Kurskode
hadoopdeva
Varighet
21 timer (vanligvis 3 dag inkludert pauser)
Krav
- comfortable with Java programming language (most programming exercises are in java)
- comfortable in Linux environment (be able to navigate Linux command line, edit files using vi / nano)
- a working knowledge of Hadoop.
Lab environment
Zero Install: There is no need to install hadoop software on students’ machines! A working hadoop cluster will be provided for students.
Students will need the following
- an SSH client (Linux and Mac already have ssh clients, for Windows Putty is recommended)
- a browser to access the cluster. We recommend Firefox browser
Oversikt
Apache Hadoop er et av de mest populære rammene for behandling av Big Data på klynger av servere. Dette kurset går inn på datahåndtering i HDFS, advanced Pig, Hive og HBase. Disse avanserte programmeringsteknikkene vil være fordelaktige for erfarne Hadoop utviklere.
Publikum : utviklere
Varighet: tre dager
Format: forelesninger (50%) og praktiske laboratorier (50%).
Machine Translated
Kursplan
Section 1: Data Management in HDFS
- Various Data Formats (JSON / Avro / Parquet)
- Compression Schemes
- Data Masking
- Labs : Analyzing different data formats; enabling compression
Section 2: Advanced Pig
- User-defined Functions
- Introduction to Pig Libraries (ElephantBird / Data-Fu)
- Loading Complex Structured Data using Pig
- Pig Tuning
- Labs : advanced pig scripting, parsing complex data types
Section 3 : Advanced Hive
- User-defined Functions
- Compressed Tables
- Hive Performance Tuning
- Labs : creating compressed tables, evaluating table formats and configuration
Section 4 : Advanced HBase
- Advanced Schema Modelling
- Compression
- Bulk Data Ingest
- Wide-table / Tall-table comparison
- HBase and Pig
- HBase and Hive
- HBase Performance Tuning
- Labs : tuning HBase; accessing HBase data from Pig & Hive; Using Phoenix for data modeling
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