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Key Technologies in Big Data Analytics

Big Data analytics relies on a wide range of technologies designed to process and analyze massive datasets efficiently.

Popular Big Data Analytics Technologies

  • Apache Hadoop – A distributed framework for processing and storing large-scale data using the Hadoop Distributed File System (HDFS).
  • Apache Spark – An in-memory data processing engine known for its speed and versatility in real-time analytics.
  • SQL & NoSQL Databases – Traditional relational databases like PostgreSQL and modern NoSQL databases like MongoDB and Cassandra for scalable storage.
  • Cloud-Based Analytics – Platforms like Google BigQuery, AWS Redshift, and Microsoft Azure Synapse provide scalable Big Data analytics solutions.

These technologies empower businesses to efficiently handle vast amounts of data and drive data-driven decision-making.