Apache Hadoop

Apache Hadoop is a popular open-source software framework that allows distributed storage and processing of large data sets across clusters of commodity hardware. It is designed to handle big data and supports various data-intensive applications, such as data warehousing, data mining, and data analytics. Apache Hadoop has two main components: Hadoop Distributed File System (HDFS) and Hadoop MapReduce. HDFS is a distributed file system that allows for the storage and retrieval of large data sets, while Hadoop MapReduce is a programming model that allows for parallel processing of the data stored in HDFS. Apache Hadoop has become a popular choice for organizations that deal with large data sets as it provides cost-effective, scalable, and fault-tolerant storage and processing capabilities. Additionally, Hadoop has a vast ecosystem of tools and technologies that enable developers and data scientists to build and deploy complex big data solutions.

Our Apache Hadoop courses are designed to teach data engineers, developers, and IT professionals how to use the Apache Hadoop framework to store, process, and analyze large and complex data sets. These courses cover a range of topics, from basic concepts to advanced techniques, and provide hands-on experience using Hadoop's various components.The courses cover topics such as Hadoop Distributed File System (HDFS), Hadoop MapReduce, Hadoop Ecosystem, data storage, data processing, and data analysis. They also cover a range of related technologies, such as Apache Hive, Apache Spark, and Apache Pig.