Cloud Compute, Database, Security, Containers, Migration, data science, Database, Kinesis, Glue, Hadoop, Spark Created by : Kaushik Vadali
Last updated : 11/2018
Language : English
Torrent Contains : 115 Files, 5 Folders
Course Source : https://www.udemy.com/5-courses-master-aws-analytics-machine-learning-bigdata/
What you'll learn • Underastand Amazon Web Services, Migrate to Amazon Cloud, Machine learning and Data science
Requirements • Just basic computer knowledge to unleash the power of Cloud to rollout Awesome Amazon Web Services
Description 5 courses pack including below topics.
Course + Lecture + Duration:
1 - AWS - Cloud Services 27 05:38:02 • Elastic Beanstalk, ELB, ECS, EKS, Dynamo DB, Migration Hub
2 - AWS - Data Analytics 10 02:38:08 • AWS Analytics and Data Lakes, Amazon Athena - Interactive query service, Amazon CloudSearch - Managed search service, Amazon Elasticsearch Service, Amazon Kinesis - Data Streams, Amazon Redshift - Data warehousing
• Amazon QuickSight - Business Analytics Intelligence Service, Amazon Data Pipeline - Automate data movement, AWS Glue – Managed ETL Service
3 - BigData and Hadoop framework 14 01:20:13 • Big data introduction, history, technologies, characteristics and Applications
• Data Lake, Data science and Data scientist
• Hadoop introduction, HDFS-Overview, Hadoop Architecture, assumptions and goals
• Demo-Hadoop install - sw download verify integrity, Java ssh configure, Hadoop access by browser
4 - Machine Learning 00:32:19 • Introduction, Algorithms, Softwares
5 - AWS Machine Learning 10 01:42:00 • Bigdata and AWS, 5.3 Hadoop on Amazon Elastic Map Reduce - EMR, Amazon EMR, Amazon EMR Architecutre, TensorFlow - Open source Machine Learning framework, Amazon SageMaker - TensorFlow Part 1 & 2, AWS Deep Learning AMIs
TOTAL < 64 Lectures > 11:50:13
Who is the target audience? • For all those who is interested in learning about cloud Infrastructure, want to reap the benefits of migrating to AWS
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