Apache Spark training in Tampa, FL | End to End Spark Implementation training | Deploying Spark Applications, RDD, Spark Machine Learning Libraries (Spark MLib) Training | Spark Core, Spark SQL Training

Apache Spark training in Tampa, FL | End to End Spark Implementation training | Deploying Spark Applications, RDD, Spark Machine Learning Libraries (Spark MLib) Training | Spark Core, Spark SQL Training

In this course we start at foundational level with Apache Spark technical essentials where you can learn the foundations of Apache Spark, master real-time data processing using Spark streaming, Spark SQL, Spark Machine Learning Libraries (Spark MLib).




Course Schedule



View Detailed Weekly Schedule at the bottom of this event description




Prerequisites



  • Exposure to knowledge of databases, SQL (Structured query language).

  • Basic knowledge of object-oriented programming.

  • Knowledge of Scala.




Course Features



  • 4 weeks, 8 sessions, 16 hours of total LIVE Instruction

  • Training material, instructor handouts and access to useful resources on the cloud provided

  • Practical Hands on Lab exercises on cloud workstations provided

  • Actual code and scripts provided

  • Real-life Scenarios




Course Outline



  1. Introduction to Spark

  2. Spark Vs MapReduce

  3. Spark Vs Hadoop

  4. Spark Installation, Configuration, Shell

  5. Spark and Resilient Distributed Datasets (RDD)

  6. Batch and Real-Time Analytics with Apache Spark

  7. Functional Programming

  8. Spark Architecture

  9. Collections

  10. Object-Oriented Programming

  11. Integrations

  12. Spark Core

  13. Persistence

  14. Cassandra (NoSQL database)

  15. Spark Integration with NoSQL (Cassandra) and Amazon EC2

  16. Spark Streaming

  17. Spark SQL

  18. Spark MLLib

  19. How to write and deploy Spark Applications

  20. Spark Parallel Processing

  21. Kafka

  22. Spark performance

  23. Scheduling and Partitioning




Detailed Weekly Schedule





Refund Policy



  • All Sales are Final. There are no Refunds.

  • If a student is not happy with the training experience, we strive to listen, take the feedback and implement honest and sincere measures to meet and exceed student expectations.

  • If a class is rescheduled/cancelled by the organizer, registered students will be offered a credit towards any future course.















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