Advanced Hadoop for Developers Training Cursus

  1. Big Data Training
  2. Hadoop Training
  3. Advanced Hadoop for Developers Training Cursus

Course Code

hadoopdeva

Duration

21 hours (usually 3 days including breaks)

Requirements

  • 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

Overview

Apache Hadoop is een van de populairste kaders voor het verwerken van Big Data op clusters van servers. Deze cursus gaat in op gegevensbeheer in HDFS, geavanceerde Pig, Hive en HBase. Deze geavanceerde programmeertechnieken zullen voordelig zijn voor ervaren Hadoop ontwikkelaars.

Publiek : ontwikkelaars

Duur: drie dagen

Formaat: hoorcolleges (50%) en hands-on labs (50%).

Machine Translated

Course Outline

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

Getuigenissen

★★★★★
★★★★★

Related Categories

Related Courses

Alluxio: Unifying Disparate Storage SystemsAdministrator Training for Apache HadoopApache Hadoop: Manipulation and Transformation of Data PerformanceDatameer for Data AnalystsHadoop AdministrationHadoop For AdministratorsHadoop for Business AnalystsHadoop for Developers (4 days)Hadoop for Developers and AdministratorsHadoop for Project ManagersHadoop Administration on MapRHBase for DevelopersApache Avro: Data Serialization for Distributed ApplicationsSamza for Stream ProcessingTigon: Real-time Streaming for the Real World

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