> > > AAT Detailed outline

Apache Accumulo Training (AAT)

Course Description Schedule Course 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
 

Accessing our website tells us you are happy to receive all our cookies. However you can change your cookie settings at any time. Find out more.   Got it!