From the course: Hands-On Development in AWS
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Learning objectives - Amazon Web Services (AWS) Tutorial
From the course: Hands-On Development in AWS
Learning objectives
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- Welcome to lesson 16, Kinesis. Amazon Kinesis is a real-time data processing and analysis service. With it, you can ingest real-time data, such as audio and video, and process or analyze it instantly to gain insights. We're going to investigate the sub-services on Kinesis, including Data Streams, Firehose, and Analytics.
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Contents
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Module 2: AWS foundational services introduction24s
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Learning objectives32s
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Understanding IAM11m 55s
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Understanding permissions11m 37s
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Exploring users and groups8m 58s
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Exploring roles5m 13s
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Using IAM multi-factor authentication (MFA)4m 18s
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Creating a Cognito user pool15m 12s
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Module 3: Database and storage services introduction19s
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Learning objectives27s
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An RDS overview8m 47s
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Understanding database security in RDS2m 48s
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Configuring an RDS database9m 9s
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Scaling RDS4m 30s
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Exploring database on EC25m 12s
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Using RDS best practices2m 16s
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Learning objectives23s
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Understanding S310m 42s
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Creating buckets12m 17s
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Securing S37m 33s
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Using global data replication6m 11s
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Understanding Glacier5m 34s
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Exploring events8m 48s
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Using third-party browser tools2m 34s
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Using S3 best practices2m 47s
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Using CloudFront with S316m 18s
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Module 4: Messaging services introduction29s
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Learning objectives31s
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Understanding SQS10m 25s
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Creating an SQS queue3m 39s
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Securing SQS5m 53s
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Interacting with an SQS queue12m 32s
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Using message encryption4m 42s
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Using SQS best practices2m 36s
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Module 5: Execution services introduction24s
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Learning objectives27s
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Highlighting Lambda6m 6s
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Understanding Lambda scalability and availability3m 24s
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Exploring Lambda security3m 43s
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Using Lambda functions10m 42s
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Deploying a Lambda function8m 32s
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Using Lambda best practices5m 8s
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