Amazon Redshift for Business Intelligence
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Amazon Redshift for Business Intelligence

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An introduction to Amazon Redshift for business intelligence applications. Presented at Microstrategy World 2013.

An introduction to Amazon Redshift for business intelligence applications. Presented at Microstrategy World 2013.

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Amazon Redshift for Business Intelligence Amazon Redshift for Business Intelligence Presentation Transcript

  • introducingAMAZON REDSHIFT forBUSINESS INTELLIGENCE a presentation at MICROSTRATEGY WORLD 2013 by DR. MATT WOOD
  • Hello.
  • Thank you.
  • IData, dataeverywhere
  • I IIData, data Collection &everywhere storage
  • I II IIIData, data Collection & Dataeverywhere storage security
  • I II III IVData, data Collection & Data Dataeverywhere storage security movement
  • I II 0. III IV Amazon webData, data Collectionervices Data S & Dataeverywhere 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 servercapacity to power amazon.com in 2003,when it was a $5B enterprise
  • IData, data everywhere
  • Data for competitive advantage.
  • Customer segmentation,financial modeling,system analysis,line of sight,business intelligence...
  • Generation Collection & storageAnalytics & computationCollaboration & sharing
  • Cost of data generation is falling.
  • devicesKindle Fire HD, Kindle Fire, KindlePaperwhite and Kindle hold the top fourspots on the Amazon world wide best sellerchart 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 giftedkindle book
  • lower cost,increased throughput Generation Collection & storage Analytics & computation Collaboration & sharing
  • Generation highly constrained Collection & storageAnalytics & computationCollaboration & 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 & storageAnalytics & computationCollaboration & sharing
  • Generation Collection & storageAnalytics & computationCollaboration & sharing
  • Full value.
  • Close the gap.
  • Reduced time to market.
  • Identify and meet new business opportunities.
  • Lower costs.
  • IICollection & 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 useno capital investment Lower costs. Ease of use.pay as you go no subscriptions
  • programmable integrate with existing toolsLower costs. Ease of use. easy to zero admin configure
  • Data warehousing.
  • Expensive. Complicated.
  • Enterprises average between3 and 4 DBAs per datawarehouse. 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 NodeCompute Compute Compute Node Node Node
  • Leader NodeCompute Compute Compute Node Node Node
  • 10gigE full bisection network.
  • Leader NodeCompute Compute Compute Node Node Node
  • Common BI Tools JDBC/ODBC Leader NodeCompute 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 NodeCompute Compute Compute Node Node Node
  • Common BI Tools JDBC/ODBC Leader NodeCompute Compute Compute Node Node Node
  • Common BI Tools JDBC/ODBC Leader NodeCompute Compute Compute Node Node Node
  • Elastic.
  • Common BI Tools JDBC/ODBC Leader NodeCompute Compute Compute Node Node Node
  • Common BI Tools JDBC/ODBC Leader NodeCompute Compute Compute Compute Compute Node Node Node Node Node
  • Common BI Tools JDBC/ODBC Leader NodeCompute Compute Compute Node Node Node
  • Data warehouse node types.
  • High Storage Extra Large (XL)15GB RAM2TB local attached storage3 drives2 virtual cores
  • High Storage Extra Large (XL) 8 High Storage Extra Large (8XL)15GB RAM 120GB RAM2TB local attached storage 16TB local attached storage3 drives 24 drives2 virtual cores 16 virtual cores
  • Pay as you go.
  • Hourly Prices 2 TB nodes 16 TB nodesOn-demand $0.850 $6.801 Year $0.50 $4.00Reservation3 Year $0.228 $1.824Reservation
  • Hourly Prices 2 TB nodes 16 TB nodesOn-demand $0.850 $6.801 Year $0.50 $4.00Reservation3 Year $0.228 $1.824Reservation
  • $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 clusterCompared 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
  • IIIData security.
  • Security is our number one priority.
  • Shared responsibility.
  • Choose your region.
  • Availability zones.
  • SOC 2 ISAE 3402 FISMA Moderate PCI DSS FIPS 140-2ISO 27001 ITAR HIPAA MPAA
  • “You basically turn yourself into apolymorphic surface to which the attack guyhas a much tougher time getting at. That,ultimately, is the real key advantage to drivesecurity and make things much better for usacross the board.”Gus Hunt, CTOCentral 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.
  • IVData 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 RDSAmazon DynamoDB Amazon RedshiftHDFS (Amazon EMR) On Premise
  • AWS Data Pipeline
  • Data-intensive orchestration & automation.
  • Reliable, scheduleddata movement and analytics.
  • aws.amazon.com/datapipeline
  • aws.amazon.com
  • IData, dataeverywhere
  • I IIData, data Collection &everywhere storage
  • I II IIIData, data Collection & Dataeverywhere storage security
  • I II III IVData, data Collection & Data Dataeverywhere storage security movement
  • Thank you.
  • get in touch introducing MATTHEW@AMAZON.COMAMAZON REDSHIFT or @MZA forBUSINESS INTELLIGENCE AWS.AMAZON.COM