2022 Cloud Computing and Big Data Lecture 3 Apache Spark for Cloud Applications Part1 ?

Cloud Computing Big Data Course Parallel Scalable Machine Learning Deep Learning 16 university lectures with additional practical lectures for hands-on exercises in context The University of Iceland School of Engineering and Natural Sciences Faculty of Industrial Engineering Mechanical Engineering and Computer Science Fall 2022 Course Outline 1.
Cloud Computing Big Data Introduction 2.
Machine Learning Models in Clouds 3.
Apache Spark for Cloud Applications 4.
Virtualization Data Center Design 5.
Map-Reduce Computing Paradigm 6.
Deep Learning driven by Big Data 7.
Deep Learning Applications in Clouds 8.
Infrastructure-As-A-Service IAAS 9.
Platform-As-A-Service PAAS 10.
Software-As-A-Service SAAS 11.
Big Data Analytics Cloud Data Mining 12.
Docker Container Management 13.
OpenStack Cloud Operating System 14.
Online Social Networking Graph Databases 15.
Big Data Streaming Tools Applications 16.
Epilogue Lecture Outline Part One: Basic Apache Spark Capabilities Design Goals Scalable Programming Model for Big Data Resilient Distributed Datasets RDDs Concept Example Understanding Apache Spark RDD Transformations Actions Analysing Apache Spark vs.
Apache Hadoop Parallel Performance In-Memory Execution with Applications AWS Costs Reviews Part Two: Apache Spark Libraries for Advanced Applications Structured Query Language SQL via PySpark in Jupyter Notebooks Machine Learning Library MLlib Selected Algorithm Examples Streaming Library GraphX Library with PageRank Application Machine Learning Applications in Clouds PySpark in Google Colab Examples of Apache Spark in Business Applications Ecosystem Examples

Источник: rutube.ru