E6893 Big Data Analytics Lecture 2: Big Data Analytics Platforms Ching-Yung Lin, Ph.D. Adjunct Professor, Depts. of Electrical Engineering and Computer Science September 15th, 2023 1 E6893 Big Data Analytics – Lecture 2: Big Data Platform © 2023 CY Lin, Columbia University Remind -- Apache Hadoop The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. The project includes these modules: Hadoop Common: The common utilities that support the other Hadoop modules. Hadoop Distributed File System (HDFS™): A distributed file system that provides highthroughput access to application data. Hadoop YARN: A framework for job scheduling and cluster resource management. Hadoop MapReduce: A YARN-based system for parallel processing of large data sets. http://hadoop.apache.org 2 E6893 Big Data Analytics – Lecture 2: Big Data Platform © 2023 CY Lin, Columbia University Remind -- Hadoop-related Apache Projects 3 Ambari™: A web-based tool for provisioning, managing, and monitoring Hadoop clusters.It also provides a dashboard for viewing cluster health and ability to view MapReduce, Pig and Hive applications visually. Avro™: A data serialization system. Cassandra™: A scalable multi-master database with no single points of failure. Chukwa™: A data collection system for managing large distributed systems. HBase™: A scalable, distributed database that sup