2021 Cloud Computing and Big Data Short Lecture 15 Big Data Streaming Tools and Applications 💻
2021 Cloud Computing and Big Data Short Lecture 15 Big Data Streaming Tools and Applications 💻
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 2021
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
This is only a Short Lecture:
The goal is to provide a couple of selected pointers to otheradvanced related university courses & relevant topics
‘Data streaming tools’ & ‘streaming applications’ needs a full course & substantial tutorials/courses are required for real-time applications
It offers useful links to previous Lectures & Practical Lectures &further material to study & perform research in these areas
Understanding Data Streaming Tools & Streaming Applications:
What are Data Streams & Interactive Access & Visual Analytics in Context
Apache Spark Streaming Library using MS Azure Cloud & AWS Kinesis Service
Apache Flume Data Streams Analysis with Interceptors & Social Media Example
Apache Storm vs. Apache Flink In-Memory Approaches Libraries & Apache Kafka
Online Learning Approach in Machine Learning & Scientific Data Streaming Example