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SAS Modernization architectures - Big Data Analytics

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Big Data Analytics

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SAS Modernization architectures - Big Data Analytics

  1. 1. IT STRATEGY FOR SCALABLE ANALYTICS, Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . MODERN DATA ARCHITECTURES
  2. 2. Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . MODERN ARCHITECTURES
  3. 3. Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . STUNNING FACT Making the Modern World: Materials and Dematerialization - Vaclav Smil
  4. 4. Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d .
  5. 5. Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . Shift in Mindset Scarcity • Technology constrained • Process-centric • Focus on cost control Everything is forbidden unless it is permitted Abundance • Focus on value • Discovery-centric • Technology empowered Everything is permitted unless it is forbidden
  6. 6. Trends Big Data, Storage, Hadoop & In-memory Technology THE PERFECT STORM: STORAGE TECHNOLOGY COSTS AND CPU SPEED Cost of Storage, Memory, Computing • In 2000 a GB of Disk $17 today < $0.07 • In 2000 a GB of Ram $1800 today < $1 • In 2009 a TB of RDBMS was $70K today < $ 20K Cost per Terabyte $- $20 $40 $60 $80 $100 Hadoop Microsoft PDW Oracle Greenplum Teradata Vertica Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . Thousands Today 2009
  7. 7. Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . MODERN REALITY • Commoditization • Architectures • Scale Infrastructure •New Complex Streams • Perishable Considerations • Cost Data •New Category of Business Problems • Analytical Algorithms •Operationalization Analytics
  8. 8. Finding treasures in unstructured data like social media or survey tools that could uncover insights about consumer sentiment Copyright © 2011, SAS Inst itute Inc. Al l rights reserved. 8 Leveraging historical data to drive better insight into decision-making for the future Mine transaction databases for data of spending patterns that indicate a stolen card.. Analyze massive amounts of data in order to accurately identify areas likely to produce the most profitable results FORECASTING DATA MINING TEXT ANALYTICS OPTIMIZATION STATISTICS ADVANCED ANALYTICS INFORMATION MANAGEMENT
  9. 9. Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . CURRENT TRENDS IN ANALYTICS Complex Business Problems Are Driving Analytics Innovation Speed Will Be Of Essence Leverage Analytics To Unlock The Information Contained In Unstructured Data Operationalizing Analytics
  10. 10. CURRENT AND FUTURE ARCHITECTURES Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d .
  11. 11. WHERE WE ARE TODAY? SETTING THE SCENE Operational Data Sources Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . EDW Data Mart Data Mart Analytic Mart Analytic Mart BI and Analytics Unstructured, Semi-structured and Streaming data (i.e. sensor data) handled often outside the Warehouse flow
  12. 12. WHERE DOES HADOOP FIT? HADOOP AS A “NEW DATA” STORE Operational Data Sources Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . EDW Data Mart Data Mart Analytic Mart Analytic Mart BI and Analytics
  13. 13. WHERE DOES HADOOP FIT? HADOOP AS AN ADDITIONAL INPUT TO THE EDW Operational Data Sources Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . EDW Data Mart Data Mart Analytic Mart Analytic Mart Analytic Mart Data Mart BI and Analytics
  14. 14. WHERE DOES HADOOP FIT? Operational Data Sources EDW Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . HADOOP DATA PLATFORM AS A “STAGING LAYER” AS PART OF A “DATA LAKE” – Downstream stores could be Hadoop, data appliances or an RDBMS Data Mart Data Mart Analytic Mart Analytic Mart BI and Analytics
  15. 15. Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . SAS BIG DATA STRATEGY – SAS AREAS 15
  16. 16. SAS & HADOOP SAS® WITHIN THE HADOOP ECOSYSTEM Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . SAS Metadata Base SAS & SAS/ACCESS® to Hadoop™ Impala Next-Gen SAS® User User Interface Metadata Data Access Data Processing File System SAS® User SAS® LASR™ Analytic Server SAS® High- Performance Analytic Procedures MPI Based HDFS Pig Map Reduce SAS® Visual Analytics In-Memory Data Access SAS® Enterprise Miner™ SAS® Data Integration SAS® Enterprise Guide® Hive SAS Embedded Process Accelerators SAS® In-Memory Statistics for Haodop
  17. 17. IN SUMMARY SAS ENABLES THE ENTIRE LIFECYCLE AROUND HADOOP SAS Visual Analytics Decision Manager SAS Scoring Accelerator for Hadoop SAS Code Accelerator for Hadoop Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . IDENTIFY / FORMULATE PROBLEM DATA PREPARATION DATA EXPLORATION TRANSFORM & SELECT BUILD MODEL VALIDATE MODEL DEPLOY MODEL EVALUATE / MONITOR RESULTS SAS Visual Analytics SAS Visual Statistics SAS In-Memory Statistics for Hadoop Done using either the Data Preparation, Data Exploration or Build Model Tools SAS High Performance Analytics Offerings supported by relevant clients like SAS Enterprise Miner, SAS/STAT etc. Decision Manager Done using either the Data Preparation, Data Exploration or Build Model Tools
  18. 18. Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . SAS® VISUAL ANALYTICS A SINGLE SOLUTION FOR DATA DISCOVERY, VISUALIZATION, ANALYTICS AND REPORTING
  19. 19. SAS® VISUAL ANALYTICS Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . EXAMPLE: TEXT ANALYSIS GIVES YOU INSIGHT TO CUSTOMER EXPERIENCE AND OPINION VISUALIZATION POWERED BY SAS ANALYTICS Analytics applied to text provides real MEANING
  20. 20. VISUALIZATION EXAMPLES Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d .
  21. 21. Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . SAS® VISUAL STATISTICS
  22. 22. DATA TO DECISION LIFECYCLE Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . SAS® Visual Statistics MANAGE DATA COMPETITIVE ADVANTAGE TEXT EXPLORE DATA DEVELOP MODELS DEPLOY & MONITOR
  23. 23. APPLICATION AREAS Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . Segmentation Classification Prediction Ad-hoc Discovery Data Preparation
  24. 24. SAS IN-MEMORY STATISTICS FOR HADOOP Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d .
  25. 25. SAS® IN-MEMORY STATISTICS FOR HADOOP Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . WHY IT IS IMPORTANT? SPEED Multi-user interactive analytics environment for increased productivity Proven state-of-the-art statistical algorithms and machine learning techniques Highly scalable, in-memory environment grows easily as needed Memory and data efficient for a significant reduction of data latency to rapidly analyze large and complex data in Hadoop PRECISION SCALABLE INTERACTIVE
  26. 26. Copyr i g ht © 2013, SAS Ins t i tut e Inc . Al l r ights reser ve d . sas.com

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