Apache Spark Fundamentals E-Learning Kurs
€139,00
€159,00
Informationen
Apache Spark Fundamentals E-learning
Bestel deze unieke E-learning cursus Apache Spark Fundamentals Topics online, 1 jaar 24/ 7 toegang tot rijke interactieve video’s, spraak, voortgangsbewaking door rapportages en testen.
Kursinhalt
Apache Spark Fundamentals
Programming and Deploying Apache Spark Applications
- start the course
- describe Apache Spark and the main components of a Spark application
- download and install Apache Spark on Windows 8.1 Pro N
- download and install Apache Spark on Mac OS X Yosemite
- download and install Java Development Kit or JDK 8 and build Apache Spark using Simple Build Tool or SBT on Mac OS X Yosemite
- use the Spark shell for analyzing data interactively
- link an application to Spark
- create a SparkContext to initialize Apache Spark
- introduce Resilient Distributed Datasets or RDDs and create a parallelized collection to generate an RDD
- load external datasets to create Resilient Distributed Datasets or RDDs
- distinguish transformations and actions, describe some of the transformations supported by Spark, and use transformations
- describe some of the actions supported by Spark and use the actions
- use anonymous function syntax and use static methods in a global singleton to pass functions to Spark
- work with key-value pairs
- persist Spark RDDs
- use broadcast variables in a Spark operation
- use accumulators in Spark operations
- use different formats for loading and saving Spark data
- use basic Spark SQL for data queries in a Spark application
- use basic Spark GraphX to work with graphs in a Spark application
- describe how Spark applications run in a cluster
- deploy a Spark application to a cluster
- unit test a Spark application
- describe how to monitor a Spark application or cluster with Web UIs
- describe options for scheduling resources across applications in a Spark cluster
- describe how to enable a fair scheduler for fair sharing within an application in a Spark cluster
- configure fair scheduler pool properties for a Spark context within a cluster
- practice programming and deploying a Spark application to a cluster
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Eigenschaften
Produkt
Allgemeine Eigenschaften
| Studiengebühr: | 5 Stunden Dauer plus Übungen (variabel) |
| Sprache: | Englisch |
| Online-Zugang: | 1 Jahr |
| Teilnahmebescheinigung: | Ja, nach 70% der erfolgreichen Einsätze |
| Fortschrittsüberwachung: | Ja |
| Geeignet für Handys: | Ja |
| Preisgekröntes E-Learning: | Ja |
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