Spark for Developers Schulung

Alle Preise zzgl. MwSt

Kurs Code

sparkdev

Dauer

21 hours (üblicherweise 3 Tage inklusive Pausen)

Voraussetzungen

PRE-REQUISITES

familiarity with either Java / Scala / Python language (our labs in Scala and Python)
basic understanding of Linux development environment (command line navigation / editing files using VI or nano)

Überblick

ZIELSETZUNG:

Dieser Kurs wird Apache Spark vorstellen. Die Schüler lernen, wie Spark in das Big Data Ökosystem passt und wie Spark für die Datenanalyse verwendet wird. Der Kurs behandelt die Spark-Shell für die interaktive Datenanalyse, Spark-Interna, Spark-APIs, Spark- SQL , Spark-Streaming sowie maschinelles Lernen und graphX.

PUBLIKUM:

Entwickler / Datenanalysten

Machine Translated

Schulungsübersicht

  1. Scala primer

    • A quick introduction to Scala
    • Labs : Getting know Scala
  2. Spark Basics

    • Background and history
    • Spark and Hadoop
    • Spark concepts and architecture
    • Spark eco system (core, spark sql, mlib, streaming)
    • Labs : Installing and running Spark
  3. First Look at Spark

    • Running Spark in local mode
    • Spark web UI
    • Spark shell
    • Analyzing dataset – part 1
    • Inspecting RDDs
    • Labs: Spark shell exploration
  4. RDDs

    • RDDs concepts
    • Partitions
    • RDD Operations / transformations
    • RDD types
    • Key-Value pair RDDs
    • MapReduce on RDD
    • Caching and persistence
    • Labs : creating & inspecting RDDs;   Caching RDDs
  5. Spark API programming

    • Introduction to Spark API / RDD API
    • Submitting the first program to Spark
    • Debugging / logging
    • Configuration properties
    • Labs : Programming in Spark API, Submitting jobs
  6. Spark SQL

    • SQL support in Spark
    • Dataframes
    • Defining tables and importing datasets
    • Querying data frames using SQL
    • Storage formats : JSON / Parquet
    • Labs : Creating and querying data frames; evaluating data formats
  7. MLlib

    • MLlib intro
    • MLlib algorithms
    • Labs : Writing MLib applications
  8. GraphX

    • GraphX library overview
    • GraphX APIs
    • Labs : Processing graph data using Spark
  9. Spark Streaming

    • Streaming overview
    • Evaluating Streaming platforms
    • Streaming operations
    • Sliding window operations
    • Labs : Writing spark streaming applications
  10. Spark and Hadoop

    • Hadoop Intro (HDFS / YARN)
    • Hadoop + Spark architecture
    • Running Spark on Hadoop YARN
    • Processing HDFS files using Spark
  11. Spark Performance and Tuning

    • Broadcast variables
    • Accumulators
    • Memory management & caching
  12. Spark Operations

    • Deploying Spark in production
    • Sample deployment templates
    • Configurations
    • Monitoring
    • Troubleshooting

Erfahrungsberichte

★★★★★
★★★★★

Verwandte Kategorien

Kombinierte Kurse

Sonderangebote

Sonderangebote Newsletter

Wir behandeln Ihre Daten vertraulich und werden sie nicht an Dritte weitergeben.
Sie können Ihre Einstellungen jederzeit ändern oder sich ganz abmelden.

EINIGE UNSERER KUNDEN

is growing fast!

We are looking for a good mixture of IT and soft skills in Austria!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
  • delivering consultancy
  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

To apply, please create your trainer-profile by going to the link below:

Apply now!

This site in other countries/regions