Analytic Excellence - Saying Goodbye to Old Constraints

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The Briefing Room with Dr. Robin Bloor and Actian
Live Webcast August 6, 2013
http://www.insideanalysis.com

With all the innovations in compute power these days, one of the hardest hurdles to overcome is the tendency to think in old ways. By and large, the processing constraints of yesterday no longer apply. The new constraints revolve around the strategic management of data, and the effective use of business analytics. How can your organization take the helm in this new era of analysis?

Register for this episode of The Briefing Room to find out! Veteran Analyst Wayne Eckerson of The BI Leadership Forum, will explain how a handful of key innovations has significantly changed the game for data processing and analytics. He'll be briefed by John Santaferraro of Actian, who will tout his company's unique position in "scale-up and scale-out" for analyzing data.

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Analytic Excellence - Saying Goodbye to Old Constraints

  1. 1. The Briefing Room Analytic Excellence: Saying Goodbye to Old Constraints
  2. 2. Twitter Tag: #briefr The Briefing Room Welcome Host: Eric Kavanagh eric.kavanagh@bloorgroup.com
  3. 3. Twitter Tag: #briefr The Briefing Room !   Reveal the essential characteristics of enterprise software, good and bad !   Provide a forum for detailed analysis of today s innovative technologies !   Give vendors a chance to explain their product to savvy analysts !   Allow audience members to pose serious questions... and get answers! Mission
  4. 4. Twitter Tag: #briefr The Briefing Room Topics This Month: ANALYTIC PLATFORMS September: ANALYTICS October: DATA PROCESSING
  5. 5. Twitter Tag: #briefr The Briefing Room Analytic Platforms Analytic Excellence: Saying Goodbye to Old Constraints
  6. 6. Twitter Tag: #briefr The Briefing Room Analyst: Wayne Eckerson Wayne Eckerson has been a thought leader in the data warehousing, business intelligence and performance management fields since 1995. He has conducted numerous in-depth research studies and is the author of the best-selling book “Performance Dashboards: Measuring, Monitoring, and Managing Your Business.” He is a noted keynote speaker and blogger, and he consults and conducts workshops on business analytics, performance dashboards, and business intelligence, among other topics. For many years, Wayne served as director of education and research at The Data Warehousing Institute (TDWI).Wayne is also a principal consultant at BI Leader Consulting and a founder of BI Leadership Forum. Wayne is also director of research at TechTarget. He can be reached at weckerson@bileader.com.
  7. 7. Twitter Tag: #briefr The Briefing Room ! Actian is a database and software development company that has recently made some tactical acquisitions ! Actian offers the ParAccel Big Data Analytics Platform, which includes an analytic database, an extensibility framework, on-demand integration and integrated analytics !   The database engine behind the Platform is fully columnar and leverages a shared-nothing architecture Actian
  8. 8. Twitter Tag: #briefr The Briefing Room Guest: John Santaferraro John Santaferraro is the Vice President of Product Marketing at Actian. Prior to joining Actian, Santaferraro was an independent industry analyst in the business intelligence and analytics market. Before that he developed and executed a vertical market strategy for Hewlett Packard's BI group, focusing on energy, communications, retail, healthcare and financial services; he was also instrumental in helping establish HP’s new BI business group with a combination of solutions, products and consulting. In 2000, John founded a marketing and sales consulting company, Ferraro Consulting, providing business acceleration strategy for technology companies.
  9. 9. Unconstrained Analytics ParAccel Big Data Analytics Platform John Santaferraro Vice President of Marketing, ParAccel Platform Group August 5, 2013
  10. 10. Agenda §  The Age of Data §  Unconstrained Analytics §  ParAccel Big Data Analytic Platform 10Confidential © 2013 Actian Corporation
  11. 11. 11 The Age of Data - Where Data and Algorithms Collide Confidential © 2013 Actian Corporation
  12. 12. Free Your Analysts 12Confidential © 2012 Actian Corporation Unconstrained Analytics Load and Go Run Ad Hoc Queries Query Any Time Query Any Data Query All Data Run Any Analytics Execute Sophisticated Analytics Return Results Quickly Iterate Quickly Through Discovery Share Workloads With Any Platform Support All Analysts Run Many Applications Create Analytic Services
  13. 13. Support Entire Ecosystems of Analytics 13Confidential. Do not Distribute. Customer Churn Support cost analytics Campaign ROI Profitability Customer value Cross-sell Customer retention Customer experience Profiling Market trends Up-Sell Average order size Segmentation Channel management Churn models Decision management Social media analytics Partner managementCustomer satisfaction Communication management Unconstrained Customer Analytics
  14. 14. Support the Entire Analytic Process 14Confidential © 2013 Actian Corporation Connect Prepare AnalyzeOptimize DATA VALUE
  15. 15. ParAccel Big Data Analytics Platform 15 Confidential © 2013 Actian Corporation ›  On-demand integration ›  In-advance integration ›  In-flight preparation ›  In-Hadoop preparation ›  In-database preparation ›  Database optimizations ›  Hardware optimizations ›  Dataflow optimizations ›  In-database analytics ›  HDFS-based analytics Business Intelligence Analytics Enterprise Social New Data Applications DW www Mobile Machine Data High-Performance BI High-Performance Analytics Connect Prepare AnalyzeOptimize DATA VALUE The highest performing analytic platform with the most comprehensive analytic capabilities for the full big data landscape from point applications to enterprise-scale deployments.
  16. 16. Highest Performing Analytic Platform In-Memory Option: Lock all data and processes to run in-memory I/O Optimization Intelligent Prefetch, Intelligent Caching of Data In-Memory Communication Optimization Packet delivery optimized for analytics, low overhead, plus Virtual Hotwire Parallel Processing Each node processes, pipelines, and leverages both columnar & compression Workload Management Establish query classes for long, short, and interactive queries Compiled Queries Queries compiled to run within the database on each individual node In-Database Analytics Store and run SQL, aggregate, and analytic functions in the database application Execution Optimization Final optimization based on resources available Planning Optimization Choose the best from up to competing plans based on costing model SQL Optimization Extreme SQL Support with breakdown into 2000 segments, MPP and data-aware Parallel Loading 1TB per node, per hour, up to 100 nodes, without complex data preparation 16Confidential. Do not Distribute.
  17. 17. Most Cooperative Analytic Processing Business  Intelligence   and  Repor3ng  Tools   Advanced     Analy3cs   Analy3c     Applica3ons   Machine   Data   Opera3onal   Data   3rd  Party   Info   Provider   Streaming   Data   Logs   ParAccel  PlaBorm   On  Demand  Integra3on   Enterprise   Data  Warehouse   Hadoop   Big  Data   Apps   Embedded   Analy3cs  
  18. 18. Big Data Bottlenecks 18Confidential © 2012 Actian Corporation Prepare   profile    match    cleanse      aggregate   audit   Analyze   sample     model      discover   visualize   predict   Consume   report   chart   dashboard      alert   act   Connect   monitor   log   ingest   event  capture   decrypt  
  19. 19. ParAccel Dataflow Parallelizes Everything 19Confidential © 2012 Actian Corporation Prepare   profile    match    cleanse      aggregate   audit   Analyze   sample     model      discover   visualize   predict   Consume   report   chart   dashboard      alert   act   Connect   monitor   log   ingest   event  capture   decrypt  
  20. 20. ParAccel Dataflow Parallelizes Everything 20Confidential © 2012 Actian Corporation Prepare   profile    match    cleanse      aggregate   audit   Analyze   sample     model      discover   visualize   predict   Consume   report   chart   dashboard      alert   act   Connect   monitor   log   ingest   event  capture   decrypt   File Support Windows Linux HDFS Amazon S3
  21. 21. ParAccel Dataflow Engine and Hadoop Analytics - a framework that allows you to develop ETL and analytics visually on Hadoop (or other file systems) but requires no knowledge of MapReduce or parallel programming to use 21Confidential © 2013 Actian Corporation
  22. 22. Operator Library 22
  23. 23. Using ParAccel Dataflow Engine 23
  24. 24. What Does ParAccel Platform Mean to You? 24Confidential © 2013 Actian Corporation Differentiation •  Highest Performing Analytic Platform •  Most Comprehensive Analytic Capabilities •  Most Cooperative Analytic Processing •  Most Flexible Deployment Options Unique Value u  Best Price Performance u  Quickest Time to Analytic Value u  Quickest Time to Analytic Change u  Best Leverage of Existing Investments u
  25. 25. Envisioning Unconstrained Analytics §  What are the immediate, pending, and “no constraints” opportunities for analytics? 25Confidential. Do not Distribute. Immediate Needs Weekly Market Basket Analysis Pending Needs Daily Market Basket Analysis No Constraints On-Demand Market Basket Analysis Demand signaling
  26. 26. Envisioning Unconstrained Analytics §  What are the immediate, pending, and “no constraints” opportunities for data expansion? 26Confidential. Do not Distribute. Immediate Needs Point of Sale + Loyalty + Credit + Pyschographic 2 Years Data Pending Needs Partner Data 6 Years Data Archived, Accessible No Constraints Social Media Data
  27. 27. Envisioning Unconstrained Analytics §  What are the immediate, pending, and “no constraints” opportunities for analyst communities? 27Confidential. Do not Distribute. Immediate Needs Business Analysts Pending Needs Store Managers No Constraints Suppliers
  28. 28. Questions and Answers §  What are the immediate, pending, and “no constraints” opportunities for analytics? 28Confidential. Do not Distribute. Immediate Needs Pending Needs No Constraints
  29. 29. Twitter Tag: #briefr The Briefing Room Perceptions & Questions Analyst: Wayne Eckerson
  30. 30. 1.  General  purpose  RDBMS   2.  Analy=cal  pla?orms   3.  Hadoop   Big  data  plaBorms  –  Three  genera3ons   30  www.bileader.com  
  31. 31. 2nd  genera3on:  Analy3cal  plaBorms   1010data   Aster  Data  (Teradata)   Calpont   Datallegro  (MicrosoJ)   Exasol   Greenplum  (EMC)   IBM  SmartAnaly=cs   Infobright   Kogni=o   Netezza  (IBM)   Oracle  Exadata   Paraccel   Pervasive   Sand  Technology   SAP  HANA   Sybase  IQ  (SAP)   Teradata   Ver=ca  (HP)     •  Purpose-­‐built  RDBMS   •  Quicker  to  deploy   •  Faster  and  more  scalable   •  Lower  cost  per  TB   •  Built-­‐in  analy3cs     Deployment  Op3ons   -­‐ SoJware  only  (Paraccel,  Ver=ca)   -­‐ Appliance  (HANA,  Exadata,  Netezza)   -­‐ Cloud  (1010data,  Kogni=o,  HANA)     www.bileader.com  
  32. 32. Mapping  big  data  plaBorms   32        Structured  à          Semi-­‐Structured  à  Unstructured                                                            Hadoop                                                    Analy=c  Pla?orm  (RDBMS)               General  Purpose  RDBMS                  Low  Latency                              Summarized  Data  à                  High  cost  per  TB                            High  Latency   ß  Detailed  Data                Low  cost  per  TB   Adapted  with  permission  from  Hortonworks   www.bileader.com  
  33. 33. Analy3cal  Ecosystem   Machine Data Web Data Hadoop  Cluster   Power  User   BI   Server   Casual  User   Operational System Operational System Upload  &  query     Query  Free-­‐standing   Analy3cal   sandbox   Logical  or       Physical   Data  Mart   Data  Warehouse           Virtual  Sandboxes   Top-­‐down  BI   Bo+om-­‐up  BI   External Data   Alerts   Audio/video Data Streaming/   CEP  Engine   Visual   discovery   tools   Event-­‐driven  messaging   Classic  BI    KEY:   New  Stuff     ODS   ETL   Interac=ve     dashboards    
  34. 34. •  What  are  ParAccel’s  key  differen=ators  in  a   crowded  market?   •  What  types  of  workloads  does  ParAccel   handle  best?   •  How  does  ParAccel  integrate  with  Hadoop?     •  Who  are  ParAccel’s  key  partners?     •  How  does  ParAccel  fit  into  the  Ac=an   database  por?olio?     Ques3ons   34  www.bileadership.com  
  35. 35. Twitter Tag: #briefr The Briefing Room
  36. 36. Twitter Tag: #briefr The Briefing Room August: ANALYTIC PLATFORMS September: ANALYTICS October: DATA PROCESSING Upcoming Topics www.insideanalysis.com
  37. 37. Twitter Tag: #briefr The Briefing Room Thank You for Your Attention PHOTO CREDIT: Photo on Slide 5 borrowed from the internet: http://www.dcmemorials.com/

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