Topic: Berlin Recruitment Day (Online) Time: Apr 14, 2021, 18.00 CEST Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud. With AWS, you can requisition compute power, storage, and other services – paying as you go for only the resources you need. Amazon Redshift is a rapidly growing, fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. It enables customers to dramatically increase their query performance when analyzing virtually any size data set using the same SQL-based business intelligence tools they use today. Amazon Redshift manages all the work needed to set up, operate, and scale a data warehouse, from provisioning capacity and installing software to monitoring and backing up the cluster, to applying patches and upgrades. By automating these labour-intensive tasks, Amazon Redshift enables customers to spend their time focusing on their data and business insights, rather than on procuring and managing infrastructure.

1. © 2020, Amazon Web Services, Inc. or its Affiliates.
© 2020, Amazon Web Services, Inc. or its Affiliates.
Hinnerk Gildhoff
Software Development Manager
hinnerk@amazon.com
Amazon Redshift
14.04.2021

2. © 2020, Amazon Web Services, Inc. or its Affiliates.
© 2020, Amazon Web Services, Inc. or its Affiliates.
Challenges of data analytics at scale
Data volume,
variety, velocity
Performance,
concurrency
Multiple
analytics needs
Difficult to
manage systems
Security,
compliance
Increasing
cost, inflexible

3. © 2020, Amazon Web Services, Inc. or its Affiliates.
© 2020, Amazon Web Services, Inc. or its Affiliates.
Database Migration Service | Snowball | Snowmobile | Kinesis Data Firehose | Kinesis Data Streams | Managed Streaming for Kafka
Data movement
Data, visualization, engagement, & machine learning
QuickSight SageMaker Comprehend Lex Polly Rekognition Translate
Pinpoint
Data
Exchange
Analytics
Redshift
EMR
(Spark & Presto)
Athena
Elasticsearch
Service
Kinesis Data
Analytics
AWS Glue
(Spark & Python)
Data lake infrastructure & management
S3/Glacier AWS Glue
Lake
Formation
AWS Data and Analytics Solutions

4. © 2020, Amazon Web Services, Inc. or its Affiliates.
© 2020, Amazon Web Services, Inc. or its Affiliates.
Data warehouse
(business data)
Data lake
(event data)
Redshift
Transaction System
PostgreSQL
Customers moving to data lake architectures
Redshift enables you to have a lake house approach

5. © 2020, Amazon Web Services, Inc. or its Affiliates.
© 2020, Amazon Web Services, Inc. or its Affiliates.
Amazon Redshift benefits
10’s of thousands of customers use Amazon Redshift & process Exabytes of data per day
Best performance
3x faster than other
cloud data warehouses
Best value
75% less expensive
than all other cloud data
warehouses & predictable costs
Data lake & AWS integrated
Lake Formation catalog & security,
Exabyte scale query (Spectrum &
Federated), AWS integrated
(DMS, CloudWatch)
Most secure & compliant
AWS-grade security, (e.g., network
isolation, encryption with KMS, Cloud
Trail), certifications such as SOC, PCI,
DSS, ISO, FedRAMP, HIPAA
Easy to manage
Easy to provision & manage,
automated backups, AWS
support, 99.9% SLAs
Most scalable
Virtually unlimited
concurrency, scale compute
& storage independently

6. © 2020, Amazon Web Services, Inc. or its Affiliates.
© 2020, Amazon Web Services, Inc. or its Affiliates.
Amazon Redshift investment areas
What are customers looking for in a data warehouse service?
Fully managed, secure, & cost-effective
Difficult to
manage systems
Security,
compliance
Increasing
cost, inflexible
Data lake & AWS integration,
Built-in analytics
Multiple
analytics needs
Performance & scalability
Data volume,
variety, velocity
Performance,
concurrency

7. © 2020, Amazon Web Services, Inc. or its Affiliates.
© 2020, Amazon Web Services, Inc. or its Affiliates.
Amazon Redshift: Key Innovations
Fully managed,
secure, &
cost-effective
Performance
& scalability
Data lake &
AWS integration,
built-in analytics
RA3 nodes
with Redshift
managed storage
AZ64
compression
encoding
Materialized
views
Concurrency
scaling
Pause
and resume
New
management
console
Auto WLM:
query priorities
Elastic resize
and scheduler
Stored
procedures
Column level
access control
Single sign-on
with Azure AD
Auto-vacuum,
Auto-analyze &
Auto table sort
Distribution
and sort key advisor
Data lake
export in
Parquet, bloom
filters, cost
controls
Spectrum
request
accelerator
Amazon Lake
Formation
integration
Spatial
data support
Federated query
across Redshift &
RDS/Aurora
Data API

8. © 2020, Amazon Web Services, Inc. or its Affiliates.
© 2020, Amazon Web Services, Inc. or its Affiliates.
Topics
• Redshift Spectrum – Highly distributed query execution on data directly in S3
• Spatial Engine – Proving spatial algorithms for location intelligence
• SQL Compiler – Query rewriter and optimizer
• Workbench Analyst – New analztics application for data querying and visualization
• Database Engineering – Support our customers in transitioning PBs of data to Redshift and make them successful
• AQUA - High performance processing by using a highly distributed platform built of the latest generation hardware
• Control Plane – Optimize our fully-managed, petabyte-scale data warehouses in the cloud
• Ease of Use - Auto-tune customer clusters with recommendations
Redshift Spectrum: SDE | SDM | PE
Redshift Engine: SDE | SDM
Redshift Cloud: SDE | SDM | SrSDM
Redshift Data Analyst: SDE
Product Management: PPM
AQUA: SDE | SDM | Landingpage
DB Engineer: SDE
Roles

9. © 2020, Amazon Web Services, Inc. or its Affiliates.
© 2020, Amazon Web Services, Inc. or its Affiliates.
IF you
• … like systems and distributed systems
• … think that big data is purely in the eye of the beholder
• … want to shape the next generation of data warehousing in the cloud
• … want to dive deep into the performance of Redshift and make it better
• … like to make our customer successful by working with them on POCs and implementations
• … want to contribute to algorithms and implementations that make Redshift faster and smarter
CONTACT: hinnerk@amazon.com