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introducing

AMAZON REDSHIFT
                  for

BUSINESS INTELLIGENCE

            a presentation at
      MICROSTRATEGY WORLD 2013
                   by
           DR. MATT WOOD
Hello.
Thank you.
I
Data, data
everywhere
I            II
Data, data   Collection &
everywhere     storage
I            II          III
Data, data   Collection &     Data
everywhere     storage      security
I            II          III         IV
Data, data   Collection &     Data       Data
everywhere     storage      security   movement
I            II      0.    III         IV
                  Amazon web
Data, data   Collectionervices Data
                      S &                  Data
everywhere     storage        security   movement
Building blocks.
Compute, storage & databases.
Retail   Merchant     Web
         services   services
Blinding flash of the obvious.
Available.
Low cost.
Flexible.
Every day, AWS adds enough server
capacity to power amazon.com in 2003,
when it was a $5B enterprise
I


Data, data everywhere
Data for competitive advantage.
Customer segmentation,
financial modeling,
system analysis,
line of sight,
business intelligence...
Generation



  Collection & storage



Analytics & computation



Collaboration & sharing
Cost of data generation is falling.
devices



Kindle Fire HD, Kindle Fire, Kindle
Paperwhite and Kindle hold the top four
spots on the Amazon world wide best seller
chart since launch.
Amazon Appstore selection tripled in 2012.

                                apps and games
Amazon customers purchased more than
  one toy per second on mobile devices.

commerce
most gifted
kindle book
lower cost,
increased throughput
                             Generation



                         Collection & storage



                       Analytics & computation



                       Collaboration & sharing
Generation

                            highly
                          constrained
  Collection & storage



Analytics & computation



Collaboration & sharing
Gap.
Data volume
                               The Data Analysis Gap




                                                                                                                       Generated data

                                                                                                                       Available for analysis




             1990                            2000                             2010                              2020
                     Enterprise Data                                       Data in Warehouse
      Gartner: User Survey Analysis: Key Trends Shaping the Future of Data Center Infrastructure Through 2011
      IDC: Worldwide Business Analytics Software 2012–2016 Forecast and 2011 Vendor Shares
Enter AWS.
Utility.
Remove constraints.
Generation

                            highly
                          constrained
  Collection & storage



Analytics & computation



Collaboration & sharing
Generation



  Collection & storage



Analytics & computation



Collaboration & sharing
Full value.
Close the gap.
Reduced time to market.
Identify and meet new business
         opportunities.
Lower costs.
II


Collection & Storage
One schema to rule them all.
One schema to rule them all.
Lots of data.
 Lots of users.
  Lots of uses.
Lots of locations.
Cost.
Multipliers.
Object storage.
99.999999999%
     durability
Relational databases.
NoSQL data stores.
HDFS based stores.
Undifferentiated heavy lifting.
Lower costs. Ease of use.
only pay for what you use

no capital investment



          Lower costs. Ease of use.
pay as you go

         no subscriptions
programmable     integrate with
                        existing tools



Lower costs. Ease of use.
                           easy to
           zero admin
                          configure
Data warehousing.
Expensive. Complicated.
Enterprises average between
3 and 4 DBAs per data
warehouse.




  Source: Gartner. Critical factors in calculating the data warehouse TCO, July 2009
Source: Oracle technology global price list 11/1/2012
Expensive. Complicated.
Unobtainable.
Amazon Redshift.
Fast. Powerful. Petabyte scale.
Managed service.
Automated deployment
   & configuration.
SQL access and BI tool integration.
Parallel execution.
Leader
 Node
Leader
           Node




Compute   Compute   Compute
 Node      Node      Node
Leader
           Node




Compute   Compute   Compute
 Node      Node      Node
10gigE full bisection network.
Leader
           Node




Compute   Compute   Compute
 Node      Node      Node
Common BI Tools

          JDBC/ODBC


                Leader
                 Node




Compute        Compute        Compute
 Node           Node           Node
Certified for use with
  Microstrategy.
Data compression.
Automated backup to S3.
Data encrypted in transit
       & at rest.
Streaming recovery.
Common BI Tools

          JDBC/ODBC


                Leader
                 Node




Compute        Compute        Compute
 Node           Node           Node
Common BI Tools

          JDBC/ODBC


                Leader
                 Node




Compute        Compute        Compute
 Node           Node           Node
Common BI Tools

          JDBC/ODBC


                Leader
                 Node




Compute        Compute        Compute
 Node           Node           Node
Elastic.
Common BI Tools

          JDBC/ODBC


                Leader
                 Node




Compute        Compute        Compute
 Node           Node           Node
Common BI Tools

                    JDBC/ODBC


                          Leader
                           Node




Compute   Compute        Compute        Compute   Compute
 Node      Node           Node           Node      Node
Common BI Tools

          JDBC/ODBC


                Leader
                 Node




Compute        Compute        Compute
 Node           Node           Node
Data warehouse node types.
High Storage Extra Large (XL)
15GB RAM
2TB local attached storage
3 drives
2 virtual cores
High Storage Extra Large (XL)   8 High Storage Extra Large (8XL)
15GB RAM                        120GB RAM
2TB local attached storage      16TB local attached storage
3 drives                        24 drives
2 virtual cores                 16 virtual cores
Pay as you go.
Hourly Prices
              2 TB nodes           16 TB nodes

On-demand       $0.850                   $6.80

1 Year
                $0.50                    $4.00
Reservation
3 Year
                $0.228                   $1.824
Reservation
Hourly Prices
              2 TB nodes           16 TB nodes

On-demand       $0.850                   $6.80

1 Year
                $0.50                    $4.00
Reservation
3 Year
                $0.228                   $1.824
Reservation
$999 per TB
Don’t pay for the leader node.
No additional storage charge for
  backups of active clusters.
VPC ready.
Low cost. Easy to use.
Focus on analysis.
Private beta today.
Available early this year.
aws.amazon.com/redshift
2 billion row dataset. 6 representative queries.
Amazon Redshift: 2 instance cluster
Compared to 32 nodes. 128 CPUs. 4.2 TB RAM. 1.6 PB storage. 2 billion row data set.




               12x to 150x faster
29 minutes 58 seconds
        down to

     12 seconds
III


Data security.
Security is our number one priority.
Shared responsibility.
Amazon Redshift for Business Intelligence
Choose your region.
Availability zones.
SOC 2       ISAE 3402 FISMA Moderate   PCI DSS   FIPS 140-2




ISO 27001        ITAR          HIPAA             MPAA
Amazon Redshift for Business Intelligence
“You basically turn yourself into a
polymorphic surface to which the attack guy
has a much tougher time getting at. That,
ultimately, is the real key advantage to drive
security and make things much better for us
across the board.”

Gus Hunt, CTO
Central Intelligence Agency
Virtual Private Cloud.
Network isolated environment.
Public and private subnets.
Redshift, relational databases, Hadoop
      can run inside the VPC.
Extend your VPN.
Identity and access federation.
Identity and access management.
IV


Data movement.
“How do I get my data
  into the cloud?”
Generated and stored
 in the AWS cloud.
Inbound transfer if free.
Multipart upload.
Aspera, IRODS.
Physical media.
AWS Direct Connect.
1Gbps or 10Gbps
Built in AZ replication.
Regional replication.
“How do I integrate my data?”
Amazon S3           Amazon RDS


Amazon DynamoDB     Amazon Redshift


HDFS (Amazon EMR)   On Premise
AWS Data Pipeline
Data-intensive orchestration
       & automation.
Reliable, scheduled
data movement and analytics.
aws.amazon.com/datapipeline
aws.amazon.com
I
Data, data
everywhere
I            II
Data, data   Collection &
everywhere     storage
I            II          III
Data, data   Collection &     Data
everywhere     storage      security
I            II          III         IV
Data, data   Collection &     Data       Data
everywhere     storage      security   movement
Thank you.
get in touch
        introducing
                        MATTHEW@AMAZON.COM


AMAZON REDSHIFT                  or
                               @MZA

           for

BUSINESS INTELLIGENCE
                         AWS.AMAZON.COM

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