Kurskode

hbasedev

Varighet

21 timer (vanligvis 3 dag inkludert pauser)

Krav

comfortable with Java programming language
comfortable in Java programming language (navigate Linux command line, edit files with vi / nano)
A Java IDE like Eclipse or IntelliJ

Lab environment:

A working HBase cluster will be provided for students. Students would need an SSH client and a browser to access the cluster.

Zero Install : There is no need to install HBase software on students’ machines!

Oversikt

Dette kurset introduserer HBase - en No SQL butikk på toppen av Hadoop . Kurset er beregnet på utviklere som skal bruke HBase til å utvikle applikasjoner, og administratorer som vil administrere HBase klynger.

Vi vil gå en utvikler gjennom HBase-arkitektur og datamodellering og applikasjonsutvikling på HBase. Den vil også diskutere bruk av MapReduce med HBase, og noen administrasjonsemner, relatert til ytelsesoptimalisering. Kurset er veldig praktisk med mange labøvelser.

Varighet : 3 dager

Publikum : Utviklere og administratorer

Machine Translated

Kursplan

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