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Course Description

Bootcamp | 30 hours | 3.0 CEUs | $3,295

Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. A data engineer conceives, builds and maintains the data infrastructure that holds your enterprise’s advanced analytics capacities together. This five day Data Engineering Bootcamp training course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material.

Course Outline

  • Chapter 1. Big Data for Data Engineers
  • Chapter 2. Defining Data Engineering
  • Chapter 3. Data Processing Phases
  • Chapter 4. Apache Hive
  • Chapter 5. Hive Command-line Interface
  • Chapter 6. Hive Data Definition Language
  • Chapter 7. HiveQL
  • Chapter 8. Hive Select Statement and Built-In Functions
  • Chapter 9. Introduction to Functional Programming
  • Chapter 10. Introduction to Apache Spark
  • Chapter 11. How Spark Works Visually
  • Chapter 12. The Spark Shell
  • Chapter 13. Spark RDDs
  • Chapter 14. Parallel Data Processing with Spark
  • Chapter 15. Shared Variables in Spark
  • Chapter 16. Introduction to Spark SQL

Prerequisites

There are no prerequisites for this course.

Duration

30 Hours | 5 Days or 10 Nights
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