Course 33 Big Data Analytics Techniques

Big Data Analytics, powered by technologies like Apache Spark and Hadoop, has transformed the ability to efficiently process and analyze large-scale datasets. Spark, with its in-memory processing and high-speed capabilities, and Hadoop, with its distributed storage and parallel processing framework, enable organizations to handle vast amounts of data that traditional systems could not manage. These technologies provide robust data storage, processing, and analysis tools, enabling scalable solutions for real-time analytics, machine learning, and complex data transformations. This chapter explores how Spark and Hadoop are utilized in big data analytics. We highlight their techniques, advantages, and applications in finance, healthcare, and e-commerce industries, where speed and scale are paramount.