Immersion Day Presentation

1. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

2. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

3. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Data is a strategic asset for every
organization
The world’s most
valuable resource is
no longer oil, but data.*
*Copyright: The Economist, 2017, David Parkins
“
”

4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Why data lakes?
Data Lakes provide:
Relational and non-relational data
Scale-out to EBs
Diverse set of analytics and machine learning tools
Work on data without any data movement
Designed for low cost storage and analytics
OLTP ERP CRM LOB
Data Warehouse
Business
Intelligence
Data Lake
100110000100101011100
101010111001010100001
011111011010
0011110010110010110
0100011000010
Devices Web Sensors Social
Catalog
Machine
Learning
DW
Queries
Big data
processing
Interactive Real-time

5. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Customers want more value from their data
Growing
exponentially
From new
sources
Increasingly
diverse
Used by
many people
Analyzed by
many applications

6. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Companies want more value from their data
Complications
Siloed approaches don’t work anymore
It’s too expensive and limiting
to store data on-premises
Implication
A new approach is needed to
extract insights and value

7. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Cloud data lakes are the future
Customers want:
A single data store that is scalable & cost effective
To store data securely in standard formats
To analyze their data in a variety of ways
Cloud Data Lake
Infrastructure
Decoupled Storage
& Compute Resources
Security & Governance
Data
Migration
Streaming
Services
Data
Warehouse
Big Data
Processing
Serverless Data
Processing
Real-time
Analytics
Operational
Analytics
Predictive
AnalyticsETL & Catalog
Data Management

8. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Why choose AWS for data lakes and analytics?
Most
comprehensive
Most
secure
Easiest
to build
Most
cost-effective
Widely
used

9. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Most comprehensive
Migration & Streaming Services
Infrastructure Data Catalog
& ETL
Security &
Management
Data
Warehousing
Big Data
Processing
Interactive
Query
Operational
Analytics
Real time
Analytics
Serverless
Data processing
Data Movement
Analytics
Data Lake Infrastructure & Management
Dashboards Predictive Analytics
Visualization, Engagement, & Machine Learning
Digital User Engagement

10. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Data Movement
Analytics
Most comprehensive
+ 11 more
Redshift
EMR (Spark
& Hadoop)
Athena
Elasticsearch
Service
Kinesis Data
Analytics
Glue (Spark
& Python)
S3/Glacier GlueLake
Formation
Visualization, Engagement, & Machine Learning
QuickSight SageMaker Comprehend Lex Polly Rekognition Translate Transcribe
Database Migration Service | Snowball | Snowmobile | Kinesis Data Firehose | Kinesis Data Streams | Managed Streaming for Kafka
Data Lake Infrastructure & Management
Pinpoint

11. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Most cost effective
Decouple compute and storage, choice of PAYG analytics services
Storage
S3 tiers &
intelligent tiering
From $0.023 per
GB/mo to as low as
$0.004 per GB/mo
Compute
Spot & reserved
instances
Save up to 90% off
on-demand prices
EMR
Autoscaling
57% less than
on-premises
per IDC report
Redshift
Less than 1/10th of
the cost of
traditional, on-
premises solutions
Athena &
QuickSight
Serverless pay
only for what is used
Pricing per session for
visualization

12. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Most secure
Compliance
AWS Artifact
Amazon Inspector
Amazon Cloud HSM
Amazon Cognito
AWS CloudTrail
Security
Amazon GuardDuty
AWS Shield
AWS WAF
Amazon Macie
VPC
Encryption
AWS Certification Manager
AWS Key Management
Service
Encryption at rest
Encryption in transit
Bring your own keys, HSM
support
Identity
AWS IAM
AWS SSO
Amazon Cloud Directory
AWS Directory Service
AWS Organizations
Customers need to have multiple levels of security, identity and access management,
encryption, and compliance to secure their data lake

13. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
https://aws.amazon.com/pt/solutions/case-studies/BTGPactualDigital/

14. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
https://aws.amazon.com/pt/solutions/case-studies/embraer/

15. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
More than 10,000 data lakes on AWS

16. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Most partners to complement AWS offerings

17. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Data Movement
Analytics
Most comprehensive
+ 11 more
Redshift
EMR (Spark
& Hadoop)
Athena
Elasticsearch
Service
Kinesis Data
Analytics
Glue (Spark
& Python)
S3/Glacier GlueLake
Formation
Visualization, Engagement, & Machine Learning
QuickSight SageMaker Comprehend Lex Polly Rekognition Translate Transcribe
Database Migration Service | Snowball | Snowmobile | Kinesis Data Firehose | Kinesis Data Streams | Managed Streaming for Kafka
Data Lake Infrastructure & Management
Pinpoint

18. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
aws.amazon.com/blogs/big-data/category/analytics/
aws.amazon.com/big-data/datalakes-and-analytics/what-is-
a-data-lake/
aws.amazon.com/blogs/big-data/tag/data-lake
aws.amazon.com/solutionspace/data-lake-foundation-with-
aws-services/

19. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Renato da Paz
Analytics Business Development Manager
renatpaz@amazon.com