Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. In this session we'll give an introduction to the service and its pricing before diving into how it delivers fast query performance on data sets ranging from hundreds of gigabytes to a petabyte or more.

1. Steffen Krause
Amazon Redshift
Technology Evangelist
@AWS_Aktuell
skrause@amazon.de

2. Data warehousing done the AWS way
• No upfront costs, pay as you go
• Really fast performance at a really low price
• Open and flexible with support for popular tools
• Easy to provision and scale up massively

3. We set out to build…
A fast and powerful, petabyte-scale data warehouse that is:
Delivered as a managed service
A Lot Faster
A Lot Cheaper
A Lot Simpler
Amazon Redshift

4. Amazon Redshift dramatically reduces I/O
ID Age State
123 20 CA
345 25 WA
678 40 FL
Row storage Column storage
Scan
Direction

5. Amazon Redshift uses SQL
• Industry standard SQL
• ODBC and JDBC driver to access data (using Postgres 8.x drivers)
– Most PostgreSQL features supported
– See documentation for differences
• INSERT/UPDATE/DELETE are supported
– But loading data using COPY from S3 or DynamoDB is significantly faster
– Use VACUUM after significant number of deletes or update

6. Amazon Redshift loads data from S3 or DynamoDB
• Direct load from S3 or DynamoDB is supported
copy customer from 's3://mybucket/customer.txt’
credentials 'aws_access_key_id=<your-access-key-id>;
aws_secret_access_key=<your-secret-access-key>’
gzip delimiter '|’;
• Load Data in Parallel
– Split data into multiple files for parallel load
– Name files with a common prefix
• customer.txt.1, customer.txt.2, …
– Compress large datasets with gzip
• Load data in sort key order if possible

7. Amazon Redshift automatically compresses your data
• Compress saves space and reduces disk I/O
• COPY automatically analyzes and compresses
your data
– Samples data; selects best compression encoding
– Supports: byte dictionary, delta, mostly n, run
length, text
• Customers see 4-8x space savings with real data
– 20x and higher possible based on data set
• ANALYZE COMPRESSION to see details
analyze compression listing;
Table | Column | Encoding
---------+----------------+----------
listing | listid | delta
listing | sellerid | delta32k
listing | eventid | delta32k
listing | dateid | bytedict
listing | numtickets | bytedict
listing | priceperticket | delta32k
listing | totalprice | mostly32
listing | listtime | raw

8. Amazon Redshift architecture
• Leader Node
– SQL endpoint
– Stores metadata
– Coordinates query execution
• Compute Nodes
– Local, columnar storage
– Execute queries in parallel
– Load, backup, restore via Amazon S3
– Parallel load from Amazon DynamoDB
• Single node version available
10 GigE
(HPC)
Ingestion
Backup
Restore
JDBC/ODBC
jdbc:postgresql://mycluster.c7lp0qs37f41.us-east-1.redshift.amazonaws.com:8192/mydb

9. Amazon Redshift runs on optimized hardware
HS1.8XL: 128 GB RAM, 16 Cores, 24 Spindles, 16 TB compressed user storage, 2 GB/sec scan rate
HS1.XL: 16 GB RAM, 2 Cores, 3 Spindles, 2 TB compressed customer storage
• Optimized for I/O intensive workloads
• High disk density
• Runs in HPC - fast network
• HS1.8XL available on Amazon EC2

10. Amazon Redshift parallelizes and distributes everything
• Query
• Load
• Backup
• Restore
• Resize
10 GigE
(HPC)
Ingestion
Backup
Restore
JDBC/ODBC

11. Amazon Redshift lets you start small and grow big
Extra Large Node (HS1.XL)
3 spindles, 2 TB, 16 GB RAM, 2 cores
Single Node (2 TB)
Cluster 2-32 Nodes (4 TB – 64 TB)
Eight Extra Large Node (HS1.8XL)
24 spindles, 16 TB, 128 GB RAM, 16 cores, 10 GigE
Cluster 2-100 Nodes (32 TB – 1.6 PB)
Note: Nodes not to scale

12. Amazon Redshift is priced to let you analyze all your data
Price Per Hour for HS1.XL
Single Node
Effective Hourly Price Per
TB
Effective Annual Price
per TB
On-Demand $ 0.850 $ 0.425 $ 3,723
1 Year Reservation $ 0.500 $ 0.250 $ 2,190
3 Year Reservation $ 0.228 $ 0.114 $ 999
Simple Pricing
Number of Nodes x Cost per Hour
No charge for Leader Node
No upfront costs
Pay as you go

13. Amazon Redshift is easy to use
• Provision in minutes
• Monitor query performance
• Point and click resize
• Built in security
• Automatic backups

14. Provision a data warehouse in minutes

15. Provision a data warehouse in minutes

16. Provision a data warehouse in minutes

17. Provision a data warehouse in minutes

18. Monitor query performance

19. Monitor query performance

20. Point and click resize

21. Resize your cluster while remaining online
• New target provisioned in the background
• Only charged for source cluster

22. Resize your cluster while remaining online
• Fully automated
– Data automatically redistributed
• Read only mode during resize
• Parallel node-to-node data copy
• Automatic DNS-based endpoint cutover
• Only charged for one cluster

23. Amazon Redshift has security built-in
• SSL to secure data in transit
• Encryption to secure data at rest
– AES-256; hardware accelerated
– All blocks on disks and in Amazon S3
encrypted
• No direct access to compute nodes
• Amazon VPC support
10 GigE
(HPC)
Ingestion
Backup
Restore
Customer VPC
Internal
VPC
JDBC/ODBC

24. Amazon Redshift continuously backs up your data and
recovers from failures
• Replication within the cluster and backup to Amazon S3 to maintain multiple copies of
data at all times
• Backups to Amazon S3 are continuous, automatic, and incremental
– Designed for eleven nines of durability
• Continuous monitoring and automated recovery from failures of drives and nodes
• Able to restore snapshots to any Availability Zone within a region

25. Amazon Redshift integrates with multiple data sources
Amazon
DynamoDB
Amazon Elastic
MapReduce
Amazon Simple
Storage Service (S3)
Amazon Elastic
Compute Cloud (EC2)
AWS Storage
Gateway Service
Corporate
Data Center
Amazon Relational
Database Service
(RDS)
Amazon
Redshift
More coming soon…

26. Amazon Redshift provides multiple data loading options
• Upload to Amazon S3
• AWS Import/Export
• AWS Direct Connect
• Work with a partner
Data Integration Systems Integrators
More coming soon…

27. Amazon Redshift works with your existing analysis tools
JDBC/ODBC
Amazon Redshift
More coming soon…

29. SkillPages
Customer Use Case
Everyone Needs
Skilled People
At Home
At Work
In Life
Repeatedly

31. Data Architecture
Data Analyst
Raw Data
Get Data
Join via Facebook
Add a Skill Page
Invite Friends
Web Servers Amazon S3
User Action Trace Events
EMR
Hive Scripts Process Content
• Process log files with regular
expressions to parse out the
info we need.
• Processes cookies into useful
searchable data such as
Session, UserId, API Security
token.
• Filters surplus info like internal
varnish logging.
Amazon S3
Aggregated Data
Raw Events
Internal Web
Excel Tableau
Amazon Redshift

32. Resources & Questions
• Steffen Krause | skrause@amazon.de | @AWS_Aktuell
• http://aws.amazon.com/redshift
• Getting Started Guide: http://docs.aws.amazon.com/redshift/latest/gsg/welcome.html
• Setting Up SQL Workbench/J:
http://docs.aws.amazon.com/redshift/latest/mgmt/connecting-using-workbench.html
• SQL Reference:
http://docs.aws.amazon.com/redshift/latest/dg/cm_chap_SQLCommandRef.html
• Client Tools:
• https://aws.amazon.com/marketplace/redshift/
• https://www.jaspersoft.com/webinar-AWS-Agile-Reporting-and-Analytics-in-the-Cloud

33. Thank you!