Wayne State University & DataStax: World's best data modeling tool for Apache Cassandra
3 likes•2,219 views
The document outlines a comprehensive data modeling methodology for Apache Cassandra, emphasizing the use of the KDM tool which automates complex tasks and reduces human error. It details the phases of data modeling, including conceptual, logical, and physical design, along with optimization strategies. Future work includes enhancements like materialized views and user-defined types to further support application workflows.
Wayne State University & DataStax: World's best data modeling tool for Apache Cassandra
- 1. World’s Best Data Modeling Tool for Apache Cassandra 1© 2015. All Rights Reserved. Artem ChebotkoAndrey Kashlev
- 2. 1 Cassandra Data Modeling Methodology 2 The KDM Tool 3 Live Demo: IoT 4 Live Demo: Media Cataloguing 5 Future Work 2© 2015. All Rights Reserved.
- 3. Data Modeling Process • Data requirements • Application requirements • Schema Design • Optimization 3© 2015. All Rights Reserved.
- 4. Cassandra Data Modeling Methodology © 2015. All Rights Reserved. 4 Conceptual Data Model Application Workflow Logical Data Model Physical Data Model Mapping Optimization
- 5. Methodology Models © 2015. All Rights Reserved. 5 Model Representation Conceptual Data Model ERD Application Workflow Model Graph Logical Data Model Chebotko Diagram Physical Data Model Chebotko Diagram, CQL
- 6. Methodology Protocols © 2015. All Rights Reserved. 6 • Conceptual-to-logical mapping – Mapping rules – Mapping patterns • Physical optimizations – Partition size analysis – Duplication factor analysis – Keys, aggregation, transactions, …
- 7. Example © 2015. All Rights Reserved. 7 SELECT timestamp, value FROM … WHERE location = ? AND parameter = ? AND timestamp > ? ORDER BY timestamp DESC n parameter value 1 timestampid location Sensor Measurementrecords
- 8. sensor_data location K parameter K timestamp C↓ id C↑ value 1 Example © 2015. All Rights Reserved. 8 SELECT timestamp, value FROM … WHERE location = ? AND parameter = ? AND timestamp > ? ORDER BY timestamp DESC n parameter value 1 timestampid location Sensor Measurementrecords Mapping Entity and Relationship Types
- 9. sensor_data location K parameter K timestamp C↓ id C↑ value sensor_data location K parameter K timestamp C↓ id C↑ value 1 2 Example © 2015. All Rights Reserved. 9 SELECT timestamp, value FROM … WHERE location = ? AND parameter = ? AND timestamp > ? ORDER BY timestamp DESC n parameter value 1 timestampid location Sensor Measurementrecords Mapping Equality Search Atributes
- 10. sensor_data location K parameter K timestamp C↓ id C↑ value sensor_data location K parameter K timestamp C↓ id C↑ value sensor_data location K parameter K timestamp C↑ id C↑ value 1 2 3 Example © 2015. All Rights Reserved. 10 SELECT timestamp, value FROM … WHERE location = ? AND parameter = ? AND timestamp > ? ORDER BY timestamp DESC n parameter value 1 timestampid location Sensor Measurementrecords Mapping Inequality Search Attributes
- 11. sensor_data location K parameter K timestamp C↓ id C↑ value sensor_data location K parameter K timestamp C↓ id C↑ value sensor_data location K parameter K timestamp C↑ id C↑ value sensor_data location K parameter K timestamp C↓ id C↑ value 1 2 3 4 Example © 2015. All Rights Reserved. 11 SELECT timestamp, value FROM … WHERE location = ? AND parameter = ? AND timestamp > ? ORDER BY timestamp DESC n parameter value 1 timestampid location Sensor Measurementrecords Mapping Ordering Attributes
- 12. sensor_data location K parameter K timestamp C↓ id C↑ value sensor_data location K parameter K timestamp C↓ id C↑ value sensor_data location K parameter K timestamp C↓ id C↑ value sensor_data location K parameter K timestamp C↑ id C↑ value sensor_data location K parameter K timestamp C↓ id C↑ value 1 2 3 4 5 Example © 2015. All Rights Reserved. 12 SELECT timestamp, value FROM … WHERE location = ? AND parameter = ? AND timestamp > ? ORDER BY timestamp DESC n parameter value 1 timestampid location Sensor Measurementrecords Mapping Key Attributes
- 13. Methodology Pros and Cons Correctness Completeness © 2015. All Rights Reserved. 13 Complexity Time investment
- 14. Human Errors Happen … © 2015. All Rights Reserved. 14
- 15. Automation © 2015. All Rights Reserved. 15 Complexity Time investment Human Error
- 16. 1 Cassandra Data Modeling Methodology 2 The KDM Tool 3 Live Demo: IoT 4 Live Demo: Media Cataloguing 5 Future Work 16© 2015. All Rights Reserved.
- 17. The KDM Tool • Streamlines the methodology • Guides the user • Automates data modeling tasks: – Conceptual-to-logical mapping – Physical optimization – CQL generation 17© 2015. All Rights Reserved.
- 18. KDM Automation Workflow 18© 2015. All Rights Reserved.
- 19. KDM Automation Workflow 19© 2015. All Rights Reserved. Design Conceptual Data Model Step1 Solution architect
- 20. KDM Automation Workflow 20© 2015. All Rights Reserved. Design Conceptual Data Model Specify Access Patterns Solution architect Step1 Step2 Solution architect
- 21. KDM Automation Workflow 21© 2015. All Rights Reserved. Design Conceptual Data Model Specify Access Patterns Generate Logical Data Models KDM Solution architect Step1 Step2 Automated Solution architect
- 22. KDM Automation Workflow 22© 2015. All Rights Reserved. Design Conceptual Data Model Specify Access Patterns Generate Logical Data Models Select Logical Data Model KDM Solution architect Step1 Step2 Step3Automated Solution architect Solution architect
- 23. KDM Automation Workflow 23© 2015. All Rights Reserved. Design Conceptual Data Model Specify Access Patterns Generate Logical Data Models Select Logical Data Model Generate Physical Data Model KDM Solution architect Step1 Step2 Step3Automated Automated Solution architect Solution architect KDM
- 24. KDM Automation Workflow 24© 2015. All Rights Reserved. Design Conceptual Data Model Specify Access Patterns Generate Logical Data Models Select Logical Data Model Generate Physical Data Model Configure Physical Data Model KDM Solution architect Step1 Step2 Step3 Step4Automated Automated Solution architect Solution architect Solution architect KDM
- 25. KDM Automation Workflow 25© 2015. All Rights Reserved. Design Conceptual Data Model Specify Access Patterns Generate Logical Data Models Select Logical Data Model Generate Physical Data Model Configure Physical Data Model Generate Physical Schema KDM Solution architect Step1 Step2 Step3 Step4Automated Automated Automated Solution architect Solution architect Solution architect KDM KDM
- 26. KDM Automation Workflow 26© 2015. All Rights Reserved. Design Conceptual Data Model Specify Access Patterns Generate Logical Data Models Select Logical Data Model Generate Physical Data Model Configure Physical Data Model Generate Physical Schema Download CQL Script KDM Solution architect Step1 Step2 Step3 Step4 Step5Automated Automated Automated Solution architect Solution architect Solution architect Solution architect KDM KDM
- 27. 1 Cassandra Data Modeling Methodology 2 The KDM Tool 3 Live Demo: IoT 4 Live Demo: Media Cataloguing 5 Future Work 27© 2015. All Rights Reserved.
- 28. 28
- 29. 1 Cassandra Data Modeling Methodology 2 The KDM Tool 3 Live Demo: IoT 4 Live Demo: Media Cataloguing 5 Future Work 29© 2015. All Rights Reserved.
- 30. © 2015. All Rights Reserved. 30
- 31. 31© 2015. All Rights Reserved. • KDM: – automates most complex tasks – eliminates human error – simplifies data modeling – guides – is a general purpose tool Summary
- 32. 32© 2015. All Rights Reserved. • build new data models • verify existing data models • teach/learn data modeling How Can KDM Help You?
- 33. 1 Cassandra Data Modeling Methodology 2 The KDM Tool 3 Live Demo: IoT 4 Live Demo: Media Cataloguing 5 Future Work 33© 2015. All Rights Reserved.
- 34. Future Work • Materialized views © 2015. All Rights Reserved. 34
- 35. Future Work • Materialized views • User Defined Types © 2015. All Rights Reserved. 35
- 36. Future Work • Materialized views • User Defined Types • Analysis and physical optimization © 2015. All Rights Reserved. 36
- 37. Future Work • Materialized views • User Defined Types • Analysis and physical optimization • Support for application workflow design © 2015. All Rights Reserved. 37
- 38. Future Work • Materialized views • User Defined Types • Analysis and physical optimization • Support for application workflow design • Support for Chebotko Diagrams © 2015. All Rights Reserved. 38
- 39. Sign up for KDM – it’s FREE! • KDM: kdm.dataview.org • Methodology: academy.datastax.com • Planet Cassandra blog posts: – KDM: An Automated Data Modeling Tool for Apache Cassandra, Pt. 1, Pt. 2 • Artem Chebotko, Andrey Kashlev, Shiyong Lu, “A Big Data Modeling Methodology for Apache Cassandra”, IEEE International Congress on Big Data, 2015. © 2015. All Rights Reserved. 39
- 40. Acknowledgements • Andrey Kashlev would like to thank: – Dr. Shiyong Lu – Anthony Piazza • Artem Chebotko would like to thank: – Anthony Piazza – Patrick McFadin – Jonathan Ellis – Tim Berglund © 2015. All Rights Reserved. 40
- 41. Thank you