Brief Introduction
Spark is a top open source project used by the largest companies and startups around the world to efficiently analyze messy data sets.Course Summary
Learn how to use Apache Spark to process big data at scale, and explore its various features such as Spark SQL, Spark Streaming, and Spark MLlib.Key Learning Points
- Learn to use Apache Spark to process big data at scale
- Explore various features such as Spark SQL, Spark Streaming, and Spark MLlib
- Gain practical experience through hands-on projects and exercises
Job Positions & Salaries of people who have taken this course might have
- USA: $105,000
- India: ₹1,200,000
- Spain: €45,000
- USA: $105,000
- India: ₹1,200,000
- Spain: €45,000
- USA: $120,000
- India: ₹1,500,000
- Spain: €55,000
- USA: $105,000
- India: ₹1,200,000
- Spain: €45,000
- USA: $120,000
- India: ₹1,500,000
- Spain: €55,000
- USA: $130,000
- India: ₹2,000,000
- Spain: €65,000
Related Topics for further study
Learning Outcomes
- Master Apache Spark and its various features
- Be able to process big data at scale
- Gain practical experience through hands-on projects and exercises
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of programming with Java, Python, or Scala
- Familiarity with SQL and relational databases
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Hands-on projects and exercises
- Expert mentor support
Similar Courses
- Big Data Essentials: Hadoop & Spark
- Distributed Computing with Apache Spark
Related Education Paths
Notable People in This Field
- Creator of Apache Spark
- Creator of Hadoop
Related Books
Description
Master how to work with big data and build machine learning models at scale using Spark!Requirements
- This course is ideal for students with programming and data analysis experience. See the Technology Requirements for using Udacity.
Knowledge
- Instructor videosLearn by doing exercisesTaught by industry professionals
Outline
- lesson 1 The Power of Spark Understand the big data ecosystem Understand when to use Spark and when not to use it lesson 2 Data Wrangling with Spark Manipulate data with SparkSQL and Spark Dataframes Use Spark for wrangling massive datasets lesson 3 Debugging and Optimization Troubleshoot common errors and optimize their code using the Spark WebUI lesson 4 Machine Learning with Spark Use Spark’s Machine Learning Library to train machine learning models at scale
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