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Big Data in the Data CenterJean-Pierre DijcksBig Data Product Mangement1   Copyright © 2012, Oracle and/or its affiliates....
Agenda         Architecting Big Data         Building Big Data Solutions         Oracle Big Data Appliance2   Copyright...
Architecting Big Data3   Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
What Does a Big Data World Look Like?        Truck / Motor Manufacturer    What they collect    Monitors the complete car ...
What Does a Big Data World Look Like?         Retailer / White GoodsWhat they collectFood monitoring by RFID tags –Fridge ...
Sample of Big Data Use Cases Today    AUTOMOTIVE    Auto sensors                                                  What is ...
Building your big data architecture          Gradually Extending your Existing Architecture for Big Data:           Step ...
Step 0: Data Warehouse Foundation                                                                                         ...
Step 1: Deep Analysis of Current Data                                                                                     ...
Step 2: Architect for Volume and Variety                                                                                  ...
Step 3: Architect for Velocity                            High                                              Oracle        ...
Step 4: Discover New Information                                                                                          ...
Oracle Engineered Systems         Simplify IT – Simplify Big Data                                                         ...
Building Big Data Solutions14   Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
Building a Big Data Solution         Customer Retention and Social Media           Apply classic churn models to the Data...
Predict Customer Churn                                                                            ChurnFind at-risk custom...
Oracle Advanced Analytics           Oracle Data Mining12 Algorithms                                                       ...
Understand Your Customers                                                                            Churn   SocialFind in...
Oracle Big Data Appliance         Big Data Acquisition and Organization                                                   ...
Oracle Big Data Connectors                                                                                                ...
Oracle Advanced Analytics         Oracle R EnterpriseOpen source compatible                                               ...
Real-Time Retention Decisions                                                                            Churn    Social  ...
Oracle RTD and Oracle NoSQL Database                                                                                      ...
Oracle Big Data Appliance24   Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
Oracle Big Data ApplianceGet up and RunningQuicklyImprove Performance ofHadoopIntegrated with ExadataLower TCO for Big Dat...
Price comparisonOracle Big Data Appliance                                       “Build-Your-Own” – HP hardware and Clouder...
Big Data Appliance performance comparisons     6x faster than custom 20-node Hadoop                                   2.5x...
28   Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
29   Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
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2012 09 Oracle bigdata_architecture

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A description of four simple steps to augment an existing analytics infrastructure with big data including a simple end-to-end example of how to benefit from this addition of big data. Covers Hadoop, NoSQL, RDBMS and Streaming technologies like Event Processing

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  • Who are my most valuable customers?What is last Months Revenue?
  • Where are my most valuable customers located?Who is most likely to churn in the next month?
  • What opinions do people have?Why do people buy these products?
  • How do I influence buying decisions?How do I prevent serious issues from happening?
  • How do I influence buying decisions?How do I prevent serious issues from happening?
  • How do I influence buying decisions?How do I prevent serious issues from happening?
  • Transcript of "2012 09 Oracle bigdata_architecture"

    1. 1. Big Data in the Data CenterJean-Pierre DijcksBig Data Product Mangement1 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    2. 2. Agenda  Architecting Big Data  Building Big Data Solutions  Oracle Big Data Appliance2 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    3. 3. Architecting Big Data3 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    4. 4. What Does a Big Data World Look Like? Truck / Motor Manufacturer What they collect Monitors the complete car Miles Per Gallon, Driving techniques Location information How they use it Better tailored servicing plans Better targeted marketing Offer better finance deals or related options More data for R&D Sell on to partners Big Data means… The ability to predict when components might fail Create better service plans based on actual usage Drivers can post their data to manufacturers website Black box data can help with accidents4 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    5. 5. What Does a Big Data World Look Like? Retailer / White GoodsWhat they collectFood monitoring by RFID tags –Fridge monitors food usage and sell-by datesHow they use itAutomated food orderingBetter targeted marketing due to better data abouthow/when customer uses productsBig Data means… More detailed information about customers Better store based demand planning5 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    6. 6. Sample of Big Data Use Cases Today AUTOMOTIVE Auto sensors What is the main difference in this data? COMMUNICATIONS Location-based Retail / CPG Sentiment analysis FINANCIAL SERVICES EDUCATION & RESEARCH reporting advertising Hot products Risk & portfolio analysis Experiment location, New products sensor analysis Optimized Marketing problemsHIGH TECHNOLOGY / Volume, Velocity, Variety LIFE MEDIA/ ON-LINE SERVICES / HEALTH CAREINDUSTRIAL MFG. SCIENCES ENTERTAINMENT SOCIAL Patient sensors,Mfg quality Clinical trials Viewers / advertising MEDIA monitoring, EHRsWarranty analysis Genomics effectiveness People & career Quality of care Cross Sell matching Web-site optimization OIL & GAS These Characteristics Challenge your Games TRAVEL & TRANSPORTATION UTILITIES LAW ENFORCEMENT Drilling Adjust to exploration sensor analysis player behavior Existing Architecture Meter Sensor analysis for optimal traffic flows Smart analysis for & DEFENSE Threat analysis - network social media In-Game Ads Customer sentiment capacity, monitoring, photo analysis6 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    7. 7. Building your big data architecture Gradually Extending your Existing Architecture for Big Data:  Step 1: Further Analyze Current Data  Step 2: Architect for Data Variety and Volume  Step 3: Architect for Data Velocity  Step 4: Discover New Patterns Increase Business Value7 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    8. 8. Step 0: Data Warehouse Foundation • Dashboard High Oracle • Ad-Hoc Query Density Data Database Oracle BI Enterprise Edition Acquire Organize Analyze Decide8 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    9. 9. Step 1: Deep Analysis of Current Data • Dashboard High Oracle • Ad-Hoc Query Density Data Database Oracle BI • Churn Enterprise • Locality Edition Spatial and Graph Advanced Analytics Acquire Organize Analyze Decide9 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    10. 10. Step 2: Architect for Volume and Variety • Dashboard High Oracle • Ad-Hoc Query Density Database Data Oracle BI • Churn Enterprise • Locality Low Density Edition Spatial • Relationship variable Data and Graph • Comments Hadoop Advanced Aggregate Analytics Pre-Analyze Acquire Organize Analyze Decide10 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    11. 11. Step 3: Architect for Velocity High Oracle Density Data Database • Dashboard Oracle BI • Ad-Hoc Query Hadoop Enterprise Low Edition Density Spatial and • Churn Batch Data Graph • Locality Aggregate Advanced Pre-Analyze Analytics Model • Relationship • CommentsStreaming Event Real Time Data Processing Decisions • Recommend • Act Act Acquire Organize Analyze Decide11 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    12. 12. Step 4: Discover New Information Endeca Information Discovery High Oracle Density Data Database • Dashboard Oracle BI • Ad-Hoc Query Hadoop Enterprise Low Edition Density Spatial and • Churn Batch Data Graph • Locality Aggregate Advanced Pre-Analyze Analytics Model • Relationship • CommentsStreaming Event Real Time Data Processing Decisions • Recommend • Act Act Organize Analyze Decide • Discover Acquire 12 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    13. 13. Oracle Engineered Systems Simplify IT – Simplify Big Data • Dashboard  • Ad-Hoc Query Oracle Big Data Appliance Oracle Exadata Oracle • Churn • Locality   Exalytics • Relationship • Comments InfiniBand InfiniBand • Recommend • Act  • Discover  Acquire Organize Analyze Decide13 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    14. 14. Building Big Data Solutions14 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    15. 15. Building a Big Data Solution Customer Retention and Social Media  Apply classic churn models to the Data Warehouse data  Add Social Data (Twitter) and Relationships (Facebook)  Analyze Social Data and Relationships  Deploy New Retention Policy into the Data Stream Increase Business Value15 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    16. 16. Predict Customer Churn ChurnFind at-risk customersPredictive modelsWidely used16 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    17. 17. Oracle Advanced Analytics Oracle Data Mining12 Algorithms Build UsageExtreme performance Data Deploy Customer A: 0.49 Customer B: 0.25 ScoreGUI for Data Scientists Acquire Organize Analyze Decide17 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    18. 18. Understand Your Customers Churn SocialFind interesting data sets DataProcess the data torepresent meaningfulactionsUncover new relationships New Facts18 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    19. 19. Oracle Big Data Appliance Big Data Acquisition and Organization Twitter DataPre-integrated cluster Collect Customer A: Facebook Customer B:Sun Oracle hardware Sessionize DataCloudera CDH AggregateMassive scale Internal Log Data Acquire Organize19 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    20. 20. Oracle Big Data Connectors Customer A:High performance Customer A: Customer B: Customer B:Secure Cust A: 0.49Efficient Cust B: 0.25 Acquire Organize20 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    21. 21. Oracle Advanced Analytics Oracle R EnterpriseOpen source compatible Model Customer A: D 0.10 Customer B: 0.25Scales to huge data sets R B 0.79Extreme performance 0.49 Cust A: 0.49 A C Cust B: 0.25Widely used Organize Analyze Decide21 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    22. 22. Real-Time Retention Decisions Churn Social DataReact to real-time eventsInfluence key customersAdjust in real-time New New Policy Facts22 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    23. 23. Oracle RTD and Oracle NoSQL Database Enrich DecisionsSelf learning Tweet Events Model D BFast profile lookups A CIntegrated Instant Communication Tweet Offer Ideas Analyze Decide23 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    24. 24. Oracle Big Data Appliance24 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    25. 25. Oracle Big Data ApplianceGet up and RunningQuicklyImprove Performance ofHadoopIntegrated with ExadataLower TCO for Big Data25 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    26. 26. Price comparisonOracle Big Data Appliance “Build-Your-Own” – HP hardware and Cloudera Year 1 Year 2 Year 3 Total Year 1 Year 2 Year 3 Total Servers and BDA Cost $450,000 $428,220 switches Support $54,000 $54,000 $54,000 Support Cost $136,233 $72,000 $72,000 Cost On-site Installation & Installation $14,150 configuration not included Total $518,150 $54,000 $54,000 $626,150 Total $564,453 $72,000 $72,000 $708,453Full details at https://blogs.oracle.com/datawarehousing/entry/price_comparison_for_big_data
    27. 27. Big Data Appliance performance comparisons 6x faster than custom 20-node Hadoop 2.5x faster than 30-node Hadoop cluster cluster for large batch transformation jobs for tagging and parsing text documents 10 10 Time (hours) Time (hours) 5 5 0 0 Big Data DIY Hadoop Big Data Cloud-based Appliance Cluster Appliance Hadoop27 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    28. 28. 28 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
    29. 29. 29 Copyright © 2012, Oracle and/or its affiliates. All rights reserved.
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