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Evolve toward Enterprise Big Data Warehouse, Sylwester Dec, Oracle Polska

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Oracle Extreme Analytic Summit, 22.03.2012 r.

Oracle Extreme Analytic Summit, 22.03.2012 r.

Published in: Technology, Business

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  • 1. Evolving Toward Enterprise Big Data Warehouse Sylwester Deć Senior Sales Consultant Business Intelligence & Data Warehousing Copyright © 2012, Oracle and/or its affiliates. All rights Insert Information Protection Policy Classification from Slide 81 reserved.
  • 2. What is Big Data? What is Big Data?2
  • 3. What is Big Data? It’s not always bigCould be VERY BIG 1PB+3
  • 4. What is Big Data? Typically Regarded as Junk Data Its easier to throw it away than do something useful with it Web Logs Sensor Output Historical Data Blogs4
  • 5. Big Data5
  • 6. Oracle Big Data6
  • 7. Consolidate Onto a Single Platform Faster Performance, Single Source of Truth Data Marts Online Analytics ETL Data Mining Oracle Database 11g Oracle Exadata Database Machine7
  • 8. Oracle Exadata Database Machine For OLTP, Data Warehousing & Consolidated Workloads • Improve query performance by 10x –Better insight into customer requirements –Expand revenue opportunities • Consolidate OLTP and analytic workloads –Lower admin and maintenance costs –Reduce points of failure • Integrate analytics and data mining – Complex and predictive analytics • Lower risk –Streamline deployment –One support contact8
  • 9. Oracle Exadata Database Machine Family Oracle Exadata Database Machine X2-2 Oracle Database Server Pool • 2 - 8 Database Servers –up to 96 CPU Cores –768 GB Memory –Oracle Linux or Solaris 11 Express Exadata Storage Server Pool • 3 - 14 Storage Servers (36-168 SQL cores) –5 TB Smart Flash Cache –504 TB Disk Storage Unified Server/Storage Network • 40 Gb/sec Infiniband Links Available in multi, full, half, quarter racks9
  • 10. Oracle Exadata Database Machine Family Oracle Exadata Database Machine X2-8 Oracle Database Server Pool • Full Rack - 2 Database Servers –160 CPU Cores –4 TB Memory –Oracle Linux or Solaris 11 Express Exadata Storage Server Pool • 14 Storage Servers –5 TB Smart Flash Cache –504 TB Disk Storage Unified Server/Storage Network • 40 Gb/sec Infiniband Links Full and multi-rack configuration1
  • 11. Exadata Smart ScanRows and columns filtered as data streams from disks in Exadata Storage Servers•Parallelize query execution and removes bottlenecks• 1
  • 12. Exadata Hybrid Columnar Compression Reduce Disk Space Requirements •Data stored by column and then compressed •Useful for data that is bulk loaded or moved •Query mode for data warehousing •Typical 10X compression ratios •Scans improve accordingly •Archival mode for old data Up To •Typical 15X up to 50X compression ratios 50X1
  • 13. Partition for Performance Partition Pruning Sales Table Select sum(sales_amount) 5/19 What was the total sales amount for May 20 and From SALES May 21 2010? Where sales_date between 5/20 to_date(‘05/20/2011’,’MM/DD/YYYY’) 5/21 And to_date(‘05/22/2011’,’MM/DD/YYYY’); 5/22 Performs operations only on relevant partitions • Dramatically reduces amount of data retrieved from disk • Improves query performance and optimizes resource utilization •1
  • 14. Exadata Smart Flash Cache Extreme Performance for OLTP Applications Frequently Used Data Infrequently Used Data Full rack has 5 TB of Smart Flash Cache • Can process over 1.5 million IOs per second • 50 GB/sec query throughput on uncompressed data • 5x more I/Os than 1000 Disk Enterprise Storage Array •1
  • 15. Built-In Analytics Secure, Scalable Platform for Advanced Analytics Oracle OLAP Analyze and summarize Oracle Data Mining Uncover and predict Complex and predictive analytics embedded into Oracle Database 11g • Reduce cost of additional hardware, management resources • Improve performance by eliminating data movement and duplication •1
  • 16. Standardized and Simple to Deploy ● All Database Machines are the same •Delivered Tested and Ready-to-Run •Highly Optimized •Highly Supportable •No unique configuration issues ● Runs existing OLTP and DW applications ● Full 30 years of Oracle DB capabilities ● No Exadata certification required ● Leverages Oracle ecosystem Design to Rapid Skills, knowledge base, people, Oracle ● Deployment Consulting, partners1
  • 17. Robi Axiata Improves Query Response 10x Generates 60% ROI in first year with 10x better compression •Expected to save $1.3 M through improved business user productivity •Improved query performance by 5x-10x on average, and up to 50x •Reduced system utilization from 100% to 85% during peak hours –Data warehouse load time dropped from 1 hour to 6 minutes Able to compete more effectively, support future growth, and lower IT • overhead costs“The Oracle Exadata Database Machine has enabled the mobile operator to increase data miningand analytical efficiency to provide better services to Robi customers.” AK Monzur Morshed, Chief Technical Officer of Robi1
  • 18. Oracle Exadata Momentum Rapid Adoption in All Geographies and Industries1
  • 19. 1