Webinar Slides

© 2020, Amazon Web Services, Inc. or its Affiliates. Data engineers Business users AWS Glue ETL Data lake Amazon S3 Raw bucket Transformed data bucket Data engineers Data ingestion Data lake reference architecture AWS Glue Amazon Kinesis AWS DataSync etc.. Amazon Pinpoint Amazon Personalize

• Slide Number 1
• Agenda
• Recap from Episode 1: Know Your Customers
• Responsibilities of a modern customer experience pipeline
• Ingesting data into AWS
• Challenges to making a secure data lake
• Robust data lake infrastructure with AWS
• Data ingestion options
• AWS Glue automates the undifferentiated heavy lifting of ETL
• Slide Number 10
• AWS Glue Crawlers and the AWS Glue Data Catalog
• Streaming with Amazon KinesisEasily collect, process, and analyze video and data streams in real time
• Amazon Kinesis Data Streams overview
• Amazon Kinesis Data Firehose overview
• AWS DataSync
• Data lake reference architecture
• Engage your audience
• User Engagement Challenges
• Users' expectations are continually evolving
• Stages of AWS User Engagement
• Customer touch points
• Slide Number 22
• Slide Number 23
• Slide Number 24
• Slide Number 25
• Overview: Amazon Personalize
• Successfully engage your customers using Amazon Pinpoint
• Solution Architecture: Predictive User Engagement
• Getting started with Amazon Personalize
• Setting up Amazon PersonalizeEasy three step process
• Add your datasets
• Create your solution (train your model)
• Create your solution (train your model) (1)
• Create your campaign (host your model)
• Getting started with Amazon Pinpoint
• Create your first segment
• Building a campaign
• Step 1 – Select Segment
• Select segment
• Step 2 – Select Channel
• Step 3 – Select Content
• Slide Number 42
• Slide Number 43
• Slide Number 44
• Step 4 - Schedule
• Slide Number 46
• Automate multi-step campaigns with journeys
• Journeys UI
• Summary
• Resource
• LEARN MORE
• Thank you!