Winston-Salem Apache Spark Training Course for Beginners

Call Now Enroll Now Email Us

Winston-Salem Apache Spark Training Course Summary

Join us for a 16 hours Instructor-led Apache Spark training course to be taught over 4 weeks, 8 sessions, 2 sessions per week, 2 hours per session.

  • All Published Ticket Prices are in US Dollars
  • The course will be taught in English language

Winston-Salem Apache Spark Training Course Schedule

Please choose from one of the dates in the table below to begin your enrollment :

Dates Weekly Schedule (US Pacific Time)* Price Add to Cart
Dec 04 to Jan 02 Sat/Sun 7:30 AM - 9:30 AM each day $1.00 Add to cart
Dec 06 to Dec 29 Mon/Wed 5:30 PM - 7:30 PM each day $1.00 Add to cart
Dec 07 to Dec 30 Tue/Thu 7:30 AM - 9:30 AM each day $1.00 Add to cart
Jan 08 to Jan 30 Sat/Sun 7:30 AM - 9:30 AM each day $1.00 Add to cart
Jan 10 to Feb 02 Mon/Wed 5:30 PM - 7:30 PM each day $1.00 Add to cart
Jan 11 to Feb 03 Tue/Thu 7:30 AM - 9:30 AM each day $1.00 Add to cart
Feb 05 to Feb 27 Sat/Sun 7:30 AM - 9:30 AM each day $1.00 Add to cart
Feb 07 to Mar 02 Mon/Wed 5:30 PM - 7:30 PM each day $1.00 Add to cart
Feb 08 to Mar 02 Tue/Thu 7:30 AM - 9:30 AM each day $1.00 Add to cart
Mar 14 to Apr 06 Mon/Wed 6:30 PM - 8:30 PM each day $1.00 Add to cart
Mar 15 to Apr 07 Tue/Thu 8:30 AM - 10:30 AM each day $1.00 Add to cart
Mar 19 to Apr 10 Sat/Sun 8:30 AM - 10:30 AM each day $1.00 Add to cart
*click on date/time hyperlink to add your location and find local date/time for first session
Dates and Weekly Schedule (US Pacific Time)* Price
Dec 04 to Jan 02
Sat/Sun 7:30 AM - 9:30 AM each day
$1.00
Enroll
Dec 06 to Dec 29
Mon/Wed 5:30 PM - 7:30 PM each day
$1.00
Enroll
Dec 07 to Dec 30
Tue/Thu 7:30 AM - 9:30 AM each day
$1.00
Enroll
Jan 08 to Jan 30
Sat/Sun 7:30 AM - 9:30 AM each day
$1.00
Enroll
Jan 10 to Feb 02
Mon/Wed 5:30 PM - 7:30 PM each day
$1.00
Enroll
Jan 11 to Feb 03
Tue/Thu 7:30 AM - 9:30 AM each day
$1.00
Enroll
Feb 05 to Feb 27
Sat/Sun 7:30 AM - 9:30 AM each day
$1.00
Enroll
Feb 07 to Mar 02
Mon/Wed 5:30 PM - 7:30 PM each day
$1.00
Enroll
Feb 08 to Mar 02
Tue/Thu 7:30 AM - 9:30 AM each day
$1.00
Enroll
Mar 14 to Apr 06
Mon/Wed 6:30 PM - 8:30 PM each day
$1.00
Enroll
Mar 15 to Apr 07
Tue/Thu 8:30 AM - 10:30 AM each day
$1.00
Enroll
Mar 19 to Apr 10
Sat/Sun 8:30 AM - 10:30 AM each day
$1.00
Enroll
*click on date/time hyperlink to add your location and find local date/time for first session

Course Overview

  • Apache Spark Architecture
  • How to use Spark with Scala
  • How to deploy Spark projects to the cloud Machine Learning with Spark

Features & Benefits

  • 4 weeks, 8 sessions, 16 hours of total Instructor-led and guided training
  • Training material, instructor handouts and access to useful resources on the cloud provided
  • Practical Hands-on Lab exercises provided
  • Real-life Scenarios

Prerequisites

There are no prerequisites to join in our Apache Spark Training. However, having prior knowledge of following concepts will be an added advantage:

  • Exposure to knowledge of databases, SQL (Structured query language).
  • Basic knowledge of object-oriented programming.
  • Knowledge of Scala.

Course Outline

  • Introduction to Spark
  • Spark Vs MapReduce
  • Spark Vs Hadoop
  • Spark Installation, Configuration, Shell
  • Spark and Resilient Distributed Datasets (RDD)
  • Batch and Real-Time Analytics with Apache Spark
  • Functional Programming
  • Spark Architecture
  • Collections
  • Object-Oriented Programming
  • Integrations
  • Spark Core
  • Persistence
  • Cassandra (NoSQL database)
  • Spark Integration with NoSQL (Cassandra) and Amazon EC2
  • Spark Streaming
  • Spark SQL
  • Spark MLLib
  • How to write and deploy Spark Applications
  • Spark Parallel Processing
  • Kafka
  • Spark performance
  • Scheduling and Partitioning

Refund Policy

  • 100% refund can be applied if request is initiated 24 hours before the 1st course session.
  • If a class is rescheduled/cancelled by the organizer, registered students will be offered a credit towards any future course or a 100% refund