Amazon Redshift is a fully managed, petabyte-scale data warehouse offering quick provisioning, pay-as-you-go pricing, and high performance through features like columnar storage and data compression. It ensures data security with built-in encryption and continuous backups, while supporting parallel query execution and data loading. The document also discusses the economics of Redshift, emphasizing its affordability compared to traditional data warehouses, and outlines how Blazeclan can assist organizations with Redshift implementations.

1. AWS Redshift
Your Data Warehouse Solution
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2. Agenda
Introduction to Amazon Redshift
Economics for Amazon Redshift
Redshift Demo
Cloudlytics.com Case Study
How BlazeClan can help your
organization with Redshift?
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3. Introduction to Amazon Redshift
Image courtesy: datacenterknowledge.com
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4. Amazon Redshift
• Fully managed, Petabyte scale data warehouse
• Provision in minutes
• Pay as you go, no upfront costs
• Extremely fast with low prices
• Supports SQL
Image courtesy: datacenterdynamics.com
• Allows JDBC & ODBC Connections
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5. Amazon Redshift – Key Differentiators
Columnar Storage
Data Compression
Redshift parallelizes
everything
Massively Parallel
Processing (MPP)
Architecture
Redshift Drastically
Reduces I/O
Encryption
Amazon VPC
Automated backups
Built-in Security
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6. We’re off to a good start !
Some Happy feedbacks !
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7. Amazon Redshift Reduces I/O drastically
Column Storage
Large data block
sizes
Zone Maps
Direct-attached
Storage
Data
Compression
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8. Amazon Redshift Reduces I/O drastically
• Column Storage
Typical Row Storage
• Data Compression
• Zone Maps
• Direct-attached Storage
• Large data block sizes
Blazeclan
Columnar Storage in Redshift
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9. Amazon Redshift Reduces I/O drastically
• Column Storage
• Data compression reduces storage
• Data Compression
• Increases I/O, improves query
performance
• Zone Maps
• Less memory utilization, allowing
more memory for query processing
• Direct-attached Storage
• Large data block sizes
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10. Amazon Redshift Reduces I/O drastically
• Column Storage
• Data Compression
• Keep track of minimum &
maximum value of each block
• Zone Maps
• Skip over blocks that don’t
contain the data needed for a
query
• Direct-attached Storage
• Minimize unnecessary I/O
• Large data block sizes
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11. Amazon Redshift Reduces I/O drastically
• Column Storage
• Data Compression
• Use direct-attached storage to
maximize throughput
• Zone Maps
• Hardware optimized for high
performance data processing
• Direct-attached Storage
• Large block sizes to make the
most of each read
• Large data block sizes
Blazeclan
• Amazon Redshift manages
durability for you
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12. Amazon Redshift Architecture
• Leader Node
• Manages communication with client
nodes and compute nodes
• Creates execution plans
• Compiles code based on execution
plan
• Distributes loads based on the
execution plan to multiple compute
nodes
• Compute Node
• Executes compiled code received
from the leader node
• Each node has dedicated compute
and storage capacity and memory
• Clusters can be scaled based on
the processing requirements
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13. Redshift is Secure
• Amazon Redshift has security built-in
• SSL to secure data in transit
• Encryption to secure
data at rest
• AES-256
• All blocks on disk and Amazon
S3 are encrypted
• No direct access to compute
nodes
• Amazon VPC Support
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14. Continuous Backup and Recovery
• Replication within the cluster and backup to
Amazon S3 to maintain multiple copies of data
all the times
• Backups to Amazon S3 are continuous,
automatic and incremental
• S3 is 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
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15. Redshift Distributes & Parallelizes everything
Query
Load
Backup
Resize
Restore
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16. Redshift Distributes & Parallelizes everything
• Query
• Load
• Backup
• Restore
• Resize
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17. Redshift Distributes & Parallelizes everything
• Query
• Load in Parallel from Amazon S3 &
Amazon DynamoDB
• Load
• Data automatically distributed &
sorted
• Backup
• Scales linearly with number of
nodes
• Restore
• Resize
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18. Redshift Distributes & Parallelizes everything
• Query
• Load
• Backup
• Restore
• Resize
Blazeclan
• Backups up data automatically to
Amazon S3
• Backups are continuous and
incremental
• Configurable system snapshot
retention period
• Take user snap shots on demand
• Streaming restores enable you to
resume querying faster
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19. Redshift Distributes & Parallelizes everything
• Query
• Load
• Backup
• Scale up without any downtime
• Provision a new cluster in the
background
• Copy data in parallel from node to
node
• Restore
• Only charged for source cluster
• Resize
• Automatic SQL endpoint switchover
via DNS
• Decommission Source Cluster
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20. Economics of Amazon Redshift
Image courtesy: dataversity.net
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21. Traditional Data Warehouses
• Expensive Hardware &
Software Licensing
• Upfront investments
• Large team of skilled, highly
paid DBAs to manage
• Tuning & Administration is expensive
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Image courtesy: clker.com
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22. Traditional Data Warehouses
• Large Enterprises
• YoY data growth is more than 50%
• Data warehousing is not growing at the
same rate
• Most of the data generated is not put in to
data warehouses
• Losing competitive edge as not all data is
analyzed
• Small Enterprises
• Cannot afford the current solutions
• Limited access to the expensive talent
pool to implement
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23. Amazon Redshift Pricing
• No upfront charges
• Pay-as-you-go
• Priced to analyze all your data
• Less than $1 per hour for on demand prices
• On Demand Annual Cost per TB = $3723
• 3 Year Reserved Annual Cost per TB = $999
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24. Amazon Redshift Configurations
• HS1.XL:
• 2 Cores
• 6 GiB Memory
• 3 disk drives with 2 TB local
compressed storage
• HS1.8XL:
•
•
•
•
16 Cores
128 GiB Memory
24 disk drives with 16 TB local storage
2 GB/second scan rate
• You can start with a Single Node instance
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25. Amazon Redshift works with your existing
Analysis tools
Content referenced from:
http://www.slideshare.net/AmazonWebServices/buildingfault-tolerant-applications-in-the-cloud-aws-summit-2012-nyc
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26. Case Study
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27. CLOUDLYTICS
Case Study
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28. Cloudlytics.com
Detailed analysis of your
S3 & CloudFront access
patterns
Scalable &
Reliable service
built using
Amazon EMR &
RedShift
Cloudlytics Analyze your
Amazon S3 &
CloudFront
Logs.
Dynamic Graphs
to get a 360
degree
perspective
Pay as
you Go
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29. How BlazeClan can help
you with
Redshift?
Blazeclan
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30. End to End Data Warehouse Consulting
Requirement
Analysis
Training &
Knowledge
Transfer
Data
modeling
Initial Data
Migration
Blazeclan
Capacity
Planning &
Redshift
Setup
Managed
Services
Design &
Build
ETL process
BI
Integration
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31. Thank you
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Contact us :
Blazeclan
http://blog.blazeclan.com/
info@blazeclan.com
www.blazeclan.com
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