Udemy – Introduction to Apache Spark for Developers and Engineers
Udemy – Introduction to Apache Spark for Developers and Engineers
MP4 | Video: 1280x720 | 96 kbps | 44 KHz | Duration: 3 Hours | 219 MB
Genre: eLearning | Language: English
MP4 | Video: 1280x720 | 96 kbps | 44 KHz | Duration: 3 Hours | 219 MB
Genre: eLearning | Language: English
Basic to intermediate level introduction to Apache Spark that provides the main skills required to use the technology
What is Apache Spark?
Apache Spark is the next generation open source Big Data processing engine. Spark is designed to provide fast processing of large datasets and high performance for a wide range of applications. Spark enables in-memory cluster computing which greatly improves the speed of iterative algorithms and interactive data mining tasks.
Course Outcomes
'Introduction to Apache Spark' includes illuminating video lectures, practical hands-on Scala and Spark exercises, a guide to local installation of Spark, and quizzes. In this course, we guide students through:
An explanation of the Spark framework
The basics of programming in Scala, Spark's native language
An outline of how to work with Spark's primary abstraction, resilient distributed datasets (RDDs).
Upon completion of the course, students will be able to explain core concepts relating to Spark, understand the fundamentals of coding in Scala, and execute basic programming and data manipulation in Spark. This course will take approximately 8 hours to complete.
Recommended Experience
Programming Languages recommended for this course:
Scala (course exercises are in Scala)
Java
Python
Recommended for:
Data scientists and engineers
Developers
Individuals with a basic understanding of: Apache Hadoop, Big Data, programming languages (Scala, Java, or Python)
For students unfamiliar with Big Data and Hadoop, the course will provide a brief overview of each topic.
Why Adastra Academy?
Adastra Academy is a leading source of training and development for Information Management professionals and individuals interested in Data Management and Analytics technology. Our dedication to identifying and mastering emerging technologies guarantees our students are the first to have access to these quality courses. For an exceptional learning experience, our programs include hands-on labs and real world examples allowing students to easily apply their new knowledge.
What are the requirements?
Basic understanding of Big Data concepts
Some understanding of a programming language such as Python, Java or Scala
Administrator privileges on a computer to download and install software
What am I going to get from this course?
Over 55 lectures and 3 hours of content!
Identify and understand the concepts of Big Data
Clearly describe Apache Spark
Understand and explain the various components of the Spark framework
Differentiate between Spark and Hadoop MapReduce
Download, install and use Spark on a local machine
Identify and understand the main Scala programming language concepts
Develop basic Spark applications
Explain and use Spark Resilient Distributed Datasets
What is the target audience?
Big Data Developers
Data Engineers
Big Data Consultants
Data Scientists
Recommended Experience
Programming Languages recommended for this course:
Scala (course exercises are in Scala)
Java
Python
Recommended for:
Data scientists and engineers
Developers
Individuals with a basic understanding of: Apache Hadoop, Big Data, programming languages (Scala, Java, or Python)
For students unfamiliar with Big Data and Hadoop, the course will provide a brief overview of each topic.
Why Adastra Academy?
Adastra Academy is a leading source of training and development for Information Management professionals and individuals interested in Data Management and Analytics technology. Our dedication to identifying and mastering emerging technologies guarantees our students are the first to have access to these quality courses. For an exceptional learning experience, our programs include hands-on labs and real world examples allowing students to easily apply their new knowledge.
What are the requirements?
Basic understanding of Big Data concepts
Some understanding of a programming language such as Python, Java or Scala
Administrator privileges on a computer to download and install software
What am I going to get from this course?
Over 55 lectures and 3 hours of content!
Identify and understand the concepts of Big Data
Clearly describe Apache Spark
Understand and explain the various components of the Spark framework
Differentiate between Spark and Hadoop MapReduce
Download, install and use Spark on a local machine
Identify and understand the main Scala programming language concepts
Develop basic Spark applications
Explain and use Spark Resilient Distributed Datasets
What is the target audience?
Big Data Developers
Data Engineers
Big Data Consultants
Data Scientists
Udemy – Introduction to Apache Spark for Developers and Engineers
