Section 1: Introduction to Big Data & NoSQL
Big Data ecosystem
NoSQL overview
CAP theorem
When is NoSQL appropriate
Columnar storage
HBase and NoSQL
Section 2 : HBase Intro
Concepts and Design
Architecture (HMaster and Region Server)
Data integrity
HBase ecosystem
Lab : Exploring HBase
Section 3 : HBase Data model
Namespaces, Tables and Regions
Rows, columns, column families, versions
HBase Shell and Admin commands
Lab : HBase Shell
Section 3 : Accessing HBase using Java API
Introduction to Java API
Read / Write path
Time Series data
Scans
Map Reduce
Filters
Counters
Co-processors
Labs (multiple) : Using HBase Java API to implement time series , Map Reduce, Filters and counters.
Section 4 : HBase schema Design : Group session
students are presented with real world use cases
students work in groups to come up with design solutions
discuss / critique and learn from multiple designs
Labs : implement a scenario in HBase
Section 5 : HBase Internals
Understanding HBase under the hood
Memfile / HFile / WAL
HDFS storage
Compactions
Splits
Bloom Filters
Caches
Diagnostics
Section 6 : HBase installation and configuration
hardware selection
install methods
common configurations
Lab : installing HBase
Section 7 : HBase eco-system
developing applications using HBase
interacting with other Hadoop stack (MapReduce, Pig, Hive)
frameworks around HBase
advanced concepts (co-processors)
Labs : writing HBase applications
Section 8 : Monitoring And Best Practices
monitoring tools and practices
optimizing HBase
HBase in the cloud
real world use cases of HBase
Labs : checking HBase vitals
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