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Big Data Technologies
Big Data refers to datasets that are too large and complex for traditional data processing applications to handle efficiently. It is characterized by the 5 Vs: Volume, Velocity, Variety, Veracity, and Value. Volume refers to the vast amount of data generated, Velocity refers to the speed at which data is generated and processed, Variety refers to the different types of data (structured, semi-structured, and unstructured), Veracity refers to the reliability and quality of the data, and Value refers to the insights and actionable information that can be extracted from the data. You can visit the detailed tutorial related to Data Science and Data-Driven Applications here.
Big Data Technologies
Big data technologies have revolutionized the way organizations handle and analyze massive volumes of data, enabling them to extract valuable insights and make data-driven decisions. From distributed streaming platforms to real-time stream processing frameworks, big data technologies offer a diverse range of tools and solutions for handling the challenges of big data. Some of the key technologies in the big data landscape include Apache Kafka, Apache Flink, Apache Cassandra, and Apache Storm. Each of these…
