1. …optimise your IT investments Warehousing for low latency analytics Philip Howard Research Director – Bloor Research

2. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 Agenda What are low latency analytics? The inverse quantity/latency relationship problem What types of application need them? What is required in query and analytic terms? What’s special about low latency analytics? What database structures and features will be useful?

3. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 What is low latency? A spectrum of query requirements typically ranging up to a few minutes in duration

4. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 The quantity/latency issue Typically: Large volumes to be ingested in (close to) real-time Often involve large quantities of historic data Analytics are often complex Analytics are often ad hoc High performance requirement photo by Amnemona

5. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 Low latency applications Social media, social networking, web comparison sites, recommendation engines …. Primarily about understanding customers and influencers Latency varies depending on requirements

6. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 Low latency applications On-line gaming: casinos and video gaming Typically about up/cross-selling but also fraud The latter tends to have lower latency requirements

7. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 Low latency applications Telecommunications Various applications including traffic analysis, mobile advertising (especially location specific analytics), re-pricing and fraud Can be very low latency e.g. mobile advertising

8. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 Low latency applications Real-time log and event management Particularly important (and very low latency) for monitoring and responding to security threats such as cyber attacks

9. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 Low latency applications Real-time web analytics Important to support on-line marketing campaigns and dropped shopping cart re-marketing Typically a few minutes latency is fine

10. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 Low latency applications Others include: Fraud prevention Capital markets Network monitoring Sensor-based applications …

11. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 Query and analytic requirements Often require complex analytics with: Large table scans Multi-way joins Correlated sub-queries … Often cannot be predicted in advance Even in monitoring environments may require scoring against a model

12. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 What’s special about low latency analytics? Not just about (real-time) load speeds and ingestion rates Not just about query performance Also about what’s in-between Having data available in memory before it is stored on disk Standardising the data – may be multiple formats Writing to disk

13. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 Database features High performing and scalable loading Trickle feed, micro-batch or CDC Agility (data sources) No indexes, summary tables etc. Avoid whole table scans Performance speed-up In-memory capabilities High availability

14. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010 Conclusion Analytic warehouses and marts for low latency applications have all the same requirements as for any other analytic environment But they also require not just high ingestion rates and fast query performance, but high performance in the intermediate step(s) between ingestion and reading data off disk

15. telling the Information Management story Confidential © Bloor Research 2009 telling the right story Confidential © Bloor Research 2010