Apache Spark Training Course for Beginners
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Email UsApache Spark Training Course for Beginners Summary
Join us for a 16 hours Instructor-led Microsoft Excel 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
Apache Spark Training Course for Beginners 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 4 to Dec 26 | Sat/Sun 7:30 AM - 9:30 AM each day | $99.00 | Add to cart |
| Dec 6 to Dec 29 | Mon/Wed 5:30 PM - 7:30 PM each day | $99.00 | Add to cart |
| Dec 7 to Dec 30 | Tue/Thu 7:30 AM - 9:30 AM each day | $99.00 | Add to cart |
| Jan 8 to Jan 30 | Sat/Sun 7:30 AM - 9:30 AM each day | $99.00 | Add to cart |
| Jan 10 to Feb 2 | Mon/Wed 5:30 PM - 7:30 PM each day | $99.00 | Add to cart |
| Jan 11 to Feb 3 | Tue/Thu 7:30 AM - 9:30 AM each day | $99.00 | Add to cart |
| Feb 5 to Feb 27 | Sat/Sun 7:30 AM - 9:30 AM each day | $99.00 | Add to cart |
| Feb 7 to Mar 2 | Mon/Wed 5:30 PM - 7:30 PM each day | $99.00 | Add to cart |
| Feb 8 to Mar 3 | Tue/Thu 7:30 AM - 9:30 AM each day | $99.00 | Add to cart |
| Mar 14 to Apr 6 | Mon/Wed 6:30 PM - 8:30 PM each day | $99.00 | Add to cart |
| Mar 15 to Apr 7 | Tue/Thu 8:30 AM - 10:30 AM each day | $99.00 | Add to cart |
| Mar 19 to Apr 10 | Wed/Sun 8:30 AM - 10:30 AM each day | $99.00 | 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 |
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| Dec 4 to Dec 26 Sat/Sun 7:30 AM - 9:30 AM each day |
$99.00
Enroll |
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| Dec 6 to Dec 29 Mon/Wed 5:30 PM - 7:30 PM each day |
$99.00
Enroll |
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| Dec 7 to Dec 30 Tue/Thu 7:30 AM - 9:30 AM each day |
$99.00
Enroll |
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| Jan 8 to Jan 30 Sat/Sun 7:30 AM - 9:30 AM each day |
$99.00
Enroll |
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| Jan 10 to Feb 2 Mon/Wed 5:30 PM - 7:30 PM each day |
$99.00
Enroll |
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| Jan 11 to Feb 3 Tue/Thu 7:30 AM - 9:30 AM each day |
$99.00
Enroll |
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| Feb 5 to Feb 27 Sat/Sun 7:30 AM - 9:30 AM each day |
$99.00
Enroll |
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| Feb 7 to Mar 2 Mon/Wed 5:30 PM - 7:30 PM each day |
$99.00
Enroll |
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| Feb 8 to Mar 3 Tue/Thu 7:30 AM - 9:30 AM each day |
$99.00
Enroll |
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| Mar 14 to Apr 6 Mon/Wed 6:30 PM - 8:30 PM each day |
$99.00
Enroll |
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| Mar 15 to Apr 7 Tue/Thu 8:30 AM - 10:30 AM each day |
$99.00
Enroll |
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| Mar 19 to Apr 10 Wed/Sun 8:30 AM - 10:30 AM each day |
$99.00
Enroll |
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| *click on date/time hyperlink to add your location and find local date/time for first session | |||
Course Objectives
- Apache Spark Architecture
- How to use Spark with Scala
- How to deploy Spark projects to the cloud Machine Learning with Spark
Features and 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