Spark from A to Z with Scala
Published 11/2023
Created by Aymeric Neuvy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 43 Lectures ( 4h 16m ) | Size: 1.71 GB

Master Apache Spark with Scala, Learn SQL, Streaming, GraphX, MLlib, and PySpark basics.

What you'll learn
Master Apache Spark and its components using Scala.
Gain hands-on experience in Spark SQL, Streaming, GraphX, and MLlib.
Learn best practices for Spark application tuning and deployment.
Apply Spark in real-world case studies and projects.
Understand the differences and use-cases for using Spark with Scala vs PySpark.
Requirements
Basic understanding of programming concepts.
Familiarity with big data concepts is helpful but not required.
Access to a computer with an Internet connection for installing Spark and Scala.
No prior experience with Spark or Scala is required, we'll start from the basics.
Description
This comprehensive course takes you from a beginner to advanced level in understanding and implementing solutions with Apache Spark using Scala. It is designed for anyone interested in big data processing, regardless of prior experience with Spark or Scala.We begin with an overview of Apache Spark and Scala, including setting up your development environment. From there, we delve into Spark's core concepts, learning about Resilient Distributed Datasets (RDDs) and the fundamental operations they support.Next, we explore Spark SQL and DataFrames, providing hands-on experience with these powerful tools for data manipulation. We then dive into Spark Streaming, introducing concepts like DStream operations and integrating with Kafka.The course continues with an in-depth look at Graph Processing using GraphX and Machine Learning using MLlib, offering a comprehensive understanding of these two crucial Spark components.Additionally, we introduce PySpark, highlighting its use-cases and comparing it with Spark Scala.Finally, you will learn the best practices for Spark application tuning and deployment, integrating Spark with other big data tools, and applying Spark in real-world case studies.This course is perfect for software engineers, data scientists, IT professionals, and students who want to master big data technologies.So, enroll today and embark on your journey to mastering Apache Spark with Scala!
Who this course is for
Software engineers wanting to expand their big data processing skills using Apache Spark and Scala.
Data scientists seeking to implement scalable machine learning algorithms.
IT professionals aiming to transition into data-centric roles.
Students of computer science or related fields interested in mastering big data technologies.

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