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The need for a data warehouse appliance

The need for a data warehouse appliance

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  • 1. Data warehouse ApplianceThe Need for an Appliance<br />Shankar Radhakrishnan<br />HCL Technologies<br />
  • 2. State of data<br />Data driven business<br />Mine more, Collect more<br />Challenges<br />Need of the day<br />Rise of the machines<br />Features<br />Advantages<br />Key Players<br />Agenda<br />
  • 3. Data driven business<br />Businesses have been collecting informationall the time<br />Mine more == Collect more (& vice-versa)<br />Challenges<br />State of data<br />
  • 4. Applications<br />Social Data, Email, Blogs, Video clips, Product Listings<br />ERP, CRM, Databases, Internal Applications, Customer/Consumer facing products<br />Mobile<br />Context<br />Web, Customers, Products, Business Systems, Process and Services<br />Support Systems<br />CRM, SOA, Recommendation Systems/Processes, Data warehouses,Business Intelligence, BPM<br />Data driven business<br />
  • 5. Drivers<br />ROI<br />Customer Retention<br />Product Affinity<br />Market Trends<br />Research Analysis<br />Customer/Consumer Analytics<br />Data Intensive Processes<br />Clustering<br />Classification<br />Build Relationship<br />Regression<br />Types<br />Structured<br />Semi-structured<br />Unstructured<br />Mine more, Collect More<br />
  • 6. Growth is constant<br />Application complexities<br />Workload Requirements<br />Data growth<br />Infrastructure<br />Meet SLA’s<br />Delivery ROI<br />Reduce Risk<br />Challenges<br />
  • 7. System that can handle high volume data<br />System that can perform complex, analytical operations<br />Scalable<br />Rapid Accessibility<br />Rapid Deployment<br />Highly Available<br />Fault Tolerant<br />Secure<br />Need of the day<br />
  • 8. Rise of the machines<br />“A data warehouse appliance is an integrated system, which has hardware (processors and storage) and software(operating systems and database system) components, specifically optimized for data warehousing”<br />
  • 9. Designed to do one thing and one thing only<br />Processing optimized to handle high-volume of data<br />Data is process in parallel operations(mostly massively parallel operating units)<br />System is resilient to data-growth and operations<br />Highly tolerant to hardware and database failures<br />Highly available<br />Server units operates in isolation, so risk is local or less<br />Pre-tuned for high query performance<br />Features<br />
  • 10. Integrated architecture<br />More reporting and analytical capabilities<br />Flexibility<br />Less management (tuning and optimization)<br />Operational BI<br />Cost Reductions<br />Advantages<br />
  • 11. Key Players<br />
  • 12. Q&A<br />?<br />

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