Apache Accumulo Training (AAT) – Outline

Detailed Course Outline

Module 1: Introduction to Accumulo

• NoSQL concepts
• Other NoSQL datastores
• What is special about Accumulo: design goals and implementation

Module 2: Installation and quick start

• Environment pre-requisits
• Accumulo configuration
• Process control scripts
• Shell and monitoring tools
• Lab

Module 3: Accumulo architecture

• Key/Value spaces
• Range scans and filtering
• Tables and tablets
• Internal Accumulo communication
• Anatomy of reads and writes

Module 4: Writing and reading with API

• Rows keys, row values
• Mutations
• Instances and connectors
• Batch operations: Scanner, BatchWriter, BatchScanner
• Lab

Module 5: Accumulo design patterns

• How to present your design
• Flexible schemas
• Use of indexing
• Single-entity tables
• Unique keys
• Design lab
• Time series data
• Use of denormalization
• Joins and pre-joins
• Indices
• Teams lab

Module 6: Hadoop integration

• Using Accumulo with Hadoop and other Hadoop echosystem tools
• Imitating relational operations
• Client-side iterators
• Lab

Module 7: Server-side optimizations

• Iterators
• Constraints
• Initial load (bulk load)
• Lab

Module 8: Cells and partitions

• Domain-specific autorization
• Wide vs tall
• Reasoning about locality

Module 9: Data retrieval patterns

• Statistics
• Query time optimization
• Partitioned joins

Module 10: Data science with Accumulo, conclusion

• Graph search
• Machine learning
• Geo information
• Administration and performance optimization