural-language search. Since 2010 it is a top-level Apache project. Facebook elected to implement its new messaging platform using HBase in November 2010, but migrated away from HBase in 2018. [4]
Java library for Bluetooth (JSR-82 implementation) Bouncy Castle Cryptographic: Collection of APIs used in cryptography. It includes APIs for both the Java and the C# programming languages. Burningwave Core: Java library to build frameworks. Cascading: Abstraction layer for Apache Hadoop and Apache Flink.
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.
Apache Pig [1] is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin . [ 1 ] Pig can execute its Hadoop jobs in MapReduce , Apache Tez, or Apache Spark . [ 2 ]