Overview
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Learn about use cases and best practices for architecting batch mode applications using big data technologies such as Hive and Apache Spark.
Syllabus
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Introduction
- Welcome
- Platforms vs. applications
- Software architecture vs. design
- Notes on use cases
- Big data characteristics
- Traditional vs. big data applications
- Big data application modules
- Technologies for big data
- Strategy for big data apps
- DW: Analyze the problem
- DW: Outline the solution
- DW: Consider technologies
- DW: Lay out the architecture
- DW: Design key elements
- Best practices: Data acquisition
- LA: Analyze the problem
- LA: Outline the solution
- LA: Consider technologies
- LA: Lay out the architecture
- LA: Design key elements
- Best practices: Data transport
- OA: Analyze the problem
- OA: Outline the solution
- OA: Consider technologies
- OA: Lay out the architecture
- OA: Design key elements
- Best practices: Data processing
- C360: Analyze the problem
- C360: Outline the solution
- C360: Consider technologies
- C360: Lay out the architecture
- C360: Design key elements
- Best practices: Data storage
- CA: Analyze the problem
- CA: Outline the solution
- CA: Consider technologies
- CA: Lay out the architecture
- CA: Design key elements
- Best practices: Data service
- Next steps
