Course Overview 1m 48s
Course Overview 1m 48s
Introduction: Big Data Concepts 15m 48s
Overview, Big Data's Definition, Data Lakes 4m 52s
NoSQL, Internet of Things, Machine Learning/AI 4m 46s
MapReduce and MPP, Streaming, SQL and Summary 6m 9s
AWS Big Data Services 18m 7s
Overview, Major Services, S3 2m 40s
Athena, EMR 3m 5s
Redshift, Glue 3m 55s
Lake Formation, Data Pipeline, NoSQL Services, RDS and Aurora 4m 12s
Mapping the Services, Demo Lead-in 1m 26s
Demo: EMR Provisioning 2m 47s
Batch Analytics with Elastic MapReduce (EMR) 15m 8s
Overview, MapReduce Diagrammed, Open Source Analytics, EMR Optional Components 5m 5s
Hue, SQL Options, Columnar Files, EMR Connections, Data Lake Stack, Demo Lead-in 4m 42s
Demo: Hue and Its Multiple Editors 5m 20s
AI and Streaming Data Processing with EMR 10m 42s
Overview, Streaming Data Options 3m 4s
AI: Machine Learning and Deep Learning, AI on EMR, Demo Lead-in 3m 38s
Demo: Machine Learning and Jupyter Notebooks 3m 58s
Data Warehousing with Amazon Redshift 10m 29s
Overview, Data Warehouse Concepts, MPP Diagrammed 5m 16s
Redshift Facts, Redshift, and Data Lakes 5m 12s
(Big) Data Integration and Pipelines 10m 10s
Overview, Glue, Data Pipeline 4m 8s
Spark and Pig, Sources and Destinations, Demo Lead-in 2m 8s
Demo: Data Pipeline 3m 52s
Visualizing Your Big Data with QuickSight 7m 33s
Overview, QuickSight Facts, Capabilities, Sharing, Demo Lead-in 4m 38s
Demo: QuickSight 2m 54s
Strategy 2m 54s
Overview, Major Services Recap, Capabilities Matrix 2m 54s
