Zeppelin for Interactive Data Analytics Treningskurs

  1. Big Data Trening
  2. Apache Zeppelin Trening
  3. Zeppelin for Interactive Data Analytics Treningskurs

Kurskode

zeppelin

Varighet

14 timer (vanligvis 2 dag inkludert pauser)

Krav

  • An understanding of big data concepts
  • Experience with Spark and Hadoop
  • Experience with the command line

Oversikt

Apache Zeppelin er en nettbasert notisbok for å fange, utforske, visualisere og dele Hadoop og Spark-baserte data.

Denne instruktørledede liveopplæringen introduserer konseptene bak interaktiv dataanalyse og leder deltakerne gjennom distribusjonen og bruken av Zeppelin i et enkeltbruker- eller flerbrukermiljø.

Ved slutten av denne opplæringen vil deltakerne kunne:

  • Installer og konfigurer Zeppelin
  • Utvikle, organisere, utføre og dele data i et nettleserbasert grensesnitt
  • Visualiser resultater uten å referere til kommandolinjen eller klyngedetaljene
  • Utfør og samarbeid om lange arbeidsflyter
  • Arbeid med noen av en rekke plug-in-språk / databehandlings-backends, for eksempel Scala (med Apache Spark ), Python (med Apache Spark ), Spark SQL , JDBC, Markdown og Shell.
  • Integrer Zeppelin med Spark, Flink og Map Reduce
  • Sikre flerbrukerforekomster av Zeppelin med Apache Shiro

Publikum

  • Dataingeniører
  • Dataanalytikere
  • Data forskere
  • Programvareutviklere

Kursets format

  • Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse

Machine Translated

Kursplan

Introduction

Installing and Configuring Zeppelin

Overview of Zeppelin Features and Architecture

Navigating the Browser Interface

Understanding the Data Analysis Workflow

Organizing Data for Analysis

Visualizing Data

Sharing Data and Collaborating with Other Analysists

Working with Plug-ins

Backend Data Processing

Working with Scala and Apache Spark

Working with Python and Apache Spark

Working with Spark SQL

Working with JDBC

Using Markdown and Shell

Integrating Zeppelin with Spark, Flink and Map Reduce

Setting up and Securing Multi-user Instances

Troubleshooting

Summary and Conclusion

Testimonials

★★★★★
★★★★★

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