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  1. www.geeksforgeeks.org › popular-big-data-technologiesPopular Big Data Technologies - GeeksforGeeks

    • Apache Cassandra: It is one of the No-SQL databases which is highly scalable and has high availability. In this, we can replicate data across multiple data centers.
    • Apache Hadoop: Hadoop is one of the most widely used big data technology that is used to handle large-scale data, large file systems by using Hadoop file system which is called HDFS, and parallel processing like feature using MapReduce framework of Hadoop.
    • Apache Hive: It is used for data summarization and ad hoc querying which means for querying and analyzing easy Big Data. It is built on top of Hadoop for providing data summarization, ad-hoc queries, and the analysis of large datasets using SQL-like language called HiveQL.
    • Apache Flume: It is a distributed and reliable system that is used to collect, aggregate, and move large amounts of log data from many data sources toward a centralized data store.

  2. cloud.google.com › learn › what-is-big-dataBig Data Defined: Examples and Benefits | Google Cloud

    Read on to learn the definition of big data, some of the advantages of big data solutions, common big data challenges, and how Google Cloud is helping organizations build their data clouds...

  3. www.educative.io › blog › what-is-big-dataWhat is Big Data? Characteristics, types, and technologies

    Dec 15, 2020 · Big Data is a modern analytics trend that allows companies to make more data-driven decisions than ever before. When analyzed, the insights provided by these large amounts of data lead to real commercial opportunities, be it in marketing, product development, or pricing.

  4. builtin.com › big-dataBig Data: What It Is, Why It Matters, How It Works | Built In

    • Apache Hadoop. A widely used open-source big data framework, Apache Hadoop’s software library allows for the distributed processing of large data sets across research and production operations.
    • Apache Spark. Apache Spark is an open-source analytics engine used for processing large-scale data sets on single-node machines or clusters. The software provides scalable and unified processing, able to execute data engineering, data science and machine learning operations in Java, Python, R, Scala or SQL.
    • Apache Storm. Able to process over a million tuples per second per node, Apache Storm’s open-source computation system specializes in processing distributed, unstructured data in real time.
    • MongoDB Atlas. With a flexible and scalable schema, the MongoDB Atlas suite provides a multi-cloud database able to store, query and analyze large amounts of distributed data.

  5. www.ibm.com › topics › big-data-analyticsWhat is Big Data Analytics? | IBM

    Big data analytics refers to the systematic processing and analysis of large amounts of data and complex data sets, known as big data, to extract valuable insights. Big data analytics allows for the uncovering of trends, patterns and correlations in large amounts of raw data to help analysts make data-informed decisions.

  6. www.coursera.org › articles › big-data-technologies4 Types of Big Data Technologies (+ Management Tools)

    Mar 19, 2024 · Big data technologies can be categorized into four main types: data storage, data mining, data analytics, and data visualization . Each of these is associated with certain tools, and you’ll want to choose the right tool for your business needs depending on the type of big data technology required.

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  8. www.datamation.com › big-data › big-data-technologiesTop 15 Big Data Technologies You Need to Know - Datamation

    Oct 24, 2023 · Big data technology is a broad term that encompasses all the tools used for data analytics, data processing, and data extraction. They can handle highly complex data structures and help discover useful patterns and business insights efficiently.