Getting Started with Amazon Redshift - AWS July 2016 Webinar Series
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Traditional data warehouses become expensive and slow down as the volume of your data grows. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it easy to analyze all of your data using existing business intelligence tools for as low as $1000/TB/year. This webinar will provide an introduction to Amazon Redshift and cover the essentials you need to deploy your data warehouse in the cloud so that you can achieve faster analytics and save costs.
Learning Objectives:
• Get an introduction to Amazon Redshift's massively parallel processing, columnar, scale-out architecture
• Learn how to configure your data warehouse cluster, optimize schema, and load data efficiently
• Get an overview of all the latest features including interleaved sorting and user-defined functions
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Getting Started with Amazon Redshift - AWS July 2016 Webinar Series
3. AnalyzeStore
Amazon
Glacier
Amazon S3
Amazon
DynamoDB
Amazon RDS,
Amazon Aurora
AWS big data portfolio
AWS Data Pipeline
Amazon
CloudSearch
Amazon EMR Amazon EC2
Amazon
Redshift
Amazon Machine
Learning
Amazon
Elasticsearch Service
AWS Database
Migration Service
Amazon
QuickSight
Amazon Kinesis
Firehose
AWS Import/Export
Snowball
AWS Direct Connect
Collect
Amazon Kinesis Streams
4. Amazon
Redshift
a lot faster
a lot simpler
a lot cheaper
Relational data warehouse
Massively parallel; petabyte scale
Fully managed
HDD and SSD platforms
$1,000/TB/year; starts at $0.25/hour
5. The Amazon Redshift view of data warehousing
10x cheaper
Easy to provision
Higher DBA productivity
10x faster
No programming
Easily leverage BI
tools, Hadoop, machine
learning, streaming
Analysis inline with
process flows
Pay as you go, grow
as you need
Managed availability
and disaster recovery
Enterprise Big data SaaS
6. The Forrester Wave™ is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave™ are trademarks of Forrester Research, Inc. The Forrester Wave™ is a graphical
representation of Forrester's call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any
vendor, product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change.
Forrester Wave™ enterprise data warehouse Q4 ’15
10. Benefit #1: Amazon Redshift is fast
Parallel and distributed
Query
Load
Export
Backup
Restore
Resize
11. Benefit #1: Amazon Redshift is fast
Hardware optimized for I/O intensive workloads,
4 GB/sec/node
Enhanced networking, over 1 million packets/sec/node
Choice of storage type, instance size
Regular cadence of autopatched improvements
12. Benefit #1: Amazon Redshift is fast
New dense storage (HDD) instance type (Jun 2015)
Improved memory 2x, compute 2x, disk throughput 1.5x
Cost: Same as our prior generation!
Performance improvement: 50%
Enhanced I/O and commit improvements (Jan 2016)
Performance improvement: 35%
Memory allocation improvements (May 2016)
Performance improvement: 60%
13. Benefit #2: Amazon Redshift is inexpensive
Ds2 (HDD)
Price per hour for
DW1.XL single node
Effective annual
price per TB compressed
On demand $ 0.850 $ 3,725
1-year reservation $ 0.500 $ 2,190
3-year reservation $ 0.228 $ 999
Dc1 (SSD)
Price per hour for
DW2.L single node
Effective annual
price per TB compressed
On demand $ 0.250 $ 13,690
1-year reservation $ 0.161 $ 8,795
3-year reservation $ 0.100 $ 5,500
Pricing is simple
Number of nodes x price/hour
No charge for leader node
No upfront costs
Pay as you go
14. Benefit #3: Amazon Redshift is fully managed
Continuous/incremental backups
Multiple copies within cluster
Continuous and incremental backups
to Amazon S3
Continuous and incremental backups
across regions
Streaming restore
Amazon S3
Amazon S3
Region 1
Region 2
15. Benefit #3: Amazon Redshift is fully managed
Amazon S3
Amazon S3
Region 1
Region 2
Fault tolerance
Disk failures
Node failures
Network failures
Availability Zone/region level disasters
16. Benefit #4: Security is built in
10 GigE
(HPC)
Ingestion
Backup
Restore
Customer VPC
Internal
VPC
JDBC/ODBC
Load encrypted from Amazon S3
SSL to secure data in transit
ECDHE perfect forward security
Amazon VPC for network isolation
Encryption to secure data at rest
All blocks on disks and in Amazon S3 encrypted
Block key, cluster key, master key (AES-256)
On-premises HSM and AWS CloudHSM support
Audit logging and AWS CloudTrail integration
SOC 1/2/3, PCI-DSS, FedRAMP, BAA
17. Benefit #5: We innovate quickly
Service Launch (2/14)
PDX (4/2)
Temp Credentials (4/11)
DUB (4/25)
SOC1/2/3 (5/8)
Unload Encrypted Files
NRT (6/5)
JDBC Fetch Size (6/27)
Unload logs (7/5)
SHA1 Builtin (7/15)
4 byte UTF-8 (7/18)
Sharing snapshots (7/18)
Statement Timeout (7/22)
Timezone, Epoch, Autoformat (7/25)
WLM Timeout/Wildcards (8/1)
CRC32 Builtin, CSV, Restore Progress
(8/9)
Resource Level IAM (8/9)
PCI (8/22)
UTF-8 Substitution (8/29)
JSON, Regex, Cursors (9/10)
Split_part, Audit tables (10/3)
SIN/SYD (10/8)
HSM Support (11/11)
Kinesis EMR/HDFS/SSH copy,
Distributed Tables, Audit
Logging/CloudTrail, Concurrency,
Resize Perf., Approximate Count
Distinct, SNS Alerts, Cross Region
Backup (11/13)
Distributed Tables, Single Node Cursor
Support, Maximum Connections to 500
(12/13)
EIP Support for VPC Clusters (12/28)
New query monitoring system tables
and diststyle all (1/13)
Redshift on DW2 (SSD) Nodes (1/23)
Compression for COPY from SSH,
Fetch size support for single node
clusters, new system tables with
commit stats, row_number(), strotol()
and query termination (2/13)
Resize progress indicator & Cluster
Version (3/21)
Regex_Substr, COPY from JSON
(3/25)
50 slots, COPY from EMR, ECDHE
ciphers (4/22)
3 new regex features, Unload to single
file, FedRAMP(5/6)
Rename Cluster (6/2)
Copy from multiple regions,
percentile_cont, percentile_disc (6/30)
Free Trial (7/1)
pg_last_unload_count (9/15)
AES-128 S3 encryption (9/29)
UTF-16 support (9/29)
Well over 125 new features added since launch
Release every two weeks
Automatic patching
18. Benefit #6: Amazon Redshift is powerful
Approximate functions
User-defined functions
Machine learning
Data science
19. Benefit #7: Amazon Redshift has a large ecosystem
Data integration Systems integratorsBusiness intelligence
21. Performance
Ease of use
Security
Analytics and
functionality
SOA
Recent launches Dynamic WLM parameters
Queue hopping for timed-out queries
Merge rows from staging to prod. table
2x improvement in query throughput
10x latency improvement for UNION ALL queries
Bzip2 format for ingestion
Table level restore
10x improvement in vacuum perf.
Default access privileges
Tag-based AWS IAM access
IAM roles for COPY/UNLOAD
SAS connector enhancements,
Implicit conversion of SAS
queries to Amazon Redshift
DMS support from OLTP sources
Enhanced data ingestion from
Kinesis Firehose
Improved data schema conversion
to Amazon ML
23. 68 million customers
Tens of TBs per day of data
across a mobile network
6 PB of total data (uncompressed)
Data science for marketing
operations, logistics, and so on
Greenplum on premises
Scaling challenges
Performance issues
Need same level of security
Need for a hybrid environment
NTT Docomo: Japan’s largest mobile
service provider
24. NTT Docomo: Japan’s largest mobile
service provider
Data
Source
ET
AWS
Direct
Connect
Client
Forwarder
LoaderState
management
Sandbo
x
Amazon Redshift
S3
125 node DS2.8XL cluster
4,500 vCPUs, 30 TB RAM
2 PB compressed
10x faster analytic queries
50% reduction in time for new BI
application deployment
Significantly less operations overhead
25. Nasdaq: powering 100 marketplaces
in 50 countries
Orders, quotes, trade executions,
market “tick” data from 7 exchanges
7 billion rows/day
Analyze market share, client activity,
surveillance, billing, and so on
Microsoft SQL Server on premises
Expensive legacy DW ($1.16 M/yr.)
Limited capacity (1 yr. of data online)
Needed lower TCO
Must satisfy multiple security and
regulatory requirements
Similar performance
26. Nasdaq: powering 100 marketplaces
in 50 countries
23 node DS2.8XL cluster
828 vCPUs, 5 TB RAM
368 TB compressed
2.7 T rows, 900 B derived
8 tables with 100 B rows
7 man-month migration
¼ the cost, 2x storage, room to grow
Faster performance, very secure