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By using the tools and processes that big data scientists and engineers use on a daily basis, you will be intelligent enough to understand the insights that big data may offer. With a general understanding of how large data is arranged, examined, and evaluated, you can make better business judgments. This unique industry program will help to learn the entire stack of Big Data and be ready to crack jobs in leading organizations. This Big Data course is designed to provide students with a comprehensive understanding of big data technologies and how to process and analyze large datasets. Throughout the course, students will learn the skills necessary to work with big data, including distributed computing, data storage, and processing frameworks. Students will be introduced to big data fundamentals, including Hadoop, Spark, and MapReduce. They will learn about the architecture and components of Hadoop, including HDFS, YARN, and MapReduce, and how to use Hadoop to process and analyze large datasets. Students will also learn about distributed computing and how to use Spark to process large datasets. They will learn about Spark’s architecture, components, and APIs, and how to use Spark for data processing, machine learning, and real-time analytics.By the end of this course, students will have a strong foundation in big data technologies and be equipped with the skills and knowledge needed to work with large datasets in various industries. They will also have a portfolio of projects to showcase their skills to potential employers.
