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Our courses continue to evolve along with the fast-changing technological advances. Our instructor-led training services are available on a public and a private (in-company) basis. Some of our courses are also available as online, on demand, and hybrid training.

ApacheDev : Apache Spark Development

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Spark is a fast and general cluster computing system for Big Data. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, Spark ML for machine learning, GraphX for graph data processing, and Spark Streaming for live data stream processing. With Spark running on Apache Hadoop YARN, developers can create applications to derive actionable insights within a single, shared dataset in Hadoop.

This training course will teach you how to solve Big Data problems using Apache Spark framework. The training will cover a wide range of Big Data use cases such as ETL, DWH, data virtualization, streaming, graph data structure, machine learning. It will also demonstrate how Spark integrates with other well established Hadoop ecosystem products. You will learn the course curriculum through theory lectures, live demonstrations and lab exercises. This course will be taught in Python programming language.

Audience Profile


Following are the pre-requisites for the course.

  • Programming knowledge in Python is required
  • Basic Knowledge of big data use-cases.
  • Basic knowledge of databases, OLAP/OTLP use cases, SQL
  • Knowledge of Java stack – JVM is helpful

At Course Completion

Upon completion of this course, participants should be able to:
• Create real-world native apps using React
• Make truly reusable components that look great
• Understand the terminology and concepts of Redux
• Get up to speed with React design principles and methodologies
• Discover mobile design patterns used by experienced engineers

Course Outline

RM5,000.00(+RM400.00 Tax)
* Training Dates:

* Price excludes Exam

Course Information
4 Days

15-18 Jan 2024

2-5 Apr 2024

26-29 Aug 2024

4-7 Nov 2024

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