Big Data Tools & Libraries
- 1. ZooKeeper BIG DATA TOOLS BIG DATA TOOLS BIG DATA TOOLS & LIBRARIES & LIBRARIES & LIBRARIES APACHE Flume
- 2. Apache Hadoop is an open-source platform for storing and processing vast amounts of data ranging from gigabytes to petabytes. Apache Spark is a distributed processing solution for big data workloads that's also open-source.
- 3. Hive is an Apache Hadoop-based open-source framework used for storing and processing large datasets. It is a SQL- based database that allows users to read, write, and manage petabytes of data. HBase is a Hadoop Distributed File System (HDFS) based column-oriented non-relational database management system. It is a fault-tolerant storage system for sparse data sets, standard in many big data applications.
- 4. Pig is a high-level scripting language used in conjunction with Apache Hadoop. Pig processes data from various sources, both structured and unstructured, and stores the findings in Hadoop's Data File System. Apache Flume is an open-source framework for big data Hadoop. The primary aim of this framework is to provide a single platform for distributed querying and analysis for big data in a manner transparent to the end-user. APACHE Flume
- 5. Hadoop MapReduce is an Apache open-source software framework used for distributed processing of large data sets on decentralized networks. Based on Java, the Hadoop MapReduce framework is one of the most commonly used technologies for storing, managing, and analyzing big data. Pig is a high-level scripting language used in conjunction with Apache Hadoop. Pig processes data from various sources, both structured and unstructured, and stores the findings in Hadoop's Data File System.
- 6. ZooKeeper YARN is one of Apache Hadoop's main components, and it's in charge of assigning system resources to the many applications operating in a Hadoop cluster and scheduling tasks to run on different cluster nodes. Apache Zookeeper is an open-source server that provides centralized management for distributed applications and services.
- 7. Python's great data processing speed makes it ideal for use with Big Data. Because of its simple syntax and easy-to- manage code, Python scripts are run at a fraction of the time required by other programming languages. Hadoop User Experience (HUE) is an open-source interface that simplifies the use of Apache Hadoop.
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