Working Within the Data Lake

Working Within the Data Lake

With AWS Glue

Team or presenters name Date

? 2020, Amazon Web Services, Inc. or its Affiliates.

Table of contents

1. Optimizing for Cost and Performance 2. Cataloging Data Schemas with AWS Glue 3. Transforming Data with AWS Glue 4. AWS Glue ML Transform and Workflows

? 2020, Amazon Web Services, Inc. or its Affiliates.

Session's Focus ? Working In The Data Lake

Amazon Amazon Elasticsearch AWS

DynamoDB

Service

Glue

Catalog & Search

AWS Snowball

Amazon Kinesis Data

Firehose

AWS Direct Connect

AWS Database AWS Storage

Migration

Gateway

Service

AWS DataSync

AWS Transfer for SFTP

Amazon S3 Transfer Acceleration

Data Ingestion

? 2020, Amazon Web Services, Inc. or its Affiliates.

AWS AppSync

Amazon API Gateway

Amazon Cognito

Access & User Interfaces

Central Storage

Scalable, secure, costeffective

S3

Amazon Athena

Amazon EMR

AWS Glue

Amazon Redshift

Amazon DynamoDB

Manage & Secure

AWS KMS

AWS IAM

AWS

Amazon

CloudTrail CloudWatch

Amazon QuickSight

Amazon Kinesis

Amazon Elasticsearch

Service

Amazon Neptune

Analytics & Serving

Amazon RDS

Optimizing for Cost and Performance

? 2020, Amazon Web Services, Inc. or its Affiliates.

Optimizing for Cost and Performance

Partitioning

Compression

Pay for data your query needs, Pay for what you store, not to scan all of your data not for what you process

? 2020, Amazon Web Services, Inc. or its Affiliates.

Managed Services

Pay for what you use, not for what you run

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