Introduction to Apache Spark for Developers and Engineers

Basic to intermediate level introduction to Apache Spark that provides the main skills required to use the technology
3.93 (123 reviews)
Udemy
platform
English
language
Development Tools
category
instructor
Introduction to Apache Spark for Developers and Engineers
625
students
3 hours
content
Sep 2015
last update
$29.99
regular price

Why take this course?

🌟 Introduction to Apache Spark for Developers and Engineers 🌟


What is Apache Spark?

Apache Spark is the next-generation open-source Big Data processing engine designed to handle large datasets with unprecedented speed and across diverse platforms. It's a unified analytics engine for large-scale data processing, which provides high-level APIs in Java, Scala, Python, and R, and an efficient execution engine that supports general execution graphs. Spark enables in-memory cluster computing, which greatly enhances the speed of iterative algorithms and interactive data mining tasks compared to traditional disk-based engines like Hadoop MapReduce.

Course Outcomes

'Introduction to Apache Spark' is a comprehensive course that offers:

  • Engaging video lectures 🎞️
  • Practical hands-on exercises in Scala and Spark 👨‍💻🔧
  • A detailed guide for local installation of Spark 📚
  • Quizzes to reinforce learning 🎫

Throughout the course, we will:

  • Explain core concepts of Spark
  • Teach you the basics of programming in Scala, Spark's native language
  • Guide you through working with RDDs (Resilient Distributed Datasets), which are Spark's primary abstraction for distributed data processing

By completing this course, you will:

  • Gain a clear understanding of Apache Spark's framework and capabilities.
  • Master the fundamentals of coding in Scala.
  • Learn to perform basic programming and data manipulation tasks within the Spark ecosystem. This course is designed to be completed in approximately 8 hours, equipping you with the main skills required to use Apache Spark effectively.

Recommended Experience

To fully benefit from this course, we recommend:

  • Familiarity with programming languages:
    • Scala (as the course exercises are in Scala)
    • Java
    • Python

The course is ideal for:

  • Data scientists and engineers
  • Developers
  • Individuals with a basic understanding of:
    • Apache Hadoop
    • Big Data concepts
    • Programming languages (Scala, Java, or Python)

For those who are new to Big Data and Apache Hadoop, the course will provide an introductory overview of these topics.


Why Adastra Academy?

Adastra Academy is your premier source for training and development in Information Management, particularly in Data Management and Analytics technology. Our commitment to staying ahead of the curve means we're among the first to offer courses on emerging technologies. 🚀

Our programs are designed to provide:

  • Hands-on labs to apply new skills immediately
  • Real-world examples for practical knowledge
  • A learning experience that goes beyond theoretical understanding, ensuring you can confidently navigate the world of Big Data and analytics.

Join us at Adastra Academy and take the first step towards mastering Apache Spark and becoming a key player in the realm of data processing and analytics. 📈💡

Course Gallery

Introduction to Apache Spark for Developers and Engineers – Screenshot 1
Screenshot 1Introduction to Apache Spark for Developers and Engineers
Introduction to Apache Spark for Developers and Engineers – Screenshot 2
Screenshot 2Introduction to Apache Spark for Developers and Engineers
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Screenshot 3Introduction to Apache Spark for Developers and Engineers
Introduction to Apache Spark for Developers and Engineers – Screenshot 4
Screenshot 4Introduction to Apache Spark for Developers and Engineers

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526136
udemy ID
11/06/2015
course created date
21/11/2019
course indexed date
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course submited by
Introduction to Apache Spark for Developers and Engineers - | Comidoc