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10 Apache Software Foundation Projects: Big Data and Distributed Systems.
As we continue to generate vast amounts of data, the need for efficient and scalable big data processing systems becomes increasingly crucial. This is where the Apache Software Foundation’s open-source software projects come into play. Apache foundation provides a wide range of tools for big data and distributed systems. These projects have become the go-to choices for various industries such as finance, healthcare, and e-commerce. In this article, we’ll dive into few of these projects and explore their unique features.
Apache Hadoop is one of the most popular big data frameworks. It is designed to process and store large data sets across a distributed cluster of commodity hardware. Hadoop provides a distributed file system called Hadoop Distributed File System (HDFS) and a processing framework called MapReduce. The Hadoop ecosystem also includes various other components such as Apache Hive, Pig, Spark, and HBase.
2. Apache Solr
Apache Solr is an enterprise search platform that provides full-text search, hit highlighting, faceted search, and real-time indexing. Solr is built on top of Apache Lucene, which is a high-performance text search engine library. Solr can be used as a standalone search server or as a distributed search engine that can be integrated into other applications.
