Lightning Talk: Real-Time Analytics from MongoDB
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The document discusses different architectures for performing analytics on MongoDB data, including connecting directly (native), using a semantic layer for simplified access, data federation to rapidly blend data, and moving and combining data using ETL. It provides examples of use cases that each architecture may be suitable for and notes the pros and cons of each approach. The presentation aims to demonstrate that diverse use cases require diverse architectures when performing analytics on MongoDB data.
Lightning Talk: Real-Time Analytics from MongoDB
- 1. Jaspersoft MongoDB Analytics Diverse Use Cases – Diverse Architectures Ben Connors Worldwide Head of Alliances © Copyright 2000-2014 TIBCO Software Inc.
- 2. Agenda Example MongoDB use cases and analytics MongoDB Analytics Architectures Advantages Challenges Q & A ©2014 TIBCO Corporation . 2
- 3. 3 Connecting to MongoDB ©2014 TIBCO Corporation . Different access techniques to match diverse requirements Use each technique individually or combine the ones you need
- 4. 4 Example MongoDB Use Cases Historical Pattern Analysis Trends in sentiment analysis Seasonality of searches Operational Reporting Clickstream analysis Sensor data Content management analysis Data Exploration Research Causal analysis Multi-Source Analysis Revenue patterns correlating to external factors Political event reaction Pure science ©2014 TIBCO Corporation .
- 5. Diverse Users ©2014 TIBCO Corporation . 5
- 6. Fast Insights “Success in the Big Data era is about more than size. It’s about getting insight from these huge data sets more quickly” Doug Henschen InformationWeek ©2014 TIBCO Corporation . 6
- 7. Jaspersoft BI High-Level Architecture 7 ©2014 TIBCO Corporation.
- 8. Native Direct Access Native Native connectors enable reporting without batch processing or moving data ©2014 TIBCO Corporation . 8
- 9. Native Direct Access Pros/Cons Pros Cons Leverage full underlying functionality Limited tool choices Query Latency (depends on type) Memory limits, fault tolerance No bulk movement of data Security E.g. Operational Reporting • Clickstream analysis • Sensor data • Geospatial analytics ©2014 TIBCO Corporation . 9
- 10. Semantic Layer for Simplified Access Enable self-service BI by defining a semantic layer on top of your MongoDB and other sources ©2014 TIBCO Corporation . 10
- 11. Semantic Layer Pros/Cons Pros Cons Simplified access for users Performance overhead Self-service, ad hoc No access to underlying functionality No bulk movement of data Low latency queries E.g. Data Exploration • Research • Causal analysis ©2014 TIBCO Corporation . 11
- 12. Data Federation for Rapid Blending Combine relational sources with MongoDB without copying or moving data using the a Data Virtualization engine ©2014 TIBCO Corporation . 12
- 13. Data Federation Pros/Cons Pros Cons Simplified access for users Performance overhead Self-service No access to underlying functionality No bulk movement of data Network overhead at query time Low latency queries Quickly (& cheaply) combine MongoDB + operational data for better insights E.g. Multi-Source Analysis • Revenue patterns correlating to external factors • Political event reaction • Pure science • Operational + CRM data ©2014 TIBCO Corporation . 13
- 14. Move & Combine Data Using ETL ETL Jobs connect Big Data, relational and other sources into a single data warehouse ©2014 TIBCO Corporation . 14
- 15. ETL Pros/Cons Pros Cons Full RDBMS functionality Added expense for software Low latency queries Very high latency ETL process Self-service No access to underlying functionality No network overhead at query time Bulk movement of data Maintain use of SQL tools Added operational complexity Insert data cleansing process Combine multiple data sources E.g. Historical Pattern Analysis • Trends in sentiment analysis • Seasonality of searches • Combine disparate data patterns ©2014 TIBCO Corporation . 15
- 16. Demo ©2014 TIBCO Corporation . 16
- 17. Summary Multiple Use Cases = Multiple Technical Approaches Native Semantic layer Federated ETL ©2014 TIBCO Corporation . 17
- 18. Try Out Jaspersoft Easy Download 30-day Evaluation at Jaspersoft.com Connect to your own data Go to Jaspersoft.com/getting-started Easier Try the Hosted version – NO INSTALLATION! Play with sample reports & data Go to Jaspersoft.com/jaspersoft-live-trial ©2014 Jaspersoft Corporation. 18