Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. This presentation will 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. Steffen Krause, Technical Evangelist, AWS Padraic Mulligan, Architect and Lead Developer and Mike McCarthy, CTO, Skillspage

1. Steffen Krause, Technical Evangelist
Introducing Amazon Redshift

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. We’re off to a good start

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

6. 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

7. 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

8. 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

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

10. 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

11. 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

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

13. Provision a data warehouse in minutes

14. Monitor query performance

15. Point and click resize

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

17. 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

18. 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

19. 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

20. 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…

21. 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…

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

24. Customer Use Case
Mike McCarthy
CTO, SkillPages
Mike.McCarthy@skillpages.com

25. One Place to Find Skilled People

26. Everyone Needs
Skilled People
At Home
At Work
In Life
Repeatedly

28. 2 million
15 million
REGISTERED
MEMBERS
2011 2012 2013

29. 77 Instances 3 Availability Zones
2.5+ Billion Relationships Tech Team of 21 10M+ Growth Increments
Reserved/Demand & Spot
Add capacity as required
Auto scale
US East (Northern VA)
Planned for Multi Region
Our social graph models
over 2.5 Billion social
relationships
Ready for additional 10 million
users at any point in time
1 Data Analyst
Total company size 37
150M+ Emails
>150,000,000 emails sent
per month

30. 21,000,000+
SKILLS ADDED BY MEMBERS

31. 1,500,000+
NEW MEMBERS/MONTH

32. 1,200,000,000+
SOCIAL CONNECTIONS IMPORTED

33. 2 SECONDS
A NEW MEMBER EVERY

34. We Measure Everything!

35. Why Measure?
• Business Insights
• KPIs
• Campaign Management
• Behavioural Analysis
• Algorithm Improvements
• Performance Management
Best user experience

36. History with Redshift
• Amazon Customer since 2010
• Proprietary SQL Data Warehouse 2011
• Rapid Growth 2012
• Redshift Trials 2012
• Redshift Production DW 2013

37. 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

38. EMR
• Heavy Lifting
• Log Parsing & Data Extraction
• Cookies
• Clickstream
• Directory Generation
• Network Processing
• Process 40GB+ Telemetry data daily
• Reserved & Spot Instances

39. Redshift Implementation
• High Storage Extra Large (XL) DW Node
• Growing from 2 xDW.HS1.XLARGE nodes
• Reservations
• ETL Activities
• Approx. 90 minutes including exports from RDBMS, copying to S3,
loading stage tables, loading target tables, vacuuming and analysing
tables
• Schema
• Compression
• Starting to use columnar compression
• Retention

40. DW Anatomy
Dimension Purpose
Users Analyse the composition of the user base
Events Analyse significant actions that reflect user activity & behaviour
Clickstream
Analyse user browsing and landing events at a page level
Email Click through and Cohort Analysis
Notifications
Analyse user to user messaging – what users are mailing what
users and when.
Sessions Traffic & Visit Analysis
Skills Analyse Skills by Classification and User Context
Opportunities
Analyse Opportunities by Classification, User Context and
response rate.
Search
Analyse and quantify the characteristics of each search made on
the platform.

41. Performance

42. Accessing Data
• Consumers
• Tableau
• Excel/PowerPivot
• Technical Team
• Sqlworkbench
Driver: JDBC for postgressql 8.xx

43. Data Visualisation

44. Redshift - Nice to haves
• Possibility to load lzo files from S3
• Additional analytical functions e.g. MEDIAN
• Hierarchies
• ETL tool working with S3, many database vendors

45. Why Redshift works for SkillPages
• Scale - MPP
• Performance
• Columnar
• Platform Integration
• S3, Dynamo
• Operational Advantages
• Ease of Access
• Cost

46. Thank you!
Customer Use Case
Mike McCarthy
CTO, SkillPages
Mike.McCarthy@skillpages.com

47. Resources & Questions
• Steffen Krause | skrause@amazon.de | @AWS_Aktuell
• http://aws.amazon.com/redshift
• https://aws.amazon.com/marketplace/redshift/
• https://www.jaspersoft.com/webinar-AWS-Agile-Reporting-and-Analytics-in-the-Cloud