Welcome to the Cloud Computing Applications course, Part 2, offered by the University of Illinois at Urbana-Champaign. This comprehensive course delves into the world of Cloud Computing and Big Data, focusing on the applications and implications of data analytics in the Cloud. From Spark and Hortonworks to HDFS, CAP, large-scale data storage, streaming systems, and graph processing, this course offers a deep understanding of the technologies shaping the future of data management and analysis.
Join this course to expand your knowledge of Cloud Computing, Big Data, and the applications shaping the future of data analytics and processing!
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The course modules cover a comprehensive range of topics including Spark, Hortonworks, HDFS, CAP, large-scale data storage, streaming systems, and graph processing, providing in-depth insights into the applications and implications of data analytics in the Cloud.
Welcome to Cloud Applications, Part 2! This module includes a course orientation, syllabus, discussion forums, updating your profile, social media, an orientation quiz, and activities to help you get to know your classmates.
Module 1 delves into Spark, Hortonworks, HDFS, and CAP, offering insights into Apache Spark, Hortonworks, Cloudera CDH, MapR Distro, HDFS, YARN, MESOS, and more.
Module 2 focuses on large-scale data storage, covering MapReduce with Spark, eventual consistency, ACID, BASE, Zookeeper, Paxos, Cassandra, Redis, HBase, Spark SQL, and Kafka.
Module 3 explores streaming systems, introducing Storm technology, Spark Streaming, Lambda and Kappa architectures, and the Streaming Ecosystem, providing a comprehensive understanding of real-time data streaming.
Module 4 delves into graph processing and machine learning, covering Pregel, Giraph, Spark GraphX, Mahout, Spark MLlib, and deep learning technologies, offering insights into the applications shaping the future of data processing and analytics.
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