Apache Spark in the Cloud Treningskurs

Kurskode

sparkcloud

Varighet

21 timer (vanligvis 3 dag inkludert pauser)

Krav

Programing skills (preferably python, scala)

SQL basics

Oversikt

Apache Spark læringskurve øker sakte i begynnelsen, det krever mye krefter for å komme tilbake. Dette kurset tar sikte på å hoppe gjennom den første tøffe delen. Etter å ha tatt dette kurset vil deltakerne forstå det grunnleggende om Apache Spark , de vil tydelig differensiere RDD fra DataFrame, de vil lære Python og Scala API, de vil forstå eksekutører og oppgaver, etc. I tillegg til å følge beste praksis fokuserer dette kurset sterkt på skyutplassering, Databricks og AWS. Studentene vil også forstå forskjellene mellom AWS EMR og AWS Glue, en av de siste gnisttjenestene til AWS.

PUBLIKUM:

Data Engineer, DevOps , Data Scientist

Machine Translated

Kursplan

 

Introduction:

  • Apache Spark in Hadoop Ecosystem
  • Short intro for python, scala

Basics (theory):

  • Architecture
  • RDD
  • Transformation and Actions
  • Stage, Task, Dependencies

Using Databricks environment understand the basics (hands-on workshop):

  • Exercises using RDD API
  • Basic action and transformation functions
  • PairRDD
  • Join
  • Caching strategies
  • Exercises using DataFrame API
  • SparkSQL
  • DataFrame: select, filter, group, sort
  • UDF (User Defined Function)
  • Looking into DataSet API
  • Streaming

Using AWS environment understand the deployment (hands-on workshop):

  • Basics of AWS Glue
  • Understand differencies between AWS EMR and AWS Glue
  • Example jobs on both environment
  • Understand pros and cons

Extra:

  • Introduction to Apache Airflow orchestration

Testimonials

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