[Keynote] Accelerating Business Outcomes with AWS Data - 발표자: Saeed Gharadaghi, Head of APJ Data SA, WWSO, AWS ::: AWS Data Roadshow 2023

AWS DATA ROADSHOW 2023
© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Saeed Gharadaghi
Head of Data Solutions Architecture, APJ
Accelerating Business
Outcomes with AWS Data

Statistic provided by Worldwide IDC Global DataSphere Forecast, 2022–2026
of today’s data has
been created in the last
2 years alone
Data growth
is remarkable

Data fuels innovation
in the digital age and
organizations that are
going to succeed will
be the ones using Data
Statistic provided by Forrester
20%
Insights-driven businesses are
8.5 times more likely
to report at least 20% growth

Driving value from data is hard
94% 24% 80%
Data
Investment
Data
Driven
Culture,
Organization
& People

First big data processing in
the cloud with EMR
The first
fully-managed
warehouse in the
cloud with
Amazon Redshift
The first purpose-built
database
in the cloud
with Amazon DynamoDB
First scalable object
storage in the cloud
with Amazon S3
First machine learning IDE
in the cloud with
Amazon SageMaker
17+
years of
innovation
More than
1.5
million
AWS customers
use database,
analytics, or
machine
learning AWS
services

AWS is making it easier to unlock the value of data across
the end-to-end data journey
GOVERNED
End-to-end
governance
SCALABLE
Performance
at scale
COMPREHENSIVE
Tools for all
your workloads
UNIFIED
Connect to
all your data

A PPS
DE VI C E S
PE O PLE
A PP/ LO GS
T H I R D -PA R TY
DA T A
I O T / DE VI C ES
Data sources
Comprehensive set of services
Catalog and govern | AWS Lake Formation, Amazon DataZone
Amazon
Redshift
Amazon
EMR
BUS I NE S S
I NT E LLI G E NCE
Amazon
QuickSight
MA C H I NE
LE A R NI NG
Amazon
SageMaker
A NA LYT I C S
Act
FO R
A PPLI C A TI ONS
Amazon
Aurora
Amazon Kinesis
and Amazon MSK
FO R A NA LYT I C S A ND
MA C H I NE LE A R NI NG
Data Lake
Amazon S3
Amazon Redshift
Data Warehouse
Amazon
DynamoDB
Store and query
AWS Glue
Integrate
© 2023, Amazon Web Services, Inc. or its affiliates.

© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2022, Amazon Web Services, Inc. or its affiliates.
Latest Trends and Innovation
8

Connect to all internal and external data
AWS Glue for
value-add data
transformations and
more
Zero ETL
future enabled
by service
integrations
AWS Data Exchange
300+ data providers
and 3,500+ data
products
AppFlow
connect your data
lakes and data
warehouse to 50+
SaaS applications

AWS
Analytics
AWS Glue
Data integration, ETL, and Catalog
Amazon Redshift
Data warehousing
Amazon EMR
Big data processing
Amazon Athena
Interactive Analytics
Amazon Kinesis
Real-time analytics
Amazon MSK
Real-time analytics
Amazon QuickSight
Visualization
AWS Lake Formation
Data lake setup management and governance
AWS has the most serverless options for data analytics

Customer Data Platform Evolution
11

Customers are evolving their data platforms
TIME
BUSINESS
VALUE
Data monetization &
Data modernization
based on data mesh
architectures
Near real-time analytic
and predictive analytics
using ML
ETL across multiple
sources including data
lake and operational
databases
Dashboarding
and reporting

Common use cases for analytics workloads
13
1. Building data mesh architectures using data sharing
2. Lake house architecture using Spectrum
3. Self-service analytics
4. Rich analytics with data science and machine learning
5. Zero-ETL integration

Delivering outcomes with
Amazon Analytics
14

“Using AWS capabilities,
we’re truly bringing data
to the heart of decision-
making at Merck. And it’s
just the beginning of what
is possible.”
Ram Silai
Director of Digital Manufacturing Organization, Merck
MERCK is pursuing Data innovation using AWS
services and is effectively overcoming the
challenges of implementing and sustaining a
huge, complex data platform.
With data from over 120 source systems and
thousands of users, Merck needed a more
scalable and reliable system that provided
maximum efficiency and reduced operating
costs.
• x3 performance improvement
• 50% reduction in operating costs
• 400TB data stored

“We were able to easily
support the jump from 30
billion records to 70
billion records a day
because of the flexibility
and scalability of Amazon
S3 and Amazon Redshift.”
Robert Hunt
Vice President of Software Engineering, Nasdaq
Nasdaq reinvented how it delivers
analytics using Amazon Redshift
Spectrum.
Using its new lake house architecture
based on Amazon S3 and Amazon
Redshift, Nasdaq is reaching its 90
percent mark for data load completion
5 hours sooner than before. In addition,
by optimizing its data warehouse, the
company was able to run Amazon
Redshift queries 32 percent faster.

Healthcare
Media &
Entertainment
Consumer
Services
Financial &
Professional services
Web and
technology
Korea

Thank you!

[Keynote] Accelerating Business Outcomes with AWS Data - 발표자: Saeed Gharadaghi, Head of APJ Data SA, WWSO, AWS ::: AWS Data Roadshow 2023

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[Keynote] Accelerating Business Outcomes with AWS Data - 발표자: Saeed Gharadaghi, Head of APJ Data SA, WWSO, AWS ::: AWS Data Roadshow 2023