Apache Spark Programming (Spark 105) 3-day Onsite Public Class [NY Pass]

$2,500.00

3-day pass for April 03 – 05 New York / Tristate Area Apache Spark™ for Machine Learning and Data Science Onsite Class

SKU: SPARK105NYAPR Category: Tags: , , , , ,

Description

CLASS DATE:

April 03 – 05
9:00 AM – 5:00 PM (Eastern Time)

LOCATION:
WeWork
500 7th Avenue
New York, New York 10018

 

OVERVIEW

This ​course ​is ​designed ​for ​data ​engineers, ​analysts, ​architects; ​software ​engineers; ​IT ​operations; ​and ​technical ​managers ​interested ​in ​a ​thorough, ​hands-on ​overview ​of ​Apache ​Spark. ​ ​This ​course ​covers ​the ​same ​material ​as ​our ​three-day ​Apache ​Spark ​Programming ​course.

The ​course ​covers ​the ​core ​APIs ​for ​using ​Spark, ​fundamental ​mechanisms ​and ​basic ​internals ​of ​the ​framework, ​SQL ​and ​other ​high-level ​data ​access ​tools, ​as ​well ​as ​Spark’s ​streaming ​capabilities ​and ​machine ​learning ​APIs.

Each ​topic ​includes ​slide ​and ​lecture ​content ​along ​with ​hands-on ​use ​of ​Spark ​through ​an ​elegant ​web-based ​notebook ​environment. ​Inspired ​by ​tools ​like ​IPython/Jupyter, ​notebooks ​allow ​attendees ​to ​code ​jobs, ​data ​analysis ​queries, ​and ​visualizations ​using ​their ​own ​Spark ​cluster, ​accessed ​through ​a ​web ​browser. ​All ​class ​code ​is ​directly ​usable ​with ​pure ​open-source ​Spark ​or ​any ​commercial ​Spark ​distribution.

LEARNING OBJECTIVES

After ​taking ​this ​class ​you ​will ​be ​able ​to:

• Describe ​Spark’s ​fundamental ​mechanics
• Use ​the ​core ​Spark ​APIs ​to ​operate ​on ​data
• Articulate ​and ​implement ​typical ​use ​cases ​for ​Spark
• Build ​data ​pipelines ​with ​SparkSQL ​and ​DataFrames
• Analyze ​Spark ​jobs ​using ​the ​UIs ​and ​logs
• Create ​Streaming ​and ​Machine ​Learning ​jobs

MODULES

• Spark ​Overview
• RDD ​Fundamentals
• SparkSQL ​and ​DataFrames
• Spark ​Job ​Execution
• Cluster ​Architectures ​for ​Spark
• Intro ​to ​Spark ​Streaming
• Machine ​Learning ​Basics

REQUIREMENTS

All ​participants ​will ​need ​a ​laptop ​with ​updated ​versions ​of ​Chrome ​or ​Firefox ​(Internet ​Explorer ​and ​Safari ​are ​not ​supported) ​

 

Apache, Apache Spark and Spark are trademarks of the Apache Software Foundation.

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