Big Data Analysis with Hadoop Professional Certification

Big Data Analysis with Hadoop involves leveraging its distributed framework—Hadoop Distributed File System (HDFS) and MapReduce—for processing vast datasets across clusters. Data ingestion into Hadoop clusters is followed by parallel processing using MapReduce or Apache Spark, enabling scalable analytics. Tools like Hive and Spark SQL facilitate querying and deriving insights. Hadoop's architecture ensures fault tolerance and scalability by distributing data and computations across nodes. Applications span industries for predictive analytics, recommendation systems, and more, making Hadoop a cornerstone in handling large-scale data analysis efficiently.